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ORCID22nd MICAI 2024: Tonantzintla, Mexico - Workshops Part II
- Lourdes Martínez-Villaseñor
, Gilberto Ochoa-Ruiz, Martín Montes Rivera, María Lucía Barrón-Estrada, Héctor-Gabriel Acosta-Mesa:
Advances in Computational Intelligence. MICAI 2024 International Workshops - HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15465, Springer 2025, ISBN 978-3-031-83881-1
WILE 2024
- Christian Sánchez-Sánchez:
Expert System for Teaching Classification Systems Workflow. 3-14 - Maximiliano Ponce Marquez, Samuel González López, Jesús Raúl Cruz Rentería, Gilberto Borrego Soto, Manuel Omar Meranza-Castillón, Guillermina Muñoz-Zamora:
Enhancing Student Theses with Advanced Text Analysis Using NLP and Pre-trained Models. 15-24 - Rafael Morales, Luis Enrique Sucar:
Competence-Based Student Modelling with Dynamic Bayesian Networks. 25-36 - José Miguel Gil-Núñez, María-Blanca Ibáñez-Espiga, Ramón Zataraín-Cabada, María Lucía Barrón-Estrada:
XploRe: XR Tool for Learning About the Solar System and Its Physical Phenomena. 37-44 - Luis Romero-Ramos, Juan Gabriel González Serna, Máximo López Sánchez, Nimrod González-Franco, Blanca Dina Valenzuela Robles:
Emotion Recognition in Virtual Reality Learning Environments: A Multimodal Machine Learning Approach. 45-52 - Daniel Domínguez-Gómez, Eduardo Sánchez-Jiménez, Yasmín Hernández, Juan de Dios González Torres, Javier Ortiz Hernández:
Enhancing Dropout Prediction Models Through Feature Selection Techniques. 53-60 - Jesús Miguel García Gorrostieta, Samuel González López, Aurelio López-López, Ulises Ponce-Mendoza, José David Madrid Monteverde:
Assessing Cognitive Load in Programming Exercises Based on Readability and Lexical Richness. 61-70
CIAPP 2024
- Carlos Minutti-Martinez, Miguel Félix Mata-Rivera, Magali Arellano-Vázquez, Boris Escalante-Ramírez, Jimena Olveres:
Air Pollution, Socioeconomic Status, and Avoidable Hospitalizations in Mexico City: A Multifaceted Analysis. 73-86 - Adrián Núñez-Vieyra, Rogelio Ferreira Escutia, Juan Carlos Olivares Rojas, Arturo Méndez Patiño, José Antonio Gutiérrez Gnecchi, Enrique Reyes-Archundia:
Automatic Detection of Abnormal Pedestrian Flows, Using Classification and Tracking with Pre-trained YOLOv8. 87-98 - Adriana Laura López-Lobato, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes:
Computational Time Reduction in the Induction of Convolutional Decision Trees. 99-111 - Adriana Laura López-Lobato, Martha Lorena Avendaño-Garrido, Héctor-Gabriel Acosta-Mesa, José-Luis Morales-Reyes, Elia-Nora Aquino-Bolaños:
Bean Landraces Color Identification Through Image Analysis and Gaussian Mixture Model. 112-124 - Jesús-Arnulfo Barradas-Palmeros, Carlos-Alberto López-Herrera, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes:
Efficient Neural Architecture Search: Computational Cost Reduction Mechanisms in DeepGA. 125-134 - Carlos-Alberto López-Herrera, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Jesús-Arnulfo Barradas-Palmeros:
Prediction of Epileptic Seizure Using Neuroevolved Spiking Neural Network. 135-146 - Atalia-Yael Hernández-Sánchez, Jorge Aramburo-Aguilar, Héctor-Gabriel Acosta-Mesa, Sergio Hernández-Méndez, Antonio Marín-Hernández:
Identification of Simple Geometric Figures Using Matlab and ROS. 147-154 - David Herrera-Sánchez, José Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes:
Experimental Study for Automatic Feature Construction to Segment Images of Lungs Affected by COVID-19 Using Genetic Programming. 155-166 - José-Luis Morales-Reyes, Elia-Nora Aquino-Bolaños, Héctor-Gabriel Acosta-Mesa:
Color Quantification in Common Bean Landraces Using a Supervised Learning Technique. 167-178 - Rafael Rivera-López, Juana Canul-Reich, Erick De-La-Cruz-Hernandez, Héctor Gibrán Ceballos-Cancino, Efrén Mezura-Montes, Marco Antonio Cruz-Chávez:
Explainable AI Through Decision Trees for Black-Box Models Used to Support Bacterial Vaginosis Diagnosis. 179-189 - L. Guevara, F. A. Castro-Espinoza, A. M. Fernandes, I. Nacarati-da-Silva, T. Oliveira, E. G. Salgado Hernández, J. C. Angeles-Hernadez:
Improving Lactation Curve Estimation in Sheep: A Comparative Analysis of Machine Learning Algorithms Across Milk Recording Schemes. 190-199
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