Milton García-Borroto

Author

National Institute of Astrophysics, Optics and Electronics ORCID

Also Known As

García-Borroto Milton, M. Garcia-Borroto, M. García-Borroto, M. García‐Borroto, Milton Garcia-Borroto, Milton García-Borroto

Publications

923

Citations

H-Index

Concepts

All Affiliations

National Institute of Astrophysics, Optics and Electronics Universidad de Ciego de Ávila Polytechnic José Antonio Echeverría Tecnológico de Monterrey Instituto Politécnico Nacional

About

Milton García-Borroto is an author at National Institute of Astrophysics, Optics and Electronics specializing in pattern recognition, engineering, and data mining.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	17	706
2	Biostatistics	5	5	145
3	Management	3	3	115
4	Medicine	1	1	12
5	Biomedical Engineering	1	1	12

Milton García-Borroto

Publications

733

Citations

H-Index

Page 1

	Year	Citations
Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases Octavio Loyola‐González, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Neurocomputing Data ClassificationClassification MethodImage AnalysisMachine LearningData Science	2015	171
PBC4cip: A new contrast pattern-based classifier for class imbalance problems Octavio Loyola‐González, Miguel Angel Medina‐Pérez, José Fco. Martínez-Trinidad, Knowledge-Based Systems Data ClassificationClassification MethodImage AnalysisMachine LearningData Science	2016	68
Improving Fingerprint Verification Using Minutiae Triplets Miguel Angel Medina‐Pérez, Milton García-Borroto, Andres E. Gutierrez-Rodríguez, Sensors Image AnalysisMinutiae TripletsEngineeringBiometric PrivacyPattern Recognition	2012	66
An Explainable Artificial Intelligence Model for Clustering Numerical Databases Octavio Loyola‐González, Andres E. Gutierrez-Rodríguez, Miguel Angel Medina‐Pérez, IEEE Access Artificial IntelligenceEngineeringMachine LearningDecision TreesMachine Learning Tool	2020	48
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects Ángel Miguel García-Vico, C. J. Carmona, Daniel Delmás Martín, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery EngineeringPattern DiscoveryPattern MiningText MiningKnowledge Discovery In Databases	2017	46
A survey of emerging patterns for supervised classification Milton García-Borroto, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa Artificial Intelligence Review Data ClassificationClassification MethodImage AnalysisMachine LearningData Science	2012	40
LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification Milton García-Borroto, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Pattern Recognition Data ClassificationClassification MethodEngineeringMachine LearningInformation Retrieval	2010	37
Latent fingerprint identification using deformable minutiae clustering Miguel Angel Medina‐Pérez, Aythami Morales, Miguel A. Ferrer, Neurocomputing EngineeringData MiningPattern RecognitionBiometricsDermatoglyphic	2015	36
Fuzzy emerging patterns for classifying hard domains Milton García-Borroto, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa Knowledge and Information Systems Fuzzy LogicEngineeringMachine LearningData ScienceData Mining	2010	35
Mining patterns for clustering on numerical datasets using unsupervised decision trees Andres E. Gutierrez-Rodríguez, José Fco. Martínez-Trinidad, Milton García-Borroto, Knowledge-Based Systems Cluster ComputingEngineeringData ScienceData MiningPattern Recognition	2015	34

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