Alfonso Rojas Domínguez
Orcid: 0000-0003-1818-4162
According to our database1,
Alfonso Rojas Domínguez
authored at least 48 papers
between 2007 and 2024.
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Bibliography
2024
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stopping Based on Similarity Metrics.
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024
2023
Improved training of deep convolutional networks via minimum-variance regularized adaptive sampling.
Soft Comput., 2023
2022
Optimización de hiperparámetros de una red Long Short Term Memory para pronósticos financieros.
Res. Comput. Sci., 2022
J. Ambient Intell. Smart Environ., 2022
Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian.
BMC Bioinform., 2022
2021
A Methodology to Determine the Subset of Heuristics for Hyperheuristics through Metalearning for Solving Graph Coloring and Capacitated Vehicle Routing Problems.
Complex., 2021
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021
Fuzzy-Regulated Assistant based on Mental Engagement: A Multi-Agent Approach to Elderly Care.
Proceedings of the 17th International Conference on Intelligent Environments, 2021
2020
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Comparing Evolutionary Artificial Neural Networks from Second and Third Generations for Solving Supervised Classification Problems.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Res. Comput. Sci., 2020
Editorial for Thematic Section "Machine Learning for Health Care: Modeling, Analysis and Computer Simulation".
Res. Comput. Sci., 2020
Exploring Random Permutations Effects on the Mapping Process for Grammatical Evolution.
J. Autom. Mob. Robotics Intell. Syst., 2020
J. Autom. Mob. Robotics Intell. Syst., 2020
A Novel Set of Moment Invariants for Pattern Recognition Applications Based on Jacobi Polynomials.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020
2019
Entrenamiento dinámico de redes convolucionales profundas para clasificación de imágenes.
Res. Comput. Sci., 2019
Res. Comput. Sci., 2019
Parameter optimization for the smoothed-particle hydrodynamics method by means of evolutionary metaheuristics.
Comput. Phys. Commun., 2019
An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks.
CoRR, 2019
Comput. Intell. Neurosci., 2019
Modeling the Game of Go by Ising Hamiltonian, Deep Belief Networks and Common Fate Graphs.
IEEE Access, 2019
Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm.
IEEE Access, 2019
2018
Partially-Connected Artificial Neural Networks Developed by Grammatical Evolution for Pattern Recognition Problems.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
Una comparativa de diferentes parámetros en la construcción evolutiva de descriptores para la clasifcacióncación de imágenes de texturas de piezas arqueológicas.
Res. Comput. Sci., 2018
Phase Unwrapping for 3D Object Reconstruction by means of Population-based Metaheuristics.
Res. Comput. Sci., 2018
Aprendizaje profundo de representaciones robustas para clasificación multi-instancia y multi-etiqueta de imágenes.
Res. Comput. Sci., 2018
A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family.
Pattern Recognit., 2018
Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis.
IEEE Access, 2018
IEEE Access, 2018
2017
Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Comparing Grammatical Evolution's Mapping Processes on Feature Generation for Pattern Recognition Problems.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
2016
Segmentación automática de billetes mexicanos basada en un modelo de color y referencias geométricas.
Res. Comput. Sci., 2016
Geometric indexing for recognition of places based on expanded delaunay triangulation.
Intell. Data Anal., 2016
Comparing Threshold-Selection Methods for Image Segmentation: Application to Defect Detection in Automated Visual Inspection Systems.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016
2014
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2009
Toward breast cancer diagnosis based on automated segmentation of masses in mammograms.
Pattern Recognit., 2009
Comput. Biol. Medicine, 2009
2008
Detection of masses in mammograms via statistically based enhancement, multilevel-thresholding segmentation, and region selection.
Comput. Medical Imaging Graph., 2008
Detailed-contour insensitive features for automated analysis of breast masses in mammograms.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Enhanced Multi-Level Thresholding Segmentation and Rank Based Region Selection for Detection of Masses in Mammograms.
Proceedings of the IEEE International Conference on Acoustics, 2007