Color Active Contours for Tracking Roads in Natural Environments. - Antonio Marín-Hernández; Michel Devy; Juan Gabriel Aviña-Cervantes (CIARP, 2004)

Scene Modeling by ICA and Color Segmentation. - Juan Gabriel Aviña-Cervantes; Michel Devy (MICAI, 2004)

Robot Visual Navigation in Semi-structured Outdoor Environments. - Diana Mateus; Juan Gabriel Aviña-Cervantes; Michel Devy (ICRA, 2005)

Towards landmine detection using artificial vision. - Javier Coronado-Vergara; Juan Gabriel Aviña-Cervantes; Michel Devy; Carlos Parra 001 (IROS, 2005)

Performance Evaluation of a Segmentation Algorithm for Synthetic Texture Images. - Dora Luz Almanza-Ojeda; Víctor Ayala-Ramírez; Raúl Enrique Sánchez-Yáñez; Juan Gabriel Aviña-Cervantes (MICAI, 2005)

Monte Carlo Evaluation of the Hausdorff Distance for Shape Matching. - Arturo Pérez-García; Víctor Ayala-Ramírez; Raúl Enrique Sánchez-Yáñez; Juan Gabriel Aviña-Cervantes (CIARP, 2006)

Autonomous learning of a topological model in a road network. - Juan Gabriel Aviña-Cervantes; Michel Devy (IAS, 2006)

Shadows Attenuation for Robust Object Recognition. - Juan Gabriel Aviña-Cervantes; Leonardo Martínez-Jiménez; Michel Devy; Andres Hernández-Gutierrez; Dora L. Almanza; Mario A. Ibarra (MICAI, 2007)

Association rule-based Markov Decision Processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Alberto Reyes-Ballesteros; Eva Onaindia; Juan Gabriel Aviña-Cervantes; Sergio Ledesma; Donato Hernández (LA-NMR, 2008)

Combination of acceleration procedures for solving stochastic shortest-path Markov decision processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Sergio E. Ledesma-Orozco; Juan Gabriel Aviña-Cervantes; Eva Onaindia; Alberto Reyes-Ballesteros (ISKE, 2010)

3D city models: Mapping approach using LIDAR technology. - Denis-Eduardo Hernandez-Garcia; José-Joel González-Barbosa; Juan-Bautista Hurtado-Ramos; Francisco-Javier Ornelas-Rodriguez; Eduardo Castillo Castañeda; Alfonso Ramirez-Pedraza; Angel Ivan Garcia; Ricardo Gonzalez-Barbosa; Juan Gabriel Aviña-Cervantes (CONIELECOMP, 2011)

Reduction of temporal complexity in Markov decision processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Sergio E. Ledesma-Orozco; Juan Gabriel Aviña-Cervantes (CONIELECOMP, 2012)

New prioritized value iteration for Markov decision processes. - Ma. de Guadalupe García-Hernández; José Ruiz-Pinales; Eva Onaindia; Juan Gabriel Aviña-Cervantes; Sergio E. Ledesma-Orozco; Edgar Alvarado-Mendez; Alberto Reyes-Ballesteros (Artif. Intell. Rev., 2012)

Chromatic Correction Applied to Outdoor Images. - Hayde Peregrina-Barreto; Juan Gabriel Aviña-Cervantes; Iván R. Terol-Villalobos; Jose de Jesus Rangel-Magdaleno; Ana M. Herrera-Navarro (Computación y Sistemas, 2012)

Noisy data fitting with B-splines using hierarchical genetic algorithm. - Carlos H. Garcia-Capulin; Gerardo Trejo-Caballero; Horacio Rostro-González; Juan Gabriel Aviña-Cervantes (CONIELECOMP, 2013)

Human Heart Segmentation Based on Differential Evolution and Active Contours with Shape Prior. - Iván Cruz-Aceves; Juan Gabriel Aviña-Cervantes; Juan Manuel Lopez-Hernandez; Ma. de Guadalupe García-Hernández; Sheila Esmeralda González-Reyna; Miguel Torres-Cisneros (MICAI (1), 2013)

Traffic Sign Recognition Based on Linear Discriminant Analysis. - Sheila Esmeralda González-Reyna; Juan Gabriel Aviña-Cervantes; Sergio Eduardo Ledesma-Orozco; Iván Cruz-Aceves; Ma. de Guadalupe García-Hernández (MICAI (2), 2013)

B-spline Surface Approximation Using Hierarchical Genetic Algorithm. - Gerardo Trejo-Caballero; Carlos H. Garcia-Capulin; Oscar Gerardo Ibarra-Manzano; Juan Gabriel Aviña-Cervantes; L. M. Burgara-Lopez; Horacio Rostro-González (MICAI (2), 2013)

Multiple Active Contours Driven by Particle Swarm Optimization for Cardiac Medical Image Segmentation. - Iván Cruz-Aceves; Juan Gabriel Aviña-Cervantes; Juan Manuel Lopez-Hernandez; Sheila Esmeralda González-Reyna (Comput. Math. Methods Medicine, 2013)

Unsupervised Cardiac Image Segmentation via Multiswarm Active Contours with a Shape Prior. - Iván Cruz-Aceves; Juan Gabriel Aviña-Cervantes; Juan Manuel Lopez-Hernandez; Ma. de Guadalupe García-Hernández; Mario Alberto Ibarra-Manzano (Comput. Math. Methods Medicine, 2013)

Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation. - Iván Cruz-Aceves; Juan Gabriel Aviña-Cervantes; Juan Manuel Lopez-Hernandez; Horacio Rostro-González; Carlos H. Garcia-Capulin; Miguel Torres-Cisneros; Rafael Guzmán-Cabrera (Comput. Math. Methods Medicine, 2013)

Pitch estimation for musical note recognition using Artificial Neural Networks. - Jose de Jesus Guerrero-Turrubiates; Sheila Esmeralda González-Reyna; Sergio Eduardo Ledesma-Orozco; Juan Gabriel Aviña-Cervantes (CONIELECOMP, 2014)

Applying balancing techniques in traffic sign recognition. - Sheila Esmeralda González-Reyna; José Francisco Martínez Trinidad; Jesús Ariel Carrasco-Ochoa; Juan Gabriel Aviña-Cervantes; Sergio E. Ledesma-Orozco (Artif. Intell. Res., 2014)

Quantitative Estimation of Temperature Variations in Plantar Angiosomes: A Study Case for Diabetic Foot. - Hayde Peregrina-Barreto; Luis Alberto Morales-Hernández; Jose de Jesus Rangel-Magdaleno; Juan Gabriel Aviña-Cervantes; Juan Manuel Ramírez-Cortés; Roberto Morales-Caporal (Comput. Math. Methods Medicine, 2014)

Evaluation of thermal patterns and distribution applied to the study of diabetic foot. - Daniel Alejandro Hernandez-Contreras; Hayde Peregrina-Barreto; Jose de Jesus Rangel-Magdaleno; Juan Manuel Ramírez-Cortés; Francisco-J. Renero-Carrillo; Juan Gabriel Aviña-Cervantes (I2MTC, 2015)

Design of an Optimal Heat Sink for Microelectronic Devices Using Entropy Generation Minimization. - Jorge M. Cruz-Duarte; Juan Gabriel Aviña-Cervantes; Ivan M. Amaya-Contreras; Carlos Rodrigo Correa-Cely (MICAI (Special Sessions), 2015)

A CPG system based on spiking neurons for hexapod robot locomotion. - Horacio Rostro-González; Pedro Alberto Cerna-Garcia; Gerardo Trejo-Caballero; Carlos H. Garcia-Capulin; Mario Alberto Ibarra-Manzano; Juan Gabriel Aviña-Cervantes; César Torres-Huitzil (Neurocomputing, 2015)

Automatic brain tumor tissue detection based on hierarchical centroid shape descriptor in Tl-weighted MR images. - Elisee Ilunga-Mbuyamba; Juan Gabriel Aviña-Cervantes; Dirk Lindner; Jose de Jesus Guerrero-Turrubiates; Claire Chalopin (CONIELECOMP, 2016)

Automatic segmentation of coronary arteries using Gabor filters and thresholding based on multiobjective optimization. - Iván Cruz-Aceves; Faraz Oloumi; Rangaraj M. Rangayyan; Juan Gabriel Aviña-Cervantes; Arturo Hernández Aguirre (Biomed. Signal Process. Control., 2016)

Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm. - Fernando Cervantes-Sanchez; Iván Cruz-Aceves; Arturo Hernández Aguirre; Juan Gabriel Aviña-Cervantes; Sergio Solorio-Meza; Manuel Ornelas-Rodríguez; Miguel Torres-Cisneros (Comput. Intell. Neurosci., 2016)

Active contours driven by Cuckoo Search strategy for brain tumour images segmentation. - Elisee Ilunga-Mbuyamba; Jorge Mario Cruz-Duarte; Juan Gabriel Aviña-Cervantes; Carlos Rodrigo Correa-Cely; Dirk Lindner; Claire Chalopin (Expert Syst. Appl., 2016)

Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data. - Elisee Ilunga-Mbuyamba; Juan Gabriel Aviña-Cervantes; Dirk Lindner; Iván Cruz-Aceves; Felix Arlt; Claire Chalopin (Sensors, 2016)

Application of Image Processing Functions for Brain Tumor Enhancement in Intraoperative Ultrasound Image Data. - Claire Chalopin; Elisee Ilunga-Mbuyamba; Jesus Guillermo Cabal Aragon; Juan Carlos Camacho Rodriguez; Felix Arlt; Juan Gabriel Aviña-Cervantes; Jürgen Meixensberger; Dirk Lindner (VCBM, 2017)

Automatic selection of localized region-based active contour models using image content analysis applied to brain tumor segmentation. - Elisee Ilunga-Mbuyamba; Juan Gabriel Aviña-Cervantes; Jonathan Cepeda-Negrete; Mario Alberto Ibarra-Manzano; Claire Chalopin (Comput. Biol. Medicine, 2017)

Fast Parabola Detection Using Estimation of Distribution Algorithms. - Jose de Jesus Guerrero-Turrubiates; Iván Cruz-Aceves; Sergio Ledesma; Juan Manuel Sierra-Hernández; Jonás Velasco; Juan Gabriel Aviña-Cervantes; Maria Susana Avila Garcia; Horacio Rostro-González; Roberto Rojas-Laguna (Comput. Math. Methods Medicine, 2017)

Localized active contour model with background intensity compensation applied on automatic MR brain tumor segmentation. - Elisee Ilunga-Mbuyamba; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; René de Jesús Romero-Troncoso; Hugo Aguirre-Ramos; Iván Cruz-Aceves; Claire Chalopin (Neurocomputing, 2017)

Analysis of Data Sets With Learning Conflicts for Machine Learning. - Sergio Ledesma; Mario Alberto Ibarra-Manzano; Eduardo Cabal-Yepez; Dora Luz Almanza-Ojeda; Juan Gabriel Aviña-Cervantes (IEEE Access, 2018)

Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and Expectation Maximization. - Hugo Aguirre-Ramos; Juan Gabriel Aviña-Cervantes; Iván Cruz-Aceves; José Ruiz-Pinales; Sergio Ledesma (Appl. Math. Comput., 2018)

Patient-specific model-based segmentation of brain tumors in 3D intraoperative ultrasound images. - Elisee Ilunga-Mbuyamba; Juan Gabriel Aviña-Cervantes; Dirk Lindner; Felix Arlt; Jean Fulbert Ituna-Yudonago; Claire Chalopin (Int. J. Comput. Assist. Radiol. Surg., 2018)

A closed form expression for the Gaussian-based Caputo-Fabrizio fractional derivative for signal processing applications. - Jorge M. Cruz-Duarte; J. Juan Rosales-García; Carlos Rodrigo Correa-Cely; Arturo Garcia-Perez; Juan Gabriel Aviña-Cervantes (Commun. Nonlinear Sci. Numer. Simul., 2018)

Matrix Converter Based on SVD Modulation Using a Microcontroller as Unique Controlling Device. - Luis Ramon Merchan-Villalba; José Merced Lozano-García; Juan Gabriel Aviña-Cervantes; Héctor Javier Estrada-García; Jesus Martinez-Patiño (IEEE Access, 2019)

Conic sections fitting in disperse data using Differential Evolution. - Hugo Aguirre-Ramos; Juan Gabriel Aviña-Cervantes; Elisee Ilunga-Mbuyamba; Jorge M. Cruz-Duarte; Iván Cruz-Aceves; Eloisa Gallegos-Arellano (Appl. Soft Comput., 2019)

Differential Neural Networks (DNN). - Sergio Ledesma; Dora Luz Almanza-Ojeda; Mario Alberto Ibarra-Manzano; Eduardo Cabal-Yepez; Juan Gabriel Aviña-Cervantes; Pascal Fallavollita (IEEE Access, 2020)

Localización de referencias cefalométricas en radiografías laterales de cráneo: Una revisión sistemática. - José Luis López-Ramírez; José Ruiz-Pinales; Juan Gabriel Aviña-Cervantes; Pedro López-Rodríguez; José Guadalupe Beltrán-Hernández; Mario Alberto Ibarra-Manzano (Res. Comput. Sci., 2020)

Reconocimiento de trayectorias del brazo usando sensores de aceleración y giroscopio. - Pedro López-Rodríguez; José Ruiz-Pinales; Juan Gabriel Aviña-Cervantes; José Luis López-Ramírez; José Guadalupe Beltrán-Hernández (Res. Comput. Sci., 2020)

Optimization-Based Strategies for Optimal Inverse Parameters Estimation for Heat Transfer Systems. - David Matajira-Rueda; Jorge Mario Cruz-Duarte; Juan Gabriel Aviña-Cervantes; Mario Alberto Ibarra-Manzano; Rodrigo Correa (IEEE Access, 2021)

Transfer Learning for Humanoid Robot Appearance-Based Localization in a Visual Map. - Emmanuel Ovalle-Magallanes; Noé G. Aldana-Murillo; Juan Gabriel Aviña-Cervantes; José Ruiz-Pinales; Jonathan Cepeda-Negrete; Sergio Ledesma (IEEE Access, 2021)

Image Encryption and Decryption System through a Hybrid Approach Using the Jigsaw Transform and Langton's Ant Applied to Retinal Fundus Images. - Andrés Romero-Arellano; Ernesto Moya-Albor; Jorge Brieva; Iván Cruz-Aceves; Juan Gabriel Aviña-Cervantes; Martha Alicia Hernandez-Gonzalez; Luis Miguel Lopez-Montero (Axioms, 2021)

FPGA-based architecture to estimate the input glucose in a dark fermenter using a super-twisting observer. - José de Jesús Colín Robles; Ixbalank Torres Zúñiga; Juan Gabriel Aviña-Cervantes; Mario Alberto Ibarra-Manzano (Microprocess. Microsystems, 2021)

Improving convolutional neural network learning based on a hierarchical bezier generative model for stenosis detection in X-ray images. - Emmanuel Ovalle-Magallanes; Juan Gabriel Aviña-Cervantes; Iván Cruz-Aceves; José Ruiz-Pinales (Comput. Methods Programs Biomed., 2022)

On removing conflicts for machine learning. - Sergio Ledesma; Mario Alberto Ibarra-Manzano; Dora Luz Almanza-Ojeda; Juan Gabriel Aviña-Cervantes; Eduardo Cabal-Yepez (Expert Syst. Appl., 2022)

Hybrid classical-quantum Convolutional Neural Network for stenosis detection in X-ray coronary angiography. - Emmanuel Ovalle-Magallanes; Juan Gabriel Aviña-Cervantes; Iván Cruz-Aceves; José Ruiz-Pinales (Expert Syst. Appl., 2022)

Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids. - Gerardo Humberto Valencia-Rivera; José Carlos Ortiz-Bayliss; Jorge M. Cruz-Duarte; Iván Amaya; Juan Gabriel Aviña-Cervantes (CEC, 2023)

Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach. - Daniel F. Zambrano-Gutierrez; Alberto C. Molina-Porras; Juan Gabriel Aviña-Cervantes; Rodrigo Correa; Jorge M. Cruz-Duarte (SSCI, 2023)

SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control. - Daniel F. Zambrano-Gutierrez; Alberto C. Molina-Porras; Emmanuel Ovalle-Magallanes; Iván Amaya; José Carlos Ortiz-Bayliss; Juan Gabriel Aviña-Cervantes; Jorge M. Cruz-Duarte (SSCI, 2023)

Automatic Design of Metaheuristics for Practical Engineering Applications. - Daniel F. Zambrano-Gutierrez; Jorge Mario Cruz-Duarte; Juan Gabriel Aviña-Cervantes; José Carlos Ortiz-Bayliss; Jesus J. Yanez-Borjas; Iván Amaya (IEEE Access, 2023)

Motor Imagery Multi-Tasks Classification for BCIs Using the NVIDIA Jetson TX2 Board and the EEGNet Network. - Tat'y Mwata-Velu; Edson Niyonsaba-Sebigunda; Juan Gabriel Aviña-Cervantes; José Ruiz-Pinales; Narcisse Velu-A-Gulenga; Adán Antonio Alonso-Ramírez (Sensors, 2023)

Quantum angle encoding with learnable rotation applied to quantum-classical convolutional neural networks. - Emmanuel Ovalle-Magallanes; Dora E. Alvarado-Carrillo; Juan Gabriel Aviña-Cervantes; Iván Cruz-Aceves; José Ruiz-Pinales (Appl. Soft Comput., 2023)

A channel selection method to find the role of the amygdala in emotion recognition avoiding conflict learning in EEG signals. - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (Eng. Appl. Artif. Intell., 2023)

Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation. - Daniel F. Zambrano-Gutierrez; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya; Juan Gabriel Aviña-Cervantes (CEC, 2024)

Emotion Recognition in Gaming Dataset to Reduce Artifacts in the Self-Assessed Labeling Using Semi-Supervised Clustering. - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (IEEE Access, 2024)

Corrections to "Emotion Recognition in Gaming Dataset to Reduce Artifacts in the Self-Assessed Labeling Using Semi-Supervised Clustering". - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (IEEE Access, 2024)

A systematic review of metaheuristic algorithms in electric power systems optimization. - Gerardo Humberto Valencia-Rivera; Maria Torcoroma Benavides-Robles; Alonso Vela Morales; Iván Amaya; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Juan Gabriel Aviña-Cervantes (Appl. Soft Comput., 2024)

REGEEG: A Regression-Based EEG Signal Processing in Emotion Recognition. - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (IEEE J. Biomed. Health Informatics, 2025)