ICCS 2023: 23RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

A
A. T. Figueiredo, Mário	Automatic Delta-Adjustment Method applied to Missing Not At Random Imputation
Aardal, Karen	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
Abueidda, Diab	Deep Learning Operator Network for Geometric Nonlinear Deformation with PyFEM
Adamczyk, Jakub	Strengthening structural baselines for graph classification using Local Topological Profile
Afrin, Farzana	Exploring Counterfactual Explanations for Predicting Student Success
Ahn, Kwangwon	Global network of biofuel feedstock commodity futures
Akeweje, Emmanuel	Real-time reconstruction of complex flow in nanoporous media: linear vs non-linear decoding
Alba, Emilio	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
Alekseev, Aleksey	On the Resolution of Approximation Errors on an Ensemble of Numerical Solutions
Alfred, Rayner	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
Alibasa, Muhammad Johan	Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment
Aliev, Artem	Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets
Altintas, Ilkay	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires Wildfire Perimeter Detection via Iterative Trimming Method
Alvarez, Francisca	A Deep r- Adaptive First Order Least Squares method for solving elliptic PDEs
Alvarez-Aramberri, Julen	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion Deep Learning Inversion of Geophysical Data Generated with Parametric PDEs
Alvarez-Estevez, Diego	Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
Alves, Domingos	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Ameijeiras-Rodriguez, Carolina	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
Anaissi, Ali	B2-FedGAN: Balanced Bi-directional FefAvg based GAN
Anastasi, Sage	The process of polarisation as a loss of dimensionality.
Andrzejewski, Jacek	Machine learning detects anomalies in OPS-SAT telemetry
Araújo, Helder	FAIR-FATE: Fair Federated Learning with Momentum
Arcucci, Rossella	An efficient ViT-based spatial interpolation learner for field reconstruction Human-Sensors & Physics awared Machine Learning for Wildfire Detection and Nowcasting
Aref, Samin	Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Aribowo, Agus Sasmito	Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Arzoglou, Ektor	Alternative platforms and privacy paradox: A system dynamics analysis
Asao, Shinichi	Numerical simulation of the octorotor flying car in sudden rotor stop Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model
Asgarkhani, Neda	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
Asmaro, Anne	Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment
Assis, Laura S.	An Approach for Probabilistic Modeling and Reasoning of Political Networks An Analysis of Political Parties Cohesion based on Congressional Speeches
Asteriou, Konstantinos	Simulating initial steps of platelet aggregate formation in a cellular blood flow environment
Avilkin, Vsevolod	Real-time reconstruction of complex flow in nanoporous media: linear vs non-linear decoding
B
Babiak, Jolanta	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
Bader, David	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
Badia, Alba	Downscaling WRF-Chem: Analyzing urban air quality in Barcelona city
Baffier, Jean-François	Learning QUBO Models for Quantum Annealing: A Constraint-based Approach
Baglamis, Selami	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics
Bajcar, Beata	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
Balcázar Arciniega, Néstor Vinicio	DNS of thermocapillary migration of a bi-dispersed suspension of droplets Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer
Baldo, Federico	An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
Balicki, Jerzy	Multi-objective Quantum-inspired Genetic Algorithm for Supervised Learning of Deep Classification Models
Bammens, Sam	Machine learning detects anomalies in OPS-SAT telemetry
Banziger, Rolf B.	Discovering Process Models from Patient Notes
Bao, Huaifeng	Payload Level Graph Attention Network for Web Attack Traffic Detection
Baran, Joanna	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis
Barbrook-Johnson, Pete	The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
Baron, Grzegorz	Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
Barros, Ana Isabel	Longitudinal Analysis of the Topology of Criminal Networks using a Simple Cost-Benefit Agent-Based Model
Bastidas, Manuela	Deep Fourier Residual method for PDEs with H1 and H(curl) test function spaces
Basukoski, Artie	Discovering Process Models from Patient Notes
Baur, Matthias	Battery voltage response prediction with physics-informed machine learning
Bazan, Marek	Detection of objects dangerous for the operation of mining machines
Bazyleva, Valentina	Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold
Bałazy, Klaudia	r-softmax: Generalized Softmax with Controllable Sparsity Rate
Beauchamp, Maxime	Learning Neural Optimal Interpolation Models and Solvers
Behnoudfar, Pouria	Adaptive physics-informed Spectral Learning to simulate discrete Hodge–Helmholtz decomposition
Belhadj, Kamel	Comparative study of meta-heuristic algorithms for damage detection problem
Belyi, Alexander	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers
Bempedelis, Nikolaos	Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model
Ben Abdallah Ben Lamine, Sana	Knowledge hypergraph-based multidimensional analysis for natural language queries: application to medical data
Ben Guedria, Najeh	Comparative study of meta-heuristic algorithms for damage detection problem
Benecki, Paweł	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Berendt-Marchel, Monika	How to select superior Neural Network simulating inner city contaminant transport? Verification and validation techniques.
Bernardi, Filipe Andrade	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Bertino, Laurent	A kernel extension of the Ensemble Transform Kalman Filter
Besozzi, Valerio	Experimental Study of a Parallel Iterative Solver for Markov Chain Modeling
Bielak, Piotr	Graph-level representations using ensemble-based readout functions RAFEN - Regularized Alignment Framework for Embeddings of Nodes
Bienias, Karolina	Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
Binkowski, Jakub	Graph-level representations using ensemble-based readout functions RAFEN - Regularized Alignment Framework for Embeddings of Nodes
Blacher, Mark	Compiling Tensor Expressions into Einsum
Blanco, Rosmary	Resting State Brain Connectivity analysis from EEG and FNIRS signals
Bobek, Szymon	Towards Online Anomaly Detection in Steel Manufacturing Process ML-based proactive control of industrial processes Feature importances as a tool for root cause analysis in time-series events
Bogdanowicz, Stanisław	TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter
Bolanowski, Marek	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
Boltuc, Agnieszka	PIES in multi-region elastic problems including body forces
Bondarev, Alexander	On the Resolution of Approximation Errors on an Ensemble of Numerical Solutions
Bontekoe, Tariq	Translating Constraints into QUBOs for the Quadratic Knapsack Problem
Boné, Romuald	SocHAP: a new data driven explainable prediction of battery state of charge
Boratto, Murilo	Improving the Performance of Task-based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures
Borkowski, Krzysztof	Model of perspective distortions for a vision measuring system of large-diameter bent pipes
Boterman, Willem	Modeling mechanisms of school segregation and policy interventions: a complexity perspective
Boubeta-Puig, Juan	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Bouffanais, Roland	Leveraging Social Contagion to Foster Consensus in Collective Decision-Making
Bouhamoum, Redouane	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
Bouraoui, Chokri	Comparative study of meta-heuristic algorithms for damage detection problem
Bozejko, Wojciech	Determination of lower bounds of the goal function for a single machine scheduling problem on D-Wave quantum annealer
Brajard, Julien	Learning 4DVAR inversion directly from observations
Bratek, Łukasz	Actor-based Scalable Simulation of N-body Problem\
Brazalez, Enrique	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Bretsko, Daniel	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers
Britov, Andrey	Numerical simulation of propeller hydrodynamics using the open source software
Brooks, Helen	Towards In-silico Design of Fusion Power-plant Systems
Brzozowski, Łukasz	Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
Bródka, Piotr	The role of conformity in opinion dynamics modelling with multiple social circles
Bubak, Marian	Digital twin simulation development and execution on HPC infrastructures
Budniak, Artur	Graph TopoFilter: a method for noisy labels detection for graph-structured classes
Bumbuc, Roland	Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set
But, Ivan	Numerical simulation of supersonic jet noise using open source software
Byrski, Aleksander	Actor-based Scalable Simulation of N-body Problem\
Bzowski, Krzysztof	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Béréziat, Dominque	Learning 4DVAR inversion directly from observations
Bügel, Patrick	Scale-bridging workflows in materials science using FireWorks
Bączkiewicz, Aleksandra	Impact of Input Data Preparation on Multi-Criteria Decision Analysis Results
Błaszczyk, Kinga	Champion Recommendation in League of Legends Using Machine Learning
C
Caballero-Gil, Pino	Qubit: The Game. Teaching Quantum Computing through a Game-Based Approach
Cabrita, Cristiano	Smart Control System for Sustainable Swimming Pools
Caden, Christopher	The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
Cai, Wentong	Characterization of pedestrian contact interaction trajectories
Calafate, Carlos	Feasibility and performance benefits of directional force fields for the tactical conflict management of UAVs
Camacho, Rui	Performing Aerobatic Maneuver with Imitation Learning
Cannataro, Mario	Investigating the Sentiment in Italian Long-COVID Narrations
Cao, Cong	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference
Cappelletti, Luca	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
Cardoso, Douglas O.	An Approach for Probabilistic Modeling and Reasoning of Political Networks An Analysis of Political Parties Cohesion based on Congressional Speeches
Cardoso, Pedro J. S.	Multimodal Emotion Classification Supported in the Aggregation of Pre-Trained classification models
Cardoso Pereira, Ricardo	Siamese Autoencoder-based Approach for Missing Data Imputation Automatic Delta-Adjustment Method applied to Missing Not At Random Imputation
Caro, Felipe V.	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion
Carrassi, Alberto	Using machine learning, data assimilation and their combination to improve a new generation of Arctic sea-ice models
Carrillo, Carlos	Impact of Mixed-Precision: a Way to Accelerate Data-Driven Forest Fire Spread Systems
Carvalho, Jailson	Smart Control System for Sustainable Swimming Pools
Cassão, Victor	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Castañón-Puga, Manuel	Towards an Earned Value Management Didactic Simulation Tool to Engineering Management Teaching
Castellani, Brian	The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
Castro Silva, Daniel	Performing Aerobatic Maneuver with Imitation Learning
Chang, Qiong	A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes
Chapron, Bertrand	Non-local Neural closure models of partial differential equations
Charantonis, Anastase	Learning 4DVAR inversion directly from observations
Chaussalet, Thierry	Discovering Process Models from Patient Notes
Chen, Da Qi	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
Chen, Meng-Huo	Component-wise and unconditionally energy-stable VT flash calculation
Cheng, Sibo	An efficient ViT-based spatial interpolation learner for field reconstruction Human-Sensors & Physics awared Machine Learning for Wildfire Detection and Nowcasting
Chheda, Hriday	Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Chichurin, Alexander	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
Chiscop, Irina	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
Chopard, Bastien	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
Choudhury, Salimur	Semi-supervised Learning Approach to Efficient Cut Selection in the Branch-and-Cut Framework
Chung, Eric	Constraint energy minimizing generalized multiscale finite element method for highly heterogeneous compressible flow
Chuprina, Svetlana	Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing
Churavy, Valentin	Transparent Checkpointing for Automatic Differentiation of Program Loops through Expression Transformations
Cierniak, Robert	A new statistical approach to image reconstruction with rebinning for the x-ray CT scanners with flying focal spot tube
Codognet, Philippe	Learning QUBO Models for Quantum Annealing: A Constraint-based Approach
Collard, Fabrice	Non-local Neural closure models of partial differential equations
Correa-Marichal, Javier	Qubit: The Game. Teaching Quantum Computing through a Game-Based Approach
Cortés, Ana	Downscaling WRF-Chem: Analyzing urban air quality in Barcelona city Impact of Mixed-Precision: a Way to Accelerate Data-Driven Forest Fire Spread Systems
Coster, David	Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
Coveney, Peter V.	Sensitivity Analysis of Blood Flow in Abdominal Aortic Aneurysms by Lattice Boltzmann Method Hemodynamics of the coarctation of the aorta: a Lattice Boltzmann Study
Crimi, Alessandro	Resting State Brain Connectivity analysis from EEG and FNIRS signals
Cuenca, Javier	Improving the Performance of Task-based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures
Cunha, Jose	Improving LocalMaxs Multiword Expression Statistical Extractor
Cutillas, Sergi	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
Cwynar, Hanna	TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter
Cyran, Krzysztof	SLAM methods for Augmented Reality systems for flight simulators
Czajkowski, Marcin	Hierarchical relative expression analysis in multi-omics data classification
Czarnowski, Ireneusz	Decision Tree-Based Algorithms for Detection of Damage in AIS Data
Czarnul, Pawel	The idea of a student research project as a method of preparing a student for professional and scientific work
Czech, Wojciech	Strengthening structural baselines for graph classification using Local Topological Profile
Czupryna, Marta	Solving uncertainly defined curvilinear potential 2D BVPs by the IFPIES Fuzzy solutions of boundary problems using interval parametric integral equations system
Cámara, Jesús	Improving the Performance of Task-based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures
D
Dai, Feifei	User Popularity Preference Aware Sequential Recommendation
Dairay, Thibault	Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
Dalla Riva, Giulio Valentino	The process of polarisation as a loss of dimensionality. A framework for modelling temporal networks using singular value decomposition and symbolic regression
Darrigrand, Vincent	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion Deep Learning Inversion of Geophysical Data Generated with Parametric PDEs
Davidshofer, Stéphan	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
de Callafon, Raymond	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires Wildfire Perimeter Detection via Iterative Trimming Method
De Nazelle, Audrey	An efficient ViT-based spatial interpolation learner for field reconstruction
de Paula, Matheus A M	Sensitivity Analysis of a Two-compartmental Differential Equation Mathematical Model of Multiple Sclerosis using Parallel Programming
Della Bartola, Matteo	Experimental Study of a Parallel Iterative Solver for Markov Chain Modeling
Denisiuk, Aleksander	Weighted Hamming Metric and KNN Classification of Nominal-Continuous Data
Desa, Sachit	Identifying Users of IoT Wearables by Heart rate
Di Paolo, Edoardo	From Online Behaviours to Images: A Novel Approach to Social Bot Detection
Diaz-Descalzo, Gregorio	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Dignum, Eric	Modeling mechanisms of school segregation and policy interventions: a complexity perspective
Diniz, Jose Miguel	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
Doan, Nguyen Anh Khoa	Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems Convolutional autoencoder for the spatiotemporal latent representation of turbulence
Dobija, Mateusz	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression
Dobrowolska, Anna	Simulation-Based Optimisation Model as an Element of a Digital Twin Concept for Supply Chain Inventory Control
Dolas, Sagar	Computational Steering: Interactive Design-through-Analysis for Simulation Sciences
Dongarra, Jack	An Overview of High Performance Computing and Future Requirements
Donnelly, Brian	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
Drezewski, Rafal	Surrogate-Assisted Ship Route Optimisation Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Drogosz, Zbigniew	Strokes and the brain's criticality viewed through the lens of network models
Du, Jian	Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
Duan, Huoyuan	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
Dubel, Rafal	On the Impact of Noisy Labels on Supervised Classification Models
Dudek, Grzegorz	Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Dul, Magdalena	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
Dupont, Charles	Manifold Analysis for High-Dimensional Socio-Environmental Surveys
Dvořák, Jan	Global optimisation for improved volume tracking of time-varying meshes
Dwiyanto, Felix Andika	Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Dzido, Tomasz	Applying reinforcement learning to Ramsey problems
Dzwinel, Witold	What will happen when we radically simplify t-SNE an UMAP visualization algorithms. Is it worth to do that?
Désérable, Dominique	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Dębski, Roman	Surrogate-Assisted Ship Route Optimisation
E
Elewa, Mohamed Tarek	Scale-bridging workflows in materials science using FireWorks
Elistratov, Stepan	Numerical simulation of propeller hydrodynamics using the open source software
Elo, Tommi	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
Epikhin, Andrey	Numerical simulation of propeller hydrodynamics using the open source software Numerical simulation of supersonic jet noise using open source software
Ernst, Sebastian	Towards Automatic Generation of Digital Twins: Graph-based Integration of Smart City Datasets
Escanez-Exposito, Daniel	Qubit: The Game. Teaching Quantum Computing through a Game-Based Approach
Espath, Luis	Adaptive physics-informed Spectral Learning to simulate discrete Hodge–Helmholtz decomposition
Espinosa, Antonio	Impact of Mixed-Precision: a Way to Accelerate Data-Driven Forest Fire Spread Systems
Evans, David	Machine learning detects anomalies in OPS-SAT telemetry
F
Fablet, Ronan	Non-local Neural closure models of partial differential equations Learning Neural Optimal Interpolation Models and Solvers
Falcone, Jean-Luc	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
Fan, Haihui	User Popularity Preference Aware Sequential Recommendation
Fan, Hongwei	An efficient ViT-based spatial interpolation learner for field reconstruction
Fauziah, Yuli	Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Febvre, Quentin	Learning Neural Optimal Interpolation Models and Solvers
Feld, Sebastian	Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization Black Box Optimization Using QUBO and the Cross Entropy Method
Felix, Têmis Maria	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases
Feng, Jiali	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning
Feng, Xiaoyu	Component-wise and unconditionally energy-stable VT flash calculation
Fernandes, Miguel	FAIR-FATE: Fair Federated Learning with Momentum
Fernandez-Navamuel, Ana	Combining Deep Learning and Computational Mechanics in structural damage assessment under environmental and operational variability
Filho, Márcio Colombo	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases
Filippi Mazzola, Edoardo	Estimating Parameters of 3D Cell Model using a Bayesian Recursive Global Optimizer (BaRGO)
Filoche, Arthur	Learning 4DVAR inversion directly from observations
Fink, Karin	Scale-bridging workflows in materials science using FireWorks
Fister, Iztok	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Fister, Iztok Jr.	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Flache, Andreas	Modeling mechanisms of school segregation and policy interventions: a complexity perspective
Fogelson, Aaron	Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
Fonou-Dombeu, Jean Vincent	Forest Image Classification based on Deep learning and XGBoost algorithm
Fontana, Tommaso	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
Fotin, Aleksei	Coupling between a finite element model of coronary artery mechanics and a microscale agent-based model of smooth muscle cells through trilinear interpolation
Freitas, Alberto	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
Freitas, Henrique	Performing Aerobatic Maneuver with Imitation Learning
Freitas Reis, Ruy	Influence of the capillaries bed in hyperthermia for cancer treatment
Fu, Shubin	Constraint energy minimizing generalized multiscale finite element method for highly heterogeneous compressible flow
Fuertes Blanco, Adrian	Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles
Fujita, Kohei	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
Fukazawa, Keiichiro	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Funika, Wlodzimierz	Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
Funkner, Anastasia	RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
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Gabor, Thomas	Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization Black Box Optimization Using QUBO and the Cross Entropy Method
Gabor-Siatkowska, Karolina	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
Galea, Francois	A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
Gallet, Benoit	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
Galvez-Tomida, Akemi	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Ganzha, Maria	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education
Gao, Zhanchao	A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
Garibay, Victoria M.	Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold
Gaspar, Csaba	Biharmonic scattered data interpolation based on the Method of Fundamental Solutions
Gaudiani, Adriana	Reduction of the computational cost of tuning methodology of a simulator of a physical system.
Gawłowska, Magda	Multifractal organization of EEG signals in Multiple Sclerosis
Gekle, Stephan	Predicting cell stress and deformation during bioprinting
Geller, Marcel	Toxicity in Evolving Twitter Topics
Gemignani, Luca	Experimental Study of a Parallel Iterative Solver for Markov Chain Modeling
Geng, Liru	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
Georgenthum, Hugo	Learning Neural Optimal Interpolation Models and Solvers
Gepner, Pawel	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience Chemical Mixing Simulations with Integrated AI Accelerator
Gerka, Alicja	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
Gerrits, Lasse	The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
Ghamri-Doudane, Yacine	On filtering the noise in consensual communities
Giesen, Joachim	Compiling Tensor Expressions into Einsum
Gijón, Alfonso	Graph neural network potentials for molecular dynamics simulations of water cluster anions
Gilbert, Valentin	Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations TAQOS: A Benchmark Protocol for Quantum Optimization Systems
Ginis, Vincent	Taking a Shortcut Through Phase Space: Neural Networks Solving Differential Equations
Gluza, Marek	Double-bracket flow quantum algorithm for diagonalization
Gokieli, Maria	Multi-agent cellular automaton model for traffic flow considering the heterogeneity of human delay and accelerations
Gomi, Ritsuka	Numerical simulation of the octorotor flying car in sudden rotor stop Turning Flight Simulation with Fluid-rigid Body Interaction for Flying Car with Contra-rotating Propellers
Gonczarek, Adam	Similarity-based Memory Enhanced Joint Entity and Relation Extraction
Gora, Maja	Simulation-Based Optimisation Model as an Element of a Digital Twin Concept for Supply Chain Inventory Control
Gorbatovski, Alexey	Bayesian Networks for Named Entity Prediction in Programming Community Question Answering
Goswami, Sayan	Memory-efficient all-pair suffix-prefix overlaps on GPU
Gowanlock, Michael	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
Gołyska, Urszula	Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems
Green, Oded	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
Grela, Jacek	Strokes and the brain's criticality viewed through the lens of network models
Grela, Michał	Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
Grindeanu, Iulian	Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
Groen, Derek	Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons Building Robust Simulation-based Forecasts During Emergencies Towards a simplified solution of COVID spread in buildings for use in coupled models. Integrating remote sensing data in an agent-based modeling of the Tigray conflict
Groth, Paul	Data Integration Landscapes: The Case for Non-Optimal Solutions in Network Diffusion Models
Gryboś, Dominik	The first scientiffic evidence for the hail cannon
Grycuk, Rafal	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
Grzenda, Maciej	Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
Grzesik, Piotr	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Grzeszczyk, Michal K.	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
Gu, Xiaoyan	User Popularity Preference Aware Sequential Recommendation
Guillaume, Jean-Loup	On filtering the noise in consensual communities
Gumińska, Urszula	Impact of text pre-processing on classification accuracy in Polish
Guo, Shuai	Battery voltage response prediction with physics-informed machine learning
Gupta, Richa	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
Gwetu, Mandlenkosi Victor	Forest Image Classification based on Deep learning and XGBoost algorithm
Gwizdałła, Tomasz	The social graph based on real data
Gómez-Romero, Juan	Graph neural network potentials for molecular dynamics simulations of water cluster anions
Górka, Patryk	Multi-agent cellular automaton model for traffic flow considering the heterogeneity of human delay and accelerations
Gądek, Krzysztof	Digital twin simulation development and execution on HPC infrastructures
H
Hajder, Lucyna	Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
Hajder, Mirosław	Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
Hajder, Piotr	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
Hakanen, Esko	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
Halappananvar, Mahantesh	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
Halawa, Krzysztof	Detection of objects dangerous for the operation of mining machines
Halbiniak, Kamil	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
Hamed, Ahmed Abdeen	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
Hamilton, Margaret	Exploring Counterfactual Explanations for Predicting Student Success
Han, Dongxu	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
Han, Jihun	Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks
Hanawa, Toshihiro	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP
Hao, Yue	Simulating the Deformation and Stress Distribution of High-shear Platelet Aggregates Under Multiple Shear Flow Conditions
Harzallah, Omar Anis	Comparative study of meta-heuristic algorithms for damage detection problem
Hashimoto, Atsushi	Optimization of asynchronous logging kernels for a GPU accelerated CFD solver
Hasiec, Piotr	Anomaly detection of motion capture data based on the autoencoder approach
Haviluddin, Haviluddin	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
Heighington, Lucas	Towards a simplified solution of COVID spread in buildings for use in coupled models.
Heitzmann, Théo	SocHAP: a new data driven explainable prediction of battery state of charge
Helali, Ali	Comparative study of meta-heuristic algorithms for damage detection problem
Helsham, Alexandra	Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment
Henriques Abreu, Pedro	FAIR-FATE: Fair Federated Learning with Momentum Siamese Autoencoder-based Approach for Missing Data Imputation Automatic Delta-Adjustment Method applied to Missing Not At Random Imputation
Henry Obit, Joe	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
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Hernández-Orallo, Enrique	Feasibility and performance benefits of directional force fields for the tactical conflict management of UAVs
Hervert-Escobar, Laura	Creating Models for Predictive Maintenance of Field Equipment in the Oil Industry with Simulation Based Uncertainty Modelling
Hoang, Ton Nu Huong Giang	Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
Hoffmann, Rolf	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Hori, Muneo	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
Hori, Takane	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
Horsevad, Nikolaj	Leveraging Social Contagion to Foster Consensus in Collective Decision-Making
Hu, Songlin	A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
Hu, Yangsheng	Wildfire Perimeter Detection via Iterative Trimming Method
Huaman, Israel	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity
Huchet, Antoine	On filtering the noise in consensual communities
Huynh-The, Thien	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Hácha, Filip	Global optimisation for improved volume tracking of time-varying meshes
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Ichimura, Tsuyoshi	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
Iclanzan, David	A Framework for Effective Guided Mnemonic Journeys
Ida, Akihiro	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP
Idoumghar, Lhassane	Comparative study of meta-heuristic algorithms for damage detection problem
Iglesias Prieto, Andres	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Imura, Naoto	A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes
Inajetovic, Matteo Antonio	Enabling Non-Linear Quantum Operations through Variational Quantum Splines
Inverno, Armando	Smart Control System for Sustainable Swimming Pools
Islam, Kazi Ashik	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
Iyengar, Sundaraja Sitharama	Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
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Jahani, Alireza	Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons
Jakubowski, Jakub	Towards Online Anomaly Detection in Steel Manufacturing Process
Janarek, Jakub	Strokes and the brain's criticality viewed through the lens of network models
Janecki, Dariusz	Model of perspective distortions for a vision measuring system of large-diameter bent pipes
Janiak, Denis	Graph-level representations using ensemble-based readout functions
Janicki, Artur	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
Janiczek, Tomasz	Detection of objects dangerous for the operation of mining machines
Jankowski, Jaroslaw	The role of conformity in opinion dynamics modelling with multiple social circles
Jankowski, Robert	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
Jančič, Mitja	Oscillatory behaviour of the RBF-FD approximation accuracy under increasing stencil size Spatially-varying meshless approximation method for enhanced computational efficiency
Jarmatz, Piet	Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
Jaskowiec, Krzysztof	Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification
Jastrząb, Tomasz	Inference of over-constrained NFA of size k+1 to efficiently and systematically derive NFA of size k for grammar learning
Jaworska, Irena	On the weak formulations of the Multipoint meshless FDM
Jedrzejowicz, Joanna	Balancing agents for mining imbalanced multiclass datasets - performance evaluation
Jedrzejowicz, Piotr	Balancing agents for mining imbalanced multiclass datasets - performance evaluation
Jenko, Frank	Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
Jensen, Anders Dam	Leading the Way in European Supercomputing. User’s Opportunities and Latest Updates from the EuroHPC Joint Undertaking
Jeong, Minhyuk	Global network of biofuel feedstock commodity futures
Jerez, Jose M.	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
Jess, Shenen	Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons
Joo, Kyohun	Global network of biofuel feedstock commodity futures
Josiński, Henryk	Anomaly detection of motion capture data based on the autoencoder approach
Jurczuk, Krzysztof	Hierarchical relative expression analysis in multi-omics data classification
Jurek, Jakub	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
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Kaczmarek, Mariusz	The idea of a student research project as a method of preparing a student for professional and scientific work
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Kajdanowicz, Tomasz	Graph-level representations using ensemble-based readout functions RAFEN - Regularized Alignment Framework for Embeddings of Nodes Similarity-based Memory Enhanced Joint Entity and Relation Extraction Graph TopoFilter: a method for noisy labels detection for graph-structured classes
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Kalwarowskyj, Daniela	SPMD-based Neural Network Simulation with Golang
Kamiński, Andrzej	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
Kanclerz, Kamil	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis
Kang, Yilin	Data Heterogeneity Differential Privacy: From Theory to Algorithm
Kaposi, Ágoston	Simulating sparse and shallow Gaussian Boson Sampling
Kaposi, Ágoston	Constructing generalized unitary group designs
Karpio, Krzysztof	Detection of Anomalous Days in Energy Demand using Leading Point Multi-Regression Model
Kasztelnik, Marek	Digital twin simulation development and execution on HPC infrastructures
Katai, Zoltan	A Framework for Effective Guided Mnemonic Journeys
Katoh, Yuto	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Katulski, Filip	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
Kawai, Masatoshi	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP
Kazemi, Farzin	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
Kazienko, Przemysław	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis
Kehrer, Timo	Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software On Irregularity Localization for Scientific Data Analysis Workflows
Khan, Kamran	Deep Learning Operator Network for Geometric Nonlinear Deformation with PyFEM
Kharlunin, Aleksandr	Accounting for data uncertainty in modeling acute respiratory infections: influenza in St. Petersburg as a case study
Khatchikian, Camilo	Towards an Earned Value Management Didactic Simulation Tool to Engineering Management Teaching
Khrulkov, Alexander	Prediction of Urban Population-Facilities Interactions with Graph Neural Network
Kieraś, Witold	Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter
Kim, Jinu	Global network of biofuel feedstock commodity futures
Kim, Joohyung	Global network of biofuel feedstock commodity futures
Kim, Juyub	Global network of biofuel feedstock commodity futures
Kim, Minsuok	Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model
Kishi, Shohei	Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model
Kishore, Aparna	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
Kisiel-Dorohinicki, Marek	Actor-based Scalable Simulation of N-body Problem\
Klamra, Cezary	TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter
Klaus, Julien	Compiling Tensor Expressions into Einsum
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Klepaczko, Artur	Cerebral vessel segmentation in CE-MR images using deep learning and synthetic training datasets
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Klusch, Matthias	GCS-Q: Quantum Graph Coalition Structure Generation
Koba, Cemal	Resting State Brain Connectivity analysis from EEG and FNIRS signals
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Kobyliński, Łukasz	Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter
Kocinski, Marek	CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Kocoń, Jan	CLARIN-Emo: Training Emotion Recognition Models using Human Annotation and ChatGPT Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis
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Kolarovszki, Zoltán	Simulating sparse and shallow Gaussian Boson Sampling Constructing generalized unitary group designs
Kolbusz, Janusz	Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
Kondov, Ivan	Scale-bridging workflows in materials science using FireWorks
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Konopka, Aleksandra	Performance of selected Nature-Inspired Metaheuristic Algorithms used for Extreme Learning Machine Classification performance of Extreme Learning Machine Radial Basis Function with k-means, k-medoids and mean shift clustering algorithms
Koperek, Paweł	Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
Koptyra, Bartłomiej	CLARIN-Emo: Training Emotion Recognition Models using Human Annotation and ChatGPT
Koratikere, Pavankumar	Constrained aerodynamic shape optimization using neural networks and sequential sampling Efficient uncertainty quantification using sequential sampling-based neural networks
Koric, Seid	Deep Learning Operator Network for Geometric Nonlinear Deformation with PyFEM
Kortesniemi, Yki	Alternative platforms and privacy paradox: A system dynamics analysis
Kosec, Gregor	Oscillatory behaviour of the RBF-FD approximation accuracy under increasing stencil size Spatially-varying meshless approximation method for enhanced computational efficiency
Kosherbayeva, Aiken	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
Kostiantyn, Lyman	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
Kostrzewa, Daniel	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment Tempo and Time Signature Detection of a Musical Piece
Kotowski, Krzysztof	Machine learning detects anomalies in OPS-SAT telemetry
Kotulski, Leszek	Towards Automatic Generation of Digital Twins: Graph-based Integration of Smart City Datasets
Kovalchuk, Sergey	Automatic structuring of topics for natural language generation in community question answering in programming domain Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets Bayesian Networks for Named Entity Prediction in Programming Community Question Answering RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
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Kozieja, Maciej	The first scientiffic evidence for the hail cannon
Koziel, Slawomir	Constrained aerodynamic shape optimization using neural networks and sequential sampling Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement Efficient uncertainty quantification using sequential sampling-based neural networks
Kozsik, Tamás	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs Simulating sparse and shallow Gaussian Boson Sampling Constructing generalized unitary group designs Simulation of quantum computers on tensor streaming processors
Kozłowski, Marek	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
Kościukiewicz, Witold	Similarity-based Memory Enhanced Joint Entity and Relation Extraction
Krasnowska-Kieraś, Katarzyna	Constituency Parsing with Spines and Attachments
Krawczyk, Przemek M	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics
Krawiec, Jerzy	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
Kremer, Jannick	Parallel Adjoint Taping using MPI
Kretowski, Marek	Hierarchical relative expression analysis in multi-omics data classification
Krilavičius, Tomas	Feature Extraction for Bankruptcy Prediction Using Autoencoder
Krishnamoorthy, Bala	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
Kritiski, Afrânio	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Krupa, Jan	Symbolic calculation behind floating-point arithmetic: didactic examples and experiment using CAS
Krzeszowski, Tomasz	3D tracking of multiple drones based on Particle Swarm Optimization
Krzyżak, Adam	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
Król, Robert	Impact of Input Data Preparation on Multi-Criteria Decision Analysis Results
Kuhn, D. Richard	Predicting ABM Results with Covering Arrays and Random Forests
Kuhn, Michael	Vecpar – A Framework for Portabililty and Parallelization
Kuiziniene, Dovilė	Feature Extraction for Bankruptcy Prediction Using Autoencoder
Kuk, Edyta	ML-based proactive control of industrial processes
Kuk, Michał	Feature importances as a tool for root cause analysis in time-series events
Kulpa, Tomasz	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Kurowski, Krzysztof	Exploring the Capabilities of Quantum Support Vector Machines for Image Classification on the MNIST Benchmark
Kusztal, Katarzyna	Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
Kuta, Marcin	Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
Kużelewski, Andrzej	Solving uncertainly defined curvilinear potential 2D BVPs by the IFPIES Fuzzy solutions of boundary problems using interval parametric integral equations system
Kwak, Jaeyoung	Characterization of pedestrian contact interaction trajectories
Kwenda, Clopas	Forest Image Classification based on Deep learning and XGBoost algorithm
L
La Mattina, Antonino Amedeo	Digital twin simulation development and execution on HPC infrastructures
Lalith, Maddegedara	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
Lamża, Tomasz	Software aided approach for constrained optimization based on QAOA modifications
Lardeux, Frederic	Inference of over-constrained NFA of size k+1 to efficiently and systematically derive NFA of size k for grammar learning
Lasowicz, Natalia	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
Laurinovics, Rodrigo	Machine learning detects anomalies in OPS-SAT telemetry
Le, Quan-Anh	Integrating remote sensing data in an agent-based modeling of the Tigray conflict
Lebedev, Anton	A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques
Lee, Yoonsang	Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks
Lees, Michael	Data Integration Landscapes: The Case for Non-Optimal Solutions in Network Diffusion Models Characterization of pedestrian contact interaction trajectories Modeling mechanisms of school segregation and policy interventions: a complexity perspective
Leifsson, Leifur	Constrained aerodynamic shape optimization using neural networks and sequential sampling Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement Efficient uncertainty quantification using sequential sampling-based neural networks
Lenz, David	Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
Leonenko, Vasiliy	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity Accounting for data uncertainty in modeling acute respiratory infections: influenza in St. Petersburg as a case study
Lerdo, Sebastian	Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
Lesinski, Wojciech	A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
Leszczyński, Jacek	The first scientiffic evidence for the hail cannon
Lever, Jake	Human-Sensors & Physics awared Machine Learning for Wildfire Detection and Nowcasting
Levrat, Nicolas	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
Levy, John	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
Lewis, Owen	Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
Li, Angran	Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis and Deep Learning
Li, Baoke	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning
Li, Bo	User Popularity Preference Aware Sequential Recommendation
Li, Jian	Data Heterogeneity Differential Privacy: From Theory to Algorithm
Li, Jianli	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
Li, Jingfa	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
Li, Mingyang	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
Li, Yan	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
Li, Zhiping	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning
Lim, Yuto	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
Lima, Vinicius	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases
Lima, Vinícius Costa	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Lima, Willian P. C.	An Approach for Probabilistic Modeling and Reasoning of Political Networks An Analysis of Political Parties Cohesion based on Congressional Speeches
Lin, Jerry Chun-Wei	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Lin, Meng	A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
Linnhoff-Popien, Claudia	Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization Black Box Optimization Using QUBO and the Cross Entropy Method
Liu, Dong	User Popularity Preference Aware Sequential Recommendation
Liu, Fan	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
Liu, Feng	Payload Level Graph Attention Network for Web Attack Traffic Detection
Liu, Jiangguo	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
Liu, Yanbing	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference
Liu, Yinlong	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
Liu, Yong	Data Heterogeneity Differential Privacy: From Theory to Algorithm
Lo, Sharp	Sensitivity Analysis of Blood Flow in Abdominal Aortic Aneurysms by Lattice Boltzmann Method
Lo, Sharp	Hemodynamics of the coarctation of the aorta: a Lattice Boltzmann Study
Lobosco, Marcelo	Influence of the capillaries bed in hyperthermia for cancer treatment Sensitivity Analysis of a Two-compartmental Differential Equation Mathematical Model of Multiple Sclerosis using Parallel Programming
Lodi, Stefano	Enabling Non-Linear Quantum Operations through Variational Quantum Splines
Lombardi, Michele	An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
Lomshakov, Vadim	Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets
Los, Marcin	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression The first scientiffic evidence for the hail cannon
Louise, Stéphane	Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations TAQOS: A Benchmark Protocol for Quantum Optimization Systems
Lu, Yuhai	A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference
Luckner, Marcin	Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
Ludwig, Thomas	Vecpar – A Framework for Portabililty and Parallelization
Ludwisiak, Kamil	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks
Luque, Emilio	Reduction of the computational cost of tuning methodology of a simulator of a physical system. Efficiency Analysis for IA applications in HPC systems. Case study: k-means
López-García, Guillermo	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
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Ma, Can	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
Macaluso, Antonio	GCS-Q: Quantum Graph Coalition Structure Generation Enabling Non-Linear Quantum Operations through Variational Quantum Splines
Maciejewski, Henryk	Combining Outlierness Scores and Feature Extraction Techniques for Improvement of OoD and Adversarial Attacks Detection in DNNs
Macià, Hermenegilda	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Maczuga, Paweł	Influence of activation functions on the convergence of Physics-Informed Neural Networks for 1D wave equation The first scientiffic evidence for the hail cannon
Magaz-Romero, Samuel	Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
Magri, Luca	Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos Convolutional autoencoder for the spatiotemporal latent representation of turbulence Data-driven stability analysis of a chaotic time-delayed system Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model
Mahadevan, Vijay	Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
Majos, Agata	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks
Maksymyuk, Taras	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Malawski, Maciej	Digital twin simulation development and execution on HPC infrastructures
Malawski, Maciej	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
Malyshev, Alexander	Numerical method for 3D quantification of glenoid bone loss
Manguri, Ahmed	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
Mania, Georgiana	Vecpar – A Framework for Portabililty and Parallelization
Marathe, Madhav	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
Marchese Bravo Esteves, Antônio	Influence of the capillaries bed in hyperthermia for cancer treatment
Marfo, Kwabena Frimpong	Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data
Margalef, Tomàs	Impact of Mixed-Precision: a Way to Accelerate Data-Driven Forest Fire Spread Systems
Margazoglou, Georgios	Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos Data-driven stability analysis of a chaotic time-delayed system
Markidis, Stefano	Fast Electromagnetic Field Pattern Calculations with Fourier Neural Operator Networks
Markl, Volker	On Irregularity Localization for Scientific Data Analysis Workflows
Marques, Lucas C.	An Analysis of Political Parties Cohesion based on Congressional Speeches
Martin, Kyle	Machine Learning for Risk Stratification of Diabetic Foot Ulcers using Biomarkers
Martinis, Maria Chiara	Investigating the Sentiment in Italian Long-COVID Narrations
Martins, Pedro Emilio A.	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases
Martins Rocha, Bernardo	Replacing the FitzHugh-Nagumo electrophysiology model by physics-informed neural networks
Marttila, Jarno	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
Masmoudi, Maroua	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
Massie, Stewart	Machine Learning for Risk Stratification of Diabetic Foot Ulcers using Biomarkers
Materka, Andrzej	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Mauran, Sophie	A kernel extension of the Ensemble Transform Kalman Filter
Mazurek, Cezary	Linking scholarly datasets — the EOSC perspective
Małecki, Krzysztof	Multi-agent cellular automaton model for traffic flow considering the heterogeneity of human delay and accelerations
Małota, Andrzej	Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
McCullough, Jon W. S.	Sensitivity Analysis of Blood Flow in Abdominal Aortic Aneurysms by Lattice Boltzmann Method Hemodynamics of the coarctation of the aorta: a Lattice Boltzmann Study
Mehrotra, Deepti	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
Meizner, Jan	Digital twin simulation development and execution on HPC infrastructures
Melis, Paul	Computational Steering: Interactive Design-through-Analysis for Simulation Sciences
Meng, Yuan	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
Mesa, Héctor	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
Mesbahi, Tedjani	SocHAP: a new data driven explainable prediction of battery state of charge
Meunier, Raphaël	Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
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Mezuman, Keren	Integrating remote sensing data in an agent-based modeling of the Tigray conflict
Michalski, Radosław	The role of conformity in opinion dynamics modelling with multiple social circles
Miedema, Daniël M.	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics
Mielczarek, Bożena	Simulation-Based Optimisation Model as an Element of a Digital Twin Concept for Supply Chain Inventory Control
Mielniczuk, Jan	Outlier detection under False Omission Rate control
Mikołajczyk-Bareła, Agnieszka	Transferable Keyword Extraction and Generation with Text-to-Text Language Models
Millet, Christophe	Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
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Mishina, Margarita	Prediction of Urban Population-Facilities Interactions with Graph Neural Network
Misino, Eleonora	An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
Mityagin, Sergey	Prediction of Urban Population-Facilities Interactions with Graph Neural Network
Miyake, Yohei	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Miyoshi, Newton Shydeo Brandão	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Moeller, Matthias	Computational Steering: Interactive Design-through-Analysis for Simulation Sciences
Molina-Solana, Miguel	Graph neural network potentials for molecular dynamics simulations of water cluster anions
Monfroy, Eric	Inference of over-constrained NFA of size k+1 to efficiently and systematically derive NFA of size k for grammar learning
Monteiro, Jânio	Smart Control System for Sustainable Swimming Pools
Moreno-Barea, Francisco J.	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
Moret-Bonillo, Vicente	Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
Morse, Gregory	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs Simulation of quantum computers on tensor streaming processors
Moses, William S.	Transparent Checkpointing for Automatic Differentiation of Program Loops through Expression Transformations
Mosqueira-Rey, Eduardo	Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
Mostajabdaveh, Mahdi	Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Mougeot, Mathilde	Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
Mouysset, Sandrine	A kernel extension of the Ensemble Transform Kalman Filter
Moyers-Gonzalez, Miguel	A framework for modelling temporal networks using singular value decomposition and symbolic regression
Mrozek, Dariusz	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Mu, Weimin	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
Muga, Ignacio	Goal-oriented Deep Ritz and Least-Squares methods
Muga, Ignacio	Deep Fourier Residual method for PDEs with H1 and H(curl) test function spaces
Mulderij, Jesse	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
Murakami, Sota	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
Musiał, Alicja	Machine learning detects anomalies in OPS-SAT telemetry
Müller, Sebastian	Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software
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Nagda, Bindi	Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
Nakajima, Kengo	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP
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Nalepa, Grzegorz J.	Towards Online Anomaly Detection in Steel Manufacturing Process ML-based proactive control of industrial processes Feature importances as a tool for root cause analysis in time-series events
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Nanri, Takeshi	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Narayanan, Sri Hari Krishna	Transparent Checkpointing for Automatic Differentiation of Program Loops through Expression Transformations
Naumann, Uwe	Parallel Adjoint Taping using MPI
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Nespeca, Vittorio	Building Agent-Based Models for policy support based on Qualitative Inquiry. The case of Disaster Information Management in Jakarta, Indonesia
Neumann, Niels	Classification of Hybrid Quantum-Classical Computing
Neumann, Philipp	Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
Nevin, James	Data Integration Landscapes: The Case for Non-Optimal Solutions in Network Diffusion Models
Ngo, Anh	CLARIN-Emo: Training Emotion Recognition Models using Human Annotation and ChatGPT
Nguyen, Cuong M.	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Nguyen, Mai H.	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires
Nguyen, Quoc Viet Hung	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Nguyen, Thanh Thi	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Nguyen, Thanh Tùng	Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
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Nguyen, Thi Phuong Quyen	Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
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Nikolenko, Sergey	Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets
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Nitoń, Bartłomiej	Transferable Keyword Extraction and Generation with Text-to-Text Language Models
Noakes, Lyle	Optimal Knots Selection in Fitting Degenerate Reduced Data
Nojszewska, Ewelina	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
Noreika, Algirdas	Numerical method for 3D quantification of glenoid bone loss
Novais, Rui	Multimodal Emotion Classification Supported in the Aggregation of Pre-Trained classification models
Nowacki, Jerzy	Universal machine-learning processing pattern for computing in the video-oculography.
Nowak, Adam	Digital twin simulation development and execution on HPC infrastructures
Nowakowski, Piotr	Digital twin simulation development and execution on HPC infrastructures
Nowakowski, Szymon	Improving Group Lasso for high-dimensional categorical data
Nowicki, Krzysztof	The idea of a student research project as a method of preparing a student for professional and scientific work
Nowinski, Wieslaw	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
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Ochab, Jeremi	Strokes and the brain's criticality viewed through the lens of network models Multifractal organization of EEG signals in Multiple Sclerosis
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Pach, Jakub Leszek	Database of fragments of medieval codices of the 11th-12th centuries - the uniqueness of requirements and data
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Petrocchi, Marinella	From Online Behaviours to Images: A Novel Approach to Social Bot Detection
Pełka, Paweł	Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
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Pluta, Piotr	A new statistical approach to image reconstruction with rebinning for the x-ray CT scanners with flying focal spot tube
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Poniszewska-Maranda, Aneta	Impact of text pre-processing on classification accuracy in Polish
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Pornthisan, Nattawat	Fast Electromagnetic Field Pattern Calculations with Fourier Neural Operator Networks
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Prokopenya, Alexander	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
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Przybyszewski, Andrzej W.	Multi-Granular Computing Can Predict Prodromal Alzheimer’s Disease Indications in Normal Subjects Universal machine-learning processing pattern for computing in the video-oculography.
Przybyła-Kasperek, Małgorzata	Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
Puma, Michael J.	Integrating remote sensing data in an agent-based modeling of the Tigray conflict
Pęzik, Piotr	Transferable Keyword Extraction and Generation with Text-to-Text Language Models
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Qian, Mingda	User Popularity Preference Aware Sequential Recommendation
Quiane Ruiz, Jorge Arnulfo	On Irregularity Localization for Scientific Data Analysis Workflows
Quintela, Barbara M	Sensitivity Analysis of a Two-compartmental Differential Equation Mathematical Model of Multiple Sclerosis using Parallel Programming
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Racca, Alberto	Convolutional autoencoder for the spatiotemporal latent representation of turbulence
Raddaoui, Marouane	Knowledge hypergraph-based multidimensional analysis for natural language queries: application to medical data
Radliński, Łukasz	CLARIN-Emo: Training Emotion Recognition Models using Human Annotation and ChatGPT
Rafajłowicz, Ewaryst	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
Rafajłowicz, Wojciech	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
Rahman, Md. Mostafizer	Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education
Rajaoarisoa, Lala	Feature importances as a tool for root cause analysis in time-series events
Rakyta, Peter	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs Simulation of quantum computers on tensor streaming processors
Ramirez-Velarde, Raul	Creating Models for Predictive Maintenance of Field Equipment in the Oil Industry with Simulation Based Uncertainty Modelling
Ramsey, David	Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
Rani, Pooja	Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software
Rathore, Hemant	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
Rauch, Łukasz	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Raunak, M S	Predicting ABM Results with Covering Arrays and Random Forests
Razzak, Imran	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Rb-Silva, Rita	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
Reddi, Vijay Janapa	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Regulski, Krzysztof	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Rejchel, Wojciech	Improving Group Lasso for high-dimensional categorical data
Resende Fatigate, Gustavo	Influence of the capillaries bed in hyperthermia for cancer treatment
Rexachs, Dolores	Reduction of the computational cost of tuning methodology of a simulator of a physical system. Efficiency Analysis for IA applications in HPC systems. Case study: k-means
Ribelles, Nuria	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
Richoux, Florian	Learning QUBO Models for Quantum Annealing: A Constraint-based Approach
Rigola, Joaquim	DNS of thermocapillary migration of a bi-dispersed suspension of droplets Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer
Rivas, Jose	Efficiency Analysis for IA applications in HPC systems. Case study: k-means
Roch, Christoph	Black Box Optimization Using QUBO and the Cross Entropy Method
Roco, Alessandro	Deep Learning Inversion of Geophysical Data Generated with Parametric PDEs
Rodrigues, João M. F.	Multimodal Emotion Classification Supported in the Aggregation of Pre-Trained classification models
Rodriguez, Julien	Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
Rodríguez, Oscar A.	Memory-based Monte Carlo integration for solving Partial Differential Equations using Neural Networks
Rojas, Otilio	A Deep r- Adaptive First Order Least Squares method for solving elliptic PDEs
Rojek, Krzysztof	Chemical Mixing Simulations with Integrated AI Accelerator
Roozmeh, Mehdi	Scale-bridging workflows in materials science using FireWorks
Rosner, Jakub	3D tracking of multiple drones based on Particle Swarm Optimization
Rot, Miha	Oscillatory behaviour of the RBF-FD approximation accuracy under increasing stencil size Spatially-varying meshless approximation method for enhanced computational efficiency
Roy, Debraj	Manifold Analysis for High-Dimensional Socio-Environmental Surveys Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles
Rudnicki, Witold	A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
Ruiz, M. Carmen	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Ruszczak, Bogdan	Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features Machine learning detects anomalies in OPS-SAT telemetry
Rvanova, Lyudmila	Automatic structuring of topics for natural language generation in community question answering in programming domain
Ryabinin, Konstantin	Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing
Rycerz, Katarzyna	Software aided approach for constrained optimization based on QAOA modifications
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Sachetto Oliveria, Rafael	Replacing the FitzHugh-Nagumo electrophysiology model by physics-informed neural networks
Saeedipour, Mahdi	Towards unresolved RBC – a deformable particle model for the unresolved CFD-DEM simulation of blood flow
Saha, Joyaditya	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics
Saha, Kamonashish	DeBERTNeXT: A Multimodal Fake News Detection framework
Sahatova, Kseniya	Accounting for data uncertainty in modeling acute respiratory infections: influenza in St. Petersburg as a case study
Sahay, Sanjay K.	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
Sahin, Emre	A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques
Saifullah, Shoffan	Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Salazar, Teresa	FAIR-FATE: Fair Federated Learning with Momentum
Salzburger, Andreas	Vecpar – A Framework for Portabililty and Parallelization
Samet, Ahmed	SocHAP: a new data driven explainable prediction of battery state of charge
Saputa, Karol	Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora Automating the Analysis of Institutional Design in International Agreements
Sartori, Claudio	Enabling Non-Linear Quantum Operations through Variational Quantum Splines
Savari, Mohammad	Leveraging Social Contagion to Foster Consensus in Collective Decision-Making
Savickas, Paulius	Feature Extraction for Bankruptcy Prediction Using Autoencoder
Sawczyn, Albert	Graph-level representations using ensemble-based readout functions
Scarpino, Ileana	Investigating the Sentiment in Italian Long-COVID Narrations
Schanen, Michel	Transparent Checkpointing for Automatic Differentiation of Program Loops through Expression Transformations
Scherer, Rafal	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
Schikuta, Erich	SPMD-based Neural Network Simulation with Golang Dynamic Data Replication for Short Time-to-Completion in a Data Grid
Schimpf, Corey	The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
Schmidt, Bertil	Automated identification and location of three dimensional atmospheric frontal systems
Schreiber, Hanna	Automating the Analysis of Institutional Design in International Agreements
Schönborn, Sandro	Battery voltage response prediction with physics-informed machine learning
Sepúlveda, Paulina	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression A Deep r- Adaptive First Order Least Squares method for solving elliptic PDEs
Seredynski, Franciszek	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Sewak, Mohit	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries
Seweryn, Karolina	Automating the Analysis of Institutional Design in International Agreements
Shankar, C S	Sub-Exponential ML algorithm for predicting local ground state properties
Sheraton, Vivek M	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set
Shi, Zeshun	Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles
Shubyn, Bohdan	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Sikora, Mikołaj	An application of evolutionary algorithms and machine learning in four-part harmonization
Silva, Guilherme G. V. L.	An Approach for Probabilistic Modeling and Reasoning of Political Networks
Silva, Gustavo G	Sensitivity Analysis of a Two-compartmental Differential Equation Mathematical Model of Multiple Sclerosis using Parallel Programming
Silva, Joaquim	Improving LocalMaxs Multiword Expression Statistical Extractor
Silvestri, Mattia	An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
Simon, Ehouarn	A kernel extension of the Ensemble Transform Kalman Filter
Sirdey, Renaud	Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations TAQOS: A Benchmark Protocol for Quantum Optimization Systems
Sitarz, Konrad	Universal machine-learning processing pattern for computing in the video-oculography.
Sitek, Arkadiusz	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
Skala, Vaclav	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
Sluzalec, Tomasz	Fast solver for advection dominated diffusion using residual minimization and neural networks
Slysz, Mateusz	Exploring the Capabilities of Quantum Support Vector Machines for Image Classification on the MNIST Benchmark
Smendowski, Mateusz	Long-term prediction of cloud resource usage in high-performance computing
Smith, Connor	A framework for modelling temporal networks using singular value decomposition and symbolic regression
Smołka, Maciej	An application of evolutionary algorithms and machine learning in four-part harmonization
Smyl, Slawek	Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Sniezynski, Bartlomiej	Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification
Soares, Giovane Thomazini	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Sobolevsky, Stanislav	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers Deep Learning Attention Model For Supervised and Unsupervised Network Community Detection Prediction of Urban Population-Facilities Interactions with Graph Neural Network
Soltys, Agnieszka	Improving Group Lasso for high-dimensional categorical data
Solymos, Adrian	Constructing generalized unitary group designs
Song, Andy	Smart Head-mount Obstacle Avoidance Wearable for the Vision Impaired
Soufi, Cyrine	SocHAP: a new data driven explainable prediction of battery state of charge
Souza, Julio	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
Sowański, Marcin	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
Sowiński, Piotr	Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education
Spichtinger, Peter	Automated identification and location of three dimensional atmospheric frontal systems
Spieker, Christian	Simulating initial steps of platelet aggregate formation in a cellular blood flow environment
Spognardi, Angelo	From Online Behaviours to Images: A Novel Approach to Social Bot Detection
Stanisz, Przemysław	Towards Online Anomaly Detection in Steel Manufacturing Process
Stańczyk, Urszula	Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
Stefaniak, Izabela	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
Stein, Jonas	Black Box Optimization Using QUBO and the Cross Entropy Method
Sterzel, Mariusz	Software aided approach for constrained optimization based on QAOA modifications
Struniawski, Karol	Performance of selected Nature-Inspired Metaheuristic Algorithms used for Extreme Learning Machine Classification performance of Extreme Learning Machine Radial Basis Function with k-means, k-medoids and mean shift clustering algorithms
Struski, Łukasz	r-softmax: Generalized Softmax with Controllable Sparsity Rate
Styles, Nicholas	Vecpar – A Framework for Portabililty and Parallelization
Stępień, Stanisław	The role of conformity in opinion dynamics modelling with multiple social circles
Su, Majing	A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference
Suarez, Eugenio D.	Towards an Earned Value Management Didactic Simulation Tool to Engineering Management Teaching
Suleiman, Basem	B2-FedGAN: Balanced Bi-directional FefAvg based GAN Identifying Users of IoT Wearables by Heart rate Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment
Suleimenova, Diana	Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons Integrating remote sensing data in an agent-based modeling of the Tigray conflict
Sun, Jia He	Semi-supervised Learning Approach to Efficient Cut Selection in the Branch-and-Cut Framework
Sun, Jiyan	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
Sun, Ray-Hon	A Study of Imaging in the Existence of Resonance with Multiple Scattering in Isotropic Point-Like Discrete Random Media
Sun, Shuyu	Component-wise and unconditionally energy-stable VT flash calculation Unconditionally Energy-Stable SPH Methods for Incompressible Single-Phase and Two-Phase Flows
Sun, Yu	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
Sunada, Youhei	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Sunderam, Vaidy	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Suppi, Remo	Efficiency Analysis for IA applications in HPC systems. Case study: k-means
Sysko-Romańczuk, Sylwia	Automating the Analysis of Institutional Design in International Agreements
Syu, Jia-Hao	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Szajerman, Dominik	Champion Recommendation in League of Legends Using Machine Learning
Szarek, Kamil	Actor-based Scalable Simulation of N-body Problem\
Szarmach, Marta	Decision Tree-Based Algorithms for Detection of Damage in AIS Data
Szczepankiewicz, Filip	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks
Szczypinski, Piotr	Radius Estimation in Angiograms using Multiscale Vesselness Function
Szkoła, Kamil	Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
Szmeja, Paweł	Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education
Sztangret, Łukasz	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Szyc, Kamil	Combining Outlierness Scores and Feature Extraction Techniques for Improvement of OoD and Adversarial Attacks Detection in DNNs
Szymczak, Piotr	Hierarchical Classification of Adverse Events Based on Consumer’s Comments
Szymkowiak, Jakub	Detection of objects dangerous for the operation of mining machines
Szyszka, Anna	Parallel algorithm for concurrent integration of three-dimensional B-spline functions
T
Tabor, Jacek	r-softmax: Generalized Softmax with Controllable Sparsity Rate
Tagowski, Kamil	RAFEN - Regularized Alignment Framework for Embeddings of Nodes
Takahashi, Naoya	Numerical simulation of the octorotor flying car in sudden rotor stop
Takeuchi, Seiichi	Numerical simulation of the octorotor flying car in sudden rotor stop Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model
Takii, Ayato	Numerical simulation of the octorotor flying car in sudden rotor stop
Takii, Ayato	Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model Turning Flight Simulation with Fluid-rigid Body Interaction for Flying Car with Contra-rotating Propellers
Tan, Li	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires Wildfire Perimeter Detection via Iterative Trimming Method
Tan, Shuo	Wildfire Perimeter Detection via Iterative Trimming Method
Tanaka, Yuito	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Tang, Zixian	Payload Level Graph Attention Network for Web Attack Traffic Detection
Taylor, Jamie Michael	Deep Fourier Residual method for PDEs with H1 and H(curl) test function spaces Memory-based Monte Carlo integration for solving Partial Differential Equations using Neural Networks
Thevathyan, Charles	Exploring Counterfactual Explanations for Predicting Student Success
Thompson, Joseph	Learning Neural Optimal Interpolation Models and Solvers
Thorve, Swapna	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
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