Alfonso Rojas Domínguez

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Deep Belief Networks

Top Venues

Res. Comput. Sci.

Publications

Carlos Orozco-Solis, Alfonso Rojas Domínguez, Héctor Puga, Manuel Ornelas-Rodríguez, Martín Carpio, Valentín Calzada-Ledesma
Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stopping Based on Similarity Metrics. MCPR (2024)
Alfonso Rojas Domínguez, S. Ivvan Valdez, Manuel Ornelas-Rodríguez, Martín Carpio
Improved training of deep convolutional networks via minimum-variance regularized adaptive sampling. Soft Comput. 27 (18) (2023)
Francisco J. Pedroza-Castro, Alfonso Rojas Domínguez, Martín Carpio, Manuel Ornelas-Rodríguez, Héctor Puga
Optimización de hiperparámetros de una red Long Short Term Memory para pronósticos financieros. Res. Comput. Sci. 151 (7) (2022)
Alfonso Rojas Domínguez, Carlos Lino Ramírez, David Asael Gutiérrez Hernández, Héctor Puga, Víctor Zamudio
Fuzzy multi-agent assistance system for elderly care based on user engagement. J. Ambient Intell. Smart Environ. 14 (3) (2022)
Alfonso Rojas Domínguez, Renato Arroyo-Duarte, Fernando Rincón-Vieyra, Matías Alvarado-Mentado
Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian. BMC Bioinform. 23 (1) (2022)
Lucero Ortiz-Aguilar, Martín Carpio, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, Héctor José Puga Soberanes, Jorge Alberto Soria-Alcaraz
A Methodology to Determine the Subset of Heuristics for Hyperheuristics through Metalearning for Solving Graph Coloring and Capacitated Vehicle Routing Problems. Complex. 2021 (2021)
María Isabel Ramírez Martínez, Carlos Lino Ramírez, Víctor Manuel Zamudio Rodríguez, David Asael Gutiérrez Hernández, Héctor José Puga Soberanes, Alfonso Rojas Domínguez
Fuzzy-Regulated Assistant based on Mental Engagement: A Multi-Agent Approach to Elderly Care. Intelligent Environments (2021)
Jorge Ivan Avalos-López, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, Martín Carpio, S. Ivvan Valdez
Efficient Training of Deep Learning Models Through Improved Adaptive Sampling. MCPR (2021)
Alfonso Rojas Domínguez, Matías Alvarado
Editorial for Thematic Section "Machine Learning for Health Care: Modeling, Analysis and Computer Simulation". Res. Comput. Sci. 149 (5) (2020)
Blanca Verónica Zuñiga-Nuñez, Juan Martín Carpio, Marco Aurelio Sotelo-Figueroa, Andrés Espinal, Omar Jair Purata-Sifuentes, Manuel Ornelas, Jorge Alberto Soria-Alcaraz, Alfonso Rojas Domínguez
Exploring Random Permutations Effects on the Mapping Process for Grammatical Evolution. J. Autom. Mob. Robotics Intell. Syst. 14 (1) (2020)
Carlos Juarez-Santini, Manuel Ornelas-Rodríguez, Jorge Alberto Soria-Alcaraz, Alfonso Rojas Domínguez, Héctor José Puga Soberanes, Andrés Espinal, Horacio Rostro-González
Single Spiking Neuron Multi-Objective Optimization for Pattern Classification. J. Autom. Mob. Robotics Intell. Syst. 14 (1) (2020)
Alfonso Rojas Domínguez, Héctor Puga, Manuel Ornelas-Rodríguez, Itzel Guerrero-Gasca
CAD of Breast Cancer: A Decade-Long Review of Techniques for Mammography Analysis. Res. Comput. Sci. 149 (5) (2020)
Rafael Augusto Rocha Angulo, Juan Martín Carpio, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, Héctor Puga
A Novel Set of Moment Invariants for Pattern Recognition Applications Based on Jacobi Polynomials. MCPR (2020)
Alfonso Rojas Domínguez
Machine Learning Techniques for Diagnosis of Breast Cancer. Res. Comput. Sci. 149 (5) (2020)
G. López-Vázquez, Manuel Ornelas-Rodríguez, Andrés Espinal, Jorge Alberto Soria-Alcaraz, Alfonso Rojas Domínguez, Héctor José Puga Soberanes, Juan Martín Carpio Valadez, Horacio Rostro-González
Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems. Comput. Intell. Neurosci. 2019 (2019)
Juan de Anda-Suárez, Juan Martín Carpio Valadez, Héctor José Puga Soberanes, Valentín Calzada-Ledesma, Alfonso Rojas Domínguez, Solai Jeyakumar, Andrés Espinal
Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm. IEEE Access 7 (2019)
Juan de Anda-Suárez, Solai Jeyakumar, Martín Carpio, Héctor J. Puga, Alfonso Rojas Domínguez, Laura Cruz Reyes, Juan F. Mosiño
Parameter optimization for the smoothed-particle hydrodynamics method by means of evolutionary metaheuristics. Comput. Phys. Commun. 243 (2019)
Oscar Frausto-Pérez, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, Héctor Puga, Martín Carpio
Entrenamiento dinámico de redes convolucionales profundas para clasificación de imágenes. Res. Comput. Sci. 148 (7) (2019)
Alfonso Rojas Domínguez, Didier Barradas-Bautista, Matías Alvarado
Modeling the Game of Go by Ising Hamiltonian, Deep Belief Networks and Common Fate Graphs. IEEE Access 7 (2019)
S. Ivvan Valdez, Alfonso Rojas Domínguez
An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks. CoRR (2019)
Susana Espinoza-Pérez, Alfonso Rojas Domínguez, Sergio Ivvan Valdez Peña, Luís Ernesto Mancilla-Espinoza
Evolutionary Training of Deep Belief Networks for Handwritten Digit Recognition. Res. Comput. Sci. 148 (3) (2019)
Valentín Calzada-Ledesma, Héctor José Puga Soberanes, Manuel Ornelas-Rodríguez, Alfonso Rojas Domínguez, Juan Martín Carpio Valadez, Andrés Espinal, Jorge Alberto Soria-Alcaraz, Marco Aurelio Sotelo-Figueroa
Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification. IEEE Access 6 (2018)
Luis Carlos Padierna, Martín Carpio, Alfonso Rojas Domínguez, Héctor Puga, Héctor J. Fraire H.
A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family. Pattern Recognit. 84 (2018)
Alfonso Rojas Domínguez, Luis Carlos Padierna, Juan Martín Carpio Valadez, Héctor José Puga Soberanes, Héctor J. Fraire H.
Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis. IEEE Access 6 (2018)
Javier Roberto Veloz Centeno, Alfonso Rojas Domínguez, S. Ivvan Valdez, Manuel Ornelas, Héctor Puga, Martín Carpio
Aprendizaje profundo de representaciones robustas para clasificación multi-instancia y multi-etiqueta de imágenes. Res. Comput. Sci. 147 (5) (2018)
Daniel Duarte-Carrera, Alfonso Rojas Domínguez, Luis Carlos Padierna
Phase Unwrapping for 3D Object Reconstruction by means of Population-based Metaheuristics. Res. Comput. Sci. 147 (11) (2018)
Julio Antonio Jiménez Falcón, Manuel Ornelas-Rodríguez, Marco Aurelio Sotelo-Figueroa, Pedro Antonio López García, Alfonso Rojas Domínguez, Héctor José Puga Soberanes, Velino Esteves-Jiménez
Una comparativa de diferentes parámetros en la construcción evolutiva de descriptores para la clasifcacióncación de imágenes de texturas de piezas arqueológicas. Res. Comput. Sci. 147 (8) (2018)
Juan Pablo Flores-Mendoza, Alfonso Rojas Domínguez, Rafael López-Leyva, Manuel Ornelas-Rodríguez, Raúl Santiago-Montero
Segmentación automática de billetes mexicanos basada en un modelo de color y referencias geométricas. Res. Comput. Sci. 114 (2016)
Carlos Lara-Alvarez, Alfonso Rojas Domínguez
Geometric indexing for recognition of places based on expanded delaunay triangulation. Intell. Data Anal. 20 (s1) (2016)
Rafael López-Leyva, Alfonso Rojas Domínguez, Juan Pablo Flores-Mendoza, Miguel Angel Casillas Araiza, Raúl Santiago-Montero
Comparing Threshold-Selection Methods for Image Segmentation: Application to Defect Detection in Automated Visual Inspection Systems. MCPR (2016)
Carlos Lara-Alvarez, Alfonso Rojas Domínguez, Eduardo Bayro-Corrochano
Geometric Indexing for Recognition of Places. CIARP (2014)
Alfonso Rojas Domínguez, Carlos Lara-Alvarez, Eduardo Bayro-Corrochano
Automated Banknote Identification Method for the Visually Impaired. CIARP (2014)
Alfonso Rojas Domínguez, Asoke K. Nandi
Toward breast cancer diagnosis based on automated segmentation of masses in mammograms. Pattern Recognit. 42 (6) (2009)
Alfonso Rojas Domínguez, Asoke K. Nandi
Development of tolerant features for characterization of masses in mammograms. Comput. Biol. Medicine 39 (8) (2009)
Alfonso Rojas Domínguez, Asoke K. Nandi
Detection of masses in mammograms via statistically based enhancement, multilevel-thresholding segmentation, and region selection. Comput. Medical Imaging Graph. 32 (4) (2008)
Alfonso Rojas Domínguez, Asoke K. Nandi
Detailed-contour insensitive features for automated analysis of breast masses in mammograms. ICASSP (2008)
Alfonso Rojas Domínguez, Asoke K. Nandi
Enhanced Multi-Level Thresholding Segmentation and Rank Based Region Selection for Detection of Masses in Mammograms. ICASSP (1) (2007)