Héctor-Gabriel Acosta-Mesa
Orcid: 0000-0002-0935-7642
According to our database1,
Héctor-Gabriel Acosta-Mesa
authored at least 56 papers
between 1998 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Tree-Based Codification in Neural Architecture Search for Medical Image Segmentation.
IEEE Trans. Evol. Comput., June, 2024
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Computational Cost Reduction in Wrapper Approaches for Feature Selection: A Case of Study Using Permutational-Based Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI).
IEEE Access, 2023
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Use of a Surrogate Model for Symbolic Discretization of Temporal Data Sets Through eMODiTS and a Training Set with Varying-Sized Instances.
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Blood Cell Image Segmentation Using Convolutional Decision Trees and Differential Evolution.
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
A Surrogate-Assisted Differential Evolution Approach for the Optimization of Ben's Spiker Algorithm Parameters.
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Analysis of Proteins in Microscopic Skin Images Using Machine Vision Techniques as a Tool for Detecting Alzheimer's Disease.
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Experimental Study of the Instance Sampling Effect on Feature Subset Selection Using Permutational-Based Differential Evolution.
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Differential Evolution.
Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023
2022
Quantification of the presence of enzymes in gelatin zymography using the Gini index.
J. Bioinform. Comput. Biol., December, 2022
IEEE Trans. Evol. Comput., 2022
2021
Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns.
Biomed. Signal Process. Control., 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Evolution of Generative Adversarial Networks Using PSO for Synthesis of COVID-19 Chest X-ray Images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Towards a Transfer Learning Strategy in Full Model Selection Algorithm for Temporal Data Mining.
Res. Comput. Sci., 2020
Knowl. Inf. Syst., 2020
2019
Soft Comput., 2019
2018
Semi-Automatic Analysis for Unidimensional Immunoblot Images to Discriminate Breast Cancer Cases Using Time Series Data Mining.
Int. J. Pattern Recognit. Artif. Intell., 2018
2017
Pattern Recognit. Lett., 2017
Improved multi-objective clustering with automatic determination of the number of clusters.
Neural Comput. Appl., 2017
A feature selection method based on a neighborhood approach for contending with functional and anatomical variability in fMRI group analysis of cognitive states.
Intell. Data Anal., 2017
Optimization of Classification Strategies of Acetowhite Temporal Patterns towards Improving Diagnostic Performance of Colposcopy.
Comput. Math. Methods Medicine, 2017
Full Model Selection issue in temporal data through evolutionary algorithms: A brief review.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Empirical study of bound constraint-handling methods in Particle Swarm Optimization for constrained search spaces.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Cervical image segmentation using active contours and evolutionary programming over temporary acetowhite patterns.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015
A Windowing based GPU optimized strategy for the induction of Decision Trees in JaCa-DDM.
Proceedings of the Artificial Intelligence Research and Development, 2015
2014
Application of time series discretization using evolutionary programming for classification of precancerous cervical lesions.
J. Biomed. Informatics, 2014
Proceedings of the 24th International Conference on Electronics, 2014
2013
Comput. Math. Methods Medicine, 2013
Evaluation of the Diagnostic Power of Thermography in Breast Cancer Using Bayesian Network Classifiers.
Comput. Math. Methods Medicine, 2013
2012
Assessment of Bayesian Network Classifiers as Tools for Discriminating Breast Cancer Pre-diagnosis Based on Three Diagnostic Methods.
Proceedings of the Advances in Artificial Intelligence, 2012
2011
Proceedings of the Advances in Soft Computing, 2011
Classification of cognitive states of attention and relaxation using supervised learning algorithms.
Proceedings of the 2011 IEEE International Games Innovation Conference, 2011
2009
Aceto-white temporal pattern classification using k-NN to identify precancerous cervical lesion in colposcopic images.
Comput. Biol. Medicine, 2009
Discovering interobserver variability in the cytodiagnosis of breast cancer using decision trees and Bayesian networks.
Appl. Soft Comput., 2009
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009
2007
On the Possibility of Reliably Constructing a Decision Support System for the Cytodiagnosis of Breast Cancer.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007
Comparison of the Performance of Seven Classifiers as Effective Decision Support Tools for the Cytodiagnosis of Breast Cancer: A Case Study.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007
Comput. Biol. Medicine, 2007
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007
2006
How Good Are the Bayesian Information Criterion and the Minimum Description Length Principle for Model Selection? A Bayesian Network Analysis.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
Proceedings of the Progress in Pattern Recognition, 2006
2005
A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data.
Proceedings of the Sixth Mexican International Conference on Computer Science (ENC 2005), 2005
Proceedings of the Sixth Mexican International Conference on Computer Science (ENC 2005), 2005
2004
Digital Image Processing of Functional Magnetic Resonance Images to Identify Stereo-Sensitive Cortical Regions Using Dynamic Global Stimuli.
Proceedings of the Advances in Artificial Intelligence, 2004
1998
Specification and Control of Cooperative Work in a Heterogeneous Computing Environment.
Proceedings of the Seventh Heterogeneous Computing Workshop, 1998