Specification and Control of Cooperative Work in a Heterogeneous Computing Environment. - Guillermo de Jesús Hoyos-Rivera; Esther Martínez González; Homero V. Ríos-Figueroa; Víctor Germán Sánchez-Arias; Héctor-Gabriel Acosta-Mesa; Noé Lopez-Benitez (Heterogeneous Computing Workshop, 1998)

Digital Image Processing of Functional Magnetic Resonance Images to Identify Stereo-Sensitive Cortical Regions Using Dynamic Global Stimuli. - Héctor-Gabriel Acosta-Mesa; Nicandro Cruz-Ramírez; John P. Frisby; Ying Zheng; David Buckley; Janet Morris; John E. W. Mayhew (IBERAMIA, 2004)

Cervical Cancer Detection Using Colposcopic Images: a Temporal Approach. - Héctor-Gabriel Acosta-Mesa; Homero V. Ríos-Figueroa; Nicandro Cruz-Ramírez; Antonio Marín-Hernández; Barbara Zitová; Rodolfo Hernández-Jiménez; Bertha E. Cocotle-Ronzon; Efrain Hernandez-Galicia (ENC, 2005)

A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data. - Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Rocío-Erandi Barrientos-Martínez; Juan Efrain Rojas-Marcial; Luis-Alonso Nava-Fernández (ENC, 2005)

Diagnosis of Chronic Idiopathic Inflammatory Bowel Disease Using Bayesian Networks. - Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Rocío-Erandi Barrientos-Martínez; Luis-Alonso Nava-Fernández (CIARP, 2006)

Bayesian Model Combination and Its Application to Cervical Cancer Detection. - Miriam Martinez-Arroyo; Luis Enrique Sucar; Héctor-Gabriel Acosta-Mesa; Nicandro Cruz-Ramírez (IBERAMIA-SBIA, 2006)

How Good Are the Bayesian Information Criterion and the Minimum Description Length Principle for Model Selection? A Bayesian Network Analysis. - Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Rocío-Erandi Barrientos-Martínez; Luis-Alonso Nava-Fernández (MICAI, 2006)

Modeling Aceto-White Temporal Patterns to Segment Colposcopic Images. - Héctor-Gabriel Acosta-Mesa; Nicandro Cruz-Ramírez; Rodolfo Hernández-Jiménez; Daniel-Alejandro García-López (IbPRIA (2), 2007)

Diagnosis of breast cancer using Bayesian networks: A case study. - Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Humberto Carrillo-Calvet; Luis-Alonso Nava-Fernández; Rocío-Erandi Barrientos-Martínez (Comput. Biol. Medicine, 2007)

Comparison of the Performance of Seven Classifiers as Effective Decision Support Tools for the Cytodiagnosis of Breast Cancer: A Case Study. - Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Humberto Carrillo-Calvet; Rocío-Erandi Barrientos-Martínez (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

On the Possibility of Reliably Constructing a Decision Support System for the Cytodiagnosis of Breast Cancer. - Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Humberto Carrillo-Calvet; Rocío-Erandi Barrientos-Martínez (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

Discretization of Time Series Dataset with a Genetic Search. - Daniel-Alejandro García-López; Héctor-Gabriel Acosta-Mesa (MICAI, 2009)

Discovering interobserver variability in the cytodiagnosis of breast cancer using decision trees and Bayesian networks. - Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Humberto Carrillo-Calvet; Rocío-Erandi Barrientos-Martínez (Appl. Soft Comput., 2009)

Aceto-white temporal pattern classification using k-NN to identify precancerous cervical lesion in colposcopic images. - Héctor-Gabriel Acosta-Mesa; Nicandro Cruz-Ramírez; Rodolfo Hernández-Jiménez (Comput. Biol. Medicine, 2009)

Classification of cognitive states of attention and relaxation using supervised learning algorithms. - Candy Obdulia Sosa-Jiménez; Héctor-Gabriel Acosta-Mesa; Genaro Rebolledo-Mendez; Sara de Freitas (IGIC, 2011)

Times Series Discretization Using Evolutionary Programming. - Fernando Rechy-Ramírez; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes; Nicandro Cruz-Ramírez (MICAI (2), 2011)

Assessment of Bayesian Network Classifiers as Tools for Discriminating Breast Cancer Pre-diagnosis Based on Three Diagnostic Methods. - Maria Yaneli Ameca-Alducin; Nicandro Cruz-Ramírez; Efrén Mezura-Montes; Enrique Martín-Del-Campo-Mena; Nancy Pérez-Castro; Héctor-Gabriel Acosta-Mesa (MICAI (1), 2012)

Evaluation of the Diagnostic Power of Thermography in Breast Cancer Using Bayesian Network Classifiers. - Nicandro Cruz-Ramírez; Efrén Mezura-Montes; Maria Yaneli Ameca-Alducin; Enrique Martín-Del-Campo-Mena; Héctor-Gabriel Acosta-Mesa; Nancy Pérez-Castro; Alejandro Guerra-Hernández; Guillermo de Jesús Hoyos-Rivera; Rocío-Erandi Barrientos-Martínez (Comput. Math. Methods Medicine, 2013)

An Image Registration Method for Colposcopic Images. - Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa; Ramírez-Garcés Darío-del-Sinaí; Nicandro Cruz-Ramírez; Rodolfo Hernández-Jiménez (Comput. Math. Methods Medicine, 2013)

Tracking and prediction of motion of segmented regions using the Kalman filter. - Ángel Juan Sánchez-García; Homero Vladimir Ríos-Figueroa; Antonio Marín-Hernández; Héctor-Gabriel Acosta-Mesa (CONIELECOMP, 2014)

Application of time series discretization using evolutionary programming for classification of precancerous cervical lesions. - Héctor-Gabriel Acosta-Mesa; Fernando Rechy-Ramírez; Efrén Mezura-Montes; Nicandro Cruz-Ramírez; Rodolfo Hernández-Jiménez (J. Biomed. Informatics, 2014)

A Windowing based GPU optimized strategy for the induction of Decision Trees in JaCa-DDM. - Xavier Limón; Alejandro Guerra-Hernández; Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Francisco Grimaldo 001 (CCIA, 2015)

A Performance Prediction Model for Database Environments: A Preliminary Analysis. - Jesus Flores-Contreras; Carlos Ruiz; Pablo Salazar; Hector A. Duran-Limon; Efrén Mezura-Montes; Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa (HPCC/CSS/ICESS, 2015)

Cervical image segmentation using active contours and evolutionary programming over temporary acetowhite patterns. - Aldo Márquez-Grajales; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes; Rodolfo Hernández-Jiménez (CEC, 2016)

Empirical study of bound constraint-handling methods in Particle Swarm Optimization for constrained search spaces. - Efrén Juárez-Castillo; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (CEC, 2017)

Full Model Selection issue in temporal data through evolutionary algorithms: A brief review. - Nancy Pérez-Castro; Aldo Márquez-Grajales; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (CEC, 2017)

Optimization of Classification Strategies of Acetowhite Temporal Patterns towards Improving Diagnostic Performance of Colposcopy. - Karina Gutiérrez-Fragoso; Héctor-Gabriel Acosta-Mesa; Nicandro Cruz-Ramírez; Rodolfo Hernández-Jiménez (Comput. Math. Methods Medicine, 2017)

A feature selection method based on a neighborhood approach for contending with functional and anatomical variability in fMRI group analysis of cognitive states. - Efrén Juárez-Castillo; Héctor-Gabriel Acosta-Mesa; Juan Fernández-Ruiz; Nicandro Cruz-Ramírez (Intell. Data Anal., 2017)

Improved multi-objective clustering with automatic determination of the number of clusters. - Maria-Guadalupe Martinez-Penaloza; Efrén Mezura-Montes; Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Homero Vladimir Ríos-Figueroa (Neural Comput. Appl., 2017)

A Windowing strategy for Distributed Data Mining optimized through GPUs. - Xavier Limón; Alejandro Guerra-Hernández; Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Francisco Grimaldo 001 (Pattern Recognit. Lett., 2017)

Semi-Automatic Analysis for Unidimensional Immunoblot Images to Discriminate Breast Cancer Cases Using Time Series Data Mining. - Diana M. Sánchez-Silva; Héctor-Gabriel Acosta-Mesa; Tania Romo-González (Int. J. Pattern Recognit. Artif. Intell., 2018)

Adaptive boundary constraint-handling scheme for constrained optimization. - Efrén Juárez-Castillo; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (Soft Comput., 2019)

A multi-breakpoints approach for symbolic discretization of time series. - Aldo Márquez-Grajales; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes; Mario Graff (Knowl. Inf. Syst., 2020)

Towards a Transfer Learning Strategy in Full Model Selection Algorithm for Temporal Data Mining. - Nancy Pérez-Castro; Héctor-Gabriel Acosta-Mesa (Res. Comput. Sci., 2020)

Evolutionary Algorithms for Searching Almost-Equienergetic Graphs. - Aarón Jiménez-Aparicio; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa (CEC, 2021)

Evolution of Generative Adversarial Networks Using PSO for Synthesis of COVID-19 Chest X-ray Images. - Juan-Antonio Rodríguez-de-la-Cruz; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (CEC, 2021)

Hybrid encodings for neuroevolution of convolutional neural networks: a case study. - Gustavo Adolfo Vargas Hakim; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa (GECCO Companion, 2021)

Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns. - Aldo Márquez-Grajales; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes; Rodolfo Hernández-Jiménez; Nancy Pérez-Castro; Adan E. Aguilar-Justo; Fernando Salas-Martínez (Biomed. Signal Process. Control., 2021)

Feature Construction, Feature Reduction and Search Space Reduction Using Genetic Programming. - David Herrera-Sánchez; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa (ISCMI, 2022)

Balanceo de clases mediante evolución diferencial. - Rafael Muñoz-Cervantes; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa (Res. Comput. Sci., 2022)

A Review on Convolutional Neural Network Encodings for Neuroevolution. - Gustavo Adolfo Vargas Hakim; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa (IEEE Trans. Evol. Comput., 2022)

Quantification of the presence of enzymes in gelatin zymography using the Gini index. - Adriana Laura López-Lobato; Martha Lorena Avendaño-Garrido; Héctor-Gabriel Acosta-Mesa; Clara Luz Sampieri; Víctor Hugo Sandoval Lozano (J. Bioinform. Comput. Biol., 2022)

Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Differential Evolution. - Jesús-Arnulfo Barradas-Palmeros; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa; Rafael Rivera-López (MCPR, 2023)

Experimental Study of the Instance Sampling Effect on Feature Subset Selection Using Permutational-Based Differential Evolution. - Jesús-Arnulfo Barradas-Palmeros; Rafael Rivera-López; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa (WILE/HIS/CIAPP@MICAI, 2023)

Neural Architecture Search for Placenta Segmentation in 2D Ultrasound Images. - José Antonio Fuentes-Tomás; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes; Rodolfo Hernández-Jiménez (WILE/HIS/CIAPP@MICAI, 2023)

Analysis of Proteins in Microscopic Skin Images Using Machine Vision Techniques as a Tool for Detecting Alzheimer's Disease. - Sonia Lilia Mestizo Gutiérrez; Héctor-Gabriel Acosta-Mesa; Francisco García-Ortega; María Esther Jiménez-Cataño (WILE/HIS/CIAPP@MICAI, 2023)

Auto Machine Learning Based on Genetic Programming for Medical Image Classification. - David Herrera-Sánchez; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (WILE/HIS/CIAPP@MICAI, 2023)

A Surrogate-Assisted Differential Evolution Approach for the Optimization of Ben's Spiker Algorithm Parameters. - Carlos-Alberto López-Herrera; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (WILE/HIS/CIAPP@MICAI, 2023)

Blood Cell Image Segmentation Using Convolutional Decision Trees and Differential Evolution. - Adriana Laura López-Lobato; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (WILE/HIS/CIAPP@MICAI, 2023)

Use of a Surrogate Model for Symbolic Discretization of Temporal Data Sets Through eMODiTS and a Training Set with Varying-Sized Instances. - Aldo Márquez-Grajales; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa; Fernando Salas-Martínez (WILE/HIS/CIAPP@MICAI, 2023)

Estimation of Anthocyanins in Homogeneous Bean Landraces Using Neuroevolution. - José-Luis Morales-Reyes; Elia-Nora Aquino-Bolaños; Héctor-Gabriel Acosta-Mesa; Aldo Márquez-Grajales (WILE/HIS/CIAPP@MICAI, 2023)

Computational Learning in Behavioral Neuropharmacology. - Isidro Vargas-Moreno; Héctor-Gabriel Acosta-Mesa; Juan Francisco Rodríguez-Landa; Martha Lorena Avendaño-Garrido; Socorro Herrera-Meza (WILE/HIS/CIAPP@MICAI, 2023)

Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI). - Gutierrez-Portela Fernando; Harold Brayan Arteaga-Arteaga; Florina Almenárez Mendoza; Liliana Calderón-Benavides; Héctor-Gabriel Acosta-Mesa; Reinel Tabares-Soto (IEEE Access, 2023)

Computational Cost Reduction in Wrapper Approaches for Feature Selection: A Case of Study Using Permutational-Based Differential Evolution. - Jesús-Arnulfo Barradas-Palmeros; Efrén Mezura-Montes; Rafael Rivera-López; Héctor-Gabriel Acosta-Mesa (CEC, 2024)

Shifting Color Space for Image Classification using Genetic Programming. - David Herrera-Sánchez; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes; Aldo Márquez-Grajales (GECCO Companion, 2024)

Reducing Parameters by Neuroevolution in CNN for Steering Angle Estimation. - José-David Velazco-Muñoz; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (MCPR, 2024)

Efficient Neural Architecture Search: Computational Cost Reduction Mechanisms in DeepGA. - Jesús-Arnulfo Barradas-Palmeros; Carlos-Alberto López-Herrera; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (MICAI (Workshops 2), 2024)

Identification of Simple Geometric Figures Using Matlab and ROS. - Atalia-Yael Hernández-Sánchez; Jorge Aramburo-Aguilar; Héctor-Gabriel Acosta-Mesa; Sergio Hernández-Méndez; Antonio Marín-Hernández (MICAI (Workshops 2), 2024)

Experimental Study for Automatic Feature Construction to Segment Images of Lungs Affected by COVID-19 Using Genetic Programming. - David Herrera-Sánchez; José Antonio Fuentes-Tomás; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (MICAI (Workshops 2), 2024)

Prediction of Epileptic Seizure Using Neuroevolved Spiking Neural Network. - Carlos-Alberto López-Herrera; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes; Jesús-Arnulfo Barradas-Palmeros (MICAI (Workshops 2), 2024)

Bean Landraces Color Identification Through Image Analysis and Gaussian Mixture Model. - Adriana Laura López-Lobato; Martha Lorena Avendaño-Garrido; Héctor-Gabriel Acosta-Mesa; José-Luis Morales-Reyes; Elia-Nora Aquino-Bolaños (MICAI (Workshops 2), 2024)

Computational Time Reduction in the Induction of Convolutional Decision Trees. - Adriana Laura López-Lobato; Héctor-Gabriel Acosta-Mesa; Efrén Mezura-Montes (MICAI (Workshops 2), 2024)

Color Quantification in Common Bean Landraces Using a Supervised Learning Technique. - José-Luis Morales-Reyes; Elia-Nora Aquino-Bolaños; Héctor-Gabriel Acosta-Mesa (MICAI (Workshops 2), 2024)

Tree-Based Codification in Neural Architecture Search for Medical Image Segmentation. - José Antonio Fuentes-Tomás; Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa; Aldo Márquez-Grajales (IEEE Trans. Evol. Comput., 2024)

Editorial for Thematic Section: Advances in Pattern Recognition. - Efrén Mezura-Montes; Héctor-Gabriel Acosta-Mesa; José Arturo Olvera-López; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez Trinidad (Computación y Sistemas (CyS), 2025)