Advances in Computational Intelligence. MICAI 2024 International Workshops

Advances in Computational Intelligence. MICAI 2024 International Workshops

HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part II

Ochoa-Ruiz, Gilberto; Martinez-Villasenor, Lourdes; Montes Rivera, Martin; Acosta-Mesa, Hector Gabriel; Barron-Estrada, Maria Lucia

Springer International Publishing AG

03/2025

202

Mole

9783031838811

15 a 20 dias

Descrição não disponível.
.- 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 A?ected 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.
Artificial intelligence;knowledge representation and reasoning;planning and scheduling;control methods;philosophical/theoretical foundations of artificial intelligence;computer vision;machine learning;symbolic and algebraic manipulation;simulation theory;robots;evolutionary computation;intelligent systems;natural language processing;bioinformatics;medical applications using AI