Nicandro Cruz-Ramírez
According to our database1,
Nicandro Cruz-Ramírez
authored at least 48 papers
between 2004 and 2024.
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Bibliography
2024
ClassNoise: An R package for modeling, generating, and validating data with class noise.
SoftwareX, 2024
2023
dplbnDE: An R package for discriminative parameter learning of Bayesian Networks by Differential Evolution.
SoftwareX, July, 2023
A Bayesian Network Framework to Study Class Noise: Exploring the Filtering of Completely Random Noise.
Proceedings of the Artificial Intelligence Research and Development, 2023
2020
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Towards a Quantitative Identification of Mobile Social Media UIDPs' Visual Features Using a Combination of Digital Image Processing and Machine Learning Techniques.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020
Data-Driven Bayesian Network Learning: Towards a Bi-Objective Approach to Address the Bias-Variance Decomposition.
Res. Comput. Sci., 2020
Discriminative Parameter Learning of Bayesian Networks Using Differential Evolution: A Preliminary Analysis.
Res. Comput. Sci., 2020
Res. Comput. Sci., 2020
Res. Comput. Sci., 2020
2019
Robust algorithm of Clustering for the Detection of Hidden Variables in Bayesian Networks.
Res. Comput. Sci., 2019
Towards a Proposal of Personalized Medical Decision Support Systems: Analysis of Gene Expression Levels of Diabetes Mellitus, Inflammation and Oxidative Stress in Alzheimer's Disease.
Res. Comput. Sci., 2019
Knowl. Inf. Syst., 2019
2018
Dynamic differential evolution with combined variants and a repair method to solve dynamic constrained optimization problems: an empirical study.
Soft Comput., 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
Adv. Multim., 2017
2016
Un modelo de red bayesiana de la informalidad laboral en Veracruz orientado a una simulación social basada en agentes.
Res. Comput. Sci., 2016
Proceedings of the Mining Intelligence and Knowledge Exploration, 2016
Proceedings of the Engineering Multi-Agent Systems - 4th International Workshop, 2016
2015
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015
Differential Evolution with a Repair Method to Solve Dynamic Constrained Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
A Repair Method for Differential Evolution with Combined Variants to Solve Dynamic Constrained Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 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
Collaborative Data Mining on a BDI Multi-agent System over Vertically Partitioned Data.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 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
Proceedings of the Advances in Soft Computing and Its Applications, 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
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
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
Automatic Construction of Bayesian Network Structures by Means of a Concurrent Search Mechanism.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 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
Bayes-N: An Algorithm for Learning Bayesian Networks from Data Using Local Measures of Information Gain Applied to Classification Problems.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 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
Proceedings of the 5th Mexican International Conference on Computer Science (ENC 2004), 2004