Advances in Artificial Intelligence - IBERAMIA 2024

AI Engineering & Applications.- Adjusting Convolution Blocks of U-Net to Improve Sugarcane Crop Line Segmentation.- Mapping Motion: A Cognitive Approach to Dyspraxia Multimodal Analysis.- Improving Assembly Lines with Digital Twins: A Synthetic Case Study.- Peak Ground Acceleration Prediction for Earthquake Early Warning with Multivariable Long Short-Term Memory Networks and Temporal Transformers.- Green Security Along Trails.- Identification of dating violence with Machine Learning algorithms: analysis and results.- Capturing the Essence of Plankton: A Gradient-weighted Class Activation Mapping Analysis.- Agent-Based Model and Machine Learning for the Analysis of Barter Regulated by Lotka-Volterra Equations.- A Geometric Attention Mechanism to Classify Parkinsonism Smooth Pursuit Patterns.- A Mixed Audio-video SPD Network for Online Classification of Parkinsonian Speech Patterns.- Transformers for Genomic Prediction.- AI-assisted bronchoscopy in the intensive care unit: Corpus development and an application to anatomic position identification.- Bio-inspired & Soft Computing.- Evaluation of Mares Uterine Health based on Endometrial Biopsies using Image Processing and Machine Learning Techniques.- Computer Vision & Robotics.- X-COVNet: Externally Validated Model for Computer-Aided Diagnosis of Pneumonia-Like Lung Diseases in Chest X-Rays.- Fairtrees: A Deep Learning Approach for Identifying Deforestation on Satellite Images.- Ensembling Convolutional Neural Networks for Human Skin Segmentation.- Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation.- Visual SLAM in Underground Environments: Preliminary Results.- Sound-based Parakeets Detection System.- Knowledge Representation & Reasoning.- AI-based Medical Education: Coping with Clinical Decisions in GLARE-Edu.- Generating Contrastive Explanations from Gradual Semantics Ranking.- Automatic Classification of Secondary and High School Students Dropout Risk via Knowledge Graphs and Machine Learning.- Machine Learning.- Semi-Supervised Hierarchical Bayesian Multi-label Classification.- Advancing Photovoltaic Forecasting with Neural Networks: Integrating N-Beats and Sequential Models with Fourier Analysis.- Efficiency of the Transformer Model in Time Series Forecasting: A Case Study in Wastewater Treatment Plants.- Bayesian Regularized Iterative Soft Thresholding Algorithm.- Performance Evaluation of Data Analysis Techniques in Dry Bean Seed Classification Using kNN and MLP.-Integrating Convolutional Neural Networks and Omics to Promote Precision Medicine in Atopic Dermatitis.- Multi Agent Systems.- Reliability Analysis of Organization-based Multiagent System Designs.- Emotions Identification in Exchanges of Messages between Agents.- Explaining Task Delegation Through Argumentation Debates with Votes.- Natural Language Processing.- Te Ahorré Un Click: A Revised Definition of Clickbait and Detection in Spanish News.- Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue.- Derivation Prompting: A Logic-Based Method for Improving Retrieval-Augmented Generation.- Information Extraction from Electronic Health Records written in Spanish for Epidemic Intelligence.- Social AI.- From AI Act to Public-Private-People Partnerships: Building AI as a Global Public Good.- Assessing AI's Persuasive Power: Can an AI Agent Influence Belief in News?