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Alfonso Rojas Domínguez
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2020 – today
- 2024
- [c9]Carlos Orozco-Solis, Alfonso Rojas Domínguez
, Héctor Puga
Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stopping Based on Similarity Metrics. MCPR 2024: 387-396 - [p11]Angel E. Rosales-Morales
Generative Models for Class Imbalance Problem on BreakHis Dataset: A Case Study. New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics 2024: 105-119 - [p10]Juan Manuel Pérez-Rocha, Juan Martín Carpio, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, Héctor José Puga Soberanes, Marco Aurelio Sotelo-Figueroa:
Intensification Process Applied to Codon Selection in Grammatical Evolution. New Directions on Hybrid Intelligent Systems 2024: 129-139 - 2023
- [j27]Alfonso Rojas Domínguez
Improved training of deep convolutional networks via minimum-variance regularized adaptive sampling. Soft Comput. 27(18): 13237-13253 (2023) - 2022
- [j26]Alfonso Rojas Domínguez
Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian. BMC Bioinform. 23(1): 200 (2022) - [j25]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): 173-194 (2022) - [j24]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): 123-139 (2022) - 2021
- [j23]Lucero Ortiz-Aguilar
A Methodology to Determine the Subset of Heuristics for Hyperheuristics through Metalearning for Solving Graph Coloring and Capacitated Vehicle Routing Problems. Complex. 2021: 6660572:1-6660572:22 (2021) - [c8]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: 1-8 - [c7]Jorge Ivan Avalos-López, Alfonso Rojas Domínguez
Efficient Training of Deep Learning Models Through Improved Adaptive Sampling. MCPR 2021: 141-152 - 2020
- [j22]Blanca Verónica Zuñiga-Nuñez, Juan Martín Carpio, Marco Aurelio Sotelo-Figueroa, Andrés Espinal, Omar Jair Purata-Sifuentes
Exploring Random Permutations Effects on the Mapping Process for Grammatical Evolution. J. Autom. Mob. Robotics Intell. Syst. 14(1): 65-72 (2020) - [j21]Carlos Juarez-Santini, Manuel Ornelas-Rodríguez
Single Spiking Neuron Multi-Objective Optimization for Pattern Classification. J. Autom. Mob. Robotics Intell. Syst. 14(1): 73-80 (2020) - [j20]Alfonso Rojas Domínguez, Matías Alvarado:
Editorial for Thematic Section "Machine Learning for Health Care: Modeling, Analysis and Computer Simulation". Res. Comput. Sci. 149(5): 113-114 (2020) - [j19]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): 115-124 (2020) - [j18]Alfonso Rojas Domínguez:
Machine Learning Techniques for Diagnosis of Breast Cancer. Res. Comput. Sci. 149(5): 125-135 (2020) - [c6]Rafael Augusto Rocha Angulo, Juan Martín Carpio
A Novel Set of Moment Invariants for Pattern Recognition Applications Based on Jacobi Polynomials. MCPR 2020: 139-148 - [p9]Blanca Verónica Zuñiga-Nuñez, Juan Martín Carpio
Studying Grammatical Evolution's Mapping Processes for Symbolic Regression Problems. Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms 2020: 445-459 - [p8]Juan A. Montesino-Guerra
Combinatorial Designs on Constraint Satisfaction Problem (VRP). Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms 2020: 509-526 - [p7]G. López-Vázquez, Andrés Espinal, Manuel Ornelas-Rodríguez
Comparing Evolutionary Artificial Neural Networks from Second and Third Generations for Solving Supervised Classification Problems. Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms 2020: 615-628 - [p6]Antonio Herrera-Acosta, Alfonso Rojas Domínguez, Juan Martín Carpio
Gegenbauer-Based Image Descriptors for Visual Scene Recognition. Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms 2020: 629-643
2010 – 2019
- 2019
- [j17]Alfonso Rojas Domínguez
Modeling the Game of Go by Ising Hamiltonian, Deep Belief Networks and Common Fate Graphs. IEEE Access 7: 120117-120127 (2019) - [j16]Juan de Anda-Suárez
Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm. IEEE Access 7: 154859-154871 (2019) - [j15]G. López-Vázquez
Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems. Comput. Intell. Neurosci. 2019: 4182639:1-4182639:13 (2019) - [j14]Juan de Anda-Suárez
Parameter optimization for the smoothed-particle hydrodynamics method by means of evolutionary metaheuristics. Comput. Phys. Commun. 243: 30-40 (2019) - [j13]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): 115-131 (2019) - [j12]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): 305-318 (2019) - [i1]S. Ivvan Valdez, Alfonso Rojas Domínguez:
An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks. CoRR abs/1907.05951 (2019) - 2018
- [j11]Alfonso Rojas Domínguez
Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis. IEEE Access 6: 7164-7176 (2018) - [j10]Valentín Calzada-Ledesma
Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification. IEEE Access 6: 40450-40462 (2018) - [j9]Luis Carlos Padierna
A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family. Pattern Recognit. 84: 211-225 (2018) - [j8]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): 37-49 (2018) - [j7]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): 83-93 (2018) - [j6]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): 21-30 (2018) - [p5]Olga Quiroz-Ramírez, Andrés Espinal
Partially-Connected Artificial Neural Networks Developed by Grammatical Evolution for Pattern Recognition Problems. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 99-112 - [p4]Adán Godínez-Bautista, Luis Carlos Padierna
Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 115-130 - [p3]Valentín Calzada-Ledesma
A Comparison of Image Texture Descriptors for Pattern Classification. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 515-525 - 2017
- [p2]Valentín Calzada-Ledesma
Comparing Grammatical Evolution's Mapping Processes on Feature Generation for Pattern Recognition Problems. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 775-785 - [p1]Luis Carlos Padierna
Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 787-800 - 2016
- [j5]Carlos Lara-Alvarez
Geometric indexing for recognition of places based on expanded delaunay triangulation. Intell. Data Anal. 20(s1): S95-S107 (2016) - [j4]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: 97-110 (2016) - [c5]Rafael López-Leyva, Alfonso Rojas Domínguez
Comparing Threshold-Selection Methods for Image Segmentation: Application to Defect Detection in Automated Visual Inspection Systems. MCPR 2016: 33-43 - 2014
- [c4]Carlos Lara-Alvarez
Geometric Indexing for Recognition of Places. CIARP 2014: 548-555 - [c3]Alfonso Rojas Domínguez, Carlos Lara-Alvarez
Automated Banknote Identification Method for the Visually Impaired. CIARP 2014: 572-579
2000 – 2009
- 2009
- [j3]Alfonso Rojas Domínguez
Development of tolerant features for characterization of masses in mammograms. Comput. Biol. Medicine 39(8): 678-688 (2009) - [j2]Alfonso Rojas Domínguez
Toward breast cancer diagnosis based on automated segmentation of masses in mammograms. Pattern Recognit. 42(6): 1138-1148 (2009) - 2008
- [j1]Alfonso Rojas Domínguez
Detection of masses in mammograms via statistically based enhancement, multilevel-thresholding segmentation, and region selection. Comput. Medical Imaging Graph. 32(4): 304-315 (2008) - [c2]Alfonso Rojas Domínguez
Detailed-contour insensitive features for automated analysis of breast masses in mammograms. ICASSP 2008: 585-588 - 2007
- [c1]Alfonso Rojas Domínguez
Enhanced Multi-Level Thresholding Segmentation and Rank Based Region Selection for Detection of Masses in Mammograms. ICASSP (1) 2007: 449-452
Coauthor Index
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