Intelligent Data Engineering and Automated Learning – IDEAL 2024

.- A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-Frame Analysis.
.- Smart Sign Language Decoder.
.- Hotel's Price Prediction Based on Country Specific Data.
.- New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques.
.- An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes.
.- Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study.
.- LeakG3PD: a Python generator and simulated Water Distribution System dataset.
.- Providing Informative Feedback in a Low-Cost Rehabilitation System using Machine Learning.
.- Noise tolerance and robustness ranking in Machine Learning models.
.- A supervised clustering approach to detect similar soccer players.
.- Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple Travelling Salesman Problem Approach.
.- Using Data Augmentation For Improving Text Summarization.
.- Special Session on Predictive and Prescriptive Models for Smart Cities' Applications.
.- Sustainable demand-responsive transportation: A case study in rural Guimarães.
.- CLARA: Semi-Automatic Retraining System.
.- A grid-based approach for ambulance dispatch in critical emergencies within static systems.
Optimizing vehicle coordination at multi-lane intersections using traffic control algorithms.
.- Optimizing Pedestrian Paths to Minimize Exposure to Urban Pollution Through Traffic Data Analysis.
.- Optimizing UCO Container Placement in Urb. Envs: A GA Approach.
.- Special Session on Computational intelligence on Renewable Energies and Sustainable Automation.
.- Data analysis and anomaly detection in a wind farm with k-Nearest Neighbors.
.- Development of a Database for Convolutional Neural Networks Simulating CFD Analysis.
.- Special Session on Example-based Explainable Artificial Intelligence.
Entity Examples for Explainable Query Target Type Identification with LLMs..
Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification
.- Special Session on Explainability and Fairness in Decision Support.
.- Evaluative Customized Naïve Associative Classifier: promoting equity in AI for the selection and promotion of human resources.
Clustering of Serious Game Traces using Formal Concept Analysis.
LORE4GroupRS: Explaining group recommendations supported by a local rule-based approach.
.- Special Session on Federated Learning, Intelligent Fusion and Applications (FLIFA)
.- Comparing MAE and RMSE as fitness of Genetic Algorithm for optimizing Echo State Network hyperparameters with different probabilistic distributions.
.- Federated Learning with Discriminative Naive Bayes Classifier.
.- Advances in Home Care and Real-Time Vital Signs Monitoring.
.- Exploring Data Symbion EI deep learning and model sharing modules.
.- A New Dataset for Analyzing Battery Failures in Wheelchairs.
.- A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection.
.- Multi-Layered Asynchronous Consensus-based Federated Learning (MACoL).
.- .- Comparative study of Federated Learning algorithms based on SPADE agents.
.- Robotic Precision Fitness: Accurate Pose Training for Elderly Rehabilitation.
.- Special Session on Quantum Computing for Machine Learning and Optimization (Q4ML-Opt).
.- Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?.
.- QUBO Optimization of Electrical Grid Topologies.
.-Special Session on Anomaly Detection with Machine Learning.
.- Indecision-aware Deep Active Anomaly Detection.
.- Special Session on Developing AI Curricula for Pre-University Education.
.- Educational management as an ensure of high-quality standards, focused on the added value of a public university.
.- Identification of Areas for Improvement in Digital Pedagogical Competencies through Information Technologies, Communication, and Artificial Intelligence: An Innovative Approach in Teacher Training.
.- What Students Should Learn and Teachers Must Know about Artificial Intelligence.
.- Simplification of Image Segmentation and Object Detection Teaching Materials.
.- Educational Computer Vision Materials for Classification and Tracking of Objects.
.- Starting point in the introduction of AI in VET: Analysis and proposals in Spain.
.- Advancing Robotics Education: Integrating Large Language Models for Natural Language .- Programming in VET.
.- A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in .- Middle Education.
.- Special Session on Data Selection in Machine Learning (6th Edition).
.- Data Mining In Credit Card Approval: Feature Importance as a Comparison.
.- Special Session on Computational Intelligence for Imbalanced Classification.
.- 2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI.