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23rd MICAI 2024: Tonantzintla, Mexico - Part I
- Lourdes Martínez-Villaseñor

, Gilberto Ochoa-Ruiz
:
Advances in Computational Intelligence - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15246, Springer 2025, ISBN 978-3-031-75539-2
Machine Learning
- Damian L. Gallegos Espinoza

, Luis Garnica Chavira
, Natalia Villanueva-Rosales
, Juan Manuel Rodríguez Gaeta, Carmen Julia Navarro Gómez:
Towards Estimating Water Consumption in Semi-arid Urban Landscaping: A Machine Learning Approach. 3-15 - Iván Díaz de León Rodríguez

, Mahdi Zareei
, Alejandro De León Languré
:
Talent Identification in Football Using Supervised Machine Learning. 16-27 - Artem Latyshev

, Aleksandr I. Panov
:
Latent State Space Quantization for Learning and Exploring Goals. 28-39 - Yusdivia Molina

, Juan Vladimir Padilla López
, Héctor Manuel Cárdenas Castro
, Miguel González-Mendoza
:
Predicting and Classifying Contaminants in Mexican Water Bodies: A Machine Learning Approach. 40-53 - Jorge Gerardo Iglesias-Ortiz, Adrián Isaí Morales-Paredes, Jesús Antonio Low-Castro Miguel González-Mendoza, Gilberto Ochoa-Ruiz:

A ConvLSTM Approach for the WorldClim Dataset in Mexico. 54-67 - Erick Hernández Silva

, Israel Sánchez Miranda
, Luis Ignacio Ferro Salinas
, Miguel González-Mendoza
:
Building Resilience Against Climate Change. Focusing on Predicting Precipitation with Machine Learning Models on Mexico's Metropolitan Area. 68-80 - Denisse Chacón Ramírez

, Emilio Ríos Ochoa
, Antonio Velázquez López
, Neil Hernández-Gress
, Miguel González-Mendoza
:
Machine Learning Implementation for Water Quality Monitoring in the Desert State of Sonora. 81-100 - Jesus Dassaef López-Barrios

, Ilse Karena de Anda-García
, Raúl Jiménez-Cruz
, Luis A. Trejo
, Gilberto Ochoa-Ruiz
, Miguel González-Mendoza
:
Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam. 101-120 - Vanha Tran

, Thiloan Bui, Thaigiang Do, Hoangan Le:
Efficiently Mining High Average Utility Co-location Patterns Using Maximal Cliques and Pruning Strategies. 121-134 - Jorge de Jesús Luis Ortiz, Maximino Navarro, Claude Prud'Homme, Fernando Vázquez, Hiram Ponce:

QUÉ MAX-TE-LATTE Personalized Product Recommendations in the Coffee Shop Industry: Enhancing Customer Experience and Loyalty. 135-147 - Mariel Rivera, Bruno Campos, Adrián Galicia, Enrique Noguera, Hiram Ponce:

Price Estimation for Pre-owned Vehicles Using Machine Learning. 148-159 - Ruben Martinez, Diego Tinoco, Rodrigo Huerta, Emilio Flores, Hiram Ponce:

Algotrading R2ED: A Machine Learning Approach. 160-170 - Alejandro Mauricio Maqueo-Huerta, Emilio Yoltic Martínez-Gutiérrez, Rogelio Zaid Sariñana-Hernández, Favio Mariano Dileva-Charles, Neil Hernández-Gress:

Analysis of Predictive Factors in University Dropout Rates Using Data Science Techniques. 171-182
Computer Vision
- Yareli Aburto Sánchez

, Eduardo F. Morales
:
Incremental Learning for Object Classification in a Real and Dynamic World. 185-197 - Azuany Mila-Ceron

, Zobeida Jezabel Guzman-Zavaleta
, Goben Diego Constantino-Aguirre
:
Easy for Us, Complex for AI: Assessing the Coherence of Generated Realistic Images. 198-209 - Cristina Pérez Ramos

, Miguel Chávez Dagostino
, Leopoldo Altamirano Robles
:
Comparative Analysis of Natural Landmark Detection in Lunar Terrain Images. 210-221 - Carlos Aparicio, Cuauhtémoc Guerrero, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:

Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++. 222-235 - Jesus Antonio Low-Castro, Nima Shirzad-Ghaleroudkhani, Maziar Jamshidi, Oliver Matthias Probst-Oleszewski, Gerardo Rodriguez-Hernandez, Mustafa Gül, Gilberto Ochoa-Ruiz:

Smartphone-Based Fuel Identification Model for Wildfire Risk Assessment Using YOLOv8. 236-247

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