E-raamat: Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part II

.- A Divide-and-Conquer Approach for Container License Plate Detection
Using Multi-Frame Analysis.

.- Smart Sign Language Decoder.

.- Hotels 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
Guimarćes.

.- 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 Naļve 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.