Manuel A. Soto Murillo

According to our database, Manuel A. Soto Murillo authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Implementation of Boruta for Feature Selection in the Detection of Schizophrenia Using Spectral and Connectivity EEG Features: A Machine Learning Approach.

L. Rafael Salas-Rodriguez, Vanessa Alcalá-Rmz, Karen E. Villagrana-Bañuelos, Juvenal Villanueva-Maldonado, Manuel A. Soto Murillo

Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2025), 2025

Towards Personalized Diagnosis of Social Anxiety Disorder: Interpretable Machine Learning with SHAP.

Vanessa Alcalá-Rmz, L. Rafael Salas-Rodriguez, Carlos Eric Galván-Tejada, Manuel A. Soto Murillo, Juvenal Villanueva-Maldonado, Karen E. Villagrana-Bañuelos

Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2025), 2025

2024

Selección de características y optimización de hiperparámetros para la mejora en la clasificación del cáncer de próstata.

Andrea G. Plascencia-Rodríguez, Manuel A. Soto Murillo, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada

Res. Comput. Sci., 2024

Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment.

Eduardo de Avila-Armenta, José M. Celaya-Padilla, Robert B. A. Adamson, Gamaliel Moreno-Chávez, Antonio Martínez-Torteya, Manuel A. Soto Murillo, Diana L. Jácome-Cadena, Jorge I. Galván-Tejada, M. Hazael Guerrero-Flores, Miguel A. Cid-Baez

Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024

MRI-Based Brain Tumor Classification: A Texture Analysis and Machine Learning Approach.

J. Manuel Mercado-Blanco, Manuel A. Soto Murillo, Jorge I. Galván-Tejada, Gamaliel Moreno, Carlos Eric Galván-Tejada, Eduardo de Avila-Armenta, Jesus F. Pacheco-Marquez

Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2024

Analysis of the Correct Execution of Free Squats for Injury Prevention: A Genetic Algorithm Approach.

Sebastian Guzmán-Alfaro, José I. Ríos-Ríos, José M. Celaya-Padilla, Carlos Eric Galván-Tejada, Angeles O. Félix-Castañeda, Manuel A. Soto Murillo, Eduardo de Avila-Armenta, Pedro E. Mayorga-Ruiz, Andrea Acuña-Correa

Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2024

Femoral Head Surface Segmentation Using Ultrasound Images as Input Source: A Local Phase and Rigid Filtering Approach.

Eduardo de Avila-Armenta, José María Celaya-Padilla, Robert B. A. Adamson, Gamaliel Moreno-Chávez, Antonio Martínez-Torteya, Manuel A. Soto Murillo, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Erika Acosta-Cruz, Osvaldo Moreno-Terrazas, Miguel A. Cid-Baez, Diana L. Jácome-Cadena

Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2024

Optimizing Autonomous Vehicle Control Through Deep Q-Learning: A Simulation-Based Approach with CARLA.

Jose J. Alvarado-Padilla, José M. Celaya-Padilla, Antonio Martínez-Torteya, Manuel A. Soto Murillo, Hamurabi Gamboa-Rosales, Nadia Karina Gamboa-Rosales

Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2024

2022

Comparison of Three Supervised Machine Learning Classification Methods for the Diagnosis of PD.

Ricardo Villagrana-Bañuelos, Karen E. Villagrana-Bañuelos, Manuel A. Soto Murillo, Carlos Eric Galván-Tejada, José María Celaya-Padilla, Jorge Issac Galván-Tejada

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022