EPIA2023: 22ND EPIA CONFERENCE ON ARTIFICIAL INTELLIGENCE

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Abdel Rahman, Mohamed	Using Artificial Intelligence for Trust Management Systems in Fog Computing
Abdelhamid, Yasser	Source-Code Generation using Deep Learning: A Survey
Agirrezabal, Manex	Erato: Automatizing Poetry Evaluation
Agostinho, Daniel	Emotional state classification from brain signals using CNNs adapted for fMRI signal properties
Ahmed, Areeg	Source-Code Generation using Deep Learning: A Survey
Albuquerque, Hidelberg O.	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
Alegre, André	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Aleksandrov, Martin	Safety, Stability, and Efficiency of Taxi Rides
Ali, Muhammad	An IoT-Based Framework for Sustainable Supply Chain Management System
Alonso, Eduardo	AIGenC: AI Generalisation via Creativity
Alves, Ana	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Alves, António	Time-series pattern verification in CNC machining data
Andrade, Cesar	Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions Clustering Massive, Noisy, and Unstructured Textual Streams
Andrade, Thiago	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Antonov, Nikolai	Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs
Antunes, Luís	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
Aslam, Zaheer	An IoT-Based Framework for Sustainable Supply Chain Management System
Atkinson, Colin	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
Ayub, Nasir	An IoT-Based Framework for Sustainable Supply Chain Management System
Azab, Shahira	Source-Code Generation using Deep Learning: A Survey
Azevedo, Pedro	Task Conditioned BERT for Joint Intent Detection and Slot-filling
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Bach, Joscha	A Path to Generative Artificial Selves
Baghcheband, Hajar	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
Baghoussi, Yassine	Interpreting What Is Important: An Explainability Approach And Study On Feature Selection
Baião, Ana Rita	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Baj, Giovanni	Deep learning survival model to predict atrial fibrillation from ECGs and EHR data
Balsa, João	Addressing Self-Sustainability in Multi-Agent Systems through Combating Terrorism Financing
Baltazar, André	Sound-based Anomalies Detection in Agricultural Robotics Application
Barbati, Giulia	Deep learning survival model to predict atrial fibrillation from ECGs and EHR data
Barbosa, Agostinho	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Bellas, Francisco	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Bento, Carlos	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Bielenberg, Christian	Advancements in synthetic data extraction for industrial injection molding
Biloborodova, Tetiana	Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
Boaventura Cunha, José	Sound-based Anomalies Detection in Agricultural Robotics Application
Boné, João	Leveraging TFR-BERT for ICD Diagnoses Ranking
Bortolussi, Luca	Deep learning survival model to predict atrial fibrillation from ECGs and EHR data
Branco, António	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Brazdil, Pavel	Leveraging Symbolic and Deep Learning Techniques for Explainable Sentiment Analysis
Brosnan, Bríd	Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
Brás, Susana	Learning Postoperative Pain through Physiological Signals
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Cabaço, Gonçalo	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Calleo, Alberto	Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes.
Campos, Ricardo	Event Extraction for Portuguese: A QA-driven Approach using ACE-2005 Tweet2Story: Extracting Narratives From Twitter
Campos, Vasco	Tweet2Story: Extracting Narratives From Twitter
Cardoso, Henrique Lopes	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-* OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
Carneiro, Gabriel	Segmentation as a pre-processing for automatic grape moths detection Can the segmentation improve the grape varieties' identification through images acquired on-field?
Carrino, Stefano	Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning
Carvalho, Alexandra M.	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Carvalho, André C.P.L.F. de	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
Carvalho, Tânia	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
Castelo-Branco, Miguel	Emotional state classification from brain signals using CNNs adapted for fMRI signal properties
Cataneo Silveira, Igor	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Catarau-Cotutiu, Corina	AIGenC: AI Generalisation via Creativity
Cavaco, Sofia	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Cerveira Do Amaral, Filipe	Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
Chakrabarty, Dalia	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
Chaves, Pedro	Leveraging TFR-BERT for ICD Diagnoses Ranking
Cheema, Sehrish Munawar	An IoT-Based Framework for Sustainable Supply Chain Management System
Chrestien, Leah	Heuristic Search Optimisation using Planning and Curriculum Learning Techniques
Ciani Sciolla, Jacopo	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
Coelho, Paulo Jorge	An IoT-Based Framework for Sustainable Supply Chain Management System
Coelho, Pedro	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Coelho, Teresa	Combining neighbor models to improve predictions for ATTRv
Coletti, Roberta	Multi-omics data integration and network inference for biomarker discovery in glioma
Conceição, Raquel	Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges
Cordeiro, Nuno	LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law
Cortez, Paulo	A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities
Costa, Dinis	Enhancing Pest Detection Models through Improved Annotations
Costa, Joana	Enhancing Pest Detection Models through Improved Annotations
Costa, Margarida	Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems
Costa, Nuno	Imbalanced Regression Evaluation under Uncertain Domain Preferences
Costa, Pedro Reis	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Cotofrei, Paul	Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning
Cozman, Fabio	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Crista, Vítor	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
Crompton, Helen	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Cunha, António	Segmentation as a pre-processing for automatic grape moths detection Can the segmentation improve the grape varieties' identification through images acquired on-field?
Cunha, João Miguel	Evolving Urban Landscapes
Cunha, Luís Filipe	Event Extraction for Portuguese: A QA-driven Approach using ACE-2005
Curioso, Isabel	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
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da Silva, Daniel Queirós	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
Dahroug, Ahmed	Using Artificial Intelligence for Trust Management Systems in Fog Computing
De Martin, Juan Carlos	Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation
Delmoral, Jessica	Mining Causal Links Between TV Sports Content and Real-World Data
Deratani Mauá, Denis	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Diallo, Moussa	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
Dias, João	LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law A Semantic Search System for the Supremo Tribunal de Justiça A Semantic Search System for the Supremo Tribunal de Justiça
Dreyer, Jonathan	Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning
Duarte, André	Improving Address Matching using Siamese Transformer Networks
Duarte, Fernando	Revisiting Deep Attention Recurrent Networks
Duraes, Dalila	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
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Edelkamp, Stefan	Heuristic Search Optimisation using Planning and Curriculum Learning Techniques
Esteves, Bernardo	Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning
Estima, Jacinto	Navigating the landscape of AI ethics and responsibility
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Fajarda, Olga	DyPrune: Dynamic pruning rates for neural networks
Faria, Pedro	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Faria, Tiago	Towards Interpretability in Fintech Applications via Knowledge Augmentation
Fernandes, Carlos	Data Mining Models to predict parking lot availability
Ferreira, Paulo J.S.	Studying the impact of sampling in highly frequent time series
Ferreira, Rui D.	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Filipe, Vítor	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
Fragata, José	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Freitas, Alberto	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
Freitas, Luís	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Freitas, Pedro	Does ChatGPT Pass the Brazilian Bar Exam? The AI Act meets General Purpose AI: the good, the bad and the uncertain
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Gabora, Liane	A Path to Generative Artificial Selves
Gama, João	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions
Gamechi, Zahra	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
Ghorbel, Hatem	Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning
Giannuzzo, Anaïs	Creativity, intentions, and self-narratives: Can AI really be creative?
Gomes, Luis	Rule-based system for intelligent energy management in buildings A novel federated learning approach to enable distributed and collaborative genetic programming
Gomes, Luís	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Gonçalo Oliveira, Hugo	Erato: Automatizing Poetry Evaluation
Gonçalves, Carlos	A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities
Gouveia, Feliz	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Grilo, António	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Guede-Fernández, Federico	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Guerreiro, Maria João	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Guerreiro-Santalla, Sara	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Guimarães, Tiago	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
H
Helmy, Abdelmoniem	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Hluchy, Ladislav	Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species
Hussain, Mubarak	Can we hold AGI-enabled Robot Morally Responsible for their Actions?
J
Janda, Josef	Review of Agent-Based Evacuation Models in Python
Janota, Mikoláš	Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs
Jonker, Richard	DyPrune: Dynamic pruning rates for neural networks
Jorge, Alípio	Event Extraction for Portuguese: A QA-driven Approach using ACE-2005 Combining neighbor models to improve predictions for ATTRv Leveraging Symbolic and Deep Learning Techniques for Explainable Sentiment Analysis Tweet2Story: Extracting Narratives From Twitter
Jozi, Aria	Rule-based system for intelligent energy management in buildings
Jørgensen, Bo Nørregaard	Digital Twins: Benefits, Applications and Development Process A Scoping Review of Energy Load Disaggregation
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Kailas, Siva	Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
Karakaya, Ziya	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
Kessel, Marcus	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
Kimura, Risa	A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
Kokkinogenis, Zafeiris	An Ethical Perspective on Intelligent Transport Systems
Komenda, Antonín	Heuristic Search Optimisation using Planning and Curriculum Learning Techniques
Krammer, Peter	Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species
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Labarta, Tobias	Safety, Stability, and Efficiency of Taxi Rides
Lambert, Marian	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
Lau, Nuno	Revisiting Deep Attention Recurrent Networks
Lewandowski, Michal	Estimating the Density Ratio with a ReLU Induced Tessellation
Lobo, Afonso	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Londral, Ana	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Lopes, Jorge	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Lopes, João	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Lopes, Maria	A Review on Quadruped Manipulators
Lopes, Marta	Multi-omics data integration and network inference for biomarker discovery in glioma
Lopes, Marta B.	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Lopes, Rui	DyPrune: Dynamic pruning rates for neural networks
Luo, Wenhao	Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
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Ma, Zheng	Digital Twins: Benefits, Applications and Development Process A Scoping Review of Energy Load Disaggregation
Machado, José	AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
Macêdo, David	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
Magalhaes, Joao	Task Conditioned BERT for Joint Intent Detection and Slot-filling
Maia, Maria João	A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results
Makiya, David	Addressing Self-Sustainability in Multi-Agent Systems through Combating Terrorism Financing
Manso, João	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Marcelino, João	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Marques, Nuno C.	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Marreiros, Goreti	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 Rule-based system for intelligent energy management in buildings
Martinho, Diogo	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
Martins, Bruno	Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
Martins, Pedro	Evolving Urban Landscapes
Martins, Tiago	Evolving Urban Landscapes
Matos, Sérgio	DyPrune: Dynamic pruning rates for neural networks
Mbaye, Derguene	Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
Melo, Duarte	Mining Causal Links Between TV Sports Content and Real-World Data
Melo, Francisco S.	Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning
Melo, Rui	A Semantic Search System for the Supremo Tribunal de Justiça A Semantic Search System for the Supremo Tribunal de Justiça
Mendes Gomes, Luis	Does ChatGPT Pass the Brazilian Bar Exam? AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
Mendes Moreira, João	Combining neighbor models to improve predictions for ATTRv Studying the impact of sampling in highly frequent time series Interpreting What Is Important: An Explainability Approach And Study On Feature Selection
Mikulecky, Peter	A System for Animal Health Monitoring and Emotions Detection
Mondragón, Esther	AIGenC: AI Generalisation via Creativity
Moniz, Nuno	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics Imbalanced Regression Evaluation under Uncertain Domain Preferences
Montenegro, Larissa	AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
Morais, Raul	Segmentation as a pre-processing for automatic grape moths detection Can the segmentation improve the grape varieties' identification through images acquired on-field?
Moreira, Antonio P.	A Review on Quadruped Manipulators Sound-based Anomalies Detection in Agricultural Robotics Application
Moreira, Nídia	The AI Act meets General Purpose AI: the good, the bad and the uncertain
Mota, Bruno	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Moussa, Sherin	Using Artificial Intelligence for Trust Management Systems in Fog Computing
Muhammad, Shamsuddeen Hassan	Leveraging Symbolic and Deep Learning Techniques for Explainable Sentiment Analysis
Murta, Rafael	Evolving Urban Landscapes
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Nakajima, Tatsuo	A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
Nassar, Radwa	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Naz, Ammerha	An IoT-Based Framework for Sustainable Supply Chain Management System
Neves, José	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
Nogueira, Ana	Time-series pattern verification in CNC machining data
Novais, Paulo	Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School 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 Leveraging TFR-BERT for ICD Diagnoses Ranking The AI Act meets General Purpose AI: the good, the bad and the uncertain
O
Obermeier, Katharina	Advancements in synthetic data extraction for industrial injection molding
Oliveira, Adriano L.I.	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
Oliveira, Arlindo	Improving Address Matching using Siamese Transformer Networks
Oliveira, José	DyPrune: Dynamic pruning rates for neural networks
Oliveira, Lino	Hybrid SkipAwareRec: A Streaming Music Recommendation System Measuring latency-accuracy trade-offs in Convolutional Neural Networks
Oliveira, Pedro	Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset
Oliveira, Sérgio	Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
Oliveira, Tiago	Leveraging TFR-BERT for ICD Diagnoses Ranking
Ormazabal, Aitor	Erato: Automatizing Poetry Evaluation
Osório, Tomás	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
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P. Ribeiro, Rita	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions
Pais, Daniela	Learning Postoperative Pain through Physiological Signals
Pajorova, Eva	Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species
Paseri, Ludovica	Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance
Pedroto, Maria	Combining neighbor models to improve predictions for ATTRv
Peixoto, Carolina	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Peixoto, Hugo	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Pereira, Artur	Revisiting Deep Attention Recurrent Networks
Pereira, Pedro José	A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities
Pereira, Teresa	Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges
Pevny, Tomas	Heuristic Search Optimisation using Planning and Curriculum Learning Techniques
Pinto, H. Sofia	Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
Pinto, José	Time-series pattern verification in CNC machining data
Pinto, Tiago	Vision Transformers applied to Indoor Room Classification Rule-based system for intelligent energy management in buildings
Pires, Ivan Miguel	An IoT-Based Framework for Sustainable Supply Chain Management System
Pirozelli, Paulo	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Portela, Filipe	Data Mining Models to predict parking lot availability
Poudel, Roshan	DyPrune: Dynamic pruning rates for neural networks
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Ramdan, Nagy	Depression Detection for Twitter Users using Machine Learning Sentiment Analysis
Ramos, Carlos	Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm
Ramos, Carlos	Vision Transformers applied to Indoor Room Classification
Ramos, Rui Jorge	Hybrid SkipAwareRec: A Streaming Music Recommendation System
Rebelo, Sérgio	Evolving Urban Landscapes
Reis, Luis Paulo	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance Using Deep Learning for Building Stock Classification in Seismic Risk Analysis Revisiting Deep Attention Recurrent Networks
Ribeiro, Bernardete	Enhancing Pest Detection Models through Improved Annotations Towards Interpretability in Fintech Applications via Knowledge Augmentation
Ribeiro, Bruno	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Ribeiro, Bruno	A novel federated learning approach to enable distributed and collaborative genetic programming
Ribeiro da Costa, António	An Ethical Perspective on Intelligent Transport Systems
Rijo, Sara	Leveraging TFR-BERT for ICD Diagnoses Ranking
Rocha, Victor Hugo	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Rodrigues, Arlete	Studying the impact of sampling in highly frequent time series
Rodrigues, Beatriz	Data Mining Models to predict parking lot availability
Rodrigues, Cláudia	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Rodrigues, Eduardo M.	Interpreting What Is Important: An Explainability Approach And Study On Feature Selection
Rodrigues, João António	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Rodrigues, Tiago Ferreira	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
Rondina, Marco	Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation Data Quality, Data Balance and Data Documentation: a framework
Rosato, Ludovica	Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes.
Rossetti, Rosaldo	An Ethical Perspective on Intelligent Transport Systems
Rosário, Luis	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Rottenwalter, Georg	Advancements in synthetic data extraction for industrial injection molding
Roy, Gargi	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
Rupino da Cunha, Paulo	Navigating the landscape of AI ethics and responsibility
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S. Moreira, Rui	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Santos, Filipe	A Review on Quadruped Manipulators Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations Sound-based Anomalies Detection in Agricultural Robotics Application
Santos, Jorge	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Santos, Jorge	Evolving Urban Landscapes
Santos, Manuel	Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques
Santos, Pedro A.	LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law A Semantic Search System for the Supremo Tribunal de Justiça A Semantic Search System for the Supremo Tribunal de Justiça
Santos, Ricardo	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Santos, Rodrigo	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Satoh, Ichiro	A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
Scagnetto, Arjuna	Deep learning survival model to predict atrial fibrillation from ECGs and EHR data
Schuster, Thomas	Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation
Sebastião, Raquel	Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges Learning Postoperative Pain through Physiological Signals
Sec, David	A System for Animal Health Monitoring and Emotions Detection
Semedo, David	Task Conditioned BERT for Joint Intent Detection and Slot-filling
Sencadas, Vitor	Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges
Shaji, Nirbhaya	Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis
Silva, Ana	Leveraging TFR-BERT for ICD Diagnoses Ranking
Silva, Catarina	Enhancing Pest Detection Models through Improved Annotations Towards Interpretability in Fintech Applications via Knowledge Augmentation
Silva, Joaquim	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Silva, João	Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
Silva, João Miguel	Time-series pattern verification in CNC machining data
Silva, Manuel	A Review on Quadruped Manipulators
Silva, Nádia F. F. da	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
Silva, Vítor	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Simões, Marco	Emotional state classification from brain signals using CNNs adapted for fMRI signal properties
Skarga-Bandurova, Inna	Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
Soares, Carlos	Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
Soares, Daniela	A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities
Soares, Salviano	Sound-based Anomalies Detection in Agricultural Robotics Application
Sousa, Afonso	OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
Sousa, Armando Jorge	Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
Sousa, Inês	Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery
Sousa, Joaquim J.	Segmentation as a pre-processing for automatic grape moths detection Can the segmentation improve the grape varieties' identification through images acquired on-field?
Sousa, Ricardo	Time-series pattern verification in CNC machining data
Sousa, Ricardo	Task Conditioned BERT for Joint Intent Detection and Slot-filling
Souza, Ellen	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
Strauss, Daniel J.	Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
Sulun, Serkan	Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset Symbolic music generation conditioned on continuous-valued emotions
Sycara, Katia	Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
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Tavares, Diogo	Task Conditioned BERT for Joint Intent Detection and Slot-filling
Teixeira, Ana Cláudia	Segmentation as a pre-processing for automatic grape moths detection
Teixeira, Ruben	Vision Transformers applied to Indoor Room Classification
Texeira, Ana Cláudia	Can the segmentation improve the grape varieties' identification through images acquired on-field?
Tilly, Marcel	Advancements in synthetic data extraction for industrial injection molding
Tolnai, Balázs András	A Scoping Review of Energy Load Disaggregation
Torres, José	Using Deep Learning for Building Stock Classification in Seismic Risk Analysis
Tse, André	Measuring latency-accuracy trade-offs in Convolutional Neural Networks
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Vale, Zita	Rule-based system for intelligent energy management in buildings A novel federated learning approach to enable distributed and collaborative genetic programming
Vasco, Miguel	Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning
Veiga, Bruno	Vision Transformers applied to Indoor Room Classification
Veloso, Marco	Using CDR Data to Understand Post-Pandemic Mobility Patterns
Verbogh, Philippe	Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
Vetrò, Antonio	Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation
Viana, Paula	Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset
Vinagre, João	Hybrid SkipAwareRec: A Streaming Music Recommendation System Mining Causal Links Between TV Sports Content and Real-World Data Measuring latency-accuracy trade-offs in Convolutional Neural Networks
Vinga, Susana	Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Vitório, Douglas	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
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Warrior, Kane	Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo
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Zanchettin, Cleber	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents
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Ávalos, Manuel	Learning Postoperative Pain through Physiological Signals
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Štekerová, Kamila	Review of Agent-Based Evacuation Models in Python
Šůcha, Přemysl	Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs

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