ICCS 2022: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

This page contains an index consisting of author-provided keywords.

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01 Knapsack Problem	KP01 solved by an n-Dimensional Sampling and Clustering Heuristic.
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30-day readmission	Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
3D CNN	Action Recognition in Australian Rules Football through Deep Learning
3d Latent Factor Model	Multi-Contextual Recommender using 3D Latent Factor Models and Online Tensor Decomposition
A
A64FX	Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer
absolute binding free energy (ABFE)	Large Scale Study of Absolute Ligand-Protein Binding Free Energy Predictions
Absolute bond elongation	Peridynamic Damage Model Based on Absolute Bond Elongation
access	To Have and Have Not: Addressing inequities for learners accessing computational science environments
Accuracy	Enforcing State Constraints in Dynamical Systems Modelled with Neural Networks
Action recognition	Action Recognition in Australian Rules Football through Deep Learning
activation function	MgNet with Hat Activation Function
Activity recognition	Action Recognition in Australian Rules Football through Deep Learning
Actors	A Productive and Scalable Actor-based Programming System for PGAS Applications
adaptation of variation operators' parameters	Neural-Network based Adaptation of Variation Operators' Parameters for Metaheuristics
Adaptive collocation	Adaptive Deep Learning Approximation for Allen-Cahn Equation
adaptive networks	An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
Adaptive partition	Elastic Resource Allocation based on Dynamic Perception of Operator Influence Domain in Distributed Stream Processing
Adaptivity	Time-marching DPG scheme and adaptivity for transient partial differential equations
Adjacency Matrix	A Sparse Matrix Approach for Covering Large Complex Networks by Cliques
adjoint	A Note on Adjoint Linear Algebra
Adsorption	Modeling contrast perfusion and adsorption phenomena in the human left ventricle
Advection-Diffusion-Reaction	Fast isogeometric analysis simulations of a process of air pollution removal by artificially generated shock waves
Adversarial autoencoder	Generative Networks Applied to Model Fluid Flows
Adversarial neural networks	Reduced order surrogate modelling and Latent Assimilation for dynamical systems
affective computing	Mobile game evaluation method based on data mining of affective time-series
Ageing	A Simulation Study of the Delayed Effect of Covid-19 Pandemic on Pensions and Welfare of the Elderly: Evidence from Poland
Agent Based Modelling	Forced displacement in Mali - Analysing the effect of the physical environment on refugee flight routes
agent-based model	Purchasing decisions on alternative fuel vehicles within the agent-based model Relativitization: a social simulation framework in 4D relativistic spacetime A hypothetical agent-based model inspired by the abstraction of solitary behavior in tigers and its employment as a chain code for compression Private and public opinions in a model based on the total dissonance function: A simulation study Modeling Economies at Full-Scale: Every Worker, Every Firm
Agent-based modeling	The importance of Scaling for an Agent Based Model: an illustrative case study with COVID-19 in Zimbabwe
Agent-Based Modelling	Validation of migration models in the face of inconsistent data: a perspective from four conflicts An agent-based forced displacement simulation: A case study of the Tigray crisis The importance of Scaling for an Agent Based Model: an illustrative case study with COVID-19 in Zimbabwe
Agent-Based Simulation	Responding to Current and Future Pandemics using Agent-Based Simulation Modelling the Long-Term Impact of Covid-19
algebraic attacks	Quantum annealing and algebraic attack on Speck cipher
algorithm complexity	imple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in E2: Analysis and Comparative Results
algorithmic differentiation	Numerical Stability of Tangents and Adjoints of Implicit Functions A Note on Adjoint Linear Algebra
Algorithms	Dense Temporal Subgraphs in Protein-Protein Interaction Networks
Allen-Cahn equation	Adaptive Deep Learning Approximation for Allen-Cahn Equation
Alternative fuel vehicle	Purchasing decisions on alternative fuel vehicles within the agent-based model
Amorphous polyethylene	Molecular Dynamics Study on Solubility, Diffusion and Permeation of Hydrogen in Amorphous Polyethylene
Analog sound	Designing a training set for musical instruments identification
analytic hierarchy process	Digging Deeper Into the State of the Practice for Domain Specific Research Software
Ancilla Qubit	Efficient constructions for simulating Multi Controlled Quantum Gates
Anomaly detection	Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: an Application in Anomaly Detection Detecting Ottokar II’s 1248–1249 uprising and its instigators in co-witnessing networks
Antenna design	Multi-Criterial Design of Antennas with Tolerance Analysis Using Response-Feature Predictors
Aorta	Blood Flow Simulation of Left Ventricle with Twisted Motion
Application case studies	Development of an Event-Driven System Architecture for Smart Manufacturing
Approximate Learning	Approximate Function Classification
ARIMA	Phase-field modelling of brittle fracture using time-series forecasting ARIMA Feature-Based Approach to Time Series Classifcation
arterial hypertension	Neural Additive Models for Explainable Heart Attack Prediction
artificial intelligence	Quantum Variational Multi-Class Classifier for the Iris Data Set Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles Comparing explanations from glass-box and black-box machine-learning models Assimilating Sky Camera Cloud Information via Convolutional Neural Networks Big AI: Blending Artificial Intelligence and Physics-based Approaches to Build Virtual Humans
Artificial neural networks	Performance of Computing Hash-codes with Chaotically-trained Artificial Neural Networks Learning optimal test functions for goal-oriented FEM
Atmoshperic pollution reduction methods	Fast isogeometric analysis simulations of a process of air pollution removal by artificially generated shock waves
attributed graph	Retrofitting structural graph embeddings with node attribute information
Australian rules football	Action Recognition in Australian Rules Football through Deep Learning
Authentication	Challenges and Future Directions in the Implementation of User Authentication Protocols Utilizing Quantum Computing
auto-scaling	Auto-scaling of scientific workflows in Kubernetes
automated guided vehicles	On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles
automatic differentiation	Reducing Memory Requirements of Quantum Optimal Control Boundary geometry fitting with Bézier curves in PIES based on automatic differentiation
automatic evaluation	Image Features Correlation with the Impression Curve for Automatic Evaluation of the Computer Game Level Design
automation	Ultrafast Focus Detection for Automated Microscopy Characterizing Wildfire Perimeter Polygons from QUIC-Fire
autonmous laboratories	Ultrafast Focus Detection for Automated Microscopy
autonomous guided vehicles	Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles
autoregressive model	Calibration window selection based on change-point detection for forecasting electricity prices
AWS Lambda	Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading
B
B-N co-doping	n-type B-N co-doping and N Doping in diamond from first principles
B-spline	Adaptive Regularization of B-Spline Models for Scientific Data
Bank Default	Forecasting bank default with the Merton model: The case of US banks
Batch Linear Algebra	Batch QR Factorization on GPUs: Design, Optimization, and Tuning
Bayesian Inference	Characterization of Foam‑Assisted Water-Gas Flow via Inverse Uncertainty Quantification Techniques
Bayesian Inverse Problems	Multilevel Delayed Acceptance MCMC: Cascading Distributions, Variance Reduction and Adaptive Error Models
Bayesian Network	Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case
Bayesian networks	Temporal-Attribute Inference in Social Networks using Dynamic Bayesian Networks
BERT-BiLSTM	Sentence-level Sentiment Analysis Using GCN on Contextualized Word Representations
bi-clustering	Consensus algorithm for bi-clustering analysis
BiLSTM	Neuro-symbolic Models for Sentiment Analysis MultiEmo: Language-agnostic Sentiment Analysis
Binary compressive sensing	Quantum-Classical Solution Methods for Binary Compressive Sensing Problems
Binary search	Iterative solution for the narrow passage problem in motion planning
Binding affinity	Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets
Bioheat	Tissue Damage Control Algorithm for Hyperthermia Based Cancer Treatments
Bioinformatics	Data augmentation techniques to improve metabolomic analysis in Niemann-Pick type C disease Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading GAN-based Data Augmentation for prediction improvement using gene expression data in cancer
biological process model	Analysis of parameters distribution of EEG signals for five epileptic seizure phases modeled by duffing Van der Pol oscillator
biomechanic	Musculoskeletal model of human lower limbs in gait simulation
Biomedical signals	Wavelet Scattering Transform for PhotoPlethysmoGraphic (PPG) Signal Analysis
Block cipher	A first attempt at cryptanalyzing a (toy) block cipher by means of QAOA
blockchain	Prediction of Ether Prices Using DeepAR and Probabilistic Forecasting
Blood flow simulation	Blood Flow Simulation of Left Ventricle with Twisted Motion
Bond-based	Peridynamic Damage Model Based on Absolute Bond Elongation
Boosted ensemble learning	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting
Bootstrap sampling	Hierarchical Ensemble based Imbalance Classification
Bottleneck	Iterative solution for the narrow passage problem in motion planning
Bound state	Isogeometric Analysis of Bound States of a Quantum Three-Body Problem in 1D
boundary value problems	Acceleration of interval PIES computations using interpolation of kernels with uncertainly defined boundary shape
Brittle Fracture Model	Phase-field modelling of brittle fracture using time-series forecasting
Bubble plots	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Bubbly flow	DNS of mass transfer in bi-dispersed bubble swarms
buildings	Incremental dynamic analysis and fragility assessment of buildings with different structural arrangements experiencing earthquake-induced structural pounding
Bézier curves	Boundary geometry fitting with Bézier curves in PIES based on automatic differentiation
C
Calibrating and validating pedestrian dynamics models	Analyzing the usefulness of public web camera video sequences for calibrating and validating pedestrian dynamics models
calibration window	Calibration window selection based on change-point detection for forecasting electricity prices
Cancer	Tissue Damage Control Algorithm for Hyperthermia Based Cancer Treatments
Cancer cells	Role of mechanotransduction in promoting intracellular and intercellular transmigration of cancer cells through endothelium in microvasculature
Caputo derivative	Pseudo-Newton Method with Fractional Order Derivatives
Cardiac Mechanics	Forward Uncertainty Quantification and Sensitivity Analysis of the Holzapfel-Ogden Model for the Left Ventricular Passive Mechanics
CAS	Supporting education in advanced mathematical analysis problems by symbolic computational techniques using computer algebra system
catalysis	Optimization-free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts using Multi-Target Machine Learning
categorical feature encoding	Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
causal inference	Neuroevolutionary Feature Representations for Causal Inference
cell packing	Establishing metrics to quantify underlying structure in vascular red blood cell distributions
Cellular Automaton	Developing a Scalable Agent-Based Model of 3D Tumor Growth
CFD	Simulation of nearly missing helicopters through the computational fluid dynamics approach Machine Learning based surrogate models for COVID-19 infection risk assessment.
CGAN	GAN-based Data Augmentation for prediction improvement using gene expression data in cancer
chain code	A hypothetical agent-based model inspired by the abstraction of solitary behavior in tigers and its employment as a chain code for compression
change-point detection	Calibration window selection based on change-point detection for forecasting electricity prices
chaos	Wavelet Scattering Transform for PhotoPlethysmoGraphic (PPG) Signal Analysis Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents
Chaotic MD	Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets
Chart data extraction	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Chart images	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Chart type classification	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Chemical synapse	Modularity promotes excitation-inhibition balance in synaptically coupled neuronal networks
Chemistry Tabulation	ChemTab: A Physics Guided Chemistry Modeling Framework
chicken swarm optimization	An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
Chinese Language Processing	Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language
Circle geometry	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Circle Hough Transform (CHT)	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Classification	Resting-state EEG classification for PNES diagnosis Wavelet Scattering Transform for PhotoPlethysmoGraphic (PPG) Signal Analysis Learning I/O Variables from Scientific Software's User Manuals Impact of clustering on a synthetic instance generation in imbalanced data streams classification Wide ensembles of neural networks in music genre classification ARIMA Feature-Based Approach to Time Series Classifcation
Classifier committee	Enhancing Decision Combination in Classifier Committee via Positional Voting
Clique Cover	A Sparse Matrix Approach for Covering Large Complex Networks by Cliques
cloud	Extensible, cloud-based open environment for remote classes reuse
cloud computing	Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 Pandemic Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles Cloud as a Platform for W-Machine Didactic Computer Simulator
cluster head selection	An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
clustering	Impact of clustering on a synthetic instance generation in imbalanced data streams classification Characterising Metallic Nanoparticle Surfaces Using Unsupervised Machine Learning KP01 solved by an n-Dimensional Sampling and Clustering Heuristic. An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
CNN	MgNet with Hat Activation Function
co-circulation	A hybrid modeling framework for city-scale dynamics of multi-strain influenza epidemics
Coarse grain models	Neutron scattering calculation for coarse grain models
coarse-grid optimization	Acceleration of Optimized Coarse-grid Operators by Spatial Redistribution for Multigrid Reduction in Time
Code generation	FINCH: Domain Specific Language and Code Generation for Finite Element and Finite Volume in Julia Automating and Scaling Task-Level Parallelism of Tightly Coupled Models via Code Generation
Coevolution	Coevolutionary Approach to Sequential Stackelberg Security Games
Cognition	AI Classifications Applied to Neuropsychological Trials in Normal Individuals That Predict Progression to Cognitive Decline
Collective behavior	Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-Agent Systems
Collective intelligence	Enhancing Decision Combination in Classifier Committee via Positional Voting Divergence of an Observed User Profile and a Simulated Real State of User due to Social Communication From Individual to Collective: Intelligence Amplification with Bio-Inspired Decisional DNA and its Extensions
Collective of classifiers	Collective of base classifiers for mining imbalanced data
collocation method	Acceleration of interval PIES computations using interpolation of kernels with uncertainly defined boundary shape
Combinatorial optimization	Quantum approaches for WCET-related optimization problems
Communication Aggregation	A Productive and Scalable Actor-based Programming System for PGAS Applications
Community detection algorithms	Networks clustering-based approach for search of reservoirs-analogues
Comorbidity	Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases
compartmental models	A hybrid modeling framework for city-scale dynamics of multi-strain influenza epidemics
Competition	Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-Agent Systems
complex integrals	Supporting education in advanced mathematical analysis problems by symbolic computational techniques using computer algebra system
Complex Networks	Using Complex Networks to Simplify a Marine Biogeochemical Model for ML Emulation
Complex systems	Validation and Optimisation of Player Motion Models in Football
compression	A hypothetical agent-based model inspired by the abstraction of solitary behavior in tigers and its employment as a chain code for compression
Computational design	Enhancing computational steel solidification by a nonlinear transient thermal model
Computational fluid dynamics	Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 Pandemic Simulation of virus-laden droplets transmitted from lung to lung Blood Flow Simulation of Left Ventricle with Twisted Motion Numerical simulation of an infinite array of airfoils with a finite span
computational geometry	imple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in E2: Analysis and Comparative Results
Computational health	CLASSIFICATION OF UTERINE FIBROIDS IN ULTRASOUND IMAGES USING DEEP LEARNING MODEL
computational insects	The Computational Planet – with Computational Insects: Wavelet-Based Adaptive Simulations of Flapping Flight
Computational mathematics	Supporting education in advanced mathematical analysis problems by symbolic computational techniques using computer algebra system
Computational Modeling	Modeling contrast perfusion and adsorption phenomena in the human left ventricle Adaptive Regularization of B-Spline Models for Scientific Data
computational modelling	Framework for developing quantitative agent-based models based on qualitative expert knowledge: an organized crime use-case
Computational optimization	Classification of Soil Bacteria Based on Machine Learning and Image Processing
computational science	Snowflake Generation Cloud as a Platform for W-Machine Didactic Computer Simulator Automated variance-based sensitivity analysis of a heterogeneous atomistic-continuum system Computational Science 101 - Towards a Computationally Informed Citizenry Wide ensembles of neural networks in music genre classification
compute budget	To Have and Have Not: Addressing inequities for learners accessing computational science environments
Computed tomography	Continuous-to-continuous data model vs. discrete-to-discrete data model for the statistical iterative reconstruction method - optimization of the computational complexity
computer model	Cloud as a Platform for W-Machine Didactic Computer Simulator
computer vision	Ultrafast Focus Detection for Automated Microscopy
consensus methods	Consensus algorithm for bi-clustering analysis
Contextual Embeddings	Is Context All You Need? Non-Contextual vs Contextual Multiword Expressions Detection
Contextual Features	Multi-Contextual Recommender using 3D Latent Factor Models and Online Tensor Decomposition
Contextual-based GCN	Sentence-level Sentiment Analysis Using GCN on Contextualized Word Representations
Contrast-enhanced MRI	Modeling contrast perfusion and adsorption phenomena in the human left ventricle
Control volume method	Exploration of Modeling and Simulations for Drug Release from PLGA Particles
convex hull	imple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in E2: Analysis and Comparative Results
convex optimization	Supporting education in advanced mathematical analysis problems by symbolic computational techniques using computer algebra system
Conveyors	A Productive and Scalable Actor-based Programming System for PGAS Applications
Convolutional Neural Network	Convolutional neural network compression via tensor-train decomposition on permuted weight tensor with automatic rank determination Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
Convolutional Neural Network (CNN)	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
convolutional neural networks	Out-of-distribution Detection in High-dimensional Data Using Mahalanobis Distance - Critical Analysis PRISM: Principal Image Sections Mapping Assimilating Sky Camera Cloud Information via Convolutional Neural Networks
Correction	Enforcing State Constraints in Dynamical Systems Modelled with Neural Networks
counterfactual inference	Neuroevolutionary Feature Representations for Causal Inference
COVID-19	Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection Simulation of virus-laden droplets transmitted from lung to lung Facial mask impact on human age and gender classification AMDetector: Detecting Large-scale and Novel Android Malware Traffic CHARM: A Discrete-Event Simulation for Dynamic ICU Bed Capacity Management for Covid-19 Responding to Current and Future Pandemics using Agent-Based Simulation Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case Modelling the Long-Term Impact of Covid-19 Modelling and Simulation to Inform Policy Responses to Global Threats: Lessons from COVID-19
Crank-Nicolson	Linear computational cost implicit variational splitting solver with non-regular material data for parabolic problems
Cross-correlation function	Calculation of Cross-correlation Function Accelerated by Tensor Cores with TensorFloat-32 precision on Ampere GPU
cross-language NLP	MultiEmo: Language-agnostic Sentiment Analysis
crossover	Local Search in Selected Crossover Operators
Crowd simulation	Analyzing the usefulness of public web camera video sequences for calibrating and validating pedestrian dynamics models
Cryptanalysis	Quantum annealing and algebraic attack on Speck cipher
Cryptography	A first attempt at cryptanalyzing a (toy) block cipher by means of QAOA
Cultural Heritage	Accessing the Spanish Digital Network of Museum Collections through an Interactive Web-based Map
Curriculum learning	SEGP: Stance-Emotion joint Data Augmentation with Gradual Prompt-tuning for Stance detection
Curve fitting	A GPU-based algorithm for environmental data filtering
customer requirements	Uncertainty occurrence in projects and its consequences for project management
customized target encoding	Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
Cyberbullying detection	Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language
Cybersecurity	Coevolutionary Approach to Sequential Stackelberg Security Games
D
D-Wave	Benchmarking D-Wave Quantum Annealers: spectral gap scaling of maximum cardinality matching problems
D-Wave Advantage	Practical solving of discrete logarithm problem over prime fields using quantum annealing Quantum annealing and algebraic attack on Speck cipher
Damage	Peridynamic Damage Model Based on Absolute Bond Elongation
Data acquisition and visualization	Acquisition, storing, and processing system for interdisciplinary research in Earth sciences
data aggregations	On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles
data allocation	Data Allocation based on Neural Similarity Estimation
Data analysis	Acquisition, storing, and processing system for interdisciplinary research in Earth sciences
data assimilation	TEDA: A Computational Toolbox for Teaching Ensemble Based Data Assimilaton Reduced order surrogate modelling and Latent Assimilation for dynamical systems Assimilating Sky Camera Cloud Information via Convolutional Neural Networks Using Complex Networks to Simplify a Marine Biogeochemical Model for ML Emulation Turbulent Mean Flow Reconstruction Using Physics-Informed Neural Networks
Data augmentation	Data augmentation techniques to improve metabolomic analysis in Niemann-Pick type C disease GAN-based Data Augmentation for prediction improvement using gene expression data in cancer SEGP: Stance-Emotion joint Data Augmentation with Gradual Prompt-tuning for Stance detection
data clustering	Outlier detection for categorial data using clustering algorithms
data collection	Modeling Approach in Teaching Differential Equations
Data Fitting	Non-Generic Case of Leap-Frog for Optimal Knots Selection in Fitting Reduced Data
Data Gathering	Towards Automated Application-Agnostic Verification for Simulations
Data integration	Development of an Event-Driven System Architecture for Smart Manufacturing
Data Mining	Resting-state EEG classification for PNES diagnosis Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases Comparing explanations from glass-box and black-box machine-learning models
Data modelling and simulation	Non-Generic Case of Leap-Frog for Optimal Knots Selection in Fitting Reduced Data
data placement	Data Allocation based on Neural Similarity Estimation
Data Skew	Towards a Scalable Set Similarity Join using MapReduce and LSH
Data stream processing	Elastic Resource Allocation based on Dynamic Perception of Operator Influence Domain in Distributed Stream Processing
data visualization	Getting formal Ontologies closer to final users through Knowledge Graph Visualization: interpretation and misinterpretation Modeling Approach in Teaching Differential Equations
Data-flow computing	The new UPC++ DepSpawn high performance library for data-flow computing with hybrid parallelism
Dataset design	Designing a training set for musical instruments identification
DCT	Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
Decisional DNA	From Individual to Collective: Intelligence Amplification with Bio-Inspired Decisional DNA and its Extensions
deep active subspaces	On the deep active subspace method
Deep Autoencoders	Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model
Deep learning	Out-of-distribution Detection in High-dimensional Data Using Mahalanobis Distance - Critical Analysis Reduced order surrogate modelling and Latent Assimilation for dynamical systems Transfer Learning Approach to Prediction of Rate of Penetration in Drilling Generative Networks Applied to Model Fluid Flows PRISM: Principal Image Sections Mapping GAN-based Data Augmentation for prediction improvement using gene expression data in cancer POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection Adaptive Deep Learning Approximation for Allen-Cahn Equation HNOP: Attack Traffic Detection based on Hierarchical Node Hopping Features of Packets Facial mask impact on human age and gender classification Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis, Deep Learning and PDE-Constrained Optimization Explainable AI with Domain Adapted FastCAM for Endoscopy Images CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning A Deep-learning-based Mesh Refinement Framework for Solving PDEs Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines
Deep Neural Network	CLASSIFICATION OF UTERINE FIBROIDS IN ULTRASOUND IMAGES USING DEEP LEARNING MODEL
deep neural networks	ChemTab: A Physics Guided Chemistry Modeling Framework Application of the hierarchic memetic strategy HMS in neuroevolution
Deep Reinforcement Learning	Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning
DeepAR	Prediction of Ether Prices Using DeepAR and Probabilistic Forecasting
delay	An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
Dense Graphs	Partitioning Dense Graphs with Hardware Accelerators
Densest Subgraphs	Dense Temporal Subgraphs in Protein-Protein Interaction Networks
derivational morphology	Classification and Generation of Derivational Morpho-semantic Relations for Polish Language
Detection of Multiword Expressions	Is Context All You Need? Non-Contextual vs Contextual Multiword Expressions Detection
developer pain points	Digging Deeper Into the State of the Practice for Domain Specific Research Software
DG	A lowest-order staggered discontinuous Galerkin method for the Stokes-Darcy model
diameter	imple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in E2: Analysis and Comparative Results
differential equations	Modeling Approach in Teaching Differential Equations
differential evolution	Tissue Damage Control Algorithm for Hyperthermia Based Cancer Treatments Numerical approximation of the one-way Helmholtz equation using the differential evolution method Data-driven discovery of time fractional differential equations
Diffusion	Purchasing decisions on alternative fuel vehicles within the agent-based model Exploration of Modeling and Simulations for Drug Release from PLGA Particles
Digital Annealer	Partitioning Dense Graphs with Hardware Accelerators
digital divide	To Have and Have Not: Addressing inequities for learners accessing computational science environments
Digital Health	National Network for Rare Diseases in Brazil: The Computational Infrastructure and Preliminary Results
Digital platforms	Privacy paradox in social media: A system dynamics analysis
Digital sound	Designing a training set for musical instruments identification
Directed intervals	Interval modification of the fast PIES in solving 2D potential BVPs with uncertainly defined polygonal boundary shape
discrete logarithm problem	Practical solving of discrete logarithm problem over prime fields using quantum annealing
discrete optimization	Distributed Quantum Annealing on D-Wave for the single machine total weighted tardiness scheduling problem
Discrete time models	Adaptive Deep Learning Approximation for Allen-Cahn Equation
Discrete wavelet transform (DWT)	A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode
Discrete-Event Simulation	CHARM: A Discrete-Event Simulation for Dynamic ICU Bed Capacity Management for Covid-19
discretization	Effect of feature discretization on classification performance of explainable scoring-based machine learning model
dissonance	Private and public opinions in a model based on the total dissonance function: A simulation study
Distance metrics	Networks clustering-based approach for search of reservoirs-analogues
distributed computing	Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer A Framework for Network Self-evolving based on Distributed Swarm Intelligence
Distributed Consensus	A Framework for Network Self-evolving based on Distributed Swarm Intelligence
Distributed Optimization	Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-Agent Systems A Framework for Network Self-evolving based on Distributed Swarm Intelligence
Domain decomposition	Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids
Domain specific language	FINCH: Domain Specific Language and Code Generation for Finite Element and Finite Volume in Julia
domain specific languages	Compiling Linear Algebra Expressions into Efficient Code
Dot plots	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
DPG method	Time-marching DPG scheme and adaptivity for transient partial differential equations
drift detection	Streaming detection of significant delay changes in public transport systems
drug discovery	Computational Challenges for Biomolecular Simulation Approaches to Drug Discovery
Drug release	Exploration of Modeling and Simulations for Drug Release from PLGA Particles
DSCAN	DSCAN for Geo-Social Team Formation
Dynamic correlation	Elastic Resource Allocation based on Dynamic Perception of Operator Influence Domain in Distributed Stream Processing
Dynamic Knowledge Graph	Time Series Attention Based Transformer Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence
dynamics	On a New Generalised Iteration Method in the PSO-based Newton-like Method Pseudo-Newton Method with Fractional Order Derivatives
E
E3SM Land Model	Developing an ELM Ecosystem Dynamics Model on GPU with OpenACC
Earth Science	Using Complex Networks to Simplify a Marine Biogeochemical Model for ML Emulation
Earth System Models	Developing an ELM Ecosystem Dynamics Model on GPU with OpenACC
earthquakes	Incremental dynamic analysis and fragility assessment of buildings with different structural arrangements experiencing earthquake-induced structural pounding
Earthquakes.‎	Investigating an optimal computational strategy to retrofit buildings with implementing viscous dampers
economy modeling	Modeling Economies at Full-Scale: Every Worker, Every Firm
Ecosystem Dynamics	Developing an ELM Ecosystem Dynamics Model on GPU with OpenACC
edge analytics	Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles
edge computing	Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles
Education	TEDA: A Computational Toolbox for Teaching Ensemble Based Data Assimilaton
education computational science	To Have and Have Not: Addressing inequities for learners accessing computational science environments
Education for Sustainable Development	Tackling air pollution in cities with modelling and simulation: Remote Group Model Building as an Educational Tool Supporting System Dynamics Modelling
Educational facilitation tool	Tackling air pollution in cities with modelling and simulation: Remote Group Model Building as an Educational Tool Supporting System Dynamics Modelling
EEG	Resting-state EEG classification for PNES diagnosis Analysis of parameters distribution of EEG signals for five epileptic seizure phases modeled by duffing Van der Pol oscillator
Effective models	Effective non-linear flow models in fractured porous medium
Efficient Quantum Algorithms	Efficient constructions for simulating Multi Controlled Quantum Gates
Elastic-plastic problem	Multipoint meshless FD schemes applied to nonlinear and multiscale analysis
elastoplastic problems	PIES with trimmed surfaces for solving elastoplastic boundary problems
elderly patients readmission	Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
electricity price forecasting	Calibration window selection based on change-point detection for forecasting electricity prices
Electrocardiography (ECG)	A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode
empirical measures	Digging Deeper Into the State of the Practice for Domain Specific Research Software
empirical risk minimization	Classification methods based on fitting logistic regression to positive and unlabeled data
Endoscopy Image processing	Explainable AI with Domain Adapted FastCAM for Endoscopy Images
Endothelial Cells	Role of mechanotransduction in promoting intracellular and intercellular transmigration of cancer cells through endothelium in microvasculature
energy efficiency	An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
energy-aware computing	GPU power capping for energy-performance trade-offs in training of Deep Convolutional Neural Networks for image recognition
Engineering optimization and design	Development of an Event-Driven System Architecture for Smart Manufacturing
Enhanced oil recovery	Characterization of Foam‑Assisted Water-Gas Flow via Inverse Uncertainty Quantification Techniques
Ensemble forecasting	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting
Ensemble Kalman Filter	TEDA: A Computational Toolbox for Teaching Ensemble Based Data Assimilaton
ensemble methods	Consensus algorithm for bi-clustering analysis
ensemble of numerical solutions	On a nonlinear approach to uncertainty quantification on the ensemble of numerical solutions
Entropy	Analysis of public transport (in)accessibility and land use pattern in different areas in Singapore
Environment protection	Acquisition, storing, and processing system for interdisciplinary research in Earth sciences
Environmental Education	Tackling air pollution in cities with modelling and simulation: Remote Group Model Building as an Educational Tool Supporting System Dynamics Modelling
EOS	A Survey on Sustainable Software Ecosystems to Support Experimental and Observational Science at Oak Ridge National Laboratory
error analysis	Numerical Stability of Tangents and Adjoints of Implicit Functions
error based exploration	Global Surrogate Modeling by Neural Network-Based Model Uncertainty
Ethereum	Prediction of Ether Prices Using DeepAR and Probabilistic Forecasting
Euler equations	On a nonlinear approach to uncertainty quantification on the ensemble of numerical solutions
Evapotranspiration	A study on the prediction of evapotranspiration using freely available meteorological data
Event Extraction	MHGEE: Event Extraction via Multi-Granularity Heterogeneous Graph
event sequence	Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
Event-driven system architecture	Development of an Event-Driven System Architecture for Smart Manufacturing
evolutionary algorithm	Human-level Melodic Line Harmonization Application of the hierarchic memetic strategy HMS in neuroevolution
Evolutionary algorithms	Neural-Network based Adaptation of Variation Operators' Parameters for Metaheuristics Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach
Exascale Energy Earth System Model	Developing an ELM Ecosystem Dynamics Model on GPU with OpenACC
Excitation-Inhibition balance	Modularity promotes excitation-inhibition balance in synaptically coupled neuronal networks
Experimental and Observational Science	A Survey on Sustainable Software Ecosystems to Support Experimental and Observational Science at Oak Ridge National Laboratory
Explainability	Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?
Explainable AI	POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection Explainable AI with Domain Adapted FastCAM for Endoscopy Images Comparing explanations from glass-box and black-box machine-learning models
explainable artificial intelligence	Performance of Explainable AI methods in asset failure prediction
explainable machine learning	Effect of feature discretization on classification performance of explainable scoring-based machine learning model
Exponential integrators	Time-marching DPG scheme and adaptivity for transient partial differential equations
expressed opinion	Private and public opinions in a model based on the total dissonance function: A simulation study
Extracellular matrix	Role of mechanotransduction in promoting intracellular and intercellular transmigration of cancer cells through endothelium in microvasculature
Extraction	Models and Metrics for Mining Meaningful Metadata
Extreme Events	Statistical prediction of extreme events from small datasets
Eye Tracking	Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality
F
Face recognition	Facial mask impact on human age and gender classification
Facility location problem	Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach
Fast PIES	Interval modification of the fast PIES in solving 2D potential BVPs with uncertainly defined polygonal boundary shape
FastCAM	Explainable AI with Domain Adapted FastCAM for Endoscopy Images
feature importance	Machine-learning classification of short-term memory tasks in ROI-based fMRI data
feature representations	Neuroevolutionary Feature Representations for Causal Inference
Federated learning	Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles Stock Predictor with Graph Laplacian-based Multi-task Learning A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: an Application in Anomaly Detection CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning
Ferrofluid	A decoupled, linear, and unconditionally energy stable finite element method for a two-phase ferrohydrodynamics model
File Type Identification	Models and Metrics for Mining Meaningful Metadata
Filtering	A GPU-based algorithm for environmental data filtering
Finance and Economics	Social Media and News Diffusion Effect on Macroeconomic Indicator Interdependencies
finite element	Parallel fluid-structure interaction simulation
Finite element method	Efficient computational algorithm for stress analysis in hydro-sediment-morphodynamic models FINCH: Domain Specific Language and Code Generation for Finite Element and Finite Volume in Julia 1D Painless Multi-Level Automatic Goal-Oriented h and p Adaptive Strategies using a Pseudo-Dual Operator Automated variance-based sensitivity analysis of a heterogeneous atomistic-continuum system
Finite volume method	DNS of mass transfer in bi-dispersed bubble swarms Efficient computational algorithm for stress analysis in hydro-sediment-morphodynamic models FINCH: Domain Specific Language and Code Generation for Finite Element and Finite Volume in Julia
firm dynamics	Modeling Economies at Full-Scale: Every Worker, Every Firm
flapping airfoil	Numerical simulation of an infinite array of airfoils with a finite span
flapping flight	The Computational Planet – with Computational Insects: Wavelet-Based Adaptive Simulations of Flapping Flight
Flow in porous media	Effective non-linear flow models in fractured porous medium
Fluid Dynamics	Machine Learning based surrogate models for COVID-19 infection risk assessment.
fluid-structure interaction	Parallel fluid-structure interaction simulation
fMRI	Machine-learning classification of short-term memory tasks in ROI-based fMRI data
Foam Dynamics	Characterization of Foam‑Assisted Water-Gas Flow via Inverse Uncertainty Quantification Techniques
food-water-energy systems	Analysis of Agricultural and Engineering Processes using Simulation Decomposition
Football	Validation and Optimisation of Player Motion Models in Football
Forced Displacement	Validation of migration models in the face of inconsistent data: a perspective from four conflicts An agent-based forced displacement simulation: A case study of the Tigray crisis
Forecasting	GPU accelerated modelling and forecasting for large time series Numerical and Statistical Probability Distribution Transformation for Modeling Traffic in Optical Networks
Forecasting time series with multiple seasonality	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting
Forward Degree Cumulative	Intersection Representation of Big Data Networks and Triangle Enumeration
Forward Neighbours	Intersection Representation of Big Data Networks and Triangle Enumeration
Fractional differential equations	Data-driven discovery of time fractional differential equations
Fracture	Effective non-linear flow models in fractured porous medium
fragility assessment	Incremental dynamic analysis and fragility assessment of buildings with different structural arrangements experiencing earthquake-induced structural pounding
Free Music Archive Dataset	Wide ensembles of neural networks in music genre classification
Function Classification	Approximate Function Classification
functional approximation	Adaptive Regularization of B-Spline Models for Scientific Data
functional programming	Computational Science 101 - Towards a Computationally Informed Citizenry
Functional Unit Testing	Developing an ELM Ecosystem Dynamics Model on GPU with OpenACC
Fuzzy bounding	CLASSIFICATION OF UTERINE FIBROIDS IN ULTRASOUND IMAGES USING DEEP LEARNING MODEL
Fuzzy Cognitive Maps	Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data
fuzzy logic	Fuzzy logic framework for ontology instance alignment
G
gait simulation	Musculoskeletal model of human lower limbs in gait simulation
game data mining	Mobile game evaluation method based on data mining of affective time-series
gas price	Prediction of Ether Prices Using DeepAR and Probabilistic Forecasting
Gaussian-based oversampling	Hierarchical Ensemble based Imbalance Classification
Gene expression	GAN-based Data Augmentation for prediction improvement using gene expression data in cancer
Gene expression programming	Collective of base classifiers for mining imbalanced data
General metaheuristic	A Taxonomy Guided Method to Identify Metaheuristic Components
Generative Adversarial Networks	Generative Networks Applied to Model Fluid Flows Content-aware generative model for multi-item outfit recommendation An Adversarial Networks approach for solving Partial Differential Equations
Generative Models	Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model
Genetic Algorithm	Robust control of perishable inventory with uncertain lead time using neural networks and genetic algorithm
Genetic Algorithms	Local Search in Selected Crossover Operators Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data Detecting SQL Injection vulnerabilities using nature-inspired algorithms
Geo-Social Groups	DSCAN for Geo-Social Team Formation
Geo-Social Networks	DSCAN for Geo-Social Team Formation
geospatial information	Approach to Imputation Multivariate Missing Data of Urban Buildings by Chained Equations Based on Geospatial Information
GIS	Analysis of public transport (in)accessibility and land use pattern in different areas in Singapore
Glazier-Graner-Hogeweg model	Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles
global optimization	Global Design Optimization of Microwave Circuits Using Response Feature Inverse Surrogates
Global Sensitivity Analysis	Neural Network-Based Sequential Global Sensitivity Analysis Algorithm Sensitivity Analysis and Machine Learning to emulate the Level-Ice Melt Pond Parametrisation
Global surrogate modeling	Global Surrogate Modeling by Neural Network-Based Model Uncertainty
Goal-Oriented Adaptivity	1D Painless Multi-Level Automatic Goal-Oriented h and p Adaptive Strategies using a Pseudo-Dual Operator
Goal-oriented finite element method	Learning optimal test functions for goal-oriented FEM
GPS sensors	Streaming detection of significant delay changes in public transport systems
gpu	Ultrafast Focus Detection for Automated Microscopy
GPU acceleration	GPU accelerated modelling and forecasting for large time series
GPU Computing	Calculation of Cross-correlation Function Accelerated by Tensor Cores with TensorFloat-32 precision on Ampere GPU Batch QR Factorization on GPUs: Design, Optimization, and Tuning
GPU parallel algorithm	A GPU-based algorithm for environmental data filtering
Gradient Boosting Decision Trees	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning
gradient-based search	Expedited Optimization of Passive Microwave Devices Using Gradient Search and Principal Directions
Granular Computing	AI Classifications Applied to Neuropsychological Trials in Normal Individuals That Predict Progression to Cognitive Decline
Graph Convolutional Network	Sentence-level Sentiment Analysis Using GCN on Contextualized Word Representations
graph embedding	Time Series Attention Based Transformer Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence Retrofitting structural graph embeddings with node attribute information
graph embedding retrofitting	Retrofitting structural graph embeddings with node attribute information
Graph Learning	Stock Predictor with Graph Laplacian-based Multi-task Learning
Graph Neural Networks	Augmenting Graph Inductive Learning Model With Topographical Features Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning
Graph Partitioning	Partitioning Dense Graphs with Hardware Accelerators
green computing	GPU power capping for energy-performance trade-offs in training of Deep Convolutional Neural Networks for image recognition
Group Model Building	Tackling air pollution in cities with modelling and simulation: Remote Group Model Building as an Educational Tool Supporting System Dynamics Modelling
Group modeling	Divergence of an Observed User Profile and a Simulated Real State of User due to Social Communication
H
Hadamard matrix	A Hadamard matrix-based algorithm to evaluate the strength of binary sequences
Hadoop framework	Towards a Scalable Set Similarity Join using MapReduce and LSH
harmonization	Human-level Melodic Line Harmonization
Hashing Algorithm	Performance of Computing Hash-codes with Chaotically-trained Artificial Neural Networks
Hashing Efficiency	Performance of Computing Hash-codes with Chaotically-trained Artificial Neural Networks
hat function	MgNet with Hat Activation Function
Head-mounted display	Virtual Reality Prototype of a Linear Accelerator Simulator for Oncological Radiotherapy Training
Health Economic Evaluation	Modelling the Long-Term Impact of Covid-19
Health Network	National Network for Rare Diseases in Brazil: The Computational Infrastructure and Preliminary Results
healthcare	Effect of feature discretization on classification performance of explainable scoring-based machine learning model Explainable AI with Domain Adapted FastCAM for Endoscopy Images
heart attack prediction	Neural Additive Models for Explainable Heart Attack Prediction
heart attack risk	Neural Additive Models for Explainable Heart Attack Prediction
heart failure	Effect of feature discretization on classification performance of explainable scoring-based machine learning model
Heart Rate (HR) Detection	Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
Heavy tail Distribution	Statistical prediction of extreme events from small datasets
helicopter	Simulation of nearly missing helicopters through the computational fluid dynamics approach
Helmholtz equation	Numerical approximation of the one-way Helmholtz equation using the differential evolution method
HerBERT	Neuro-symbolic Models for Sentiment Analysis
heterogeneous computing	Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers
Heterogeneous Graph	MHGEE: Event Extraction via Multi-Granularity Heterogeneous Graph
Heterogeneous multiscale model	Automated variance-based sensitivity analysis of a heterogeneous atomistic-continuum system
heterogeneous treatment effects	Neuroevolutionary Feature Representations for Causal Inference
Heuristic Method	KP01 solved by an n-Dimensional Sampling and Clustering Heuristic.
Hidden service	Identification of MEEK-Based TOR Hidden Service Access Using the Key Packet Sequence
Hierarchical Relationship	HNOP: Attack Traffic Detection based on Hierarchical Node Hopping Features of Packets
hierarchically compressed matrix	Recursive Singular Value Decomposition compression of refined isogeometric analysis matrices as a tool to speedup iterative solvers performance
High Content Screening	Weakly-supervised cell classification for effective High Content Screening
High Performance Computing	GPU power capping for energy-performance trade-offs in training of Deep Convolutional Neural Networks for image recognition Unveiling User Behavior on Summit Login Nodes as a User
High-dimensional data	Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data
high-dimensional simulation	On the use of Sobol’ sequence for high dimensional simulation
high-dimensional uncertainty propagation	On the deep active subspace method
high-order	Adaptive Regularization of B-Spline Models for Scientific Data
High-Performance Computing	DNS of mass transfer in bi-dispersed bubble swarms The new UPC++ DepSpawn high performance library for data-flow computing with hybrid parallelism
Higher order approximation	Multipoint meshless FD schemes applied to nonlinear and multiscale analysis
home care patients readmission	Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
Homogenization	Multipoint meshless FD schemes applied to nonlinear and multiscale analysis
Hopping Features	HNOP: Attack Traffic Detection based on Hierarchical Node Hopping Features of Packets
HPC	Data Allocation based on Neural Similarity Estimation Software Architecture for Highly Scalable Urban Traffic Simulation A GPU-based algorithm for environmental data filtering
HPC cost	To Have and Have Not: Addressing inequities for learners accessing computational science environments
Huffman coding	A hypothetical agent-based model inspired by the abstraction of solitary behavior in tigers and its employment as a chain code for compression
Hybrid Classical-Quantum Algorithms	Quantum Variational Multi-Class Classifier for the Iris Data Set
hybrid parallelism	The new UPC++ DepSpawn high performance library for data-flow computing with hybrid parallelism
Hydrogen	Molecular Dynamics Study on Solubility, Diffusion and Permeation of Hydrogen in Amorphous Polyethylene
Hyper-parameter selection	Particle Swarm Optimization Configures the Route Minimization Algorithm
Hyperthermia	Tissue Damage Control Algorithm for Hyperthermia Based Cancer Treatments
I
ICU Bed Capacity Management	CHARM: A Discrete-Event Simulation for Dynamic ICU Bed Capacity Management for Covid-19
image analysis	Image Features Correlation with the Impression Curve for Automatic Evaluation of the Computer Game Level Design Classification of Soil Bacteria Based on Machine Learning and Image Processing
Image classification	How to sort them? A network for LEGO bricks classification
Image Enhancement	Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
Imbalance learning	Hierarchical Ensemble based Imbalance Classification
imbalanced data	Collective of base classifiers for mining imbalanced data Impact of clustering on a synthetic instance generation in imbalanced data streams classification
implicit function	Numerical Stability of Tangents and Adjoints of Implicit Functions
Impression Curve	Image Features Correlation with the Impression Curve for Automatic Evaluation of the Computer Game Level Design
Income sharing	Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-Agent Systems
incremental dynamic analysis	Incremental dynamic analysis and fragility assessment of buildings with different structural arrangements experiencing earthquake-induced structural pounding
Incremental learning	Dynamic classification of bank clients by the predictability of their transactional behavior
Infarct	Modeling contrast perfusion and adsorption phenomena in the human left ventricle
Infinite-dimensional Stochastic Differential Equation	Derivation and Computation of Integro-Riccati Equation for Ergodic Control of Infinite-dimensional SDE
Inflammatory Bowel Disease	Machine Learning Approaches in Inflammatory Bowel Diseases
influenza	A hybrid modeling framework for city-scale dynamics of multi-strain influenza epidemics
Information retrieval	Applying machine learning to predict behaviorof bus transport in Warsaw, Poland
Information theft	DITA-NCG: Detecting Information Theft Attack Based on Node Communication Graph
Information Visualization	A Highly Customizable Information Visualization Framework
instance mappings	Fuzzy logic framework for ontology instance alignment
Integro-Riccati equation	Derivation and Computation of Integro-Riccati Equation for Ergodic Control of Infinite-dimensional SDE
Interactive Map	Accessing the Spanish Digital Network of Museum Collections through an Interactive Web-based Map
Interdisciplinarity	Accessing the Spanish Digital Network of Museum Collections through an Interactive Web-based Map
Internet of Things	On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles Acquisition, storing, and processing system for interdisciplinary research in Earth sciences
Interpolation	Non-Generic Case of Leap-Frog for Optimal Knots Selection in Fitting Reduced Data
Intersection Matrix	A Sparse Matrix Approach for Covering Large Complex Networks by Cliques Intersection Representation of Big Data Networks and Triangle Enumeration
Interval arithmetic	Acceleration of interval PIES computations using interpolation of kernels with uncertainly defined boundary shape Interval modification of the fast PIES in solving 2D potential BVPs with uncertainly defined polygonal boundary shape
Interval numbers	Interval modification of the fast PIES in solving 2D potential BVPs with uncertainly defined polygonal boundary shape
intracellular material transport	Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis, Deep Learning and PDE-Constrained Optimization
Intrusion Detection	GBLNet: Detecting Intrusion Traffic with Multi-granularity BiLSTM
Invasiveness	Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles
Inventory Control	Robust control of perishable inventory with uncertain lead time using neural networks and genetic algorithm
inverse design	Optimization-free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts using Multi-Target Machine Learning
Inverse dynamic problem	Lightcurve inversion through LSTMs
inverse models	Global Design Optimization of Microwave Circuits Using Response Feature Inverse Surrogates
Inverse Problem	On a nonlinear approach to uncertainty quantification on the ensemble of numerical solutions
IoT	A Hadamard matrix-based algorithm to evaluate the strength of binary sequences
Ischemia	Modeling contrast perfusion and adsorption phenomena in the human left ventricle
Isogeometric Analysis	Isogeometric Analysis of Bound States of a Quantum Three-Body Problem in 1D Fast isogeometric analysis simulations of a process of air pollution removal by artificially generated shock waves Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis, Deep Learning and PDE-Constrained Optimization Deep Neural Networks and Smooth Approximation of PDEs
iterations	On a New Generalised Iteration Method in the PSO-based Newton-like Method
Iterative reconstruction algorithms	Continuous-to-continuous data model vs. discrete-to-discrete data model for the statistical iterative reconstruction method - optimization of the computational complexity
iterative solvers	Recursive Singular Value Decomposition compression of refined isogeometric analysis matrices as a tool to speedup iterative solvers performance
J
Jetson Xavier NX	Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading
Julia	FINCH: Domain Specific Language and Code Generation for Finite Element and Finite Volume in Julia
K
k-count	Intersection Representation of Big Data Networks and Triangle Enumeration
K-modes	Outlier detection for categorial data using clustering algorithms
Karhunen-Loève Expansion	Forward Uncertainty Quantification and Sensitivity Analysis of the Holzapfel-Ogden Model for the Left Ventricular Passive Mechanics
KEPLER	Neuro-symbolic Models for Sentiment Analysis
kidney cancer	Effect of feature discretization on classification performance of explainable scoring-based machine learning model
Knapsack	Machine Learning-based Scheduling and Resources Allocation in Distributed Computing
knowledge about project	Uncertainty occurrence in projects and its consequences for project management
knowledge base	Neuro-symbolic Models for Sentiment Analysis
Knowledge discovery	Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases Applying machine learning to predict behaviorof bus transport in Warsaw, Poland
Knowledge Discovery in Databases	MiDaS: extract golden results from Knowledge Discovery even over incomplete Databases
Knowledge Graph	Getting formal Ontologies closer to final users through Knowledge Graph Visualization: interpretation and misinterpretation
Knowledge Graphs	Augmenting Graph Inductive Learning Model With Topographical Features
knowledge management	Fuzzy logic framework for ontology instance alignment From Individual to Collective: Intelligence Amplification with Bio-Inspired Decisional DNA and its Extensions
Kubernetes	Auto-scaling of scientific workflows in Kubernetes
L
LABS	A deep neural network as a TABU support in solving LABS problem
LaBSE	MultiEmo: Language-agnostic Sentiment Analysis
Land use	Analysis of public transport (in)accessibility and land use pattern in different areas in Singapore
Landau-Zener	Benchmarking D-Wave Quantum Annealers: spectral gap scaling of maximum cardinality matching problems
language-agnostic representation	MultiEmo: Language-agnostic Sentiment Analysis
Large deviations	Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data
LASER	MultiEmo: Language-agnostic Sentiment Analysis
Latency	Consistency Fences for Partial Order Delivery to Reduce Latency
Lattice Boltzmann Method	Digging Deeper Into the State of the Practice for Domain Specific Research Software
learning from data streams	Impact of clustering on a synthetic instance generation in imbalanced data streams classification
learning representations	Neuroevolutionary Feature Representations for Causal Inference
Left ventricle	Blood Flow Simulation of Left Ventricle with Twisted Motion
level design	Image Features Correlation with the Impression Curve for Automatic Evaluation of the Computer Game Level Design
Level-set method	DNS of mass transfer in bi-dispersed bubble swarms
Lexical Substitution	Deep Neural Sequence to Sequence Lexical Substitution for Polish Language
Ligand binding pockets	Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets
Lightcurve inversion	Lightcurve inversion through LSTMs
Linear accelerator	Virtual Reality Prototype of a Linear Accelerator Simulator for Oncological Radiotherapy Training
linear algebra	Compiling Linear Algebra Expressions into Efficient Code A Note on Adjoint Linear Algebra
local Lyapunov exponents	Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents
local search	Local Search in Selected Crossover Operators
Local Sensitive Hashing (LSH)	Towards a Scalable Set Similarity Join using MapReduce and LSH
Local Triangle Count	Intersection Representation of Big Data Networks and Triangle Enumeration
logistic regression	Classification methods based on fitting logistic regression to positive and unlabeled data
Long Covid	Modelling the Long-Term Impact of Covid-19
Long Short-Term Memory	Data-driven reduced-order models for nonlinear vibrations: proof of concept and initial insights
Long timescale	Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets
long-short term memory	Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles
low-discrepancy sequences	On the use of Sobol’ sequence for high dimensional simulation
LSTM	A deep neural network as a TABU support in solving LABS problem Phase-field modelling of brittle fracture using time-series forecasting
LSTMs	Lightcurve inversion through LSTMs
Lysosomal storage disease	Data augmentation techniques to improve metabolomic analysis in Niemann-Pick type C disease
M
machine learning	Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach Quantum Variational Multi-Class Classifier for the Iris Data Set Performance of Explainable AI methods in asset failure prediction Machine Learning-based Scheduling and Resources Allocation in Distributed Computing Towards Social Machine Learning for Natural Disasters A study on the prediction of evapotranspiration using freely available meteorological data GPU power capping for energy-performance trade-offs in training of Deep Convolutional Neural Networks for image recognition Optimization-free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts using Multi-Target Machine Learning Learning I/O Variables from Scientific Software's User Manuals Classification of Soil Bacteria Based on Machine Learning and Image Processing Approach to Imputation Multivariate Missing Data of Urban Buildings by Chained Equations Based on Geospatial Information Consensus algorithm for bi-clustering analysis Characterising Metallic Nanoparticle Surfaces Using Unsupervised Machine Learning Prediction of Ether Prices Using DeepAR and Probabilistic Forecasting Machine Learning Approaches in Inflammatory Bowel Diseases Comparing explanations from glass-box and black-box machine-learning models A GPU-based algorithm for environmental data filtering Social Media and News Diffusion Effect on Macroeconomic Indicator Interdependencies Assimilating Sky Camera Cloud Information via Convolutional Neural Networks Using Complex Networks to Simplify a Marine Biogeochemical Model for ML Emulation Sensitivity Analysis and Machine Learning to emulate the Level-Ice Melt Pond Parametrisation Machine Learning based surrogate models for COVID-19 infection risk assessment. A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode A Unified Sense Inventory for Word Sense Disambiguation in Polish Applying machine learning to predict behaviorof bus transport in Warsaw, Poland Wide ensembles of neural networks in music genre classification Data-driven discovery of time fractional differential equations
Machine learning Explainability	On the Explanation of AI-based Student Success Prediction
macromolecular structural ensembles	Computational Challenges for Biomolecular Simulation Approaches to Drug Discovery
Magnetic field	A decoupled, linear, and unconditionally energy stable finite element method for a two-phase ferrohydrodynamics model
Mahalanobis distance	Out-of-distribution Detection in High-dimensional Data Using Mahalanobis Distance - Critical Analysis
Malicious Traffic Detection	HNOP: Attack Traffic Detection based on Hierarchical Node Hopping Features of Packets
Malware Detection	AMDetector: Detecting Large-scale and Novel Android Malware Traffic
manufacturing tolerances	Multi-Criterial Design of Antennas with Tolerance Analysis Using Response-Feature Predictors
MapReduce model	Towards a Scalable Set Similarity Join using MapReduce and LSH
marketing	Private and public opinions in a model based on the total dissonance function: A simulation study
Markov Chain Monte Carlo	Multilevel Delayed Acceptance MCMC: Cascading Distributions, Variance Reduction and Adaptive Error Models
Mass transfer	DNS of mass transfer in bi-dispersed bubble swarms
Materials and Molecules	Quantum Simulations of Materials and Molecules on Hybrid Quantum-Classical Architectures
Mathematical didactics	Supporting education in advanced mathematical analysis problems by symbolic computational techniques using computer algebra system
Mathematical modeling	Modeling Approach in Teaching Differential Equations
Mathematical Modelling	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning
mathematics of computing	Compiling Linear Algebra Expressions into Efficient Code
matrix-vector multiplication	Recursive Singular Value Decomposition compression of refined isogeometric analysis matrices as a tool to speedup iterative solvers performance Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer
MAX-SAT	A first attempt at cryptanalyzing a (toy) block cipher by means of QAOA
Maximum Matching	Benchmarking D-Wave Quantum Annealers: spectral gap scaling of maximum cardinality matching problems
Mechanistic modelling	Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles
Mechanosensors	Role of mechanotransduction in promoting intracellular and intercellular transmigration of cancer cells through endothelium in microvasculature
Mechanotransduction	Role of mechanotransduction in promoting intracellular and intercellular transmigration of cancer cells through endothelium in microvasculature
Medical Imaging	CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning
Medical simulator training	Virtual Reality Prototype of a Linear Accelerator Simulator for Oncological Radiotherapy Training
medieval Bohemia	Detecting Ottokar II’s 1248–1249 uprising and its instigators in co-witnessing networks
MEEK	Identification of MEEK-Based TOR Hidden Service Access Using the Key Packet Sequence
Memory Requirements	Reducing Memory Requirements of Quantum Optimal Control
mesh reconstruction	A review of 3D point clouds parameterization methods
Mesh refinement	A Deep-learning-based Mesh Refinement Framework for Solving PDEs
Meshless FDM	Multipoint meshless FD schemes applied to nonlinear and multiscale analysis
Meta-Classifier	Practical Aspects of Zero-Shot Learning
Meta-learning	Elastic Resource Allocation based on Dynamic Perception of Operator Influence Domain in Distributed Stream Processing AMDetector: Detecting Large-scale and Novel Android Malware Traffic
Metabolomics	Data augmentation techniques to improve metabolomic analysis in Niemann-Pick type C disease
Metadata Quality	Models and Metrics for Mining Meaningful Metadata
metagenomics	Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading
Metaheuristic	A Taxonomy Guided Method to Identify Metaheuristic Components
Metallic nanoparticle	Characterising Metallic Nanoparticle Surfaces Using Unsupervised Machine Learning
methodological framework	Framework for developing quantitative agent-based models based on qualitative expert knowledge: an organized crime use-case
MgNet	MgNet with Hat Activation Function
microvascular simulation	Establishing metrics to quantify underlying structure in vascular red blood cell distributions
Microwave design	Global Design Optimization of Microwave Circuits Using Response Feature Inverse Surrogates Expedited Optimization of Passive Microwave Devices Using Gradient Search and Principal Directions
Migration Simulation	Validation of migration models in the face of inconsistent data: a perspective from four conflicts
Missing data	MiDaS: extract golden results from Knowledge Discovery even over incomplete Databases
Mixed formulations	Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids
Mixed Precision	TROPHY: Trust Region Optimization Using a Precision Hierarchy
mobile video games	Mobile game evaluation method based on data mining of affective time-series
Model Optimization	GBLNet: Detecting Intrusion Traffic with Multi-granularity BiLSTM
model uncertainty	Global Surrogate Modeling by Neural Network-Based Model Uncertainty
Model validation	Validation and Optimisation of Player Motion Models in Football
Modeling	A Simulation Study of the Delayed Effect of Covid-19 Pandemic on Pensions and Welfare of the Elderly: Evidence from Poland
modelling	Modelling and Simulation to Inform Policy Responses to Global Threats: Lessons from COVID-19
Modelling and simulation	Classification of Soil Bacteria Based on Machine Learning and Image Processing
Modularity	Modularity promotes excitation-inhibition balance in synaptically coupled neuronal networks
molecular dynamics	Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets Large Scale Study of Absolute Ligand-Protein Binding Free Energy Predictions
Molecular dynamics simulation	Molecular Dynamics Study on Solubility, Diffusion and Permeation of Hydrogen in Amorphous Polyethylene
Monarch Butterfly Optimization	CLASSIFICATION OF UTERINE FIBROIDS IN ULTRASOUND IMAGES USING DEEP LEARNING MODEL
morpho-semantic relations	Classification and Generation of Derivational Morpho-semantic Relations for Polish Language
Morphodynamics	Efficient computational algorithm for stress analysis in hydro-sediment-morphodynamic models
Motion models	Validation and Optimisation of Player Motion Models in Football
Motion planning	Iterative solution for the narrow passage problem in motion planning
moving grids	Simulation of nearly missing helicopters through the computational fluid dynamics approach
Multi-agent simulation	Divergence of an Observed User Profile and a Simulated Real State of User due to Social Communication
Multi-agent systems	Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-Agent Systems
Multi-Controlled Toffoli Gate	Efficient constructions for simulating Multi Controlled Quantum Gates
multi-criterial optimization	Multi-Criterial Design of Antennas with Tolerance Analysis Using Response-Feature Predictors
Multi-Level	1D Painless Multi-Level Automatic Goal-Oriented h and p Adaptive Strategies using a Pseudo-Dual Operator
Multi-level fusion	Hierarchical Ensemble based Imbalance Classification
Multi-task Learning	Stock Predictor with Graph Laplacian-based Multi-task Learning
multiagent models	A hybrid modeling framework for city-scale dynamics of multi-strain influenza epidemics
multiclass classification	Machine-learning classification of short-term memory tasks in ROI-based fMRI data
MultiEmo	MultiEmo: Language-agnostic Sentiment Analysis
multigrid methods	Acceleration of Optimized Coarse-grid Operators by Spatial Redistribution for Multigrid Reduction in Time
Multilevel Methods	Multilevel Delayed Acceptance MCMC: Cascading Distributions, Variance Reduction and Adaptive Error Models
Multimodal Recommendations	Content-aware generative model for multi-item outfit recommendation
Multiobjective optimization	Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach
Multiple Dispatch Rules	Scheduling with Multiple Dispatch Rules : A quantum computing approach
multiple imputation	Approach to Imputation Multivariate Missing Data of Urban Buildings by Chained Equations Based on Geospatial Information
Multiple Instance Learning	Weakly-supervised cell classification for effective High Content Screening
multiple occurrences	Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
Multipoint method	Multipoint meshless FD schemes applied to nonlinear and multiscale analysis
multiresolution molecular simulation	Computational Challenges for Biomolecular Simulation Approaches to Drug Discovery
Multiscale modelling	Neutron scattering calculation for coarse grain models
Multivariate time series	Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data
Multiword Expressions	Is Context All You Need? Non-Contextual vs Contextual Multiword Expressions Detection
musculoskeletal model	Musculoskeletal model of human lower limbs in gait simulation
music generation	Human-level Melodic Line Harmonization
Music Genre Recognition	Wide ensembles of neural networks in music genre classification
Music information retrieval	Designing a training set for musical instruments identification Wide ensembles of neural networks in music genre classification
Musical instruments identification	Designing a training set for musical instruments identification
Myocardial perfusion	Modeling contrast perfusion and adsorption phenomena in the human left ventricle
N
n-qubit Toffoli gate	Studying the cost of n-qubit Toffoli gates
n-type diamond	n-type B-N co-doping and N Doping in diamond from first principles
NAM	Neural Additive Models for Explainable Heart Attack Prediction
nanopore sequencing	Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading
Narrow passage	Iterative solution for the narrow passage problem in motion planning
Narrowest-Over-Threshold method	Calibration window selection based on change-point detection for forecasting electricity prices
Natual Lanugage Processing	Deep Neural Sequence to Sequence Lexical Substitution for Polish Language
Natural Disasters	Towards Social Machine Learning for Natural Disasters
Natural Language Processing	Is Context All You Need? Non-Contextual vs Contextual Multiword Expressions Detection Machine Learning Approaches in Inflammatory Bowel Diseases Social Media and News Diffusion Effect on Macroeconomic Indicator Interdependencies
Nature Language Processing	Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language
Nature-inspired Algorithms	Detecting SQL Injection vulnerabilities using nature-inspired algorithms
NetLogo	A hypothetical agent-based model inspired by the abstraction of solitary behavior in tigers and its employment as a chain code for compression
Network Congestion	Numerical and Statistical Probability Distribution Transformation for Modeling Traffic in Optical Networks
Network flow	DITA-NCG: Detecting Information Theft Attack Based on Node Communication Graph
network lifetime	An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
Network mining	Dense Temporal Subgraphs in Protein-Protein Interaction Networks
Network Security	AMDetector: Detecting Large-scale and Novel Android Malware Traffic GBLNet: Detecting Intrusion Traffic with Multi-granularity BiLSTM
Network training	How to sort them? A network for LEGO bricks classification
network-on-chip	Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer
Networks	Networks clustering-based approach for search of reservoirs-analogues
neural language models	A Unified Sense Inventory for Word Sense Disambiguation in Polish
Neural Network	Machine Learning-based Scheduling and Resources Allocation in Distributed Computing Wide ensembles of neural networks in music genre classification
Neural network compression	Convolutional neural network compression via tensor-train decomposition on permuted weight tensor with automatic rank determination
Neural Network models	How to sort them? A network for LEGO bricks classification
neural networks	Neural Network-Based Sequential Global Sensitivity Analysis Algorithm Global Surrogate Modeling by Neural Network-Based Model Uncertainty Neural-Network based Adaptation of Variation Operators' Parameters for Metaheuristics Robust control of perishable inventory with uncertain lead time using neural networks and genetic algorithm An Adversarial Networks approach for solving Partial Differential Equations On the deep active subspace method Enforcing State Constraints in Dynamical Systems Modelled with Neural Networks Machine-learning classification of short-term memory tasks in ROI-based fMRI data Approximate Function Classification A deep neural network as a TABU support in solving LABS problem
neuro-symbolic	Neuro-symbolic Models for Sentiment Analysis
neuroevolution	Application of the hierarchic memetic strategy HMS in neuroevolution
neuroevolutionary algorithms	Neuroevolutionary Feature Representations for Causal Inference
neuron	Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis, Deep Learning and PDE-Constrained Optimization
Neuronal dynamics	Modularity promotes excitation-inhibition balance in synaptically coupled neuronal networks
Neutron scattering	Neutron scattering calculation for coarse grain models
New Benchmark Dataset	Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language
News Analytics	Social Media and News Diffusion Effect on Macroeconomic Indicator Interdependencies
Niemann-Pick type C	Data augmentation techniques to improve metabolomic analysis in Niemann-Pick type C disease
NISQ era	PDU: Experiment-driven phase distortion unraveling function for practical quantum error correction
Node communication graph	DITA-NCG: Detecting Information Theft Attack Based on Node Communication Graph
Non-linear estimation	Lightcurve inversion through LSTMs
Non-parametric and Parametric Probability Distribution	Numerical and Statistical Probability Distribution Transformation for Modeling Traffic in Optical Networks
Non-regular material data	Linear computational cost implicit variational splitting solver with non-regular material data for parabolic problems
Nonconforming time grids	Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids
nondestructive evaluation	Analysis of Agricultural and Engineering Processes using Simulation Decomposition
Nonlinear analysis	Multipoint meshless FD schemes applied to nonlinear and multiscale analysis
Nonlinear Dynamics	Data-driven reduced-order models for nonlinear vibrations: proof of concept and initial insights
nonmatching grids	A lowest-order staggered discontinuous Galerkin method for the Stokes-Darcy model
numerical model-ling	Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents
numerical simulation	Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
O
oblique shock	On a nonlinear approach to uncertainty quantification on the ensemble of numerical solutions
Ocean Modelling	Using Complex Networks to Simplify a Marine Biogeochemical Model for ML Emulation
Oil and gas reservoirs	Networks clustering-based approach for search of reservoirs-analogues
Oncological radiotherapy	Virtual Reality Prototype of a Linear Accelerator Simulator for Oncological Radiotherapy Training
One-class support vector machine	A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: an Application in Anomaly Detection
Online	Machine Learning-based Scheduling and Resources Allocation in Distributed Computing
Ontology	Getting formal Ontologies closer to final users through Knowledge Graph Visualization: interpretation and misinterpretation
ontology alignment	Fuzzy logic framework for ontology instance alignment
Ontology-Driven Software Generation	Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality
open-set classification	Out-of-distribution Detection in High-dimensional Data Using Mahalanobis Distance - Critical Analysis
OpenACC	Developing an ELM Ecosystem Dynamics Model on GPU with OpenACC
OpenFOAM	On a nonlinear approach to uncertainty quantification on the ensemble of numerical solutions
OpenSHMEM	A Productive and Scalable Actor-based Programming System for PGAS Applications
opinion dynamics	Private and public opinions in a model based on the total dissonance function: A simulation study
opinion mining	MultiEmo: Language-agnostic Sentiment Analysis
Optical Network Modeling and Optimization	Numerical and Statistical Probability Distribution Transformation for Modeling Traffic in Optical Networks
Optimal Computational Strategy	Investigating an optimal computational strategy to retrofit buildings with implementing viscous dampers
optimal interventions	Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case
optimal path planning	Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers
Optimal test functions	Learning optimal test functions for goal-oriented FEM Time-marching DPG scheme and adaptivity for transient partial differential equations
Optimization	Tissue Damage Control Algorithm for Hyperthermia Based Cancer Treatments Machine Learning-based Scheduling and Resources Allocation in Distributed Computing Numerical approximation of the one-way Helmholtz equation using the differential evolution method Non-Generic Case of Leap-Frog for Optimal Knots Selection in Fitting Reduced Data TROPHY: Trust Region Optimization Using a Precision Hierarchy Robust control of perishable inventory with uncertain lead time using neural networks and genetic algorithm
Optimization Problems	KP01 solved by an n-Dimensional Sampling and Clustering Heuristic.
Ordering	A Sparse Matrix Approach for Covering Large Complex Networks by Cliques
Ordinary Differential Equations	Enforcing State Constraints in Dynamical Systems Modelled with Neural Networks
organized point clouds	A review of 3D point clouds parameterization methods
out-of-distribution detection	Out-of-distribution Detection in High-dimensional Data Using Mahalanobis Distance - Critical Analysis
Outfit Recommendations	Content-aware generative model for multi-item outfit recommendation
outlier detection	Outlier detection for categorial data using clustering algorithms
over-sampling	Impact of clustering on a synthetic instance generation in imbalanced data streams classification
Oversampling	Collective of base classifiers for mining imbalanced data
overset methods	Simulation of nearly missing helicopters through the computational fluid dynamics approach
P
PageRank	Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer
Pandemic Crisis Management	CHARM: A Discrete-Event Simulation for Dynamic ICU Bed Capacity Management for Covid-19 Responding to Current and Future Pandemics using Agent-Based Simulation Modelling the Long-Term Impact of Covid-19
Parabolic Problems	Linear computational cost implicit variational splitting solver with non-regular material data for parabolic problems
Parallel Computing	Developing a Scalable Agent-Based Model of 3D Tumor Growth FINCH: Domain Specific Language and Code Generation for Finite Element and Finite Volume in Julia Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer
Parallel Modelling	GPU accelerated modelling and forecasting for large time series
parallel processing	Parallel fluid-structure interaction simulation
parallel-in-time approaches	Acceleration of Optimized Coarse-grid Operators by Spatial Redistribution for Multigrid Reduction in Time
parameter estimation	Analysis of parameters distribution of EEG signals for five epileptic seizure phases modeled by duffing Van der Pol oscillator Modeling Approach in Teaching Differential Equations
parameter variability	Analysis of Agricultural and Engineering Processes using Simulation Decomposition
Parameterization	A review of 3D point clouds parameterization methods
parametric integral equation system	Acceleration of interval PIES computations using interpolation of kernels with uncertainly defined boundary shape
parametric integral equation system (PIES)	Boundary geometry fitting with Bézier curves in PIES based on automatic differentiation
Parametric partial differential equations	Learning optimal test functions for goal-oriented FEM
Parametrisation	Sensitivity Analysis and Machine Learning to emulate the Level-Ice Melt Pond Parametrisation
Partial Differential Equations	An Adversarial Networks approach for solving Partial Differential Equations Deep Neural Networks and Smooth Approximation of PDEs Linear computational cost implicit variational splitting solver with non-regular material data for parabolic problems
Partial order delivery	Consistency Fences for Partial Order Delivery to Reduce Latency
Particle swarm optimization	Particle Swarm Optimization Configures the Route Minimization Algorithm
Pattern-based representation of time series	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting
patterns	Computational Science 101 - Towards a Computationally Informed Citizenry
PDE-constrained optimization	Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis, Deep Learning and PDE-Constrained Optimization
PDEs	Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations A Deep-learning-based Mesh Refinement Framework for Solving PDEs
PDPTW	Particle Swarm Optimization Configures the Route Minimization Algorithm
Pedestrian dynamics models	Analyzing the usefulness of public web camera video sequences for calibrating and validating pedestrian dynamics models
Performance analysis	Practical Aspects of Zero-Shot Learning Validation and Optimisation of Player Motion Models in Football
performance evaluation	Applying machine learning to predict behaviorof bus transport in Warsaw, Poland
performance levels	Incremental dynamic analysis and fragility assessment of buildings with different structural arrangements experiencing earthquake-induced structural pounding
Peridynamic	Peridynamic Damage Model Based on Absolute Bond Elongation
Perimeter Tracking	Characterizing Wildfire Perimeter Polygons from QUIC-Fire
Permeation	Molecular Dynamics Study on Solubility, Diffusion and Permeation of Hydrogen in Amorphous Polyethylene
PGAS	A Productive and Scalable Actor-based Programming System for PGAS Applications The new UPC++ DepSpawn high performance library for data-flow computing with hybrid parallelism
Phase change	Enhancing computational steel solidification by a nonlinear transient thermal model
Phase-field	A decoupled, linear, and unconditionally energy stable finite element method for a two-phase ferrohydrodynamics model Phase-field modelling of brittle fracture using time-series forecasting
Physical environment modelling	Forced displacement in Mali - Analysing the effect of the physical environment on refugee flight routes
Physics Guided Neural Networks	ChemTab: A Physics Guided Chemistry Modeling Framework
Physics informed neural networks	Adaptive Deep Learning Approximation for Allen-Cahn Equation Deep Neural Networks and Smooth Approximation of PDEs
physics-based	Big AI: Blending Artificial Intelligence and Physics-based Approaches to Build Virtual Humans
physics-based simulations	Analysis of Agricultural and Engineering Processes using Simulation Decomposition
Physics-informed neural networks	Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations Turbulent Mean Flow Reconstruction Using Physics-Informed Neural Networks
Pie charts	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
PIES	PIES with trimmed surfaces for solving elastoplastic boundary problems
platform as a service (PaaS)	Cloud as a Platform for W-Machine Didactic Computer Simulator
PLGA (poly lactic-co-glycolic acid)	Exploration of Modeling and Simulations for Drug Release from PLGA Particles
plWordNet	Neuro-symbolic Models for Sentiment Analysis
PNES	Resting-state EEG classification for PNES diagnosis
PolEmo 2.0	Neuro-symbolic Models for Sentiment Analysis
Polish language	A Unified Sense Inventory for Word Sense Disambiguation in Polish
Polynomial Chaos Expansion	Forward Uncertainty Quantification and Sensitivity Analysis of the Holzapfel-Ogden Model for the Left Ventricular Passive Mechanics
Population Generation	Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data
Porous media	Exploration of Modeling and Simulations for Drug Release from PLGA Particles
Positional data	Validation and Optimisation of Player Motion Models in Football
positive unlabeled learning	Classification methods based on fitting logistic regression to positive and unlabeled data
Post-thrombotic Syndrome	Sensitivity analysis of a model of lower limb haemodynamics
PPG	Wavelet Scattering Transform for PhotoPlethysmoGraphic (PPG) Signal Analysis
predict treatment outcome	Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case
Predictability	Dynamic classification of bank clients by the predictability of their transactional behavior
Prediction	Forecasting bank default with the Merton model: The case of US banks Enforcing State Constraints in Dynamical Systems Modelled with Neural Networks
predictive maintenance	Performance of Explainable AI methods in asset failure prediction Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles
preprocessing	imple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in E2: Analysis and Comparative Results
principal directions	Expedited Optimization of Passive Microwave Devices Using Gradient Search and Principal Directions
Privacy	Privacy paradox in social media: A system dynamics analysis
Privacy paradox	Privacy paradox in social media: A system dynamics analysis
Privacy Security	AMDetector: Detecting Large-scale and Novel Android Malware Traffic
private and public opinion	Private and public opinions in a model based on the total dissonance function: A simulation study
PRNG	A Hadamard matrix-based algorithm to evaluate the strength of binary sequences
probabilistic forecasting	Prediction of Ether Prices Using DeepAR and Probabilistic Forecasting
Probability of Default	Forecasting bank default with the Merton model: The case of US banks
Probing tasks	Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?
Productivity	Automating and Scaling Task-Level Parallelism of Tightly Coupled Models via Code Generation
programming	Snowflake Generation
project planning	Uncertainty occurrence in projects and its consequences for project management
project success	Uncertainty occurrence in projects and its consequences for project management
project uncertainty	Uncertainty occurrence in projects and its consequences for project management
Protein Protein Interaction Networks	Dense Temporal Subgraphs in Protein-Protein Interaction Networks
Protein-ligand binding	Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets
Pseudo-dual Operator	1D Painless Multi-Level Automatic Goal-Oriented h and p Adaptive Strategies using a Pseudo-Dual Operator
pseudo-Newton method	Pseudo-Newton Method with Fractional Order Derivatives
Pseudoinverse matrix	GPU accelerated modelling and forecasting for large time series
Public garden	A study on the prediction of evapotranspiration using freely available meteorological data
Public Health	Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases
Public Health Observatory	National Network for Rare Diseases in Brazil: The Computational Infrastructure and Preliminary Results
public transport	Streaming detection of significant delay changes in public transport systems Analysis of public transport (in)accessibility and land use pattern in different areas in Singapore
Pulmonary Hypertension	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning
Python	TEDA: A Computational Toolbox for Teaching Ensemble Based Data Assimilaton A hybrid modeling framework for city-scale dynamics of multi-strain influenza epidemics
Q
QAOA	A first attempt at cryptanalyzing a (toy) block cipher by means of QAOA Quantum approaches for WCET-related optimization problems
QR Factorization	Batch QR Factorization on GPUs: Design, Optimization, and Tuning
Quadratic unconstrained binary optimisation	Quantum-Classical Solution Methods for Binary Compressive Sensing Problems
qualitative data	Outlier detection for categorial data using clustering algorithms
Quality of service	Consistency Fences for Partial Order Delivery to Reduce Latency
quantum algorithm	Distributed Quantum Annealing on D-Wave for the single machine total weighted tardiness scheduling problem
quantum annealing	Scheduling with Multiple Dispatch Rules : A quantum computing approach Quantum approaches for WCET-related optimization problems Benchmarking D-Wave Quantum Annealers: spectral gap scaling of maximum cardinality matching problems Quantum-Classical Solution Methods for Binary Compressive Sensing Problems Practical solving of discrete logarithm problem over prime fields using quantum annealing Distributed Quantum Annealing on D-Wave for the single machine total weighted tardiness scheduling problem Quantum annealing and algebraic attack on Speck cipher Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning
Quantum Authentication	Challenges and Future Directions in the Implementation of User Authentication Protocols Utilizing Quantum Computing
Quantum Circuit	Efficient constructions for simulating Multi Controlled Quantum Gates
Quantum circuits	Studying the cost of n-qubit Toffoli gates
Quantum Computing	Quantum Variational Multi-Class Classifier for the Iris Data Set A first attempt at cryptanalyzing a (toy) block cipher by means of QAOA Quantum approaches for WCET-related optimization problems Challenges and Future Directions in the Implementation of User Authentication Protocols Utilizing Quantum Computing PDU: Experiment-driven phase distortion unraveling function for practical quantum error correction
quantum error correction	Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning PDU: Experiment-driven phase distortion unraveling function for practical quantum error correction
quantum information theory	PDU: Experiment-driven phase distortion unraveling function for practical quantum error correction
Quantum Optimal Control	Reducing Memory Requirements of Quantum Optimal Control
quantum sampling	PDU: Experiment-driven phase distortion unraveling function for practical quantum error correction
Quantum Simulation	Quantum Simulations of Materials and Molecules on Hybrid Quantum-Classical Architectures
Quantum-Classical Architectures	Quantum Simulations of Materials and Molecules on Hybrid Quantum-Classical Architectures
Quantum-Inspired	Partitioning Dense Graphs with Hardware Accelerators
quasi-Monte Carlo	On the use of Sobol’ sequence for high dimensional simulation
Quaternion-Based Model	Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality
QUBO	Quantum approaches for WCET-related optimization problems
QUBO Formulation	Scheduling with Multiple Dispatch Rules : A quantum computing approach
QUIC-Fire	Characterizing Wildfire Perimeter Polygons from QUIC-Fire
R
R-GCN	MHGEE: Event Extraction via Multi-Granularity Heterogeneous Graph
Random Forests	ARIMA Feature-Based Approach to Time Series Classifcation
Randomized neural networks	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting
Rapidly exploring random tree	Iterative solution for the narrow passage problem in motion planning
Rare Disease	National Network for Rare Diseases in Brazil: The Computational Infrastructure and Preliminary Results
Rate of Penetration model	Transfer Learning Approach to Prediction of Rate of Penetration in Drilling
rational approximation	Numerical approximation of the one-way Helmholtz equation using the differential evolution method
RCE	Automated and Manual Testing in the Development of the Research Software RCE
RDBMS Framework	MiDaS: extract golden results from Knowledge Discovery even over incomplete Databases
Real-time	Consistency Fences for Partial Order Delivery to Reduce Latency
Recommender System	Multi-Contextual Recommender using 3D Latent Factor Models and Online Tensor Decomposition Divergence of an Observed User Profile and a Simulated Real State of User due to Social Communication
Recommender Systems	Content-aware generative model for multi-item outfit recommendation
Recurrent Neural Networks	Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles Data-driven reduced-order models for nonlinear vibrations: proof of concept and initial insights
red blood cells	Establishing metrics to quantify underlying structure in vascular red blood cell distributions
Reduced fracture model	Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids
Reduced Order Modeling Combustion	ChemTab: A Physics Guided Chemistry Modeling Framework
Reduced order modelling	Reduced order surrogate modelling and Latent Assimilation for dynamical systems
refined isogeometric analysis	Recursive Singular Value Decomposition compression of refined isogeometric analysis matrices as a tool to speedup iterative solvers performance
Refugee simulation	Forced displacement in Mali - Analysing the effect of the physical environment on refugee flight routes
Refugees	Validation of migration models in the face of inconsistent data: a perspective from four conflicts
Regression	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning
regularization	Adaptive Regularization of B-Spline Models for Scientific Data
relation classification	Classification and Generation of Derivational Morpho-semantic Relations for Polish Language
Remote Photoplethysmography	Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
removing obscenities	Devulgarization of Polish Texts Using Pre-trained Language Models
Repast	Modelling the Long-Term Impact of Covid-19
Representation Learning	Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model
research software	Digging Deeper Into the State of the Practice for Domain Specific Research Software
Research Software Engineering	Automated and Manual Testing in the Development of the Research Software RCE
Reservoir Computing	Statistical prediction of extreme events from small datasets
Reservoirs analogues	Networks clustering-based approach for search of reservoirs-analogues
residential buildings	Approach to Imputation Multivariate Missing Data of Urban Buildings by Chained Equations Based on Geospatial Information
Residual minimization	Learning optimal test functions for goal-oriented FEM
Resource	Machine Learning-based Scheduling and Resources Allocation in Distributed Computing
Respiratory organ	Simulation of virus-laden droplets transmitted from lung to lung
response features	Global Design Optimization of Microwave Circuits Using Response Feature Inverse Surrogates Multi-Criterial Design of Antennas with Tolerance Analysis Using Response-Feature Predictors
Retirement	A Simulation Study of the Delayed Effect of Covid-19 Pandemic on Pensions and Welfare of the Elderly: Evidence from Poland
Retrofitting of Buildings	Investigating an optimal computational strategy to retrofit buildings with implementing viscous dampers
Riemann-Liouville derivative	Pseudo-Newton Method with Fractional Order Derivatives
RNN	Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
ROCK	Outlier detection for categorial data using clustering algorithms
root-finding	On a New Generalised Iteration Method in the PSO-based Newton-like Method
Rough Set	AI Classifications Applied to Neuropsychological Trials in Normal Individuals That Predict Progression to Cognitive Decline
Route minimization	Particle Swarm Optimization Configures the Route Minimization Algorithm
Rules	AI Classifications Applied to Neuropsychological Trials in Normal Individuals That Predict Progression to Cognitive Decline
runtimes	The new UPC++ DepSpawn high performance library for data-flow computing with hybrid parallelism
S
Sample-based algorithms	Iterative solution for the narrow passage problem in motion planning
SARS-CoV-2	Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets
Scalability	Automating and Scaling Task-Level Parallelism of Tightly Coupled Models via Code Generation
Scalable Cryptography Algorithm	Performance of Computing Hash-codes with Chaotically-trained Artificial Neural Networks
Scaling	The importance of Scaling for an Agent Based Model: an illustrative case study with COVID-19 in Zimbabwe
Scatter plots	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Scene Analysis	Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model
Scene Classification	Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines
scheduling	Machine Learning-based Scheduling and Resources Allocation in Distributed Computing Distributed Quantum Annealing on D-Wave for the single machine total weighted tardiness scheduling problem
scientific software	Learning I/O Variables from Scientific Software's User Manuals
Scientific Software Ecosystem	A Survey on Sustainable Software Ecosystems to Support Experimental and Observational Science at Oak Ridge National Laboratory
Scientific workflow	Automating and Scaling Task-Level Parallelism of Tightly Coupled Models via Code Generation
scientific workflow management	Auto-scaling of scientific workflows in Kubernetes
scientific workflows	Auto-scaling of scientific workflows in Kubernetes
scoring systems	Effect of feature discretization on classification performance of explainable scoring-based machine learning model
Sea Ice	Sensitivity Analysis and Machine Learning to emulate the Level-Ice Melt Pond Parametrisation
Search and Optimization	Characterizing Wildfire Perimeter Polygons from QUIC-Fire
Security Games	Coevolutionary Approach to Sequential Stackelberg Security Games
Sediment transport	Efficient computational algorithm for stress analysis in hydro-sediment-morphodynamic models
Selectors	A Productive and Scalable Actor-based Programming System for PGAS Applications
Self-evolving Network	A Framework for Network Self-evolving based on Distributed Swarm Intelligence
self-propulsion	Numerical simulation of an infinite array of airfoils with a finite span
Self-supervised learning	Weakly-supervised cell classification for effective High Content Screening
Self-supervision	Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?
semantic networks	A Unified Sense Inventory for Word Sense Disambiguation in Polish
Semi-linear problems	Time-marching DPG scheme and adaptivity for transient partial differential equations
Sensitivity analysis	Sensitivity analysis of a model of lower limb haemodynamics Forward Uncertainty Quantification and Sensitivity Analysis of the Holzapfel-Ogden Model for the Left Ventricular Passive Mechanics Automated variance-based sensitivity analysis of a heterogeneous atomistic-continuum system
sensor networks	An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework
Sentence-level sentiment analysis	Sentence-level Sentiment Analysis Using GCN on Contextualized Word Representations
sentiment analysis	Neuro-symbolic Models for Sentiment Analysis Towards Social Machine Learning for Natural Disasters MultiEmo: Language-agnostic Sentiment Analysis
Sequence To Sequence	Deep Neural Sequence to Sequence Lexical Substitution for Polish Language
serial episode	Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
serverless computing	Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading Cloud as a Platform for W-Machine Didactic Computer Simulator
session-based recommendation	Your Social Circle Affects Your Interests: Social Influence Enhanced Session-Based Recommendation
Set Recommendations	Content-aware generative model for multi-item outfit recommendation
Shallow water flows	Efficient computational algorithm for stress analysis in hydro-sediment-morphodynamic models
Shape and image texture extraction	Classification of Soil Bacteria Based on Machine Learning and Image Processing
Short-term load forecasting	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting
short-term memory	Machine-learning classification of short-term memory tasks in ROI-based fMRI data
Side Information	Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language
similarity estimation	Data Allocation based on Neural Similarity Estimation
Similarity join operations	Towards a Scalable Set Similarity Join using MapReduce and LSH
Similarity Queries	MiDaS: extract golden results from Knowledge Discovery even over incomplete Databases
Simulation	A Simulation Study of the Delayed Effect of Covid-19 Pandemic on Pensions and Welfare of the Elderly: Evidence from Poland Robust control of perishable inventory with uncertain lead time using neural networks and genetic algorithm An agent-based forced displacement simulation: A case study of the Tigray crisis Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach The importance of Scaling for an Agent Based Model: an illustrative case study with COVID-19 in Zimbabwe Modelling and Simulation to Inform Policy Responses to Global Threats: Lessons from COVID-19
Simulation decomposition	Analysis of Agricultural and Engineering Processes using Simulation Decomposition
Simulation scalability	Software Architecture for Highly Scalable Urban Traffic Simulation
simulation-based design	Multi-Criterial Design of Antennas with Tolerance Analysis Using Response-Feature Predictors
simulation-based optimisation	Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers
simulation-driven optimization	Expedited Optimization of Passive Microwave Devices Using Gradient Search and Principal Directions
Simulations	Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data Towards Automated Application-Agnostic Verification for Simulations
Singapore	Analysis of public transport (in)accessibility and land use pattern in different areas in Singapore
sky camera	Assimilating Sky Camera Cloud Information via Convolutional Neural Networks
smallest enclosing ball	imple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in E2: Analysis and Comparative Results
Smallest enclosing circle	imple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in E2: Analysis and Comparative Results
Smart irrigation	A study on the prediction of evapotranspiration using freely available meteorological data
smart production	Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles
Sobol’ indices	Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
social influence	Your Social Circle Affects Your Interests: Social Influence Enhanced Session-Based Recommendation
Social media	Privacy paradox in social media: A system dynamics analysis
Social Media Sentiment Analysis	Social Media and News Diffusion Effect on Macroeconomic Indicator Interdependencies
social network analysis	Detecting Ottokar II’s 1248–1249 uprising and its instigators in co-witnessing networks
Social networks	Temporal-Attribute Inference in Social Networks using Dynamic Bayesian Networks
social recommendation	Your Social Circle Affects Your Interests: Social Influence Enhanced Session-Based Recommendation
software artifacts	Digging Deeper Into the State of the Practice for Domain Specific Research Software
software documentation	Learning I/O Variables from Scientific Software's User Manuals
Software framework	Relativitization: a social simulation framework in 4D relativistic spacetime
software quality	Digging Deeper Into the State of the Practice for Domain Specific Research Software
Software Testing	Automated and Manual Testing in the Development of the Research Software RCE
Soil bacteria	Classification of Soil Bacteria Based on Machine Learning and Image Processing
solitary behavior	A hypothetical agent-based model inspired by the abstraction of solitary behavior in tigers and its employment as a chain code for compression
Solubility and diffusion	Molecular Dynamics Study on Solubility, Diffusion and Permeation of Hydrogen in Amorphous Polyethylene
Sparse Graph	A Sparse Matrix Approach for Covering Large Complex Networks by Cliques Intersection Representation of Big Data Networks and Triangle Enumeration
sparse matrix	Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer
Sparse optimization	Data-driven discovery of time fractional differential equations
sparse sensitivity updates	Expedited Optimization of Passive Microwave Devices Using Gradient Search and Principal Directions
Spatial pattern	Analysis of public transport (in)accessibility and land use pattern in different areas in Singapore
Spatial Prisoner’s Dilemma game	Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-Agent Systems
spatial redistribution	Acceleration of Optimized Coarse-grid Operators by Spatial Redistribution for Multigrid Reduction in Time
Spatial-temporal predictions	Generative Networks Applied to Model Fluid Flows
Special relativity	Relativitization: a social simulation framework in 4D relativistic spacetime
Speck	Quantum annealing and algebraic attack on Speck cipher
Spectral clustering	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
Spiking neurons	Modularity promotes excitation-inhibition balance in synaptically coupled neuronal networks
Spline interpolation	Classification of Soil Bacteria Based on Machine Learning and Image Processing
Sports Action Dataset	Action Recognition in Australian Rules Football through Deep Learning
SQL Injection	Detecting SQL Injection vulnerabilities using nature-inspired algorithms
Stance detection	SEGP: Stance-Emotion joint Data Augmentation with Gradual Prompt-tuning for Stance detection
State Constraints	Enforcing State Constraints in Dynamical Systems Modelled with Neural Networks
State-Space Parameterization	ChemTab: A Physics Guided Chemistry Modeling Framework
Statistical Analysis	Numerical and Statistical Probability Distribution Transformation for Modeling Traffic in Optical Networks Multi-Criterial Design of Antennas with Tolerance Analysis Using Response-Feature Predictors
Statistical methods	Continuous-to-continuous data model vs. discrete-to-discrete data model for the statistical iterative reconstruction method - optimization of the computational complexity
Steel solidification	Enhancing computational steel solidification by a nonlinear transient thermal model
STEM	Snowflake Generation
Stochastic Control in Infi-nite-Dimension	Derivation and Computation of Integro-Riccati Equation for Ergodic Control of Infinite-dimensional SDE
Stochastic Gradient Descent	Deep Neural Networks and Smooth Approximation of PDEs
Stock Prediction	Stock Predictor with Graph Laplacian-based Multi-task Learning
stream processing	Streaming detection of significant delay changes in public transport systems
Stress analysis	Efficient computational algorithm for stress analysis in hydro-sediment-morphodynamic models
Structural health monitoring	A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: an Application in Anomaly Detection
Structural Pounding	Investigating an optimal computational strategy to retrofit buildings with implementing viscous dampers Incremental dynamic analysis and fragility assessment of buildings with different structural arrangements experiencing earthquake-induced structural pounding
Structural Vibrations	Data-driven reduced-order models for nonlinear vibrations: proof of concept and initial insights
Student success prediction	On the Explanation of AI-based Student Success Prediction
Subgraph	Augmenting Graph Inductive Learning Model With Topographical Features
super-resolution	Turbulent Mean Flow Reconstruction Using Physics-Informed Neural Networks
Supervised machine learning	Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents
Support Vector Machines	ARIMA Feature-Based Approach to Time Series Classifcation
Surfaces	Characterising Metallic Nanoparticle Surfaces Using Unsupervised Machine Learning
Surfactants and polymers	Neutron scattering calculation for coarse grain models
surrogate model	Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers
surrogate modeling	Neural Network-Based Sequential Global Sensitivity Analysis Algorithm Global Design Optimization of Microwave Circuits Using Response Feature Inverse Surrogates
surrogate-assisted design	Global Design Optimization of Microwave Circuits Using Response Feature Inverse Surrogates
Survey	A Survey on Sustainable Software Ecosystems to Support Experimental and Observational Science at Oak Ridge National Laboratory
Swarm Intelligence	A Framework for Network Self-evolving based on Distributed Swarm Intelligence
Swarm Optimization algorithms	Detecting SQL Injection vulnerabilities using nature-inspired algorithms
Symbolic calculations	Supporting education in advanced mathematical analysis problems by symbolic computational techniques using computer algebra system
Synthetic population	The importance of Scaling for an Agent Based Model: an illustrative case study with COVID-19 in Zimbabwe
System dynamics	Privacy paradox in social media: A system dynamics analysis
System Dynamics Modelling	Tackling air pollution in cities with modelling and simulation: Remote Group Model Building as an Educational Tool Supporting System Dynamics Modelling
T
Tabu search	A deep neural network as a TABU support in solving LABS problem
Task-based parallelism	Automating and Scaling Task-Level Parallelism of Tightly Coupled Models via Code Generation The new UPC++ DepSpawn high performance library for data-flow computing with hybrid parallelism
Taxonomy	A Taxonomy Guided Method to Identify Metaheuristic Components
Taylor-Green vortex	Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
Tcl programming	Investigating an optimal computational strategy to retrofit buildings with implementing viscous dampers
TCP	Consistency Fences for Partial Order Delivery to Reduce Latency
teaching	Extensible, cloud-based open environment for remote classes reuse Snowflake Generation Cloud as a Platform for W-Machine Didactic Computer Simulator
Temporal Graphs	Dense Temporal Subgraphs in Protein-Protein Interaction Networks
Temporal models	Temporal-Attribute Inference in Social Networks using Dynamic Bayesian Networks
temporal networks	Detecting Ottokar II’s 1248–1249 uprising and its instigators in co-witnessing networks
Tensor Core	Calculation of Cross-correlation Function Accelerated by Tensor Cores with TensorFloat-32 precision on Ampere GPU
Tensor decomposition	Multi-Contextual Recommender using 3D Latent Factor Models and Online Tensor Decomposition Convolutional neural network compression via tensor-train decomposition on permuted weight tensor with automatic rank determination
Tensor train decomposition	Convolutional neural network compression via tensor-train decomposition on permuted weight tensor with automatic rank determination
termination criteria	Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
Text recognition	ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects
text style transfer	Devulgarization of Polish Texts Using Pre-trained Language Models
the Beavers–Joseph–Saffman condition	A lowest-order staggered discontinuous Galerkin method for the Stokes-Darcy model
the coupled Stokes-Darcy problem	A lowest-order staggered discontinuous Galerkin method for the Stokes-Darcy model
Thermal inversions	Fast isogeometric analysis simulations of a process of air pollution removal by artificially generated shock waves
Thermal radiation	Enhancing computational steel solidification by a nonlinear transient thermal model
thermodynamic integration with enhanced sampling (TIES)	Large Scale Study of Absolute Ligand-Protein Binding Free Energy Predictions
Threat Intelligence	Time Series Attention Based Transformer Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence
Three-body problem	Isogeometric Analysis of Bound States of a Quantum Three-Body Problem in 1D
thresholded Lasso	Classification methods based on fitting logistic regression to positive and unlabeled data
tigers	A hypothetical agent-based model inspired by the abstraction of solitary behavior in tigers and its employment as a chain code for compression
Tightly coupled model	Automating and Scaling Task-Level Parallelism of Tightly Coupled Models via Code Generation
time series	ARIMA Feature-Based Approach to Time Series Classifcation
Time Series Attention	Time Series Attention Based Transformer Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence
Time series database	Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data
Time-dependent Steklov-Poincaré operator	Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids
Time-series	Phase-field modelling of brittle fracture using time-series forecasting
TimescaleDB	On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles
Toffoli gate	Studying the cost of n-qubit Toffoli gates
Tor	Identification of MEEK-Based TOR Hidden Service Access Using the Key Packet Sequence
Traffic analysis	Identification of MEEK-Based TOR Hidden Service Access Using the Key Packet Sequence
Traffic Demands	Numerical and Statistical Probability Distribution Transformation for Modeling Traffic in Optical Networks
traffic jam and swirl	Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis, Deep Learning and PDE-Constrained Optimization
Traffic prediction	Applying machine learning to predict behaviorof bus transport in Warsaw, Poland
Training data	Designing a training set for musical instruments identification
trajectory optimisation	Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers
Transactional data	Dynamic classification of bank clients by the predictability of their transactional behavior
Transfer Learning	Transfer Learning Approach to Prediction of Rate of Penetration in Drilling Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines
transformer	Devulgarization of Polish Texts Using Pre-trained Language Models
transformers	Neuro-symbolic Models for Sentiment Analysis Content-aware generative model for multi-item outfit recommendation
trimmed surfaces	PIES with trimmed surfaces for solving elastoplastic boundary problems
Trust Region Methods	TROPHY: Trust Region Optimization Using a Precision Hierarchy
Tuberculosis	Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases
Tumor Growth	Developing a Scalable Agent-Based Model of 3D Tumor Growth
Tweeting Factory	Development of an Event-Driven System Architecture for Smart Manufacturing
Twisted motion	Blood Flow Simulation of Left Ventricle with Twisted Motion
Two scale model	Effective non-linear flow models in fractured porous medium
Two-dimensional turbulence	Generative Networks Applied to Model Fluid Flows
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Ultraweak formulation	Time-marching DPG scheme and adaptivity for transient partial differential equations
Uncertain Lead time	Robust control of perishable inventory with uncertain lead time using neural networks and genetic algorithm
uncertainty	Getting formal Ontologies closer to final users through Knowledge Graph Visualization: interpretation and misinterpretation Acceleration of interval PIES computations using interpolation of kernels with uncertainly defined boundary shape
Uncertainty Mitigation	Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality
Uncertainty Quantification	On a nonlinear approach to uncertainty quantification on the ensemble of numerical solutions Forward Uncertainty Quantification and Sensitivity Analysis of the Holzapfel-Ogden Model for the Left Ventricular Passive Mechanics Characterization of Foam‑Assisted Water-Gas Flow via Inverse Uncertainty Quantification Techniques Multilevel Delayed Acceptance MCMC: Cascading Distributions, Variance Reduction and Adaptive Error Models Long timescale ensemble simulation in molecular dynamics: Application to ligand-protein interactions in three SARS-CoV-2 targets
Unconditional energy stability	A decoupled, linear, and unconditionally energy stable finite element method for a two-phase ferrohydrodynamics model
unorganized point clouds	A review of 3D point clouds parameterization methods
unpredictability	A Hadamard matrix-based algorithm to evaluate the strength of binary sequences
Unrefinements	1D Painless Multi-Level Automatic Goal-Oriented h and p Adaptive Strategies using a Pseudo-Dual Operator
Unstructured flux-limiters	DNS of mass transfer in bi-dispersed bubble swarms
Unstructured meshes	DNS of mass transfer in bi-dispersed bubble swarms
urban data	Approach to Imputation Multivariate Missing Data of Urban Buildings by Chained Equations Based on Geospatial Information
Urban traffic simulation	Software Architecture for Highly Scalable Urban Traffic Simulation
User Behavior	Unveiling User Behavior on Summit Login Nodes as a User
User Interface	Virtual Reality Prototype of a Linear Accelerator Simulator for Oncological Radiotherapy Training
user manual	Learning I/O Variables from Scientific Software's User Manuals
User Studies	Challenges and Future Directions in the Implementation of User Authentication Protocols Utilizing Quantum Computing
User study	On the Explanation of AI-based Student Success Prediction
Uterus images	CLASSIFICATION OF UTERINE FIBROIDS IN ULTRASOUND IMAGES USING DEEP LEARNING MODEL
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Validation	Validation of migration models in the face of inconsistent data: a perspective from four conflicts
validation methods	Framework for developing quantitative agent-based models based on qualitative expert knowledge: an organized crime use-case
Van der Pol oscillator	Analysis of parameters distribution of EEG signals for five epileptic seizure phases modeled by duffing Van der Pol oscillator
Variational Quantum Classifier	Quantum Variational Multi-Class Classifier for the Iris Data Set
Variational Splitting	Fast isogeometric analysis simulations of a process of air pollution removal by artificially generated shock waves Linear computational cost implicit variational splitting solver with non-regular material data for parabolic problems
VASP	n-type B-N co-doping and N Doping in diamond from first principles
vectorization	Compiling Linear Algebra Expressions into Efficient Code
Vehicle routing problem	Particle Swarm Optimization Configures the Route Minimization Algorithm
Venous model	Sensitivity analysis of a model of lower limb haemodynamics
ventilator splitting	Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 Pandemic
Verification	Towards Automated Application-Agnostic Verification for Simulations
virtual environments	Extensible, cloud-based open environment for remote classes reuse
virtual humans	Big AI: Blending Artificial Intelligence and Physics-based Approaches to Build Virtual Humans
Virtual Reality	Virtual Reality Prototype of a Linear Accelerator Simulator for Oncological Radiotherapy Training Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality Image Features Correlation with the Impression Curve for Automatic Evaluation of the Computer Game Level Design
Visual Analytics	A Highly Customizable Information Visualization Framework
visualisation	On a New Generalised Iteration Method in the PSO-based Newton-like Method
Visualization Personalization	A Highly Customizable Information Visualization Framework
Voting rules	Enhancing Decision Combination in Classifier Committee via Positional Voting
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wave propagation	Numerical approximation of the one-way Helmholtz equation using the differential evolution method
Wavelet Scattering Transform	Wavelet Scattering Transform for PhotoPlethysmoGraphic (PPG) Signal Analysis
wavelet-based adaptive simulations	The Computational Planet – with Computational Insects: Wavelet-Based Adaptive Simulations of Flapping Flight
WCETs	Quantum approaches for WCET-related optimization problems
Weakly-supervised learning	Weakly-supervised cell classification for effective High Content Screening
wide area file transfers	Data Allocation based on Neural Similarity Estimation
Wide Ensemble	Wide ensembles of neural networks in music genre classification
Wildland Fire	Characterizing Wildfire Perimeter Polygons from QUIC-Fire
word formation	Classification and Generation of Derivational Morpho-semantic Relations for Polish Language
word sense disambiguation	A Unified Sense Inventory for Word Sense Disambiguation in Polish
Workload Characterization	Unveiling User Behavior on Summit Login Nodes as a User
X
xai	Neural Additive Models for Explainable Heart Attack Prediction PRISM: Principal Image Sections Mapping
Z
Zero-Shot Learning	Practical Aspects of Zero-Shot Learning
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‎Viscous Damper	Investigating an optimal computational strategy to retrofit buildings with implementing viscous dampers