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
.- 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.
.- 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.