Alfonso Rojas Domínguez

Orcid: 0000-0003-1818-4162

According to our database1, Alfonso Rojas Domínguez authored at least 48 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generative Models for Class Imbalance Problem on BreakHis Dataset: A Case Study.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024

Intensification Process Applied to Codon Selection in Grammatical Evolution.
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

Fuzzy multi-agent assistance system for elderly care based on user engagement.
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

Efficient Training of Deep Learning Models Through Improved Adaptive Sampling.
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
Studying Grammatical Evolution's Mapping Processes for Symbolic Regression Problems.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Combinatorial Designs on Constraint Satisfaction Problem (VRP).
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

Gegenbauer-Based Image Descriptors for Visual Scene Recognition.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

CAD of Breast Cancer: A Decade-Long Review of Techniques for Mammography Analysis.
Res. Comput. Sci., 2020

Editorial for Thematic Section "Machine Learning for Health Care: Modeling, Analysis and Computer Simulation".
Res. Comput. Sci., 2020

Machine Learning Techniques for Diagnosis of Breast Cancer.
Res. Comput. Sci., 2020

Exploring Random Permutations Effects on the Mapping Process for Grammatical Evolution.
J. Autom. Mob. Robotics Intell. Syst., 2020

Single Spiking Neuron Multi-Objective Optimization for Pattern Classification.
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

Evolutionary Training of Deep Belief Networks for Handwritten Digit Recognition.
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

Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems.
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

A Comparison of Image Texture Descriptors for Pattern Classification.
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

Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification.
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
Geometric Indexing for Recognition of Places.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Automated Banknote Identification Method for the Visually Impaired.
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

Development of tolerant features for characterization of masses in mammograms.
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


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