A Comparison of Automated Machine Learning tools for Predicting Energy Building Consumption in Smart Cities (abstract)

Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis (abstract)

Hybrid SkipAwareRec: A Streaming Music Recommendation System (abstract)

Mining Causal Links Between TV Sports Content and Real-World Data (abstract)

Imbalanced Regression Evaluation under Uncertain Domain Preferences (abstract)

Measuring latency-accuracy trade-offs in Convolutional Neural Networks (abstract)

Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School (abstract)

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 (abstract)

A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes (abstract)

A System for Animal Health Monitoring and Emotions Detection (abstract)

Segmentation as a pre-processing for automatic grape moths detection (abstract)

Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast (abstract)

Can the segmentation improve the grape varieties' identification through images acquired on-field? (abstract)

Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations (abstract)

Enhancing Pest Detection Models through Improved Annotations (abstract)

Sound-based Anomalies Detection in Agricultural Robotics Application (abstract)

Time-series pattern verification in CNC machining data (abstract)

Analysis of Dam Natural Frequencies Using a Convolutional Neural Network (abstract)

Studying the impact of sampling in highly frequent time series (abstract)

Interpreting What Is Important: An Explainability Approach And Study On Feature Selection (abstract)

An Ethical Perspective on Intelligent Transport Systems (abstract)

Improving Address Matching using Siamese Transformer Networks (abstract)

Safety, Stability, and Efficiency of Taxi Rides (abstract)

Using CDR Data to Understand Post-Pandemic Mobility Patterns (abstract)

Using Artificial Intelligence for Trust Management Systems in Fog Computing (abstract)

Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE visualization of Tree Species (abstract)

Depression Detection for Twitter Users using Machine Learning Sentiment Analysis (abstract)

Source-Code Generation using Deep Learning: A Survey (abstract)

An IoT-Based Framework for Sustainable Supply Chain Management System (abstract)

Emotional state classification from brain signals using CNNs adapted for fMRI signal properties (abstract)

Learning Postoperative Pain through Physiological Signals (abstract)

Electrocardiogram for Biometric Recognition: Collectability, Stability and Application Challenges (abstract)

Clustering Massive, Noisy, and Unstructured Textual Streams (abstract)

Data Quality, Data Balance and Data Documentation: a framework (abstract)

Estimating the Density Ratio with a ReLU Induced Tessellation (abstract)

A Semantic Search System for the Supremo Tribunal de Justiça (abstract)

Addressing Self-Sustainability in Multi-Agent Systems through Combating Terrorism Financing (abstract)

Data Leakage Detection and Data Denoising using Causal Mechanisms for Recommender Systems (abstract)

Can we hold AGI-enabled Robot Morally Responsible for their Actions? (abstract)

Symbolic music generation conditioned on continuous-valued emotions (abstract)

Human + non-human creative identities. Symbiotic synthesis in industrial design creative processes. (abstract)

Erato: Automatizing Poetry Evaluation (abstract)

Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset (abstract)

A Path to Generative Artificial Selves (abstract)

Creativity, intentions, and self-narratives: Can AI really be creative? (abstract)

Does ChatGPT Pass the Brazilian Bar Exam? (abstract)

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents (abstract)

Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance (abstract)

LeSSE - A Semantic Search Engine applied to Portuguese Consumer Law (abstract)

A Semantic Search System for the Supremo Tribunal de Justiça (abstract)

The AI Act meets General Purpose AI: the good, the bad and the uncertain (abstract)

Evolving Urban Landscapes (abstract)

AIGenC: AI Generalisation via Creativity (abstract)

Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning (abstract)

Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-Discharge Complications in Cardiothoracic Surgery (abstract)

Deep learning survival model to predict atrial fibrillation from ECGs and EHR data (abstract)

Multi-omics data integration and network inference for biomarker discovery in glioma (abstract)

A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics (abstract)

Navigating the landscape of AI ethics and responsibility (abstract)

Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation (abstract)

A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results (abstract)

Towards Interpretability in Fintech Applications via Knowledge Augmentation (abstract)

Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques (abstract)

Combining neighbor models to improve predictions for ATTRv (abstract)

Leveraging TFR-BERT for ICD Diagnoses Ranking (abstract)

AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture (abstract)

Tool Wear Monitoring Using Multi-Sensor Time Series and Machine Learning (abstract)

Vision Transformers applied to Indoor Room Classification (abstract)

Advancements in synthetic data extraction for industrial injection molding (abstract)

Using Deep Learning for Building Stock Classification in Seismic Risk Analysis (abstract)

Digital Twins: Benefits, Applications and Development Process (abstract)

Data Mining Models to predict parking lot availability (abstract)

Event Extraction for Portuguese: A QA-driven Approach using ACE-2005 (abstract)

Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks (abstract)

Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning (abstract)

Advancing Neural Encoding of Portuguese with Transformer Albertina PT-* (abstract)

OSPT: European Portuguese Paraphrastic Dataset with Machine Translation (abstract)

Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions (abstract)

Vocalization Features to Recognize Small Dolphin Species for Limited Datasets (abstract)

Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo (abstract)

Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning (abstract)

Multi-Robot Adaptive Sampling for Supervised Spatiotemporal Forecasting (abstract)

Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance (abstract)

A Review on Quadruped Manipulators (abstract)

Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector (abstract)

Leveraging Symbolic and Deep Learning Techniques for Explainable Sentiment Analysis (abstract)

Tweet2Story: Extracting Narratives From Twitter (abstract)

Task Conditioned BERT for Joint Intent Detection and Slot-filling (abstract)

Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation (abstract)

Revisiting Deep Attention Recurrent Networks (abstract)

DyPrune: Dynamic pruning rates for neural networks (abstract)

Rule-based system for intelligent energy management in buildings (abstract)

A novel federated learning approach to enable distributed and collaborative genetic programming (abstract)

A Scoping Review of Energy Load Disaggregation (abstract)

Production Scheduling for Total Energy Cost and Machine Longevity Optimization through a Genetic Algorithm (abstract)

Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs (abstract)

Heuristic Search Optimisation using Planning and Curriculum Learning Techniques (abstract)

Review of Agent-Based Evacuation Models in Python (abstract)