Progress in Artificial Intelligence

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.