Ambient Intelligence and Affective Environments: Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School -- Gamified CollectiveEyes: A Gamified Distributed Infrastructure for Collectively Sharing People's Eyes -- 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 -- A System for Animal Health Monitoring and Emotions Detection -- Ethics and Responsibility in Artificial Intelligence: A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics -- A Maturity Model for industries and organizations of all types to better adopt Responsible AI - preliminary results -- Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation -- Navigating the landscape of AI ethics and responsibility -- Towards Interpretability in Fintech Applications via Knowledge Augmentation -- General Artificial Intelligence: Revisiting Deep Attention Recurrent Networks -- Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning -- DyPrune: Dynamic pruning rates for neural networks -- Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation -- Vocalization Features to Recognize Small Dolphin Species for Limited Datasets -- Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo -- Intelligent Robotics: A Review on Quadruped Manipulators -- Knowledge Discovery and Business Intelligence: Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis -- Analysis of Dam Natural Frequencies Using a Convolutional Neural Network -- Imbalanced Regression Evaluation under Uncertain Domain Preferences -- Studying the impact of sampling in highly frequent time series -- Mining Causal Links Between TV Sports Content and Real-World Data -- Hybrid SkipAwareRec: A Streaming Music Recommendation System -- Interpreting What Is Important: An Explainability Approach And Study On Feature Selection -- Time-series pattern verification in CNC machining data -- Time-series pattern verification in CNC machining data -- Time-series pattern verification in CNC machining data -- Measuring latency-accuracy trade-offs in Convolutional Neural Networks -- MultiAgent Systems: Theory and Applications: Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance -- Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance -- Natural Language Processing, Text Mining and Applications: Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions -- Tweet2Story: Extracting Narratives From Twitter -- Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning -- Event Extraction for Portuguese: A QA-driven Approach using ACE-2005 -- Symbolic vs Deep Learning Techniques for Explainable Sentiment Analysis -- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks -- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks -- OSPT: European Portuguese Paraphrastic Dataset with Machine Translation -- Task Conditioned BERT for Joint Intent Detection and Slot-filling -- Planning, Scheduling and Decision-Making in AI: Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs -- Heuristic Search Optimisation using Planning and Curriculum Learning Techniques -- Social Simulation and Modelling: Review of Agent-Based Evacuation Models in Python.