EPIA2023: 22ND EPIA CONFERENCE ON ARTIFICIAL INTELLIGENCE

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

A
Adaptive e-learning	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Adaptive Interfaces	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Adaptive Sampling	Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
additive ensemble	Combining neighbor models to improve predictions for ATTRv
Address Matching	Improving Address Matching using Siamese Transformer Networks
affective computing	Symbolic music generation conditioned on continuous-valued emotions
Affordances	AIGenC: AI Generalisation via Creativity
African languages	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
Agency	A Path to Generative Artificial Selves
Agent-Based Model	Review of Agent-Based Evacuation Models in Python
AGI	Can we hold AGI-enabled Robot Morally Responsible for their Actions?
Agriculture
Agriculture 4.0	Enhancing Pest Detection Models through Improved Annotations
AI	Creativity, intentions, and self-narratives: Can AI really be creative? Can we hold AGI-enabled Robot Morally Responsible for their Actions?
AI accountability	Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation Data Quality, Data Balance and Data Documentation: a framework
AI Act	The AI Act meets General Purpose AI: the good, the bad and the uncertain
AI chatbot
AI Education	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
AI fairness	Data Quality, Data Balance and Data Documentation: a framework
AI regulation	Navigating the landscape of AI ethics and responsibility
AI risks	Navigating the landscape of AI ethics and responsibility
AI transparency	Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation
AI trustworthiness	Data Quality, Data Balance and Data Documentation: a framework
Air pollution	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Albertina	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
algorithmic bias	Data Quality, Data Balance and Data Documentation: a framework
AMA	Can we hold AGI-enabled Robot Morally Responsible for their Actions?
animal emotions	A System for Animal Health Monitoring and Emotions Detection
Animal health	A System for Animal Health Monitoring and Emotions Detection
Anomalies Detection	Sound-based Anomalies Detection in Agricultural Robotics Application
Anonymisation	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
anxiety	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Applications	Digital Twins: Benefits, Applications and Development Process
Argument Classification	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Argument Mining	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Argumentation Mining	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
Artificial Intelligence	Using Artificial Intelligence for Trust Management Systems in Fog Computing Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes. Does ChatGPT Pass the Brazilian Bar Exam? The AI Act meets General Purpose AI: the good, the bad and the uncertain Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Artificial Intelligence Regulation	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Atrial Fibrillation	Deep learning survival model to predict atrial fibrillation from ECGs and EHR data
Autocatalytic Network	A Path to Generative Artificial Selves
Automated Machine Learning	A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities
Automatic Essay Scoring	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
automatic poetry evaluation	Erato: Automatizing Poetry Evaluation
Automatic Speech Recognition	AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
B
Benefit	Digital Twins: Benefits, Applications and Development Process
BERT	A Semantic Search System for the Supremo Tribunal de Justiça LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions Advancing Neural Encoding of Portuguese with Transformer Albertina PT-* Task Conditioned BERT for Joint Intent Detection and Slot-filling A Semantic Search System for the Supremo Tribunal de Justiça
big data	Studying the impact of sampling in highly frequent time series
Big Data Healthcare
Bio-acoustic Classification	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Bio-acoustic Signal	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Biomedical Language Models	Leveraging TFR-BERT for ICD Diagnoses Ranking
Biometric Recognition	Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges
Brain Decoding	Emotional state classification from brain signals using CNNs adapted for fMRI signal properties
Brazilian Bar Exam	Does ChatGPT Pass the Brazilian Bar Exam?
building energy management	Rule-based system for intelligent energy management in buildings
Building Exposure Models	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
C
Cardiothoracic Surgery	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Causal Inference	Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems
Causal responsibility	Can we hold AGI-enabled Robot Morally Responsible for their Actions?
Causality	Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems
CDR Data	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Cetaceans	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Chat-GPT	Does ChatGPT Pass the Brazilian Bar Exam?
ChatGPT	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Classification	Data Mining Models to predict parking lot availability
Climate Change	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Cloud infrastructure	Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species
Clustering	Using CDR Data to Understand Post-Pandemic Mobility Patterns Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
CNC turning machining	Time-series pattern verification in CNC machining data
code generation	Source-Code Generation using Deep Learning: A Survey
Cognitive Architecture	A Path to Generative Artificial Selves
Collaborative Agent-Based Learning	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
Collaborative Learning	A novel federated learning approach to enable distributed and collaborative genetic programming
Collectively Sharing Human Eyes	A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
Computational Creativity	Evolving Urban Landscapes
Computer Vision	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations Source-Code Generation using Deep Learning: A Survey Vision Transformers applied to Indoor Room Classification Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
consumer comfort	Rule-based system for intelligent energy management in buildings
Contextual Outliers	Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions
Convolution Neural Network	Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
convolutional neural netowrks	Can the segmentation improve the grape varieties' identification through images acquired on-field?
Convolutional Neural Network	Measuring latency-accuracy trade-offs in Convolutional Neural Networks Analysis of Dam Natural Frequencies Using a Convolutional Neural Network Vision Transformers applied to Indoor Room Classification
Convolutional Neural Networks	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Corpus Translation	Event Extraction for Portuguese: A QA-driven Approach using ACE-2005
Covariance kernel	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
COVID-19	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Creativity	AIGenC: AI Generalisation via Creativity Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes. A Path to Generative Artificial Selves Creativity, intentions, and self-narratives: Can AI really be creative?
Cutting insert	Time-series pattern verification in CNC machining data
D
dams	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Data acquisition	Learning Postoperative Pain through Physiological Signals
data and data source	A Scoping Review of Energy Load Disaggregation
data balance	Data Quality, Data Balance and Data Documentation: a framework
data documentation	Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation Data Quality, Data Balance and Data Documentation: a framework
Data Exchange	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
Data Fusion	Mining Causal Links Between TV Sports Content and Real-World Data
data generation	Advancements in synthetic data extraction for industrial injection molding
Data Leakage	Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems
Data Market	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
Data Mining	Data Mining Models to predict parking lot availability Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges
Data Protection	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
Data quality	Data Quality, Data Balance and Data Documentation: a framework
data reduction	Studying the impact of sampling in highly frequent time series
data streams	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Data-Centric	Enhancing Pest Detection Models through Improved Annotations
Data-driven	Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs
De-noising	Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems
DeBERTa	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Decision Support
Deep Attention Recurrent Networks	Revisiting Deep Attention Recurrent Networks
Deep Learning	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations Can the segmentation improve the grape varieties' identification through images acquired on-field? Segmentation as a pre-processing for automatic grape moths detection Improving Address Matching using Siamese Transformer Networks Source-Code Generation using Deep Learning: A Survey On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents Deep learning survival model to predict atrial fibrillation from ECGs and EHR data Vision Transformers applied to Indoor Room Classification Using Deep Learning for Building Stock Classification in Seismic Risk Analysis Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector Advancing Neural Encoding of Portuguese with Transformer Albertina PT-* Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning Emotional state classification from brain signals using CNNs adapted for fMRI signal properties
Deep Reinforcement Learning	Revisiting Deep Attention Recurrent Networks
density ratio estimation	Estimating the Density Ratio with a ReLU Induced Tessellation
depression detection	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Design processes	Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes.
detecting	A System for Animal Health Monitoring and Emotions Detection
Development process	Digital Twins: Benefits, Applications and Development Process
Dialog State Tracking	Task Conditioned BERT for Joint Intent Detection and Slot-filling
Digital Transformation	AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
Digital Twin	Digital Twins: Benefits, Applications and Development Process
Domain preferences	Imbalanced Regression Evaluation under Uncertain Domain Preferences
Domain-generality	A Path to Generative Artificial Selves
domain-specific input generation	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
Dynamic Bayesian Networks	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
E
ECG sensor	Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges
Edge Computing	Using Artificial Intelligence for Trust Management Systems in Fog Computing
Electrocardiogram	Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges
emotion	Symbolic music generation conditioned on continuous-valued emotions
Emotion Classification	Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset Emotional state classification from brain signals using CNNs adapted for fMRI signal properties
Encoder	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Energy Cost	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Energy load disaggregation	A Scoping Review of Energy Load Disaggregation
Ethical AI	Navigating the landscape of AI ethics and responsibility
Ethical Legal and Social Issues	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Ethics	An Ethical Perspective on Intelligent Transport Systems
European Portuguese	OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
Evacuation	Review of Agent-Based Evacuation Models in Python
evaluation	Erato: Automatizing Poetry Evaluation
Event Extraction	Event Extraction for Portuguese: A QA-driven Approach using ACE-2005
Evolutionary Computation	Evolving Urban Landscapes A novel federated learning approach to enable distributed and collaborative genetic programming
Explainability	Interpreting What Is Important: An Explainability Approach And Study On Feature Selection
Extended Mind Thesis
F
Fairness	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
Feature extraction	Learning Postoperative Pain through Physiological Signals
Feature Selection	Interpreting What Is Important: An Explainability Approach And Study On Feature Selection
Federated Learning	A novel federated learning approach to enable distributed and collaborative genetic programming
Fighting Harassment	Safety, Stability, and Efficiency of Taxi Rides
Fog Computing	Using Artificial Intelligence for Trust Management Systems in Fog Computing
Food Recommendation	Design and Development of Ontology for AI-based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients
forecasting	Studying the impact of sampling in highly frequent time series
Forest generator	Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species
Forestry	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
Foundation Model	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
functional magnetic resonance imaging (fMRI)	Emotional state classification from brain signals using CNNs adapted for fMRI signal properties
Functionalism	Can we hold AGI-enabled Robot Morally Responsible for their Actions?
G
Gaussian Process	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
General Purpose	The AI Act meets General Purpose AI: the good, the bad and the uncertain
Generalisation	AIGenC: AI Generalisation via Creativity
Generalization Ability	Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
Generative Design	Evolving Urban Landscapes
generative-AI
Genetic Programming	A novel federated learning approach to enable distributed and collaborative genetic programming
Glioma	Multi-omics data integration and network inference for biomarker discovery in glioma
Granger Causality	Mining Causal Links Between TV Sports Content and Real-World Data
grape variety identification	Can the segmentation improve the grape varieties' identification through images acquired on-field?
Greenhouse Gas	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
H
Harmful algal blooms	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Healthcare Analytics
Healthcare Informatics
Heuristic	Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs
heuristic search	Heuristic Search Optimisation using Planning and Curriculum Learning Techniques
Holt-Winters	Studying the impact of sampling in highly frequent time series
Hospital Bed Management	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Human Motivation	A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
Hybrid intelligence
Hyperspectral images	Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species
I
Image Classification	A novel federated learning approach to enable distributed and collaborative genetic programming
Image Segmentation	Segmentation as a pre-processing for automatic grape moths detection
Imbalanced learning	Imbalanced Regression Evaluation under Uncertain Domain Preferences
Imbalanced regression	Imbalanced Regression Evaluation under Uncertain Domain Preferences
Implicit Negative Feedback	Hybrid SkipAwareRec: A Streaming Music Recommendation System
Indoor Classification	Vision Transformers applied to Indoor Room Classification
Industrial Design	Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes.
industry	Advancements in synthetic data extraction for industrial injection molding
Industry 4.0	Time-series pattern verification in CNC machining data
Inference time	Measuring latency-accuracy trade-offs in Convolutional Neural Networks
injection molding	Advancements in synthetic data extraction for industrial injection molding
Insect Detection	Segmentation as a pre-processing for automatic grape moths detection
Instance Segmentation	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
intelligent energy systems	Rule-based system for intelligent energy management in buildings
Intelligent Transport Systems	An Ethical Perspective on Intelligent Transport Systems
Intelligent Tutoring System	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Intent detection	Task Conditioned BERT for Joint Intent Detection and Slot-filling
Internet of Things	An IoT-Based Framework for Sustainable Supply Chain Management System
Interpretability	Towards Interpretability in Fintech Applications via Knowledge Augmentation
IoT	A System for Animal Health Monitoring and Emotions Detection
J
Job Shop	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Judicial Rulings	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
K
Kinematic redundancy	A Review on Quadruped Manipulators
Knowledge Augmentation	Towards Interpretability in Fintech Applications via Knowledge Augmentation
Knowledge Distillation	Towards Interpretability in Fintech Applications via Knowledge Augmentation
L
Language Models	LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law
Large Language Model	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Large Language Models	A Semantic Search System for the Supremo Tribunal de Justiça A Semantic Search System for the Supremo Tribunal de Justiça
Law	Does ChatGPT Pass the Brazilian Bar Exam?
Learning Transfer	AIGenC: AI Generalisation via Creativity
Learning-to-Rank	Leveraging TFR-BERT for ICD Diagnoses Ranking
Legal Analytics	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
Legal Information	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
Legal Information Retrieval	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents A Semantic Search System for the Supremo Tribunal de Justiça LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law A Semantic Search System for the Supremo Tribunal de Justiça
Legitimate Interest	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
Linear Frequency Cepstral Coefficients	Time-series pattern verification in CNC machining data
linear regions	Estimating the Density Ratio with a ReLU Induced Tessellation
load disaggregation methods	A Scoping Review of Energy Load Disaggregation
Low-resource languages	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
LSTM	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
M
Machine Learning	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network Studying the impact of sampling in highly frequent time series Enhancing Pest Detection Models through Improved Annotations Depression Detection for Twitter Users using Machine Learning Sentiment Analysis Source-Code Generation using Deep Learning: A Survey Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery Towards Interpretability in Fintech Applications via Knowledge Augmentation Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning Advancements in synthetic data extraction for industrial injection molding Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning DyPrune: Dynamic pruning rates for neural networks Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges Learning Postoperative Pain through Physiological Signals
machine learning robustness	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
machine learning testing	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
Machine Longevity	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Markov Chain Monte Carlo	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
Maturity Model	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Medical Efficiency	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Medical Image Analysis	Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
Microscopic Emissions Model	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
MIDI	Symbolic music generation conditioned on continuous-valued emotions
Milling machining	Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning
Mobile manipulator	A Review on Quadruped Manipulators
Mobility	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Mobility Patterns	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Model-based RL	Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning
Modern Optimization	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
monitoring	A System for Animal Health Monitoring and Emotions Detection
Moral agency	Can we hold AGI-enabled Robot Morally Responsible for their Actions?
Moral responsibility	Can we hold AGI-enabled Robot Morally Responsible for their Actions?
Motion-planning	A Review on Quadruped Manipulators
Mowing	Sound-based Anomalies Detection in Agricultural Robotics Application
Multi-Agent System	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
Multi-agent systems	Addressing Self-Sustainability in Multi-Agent Systems through Combating Terrorism Financing
Multi-Layer Preferences	Safety, Stability, and Efficiency of Taxi Rides
Multi-sensors time series	Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning
Multimodal Healthcare
Music dataset	Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset
music generation	Symbolic music generation conditioned on continuous-valued emotions
N
Named Entity Recognition	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
narrative	Creativity, intentions, and self-narratives: Can AI really be creative?
Narrative extraction	Tweet2Story: Extracting Narratives From Twitter
natural frequencies	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
natural language	Source-Code Generation using Deep Learning: A Survey
Natural Language Processing	AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
Natural Language Understanding	Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
Network Analysis	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Network distance	Multi-omics data integration and network inference for biomarker discovery in glioma
Network inference	Multi-omics data integration and network inference for biomarker discovery in glioma
Network traffic analysis	Measuring latency-accuracy trade-offs in Convolutional Neural Networks
Neural Architecture Search
Neural Networks	DyPrune: Dynamic pruning rates for neural networks
neural planning	Heuristic Search Optimisation using Planning and Curriculum Learning Techniques
Neural Process	Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
Neuro-symbolic approach	Leveraging Symbolic and Deep Learning Techniques for Explainable Sentiment Analysis
Neuro-Symbolic Approaches	Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
Next Best Action Recommendation	Hybrid SkipAwareRec: A Streaming Music Recommendation System
NLP	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Nonparametric	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
numerosity reduction	Studying the impact of sampling in highly frequent time series
O
Object Detection	Enhancing Pest Detection Models through Improved Annotations
One-Class Classification	Time-series pattern verification in CNC machining data
Ontology	Design and Development of Ontology for AI-based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients
Open Information Extraction	Tweet2Story: Extracting Narratives From Twitter
P
Pain assessment	Learning Postoperative Pain through Physiological Signals
paraphrase generation	OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
paraphrastic dataset	OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
Parking Lot	Data Mining Models to predict parking lot availability
Personalized Healthcare	Design and Development of Ontology for AI-based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients
Personalized Learning	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Physical Twin	Digital Twins: Benefits, Applications and Development Process
Physiological signals	Learning Postoperative Pain through Physiological Signals
poetry	Erato: Automatizing Poetry Evaluation
Portuguese	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Postoperative pain	Learning Postoperative Pain through Physiological Signals
Pre-Trained Transformer Models	Improving Address Matching using Siamese Transformer Networks
Precision Agriculture	Can the segmentation improve the grape varieties' identification through images acquired on-field?
precision viticulture	Can the segmentation improve the grape varieties' identification through images acquired on-field?
prediction	Combining neighbor models to improve predictions for ATTRv
Predictive Performance	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
Principal component analysis	Multi-omics data integration and network inference for biomarker discovery in glioma
PRISMA	Review of Agent-Based Evacuation Models in Python
Privacy	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
process	Creativity, intentions, and self-narratives: Can AI really be creative?
Processing	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
product	Creativity, intentions, and self-narratives: Can AI really be creative?
Production Scheduling Optimization	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Proportionality	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
Proteomics	Multi-omics data integration and network inference for biomarker discovery in glioma
Pruning	DyPrune: Dynamic pruning rates for neural networks
Purpose	Digital Twins: Benefits, Applications and Development Process
Python	Review of Agent-Based Evacuation Models in Python
Q
Quadruped manipulator	A Review on Quadruped Manipulators
Quality control	Time-series pattern verification in CNC machining data
Question Answer	Event Extraction for Portuguese: A QA-driven Approach using ACE-2005
R
Ranking Diagnoses	Leveraging TFR-BERT for ICD Diagnoses Ranking
Recommender Systems	Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems
Regression	A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities Combining neighbor models to improve predictions for ATTRv Data Mining Models to predict parking lot availability
Reinforcement Learning	Hybrid SkipAwareRec: A Streaming Music Recommendation System AIGenC: AI Generalisation via Creativity Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning
ReLU neural networks	Estimating the Density Ratio with a ReLU Induced Tessellation
Renewable Energy Resources	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Representation Learning	Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning
Representational Learning	AIGenC: AI Generalisation via Creativity
Responsible AI	Navigating the landscape of AI ethics and responsibility
Responsible Artificial Intelligence	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Responsible Research and Innovation	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Road Emissions	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Robot Simulation	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
robustness sensitivity analysis	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
robustness testing	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
rule-based systems	Rule-based system for intelligent energy management in buildings
S
Scheduling	Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs
scoping review	A Scoping Review of Energy Load Disaggregation
search algorithms	Heuristic Search Optimisation using Planning and Curriculum Learning Techniques
Seismic Risk Analysis	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Selective Thinning	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
Selfhood	A Path to Generative Artificial Selves
semantic embeddings	OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
Semantic Search	A Semantic Search System for the Supremo Tribunal de Justiça LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law A Semantic Search System for the Supremo Tribunal de Justiça
Semantic Web	Design and Development of Ontology for AI-based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients
Semi-supervised Learning	Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems
Sentiment analysis	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset Leveraging Symbolic and Deep Learning Techniques for Explainable Sentiment Analysis
Sequential Recommendation	Hybrid SkipAwareRec: A Streaming Music Recommendation System
Serendipity	A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
Shellfish contamination	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Shifter patterns	Leveraging Symbolic and Deep Learning Techniques for Explainable Sentiment Analysis
Short Text Stream Clustering	Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions Clustering Massive, Noisy, and Unstructured Textual Streams
Siamese Neural Networks	Improving Address Matching using Siamese Transformer Networks
Similarity	Clustering Massive, Noisy, and Unstructured Textual Streams
Simulation	Review of Agent-Based Evacuation Models in Python
Slot filling	Task Conditioned BERT for Joint Intent Detection and Slot-filling
Smart Cities	A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities Data Mining Models to predict parking lot availability
Smart Farming	Enhancing Pest Detection Models through Improved Annotations
Smart Healthcare	AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
Smart Pest Monitoring	Segmentation as a pre-processing for automatic grape moths detection
smart supply chains	An IoT-Based Framework for Sustainable Supply Chain Management System
social media	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Soft Top-Down Attention	Revisiting Deep Attention Recurrent Networks
Sound-based	Sound-based Anomalies Detection in Agricultural Robotics Application
Spatiotemporal Forecasting	Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
Spell checking	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
Spelling correction	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
Sports Broadcast	Mining Causal Links Between TV Sports Content and Real-World Data
Stationary	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
STFT	Sound-based Anomalies Detection in Agricultural Robotics Application
structural health monitoring	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
suicide	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Supervised Classification	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Supervised Learning	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
supply chain integration	An IoT-Based Framework for Sustainable Supply Chain Management System
supply chain management	An IoT-Based Framework for Sustainable Supply Chain Management System
supply chain processes	An IoT-Based Framework for Sustainable Supply Chain Management System
Survival Analysis	Deep learning survival model to predict atrial fibrillation from ECGs and EHR data
Sustainability	An IoT-Based Framework for Sustainable Supply Chain Management System Addressing Self-Sustainability in Multi-Agent Systems through Combating Terrorism Financing
Symbiosis	Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes.
Symbolic music	Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset
synthetic data	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics Advancements in synthetic data extraction for industrial injection molding
T
Terrorism Financing	Addressing Self-Sustainability in Multi-Agent Systems through Combating Terrorism Financing
text mining	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
time series	Studying the impact of sampling in highly frequent time series
time series data	Advancements in synthetic data extraction for industrial injection molding
Time series regression modeling	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
TinyML
Tool wear monitoring	Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning
Topic Channel	A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
Topic Model	Clustering Massive, Noisy, and Unstructured Textual Streams
Trajectory analysis	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Transcriptomics	Multi-omics data integration and network inference for biomarker discovery in glioma
Transfer Learning	Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning
Transformer	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
transformers	Source-Code Generation using Deep Learning: A Survey Symbolic music generation conditioned on continuous-valued emotions
transparency	An IoT-Based Framework for Sustainable Supply Chain Management System
Transport Systems	An Ethical Perspective on Intelligent Transport Systems
Transportation	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Trust Management Systems	Using Artificial Intelligence for Trust Management Systems in Fog Computing
Trustworthy AI	Navigating the landscape of AI ethics and responsibility
Tweeter	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Twinning	Digital Twins: Benefits, Applications and Development Process
Twitter	Tweet2Story: Extracting Narratives From Twitter
Two-Sided Markets	Safety, Stability, and Efficiency of Taxi Rides
U
Unsupervised Learning	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
V
Vehicle-Specific Power	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
vibration analysis	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Vision Transformer	Vision Transformers applied to Indoor Room Classification
Visual culture art education
W
Wolof	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
X
XAI	Interpreting What Is Important: An Explainability Approach And Study On Feature Selection

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