Advances in Computational Intelligence. MICAI 2024 International Workshops: HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 2125, 2024, Proceedings, Part II [Mīkstie vāki]

.- WILE
2024.


.- Expert System for Teaching Classification Systems Workflow.


.- Enhancing Student Theses with Advanced Text Analysis Using NLP and
Pre-Trained Models.


.- Competence-Based Student Modelling with Dynamic Bayesian Networks.


.- XploRe: XR tool for learning about the Solar System and its
physical phenomena.


.- Emotion Recognition in Virtual Reality Learning Environments: A Multimodal
Machine Learning Approach.


.- Enhancing Dropout Prediction Models Through Feature Selection Techniques.


.- Assessing Cognitive Load in Programming Exercises Based on Readability and
Lexical Richness.


.- CIAPP
2024.


.- Air Pollution, Socioeconomic Status, and Avoidable Hospitalizations
in Mexico City: A Multifaceted Analysis.


.- Automatic Detection of Abnormal Pedestrian Flows, Using Classification and
Tracking with Pre-Trained YOLOv8.


.- Computational time reduction in the induction of Convolutional Decision
Trees.


.- Bean landraces color identification through image analysis and Gaussian
Mixture Model.


.- Efficient Neural Architecture Search: Computational Cost Reduction
Mechanisms in DeepGA.


.- Prediction of epileptic seizure using neuroevolved spiking neural
network.


.- Identification of simple geometric figures using Matlab and ROS.


.- Experimental Study for Automatic Feature Construction to Segment Images of
Lungs Aected by COVID-19 Using Genetic Programming.


.- Color quantification in common bean landraces using a supervised learning
technique.


.- Explainable AI through Decision Trees for black-box models used to support
Bacterial Vaginosis Diagnosis.


.- Improving lactation curve estimation in sheep: A comparative analysis of
machine learning algorithms across multiple measurement systems.