Héctor-Gabriel Acosta-Mesa

According to our database1, Héctor-Gabriel Acosta-Mesa authored at least 34 papers between 1998 and 2020.

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

Timeline

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Article 
PhD thesis 
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On csauthors.net:

Bibliography

2020
Towards a Transfer Learning Strategy in Full Model Selection Algorithm for Temporal Data Mining.
Res. Comput. Sci., 2020

A multi-breakpoints approach for symbolic discretization of time series.
Knowl. Inf. Syst., 2020

2019
Adaptive boundary constraint-handling scheme for constrained optimization.
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
A Windowing strategy for Distributed Data Mining optimized through GPUs.
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
A Performance Prediction Model for Database Environments: A Preliminary Analysis.
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

Tracking and prediction of motion of segmented regions using the Kalman filter.
Proceedings of the 24th International Conference on Electronics, 2014

2013
An Image Registration Method for Colposcopic Images.
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
Times Series Discretization Using Evolutionary Programming.
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

Discretization of Time Series Dataset with a Genetic Search.
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

Diagnosis of breast cancer using Bayesian networks: A case study.
Comput. Biol. Medicine, 2007

Modeling Aceto-White Temporal Patterns to Segment Colposcopic Images.
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

Bayesian Model Combination and Its Application to Cervical Cancer Detection.
Proceedings of the Advances in Artificial Intelligence, 2006

Diagnosis of Chronic Idiopathic Inflammatory Bowel Disease Using Bayesian Networks.
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

Cervical Cancer Detection Using Colposcopic Images: a Temporal Approach.
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


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