Manuel Ornelas
Orcid: 0000-0002-6381-2861
According to our database1,
Manuel Ornelas
authored at least 35 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 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
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
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
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 Methodology for Classifying Search Operators as Intensification or Diversification Heuristics.
Complex., 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
Algoritmo de evolución diferencial con reparador cromosómico aplicado a un problema de secuenciación de vehículos.
Res. Comput. Sci., 2019
Entrenamiento dinámico de redes convolucionales profundas para clasificación de imágenes.
Res. Comput. Sci., 2019
Comput. Intell. Neurosci., 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
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
Aprendizaje profundo de representaciones robustas para clasificación multi-instancia y multi-etiqueta de imágenes.
Res. Comput. Sci., 2018
IEEE Access, 2018
2017
Increase Methodology of Design of Course Timetabling Problem for Students, Classrooms, and Teachers.
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
Gramática evolutiva con estrategia evolutiva como núcleo de una hiperheurística de generación aplicada al problema de empacado.
Res. Comput. Sci., 2017
2016
Segmentación automática de billetes mexicanos basada en un modelo de color y referencias geométricas.
Res. Comput. Sci., 2016
Design of Spiking Central Pattern Generators for Multiple Locomotion Gaits in Hexapod Robots by Christiansen Grammar Evolution.
Frontiers Neurorobotics, 2016
Quadrupedal Robot Locomotion: A Biologically Inspired Approach and Its Hardware Implementation.
Comput. Intell. Neurosci., 2016
Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm.
Comput. Intell. Neurosci., 2016
2015
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Res. Comput. Sci., 2015
2014
Comparing Metaheuristic Algorithms on the Training Process of Spiking Neural Networks.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014
2012
Proceedings of the Workshop Proceedings of the 8th International Conference on Intelligent Environments, 2012
2010
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010