Nicandro Cruz-Ramírez

According to our database1, Nicandro Cruz-Ramírez authored at least 45 papers between 2004 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

2020
Towards an Agent-Based Model for the Analysis of Macroeconomic Signals.
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

Towards Windowing as a Sub-Sampling Method for Distributed Data Mining.
Res. Comput. Sci., 2020

Evaluation of the Intervention Operator in Causal Bayesian Networks.
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

Modeling and implementing distributed data mining strategies in JaCa-DDM.
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
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

Strategies for Growing User Popularity through Retweet: An Empirical Study.
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

Retweet Influence on User Popularity Over Time: An Empirical Study.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2016

A Namespace Approach for Modularity in BDI Programming Languages.
Proceedings of the Engineering Multi-Agent Systems - 4th International Workshop, 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

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

Differential evolution with combined variants for dynamic constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 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

An Agents and Artifacts Approach to Distributed Data Mining.
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
Times Series Discretization Using Evolutionary Programming.
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

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
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

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
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

A Method Based on Genetic Algorithms and Fuzzy Logic to Induce Bayesian Networks.
Proceedings of the 5th Mexican International Conference on Computer Science (ENC 2004), 2004


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