Symbolic nodal analysis of fully-differential analog circuits. - Carlos Sánchez-López; Rocio Ochoa-Montiel; A. Ruiz-Pastor; B. M. Gonzalez-Contreras (LASCAS, 2013)

Human Emotions Reader by Medium of Digital Image Processing. - Brenda Manoatl-Netzahual; Leticia Flores-Pulido; María del Rocío Ochoa Montiel; María Margarita Labastida-Roldán (MICAI (Special Session), 2016)

Arboles de decisión ID3para el diagnóstico de apendicitis aguda en niños. - Iván Sánchez Martínez; Leticia Flores-Pulido; Alfredo Adán Pimentel; José Federico Ramírez-Cruz; María del Rocío Ochoa Montiel (Res. Comput. Sci., 2016)

Images segmentation by using differential evolution with constraints handling. - Rocio Ochoa-Montiel; Miguel Ángel Carrasco-Aguilar; Carlos Sánchez-López; Francisco Javier Albores-Velasco; F. E. Morales-Lopez; Leticia Flores-Pulido (LA-CCI, 2017)

Segmentation of Microscopic Images with NSGA-II. - Rocio Ochoa-Montiel; Carlos Sánchez-López; Victor Hugo Carbajal-Gomez; Ever Juárez-Guerra (Computación y Sistemas, 2018)

Automatic Contrast Enhancement with Differential Evolution for Leukemia Cell Identification. - Rocio Ochoa-Montiel; O. Flores-Castillo; Humberto Sossa; Gustavo Olague (MCPR, 2019)

Estrous Cycle Classification through Automatic Feature Extraction. - Gerardo Hernández; Leonardo Delgado; María del Rocío Ochoa Montiel; Erik Zamora 001; Juan Humberto Sossa Azuela; Aldrin Barreto-Flores; Francisco Ramos Collazo; Rosalina María de Lourdes Reyes Luna (Computación y Sistemas, 2019)

Handcraft and Automatic Approaches for the Recognition of Leukemia Images. - Rocio Ochoa-Montiel; Leonardo Martínez Ibarra; Humberto Sossa; Gustavo Olague (Res. Comput. Sci., 2020)

Towards explainable artificial intelligence for the leukemia subtype recognition. - Rocio Ochoa-Montiel; Gustavo Olague; Humberto Sossa (LA-CCI, 2021)

Symbolic Learning using Brain Programming for the Recognition of Leukemia Images. - Rocio Ochoa-Montiel; Humberto Sossa; Gustavo Olague; Mariana Chan-Ley; José Menendez (Computación y Sistemas, 2021)

Classical Contrast Enhancement Methods in the Classification of Estrous Cycle Images. - Rocio Ochoa-Montiel; Ismael Llamur; Humberto Sossa; Gustavo Olague (Res. Comput. Sci., 2021)

Improving Leukemia Image Classification by Extracting and Transferring Knowledge by Evolutionary Vision. - Rocio Ochoa-Montiel; Gustavo Olague; Humberto Sossa (Res. Comput. Sci., 2021)

Machine Learning and Symbolic Learning for the Recognition of Leukemia L1, L2 and L3. - Rocio Ochoa-Montiel; Humberto Sossa; Gustavo Olague; Carlos Sánchez-López (MCPR, 2022)

Automated Design of Salient Object Detection Algorithms with Brain Programming. - Gustavo Olague; Jose Armando Menendez-Clavijo; Matthieu Olague; Arturo Ocampo; Gerardo Ibarra-Vázquez; Rocio Ochoa-Montiel; Roberto Pineda (CoRR, 2022)

Leukemia recognition with evolutionary vision and knowledge transfer. - Rocio Ochoa-Montiel; Mariana Chan-Ley; Juan Humberto Sossa Azuela; Gustavo Olague; F. E. Morales-Lopez (Int. J. Comb. Optim. Probl. Informatics, 2022)

Automatic Recognition of Leukemia AML Using Evolutionary Vision. - Rocio Ochoa-Montiel; Humberto Sossa; Gustavo Olague; Carlos Sánchez-López (Computación y Sistemas (CyS), 2023)

Dendritic neural networks in the classification of estrous cycle images. - Rocio Ochoa-Montiel; Rodrigo Francisco Román Godínez; Erik Zamora 001; Juan Humberto Sossa Azuela; Gerardo Hernández (Int. J. Comb. Optim. Probl. Informatics, 2023)

Segmentación en color para el reconocimiento de leucemia mieloide aguda. - José D. Sánchez-Chamorro; Rocio Ochoa-Montiel; José Federico Ramírez-Cruz; Miguel Ángel Carrasco-Aguilar (Res. Comput. Sci., 2023)

Comparison of integer-order chaotic attractors as randomness source in collision-free robotic exploration methods. - Carlos Sánchez-López; Rocio Ochoa-Montiel; E. Reyes-Pérez; Carlos Muñiz-Montero (Integr., 2025)