J. Carrasco-Ochoa

发表

Pattern Recognition: 12th Mexican Conference, MCPR 2020, Morelia, Mexico, June 24–27, 2020, Proceedings

Jesús Ariel Carrasco-Ochoa, Elisa Bertino, José Francisco Martínez-Trinidad, 2020, Lecture Notes in Computer Science.

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Selene Hernández-Rodríguez, 2010, Pattern Recognition.

A survey on feature selection methods for mixed data

José Francisco Martínez Trinidad, José Francisco Martínez-Trinidad, J. Ariel Carrasco-Ochoa, 2021, Artificial Intelligence Review.

An Explainable Artificial Intelligence Model for Clustering Numerical Databases

Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Raúl Monroy, 2020, IEEE Access.

An improved algorithm for partial clustering

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, G. Melendez-Melendez, 2019, Expert Syst. Appl..

Mining patterns for clustering on numerical datasets using unsupervised decision trees

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, 2015, Knowl. Based Syst..

Mining patterns for clustering using unsupervised decision trees

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, 2015, Intell. Data Anal..

A review of unsupervised feature selection methods

José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, Saúl Solorio-Fernández, 2019, Artificial Intelligence Review.

Building fast decision trees from large training sets

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, 2012, Intell. Data Anal..

A survey of emerging patterns for supervised classification

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, 2012, Artificial Intelligence Review.

Immediate water quality assessment in shrimp culture using fuzzy inference systems

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Luis Pastor Sánchez Fernández, 2012, Expert Syst. Appl..

A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors †

Jesús Ariel Carrasco-Ochoa, Raúl Monroy, Milton García-Borroto, 2019, Sensors.

PBC4cip: A new contrast pattern-based classifier for class imbalance problems

Jesús Ariel Carrasco-Ochoa, Raúl Monroy, Milton García-Borroto, 2017, Knowl. Based Syst..

A review of instance selection methods

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Josef Kittler, 2010, Artificial Intelligence Review.

Cost-Sensitive Pattern-Based classification for Class Imbalance problems

Octavio Octavio Loyola-González, José FCO. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, 2019, IEEE Access.

Pattern Recognition

Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López, 2018, Lecture Notes in Computer Science.

Assessment and prediction of air quality using fuzzy logic and autoregressive models

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Luis P. Sánchez-Fernández, 2012 .

Advances in Pattern Recognition

Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Josef Kittler, 2013 .

A review of conceptual clustering algorithms

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Airel Pérez Suárez, 2018, Artificial Intelligence Review.

An algorithm based on density and compactness for dynamic overlapping clustering

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2013, Pattern Recognit..

A new hybrid filter-wrapper feature selection method for clustering based on ranking

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Saúl Solorio-Fernández, 2016, Neurocomputing.

Decision tree induction using a fast splitting attribute selection for large datasets

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, 2011, Expert Syst. Appl..

An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Julio Hernandez, 2013, CIARP.

Extensions to AGraP Algorithm for Finding a Reduced Set of Inexact Graph Patterns

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Marisol Flores-Garrido, 2018, Int. J. Pattern Recognit. Artif. Intell..

AGraP: an algorithm for mining frequent patterns in a single graph using inexact matching

José Francisco Martínez Trinidad, Marisol Flores-Garrido, J. Carrasco-Ochoa, 2015, Knowledge and Information Systems.

Graph Clustering via Inexact Patterns

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Marisol Flores-Garrido, 2014, CIARP.

Mining maximal frequent patterns in a single graph using inexact matching

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Marisol Flores-Garrido, 2014, Knowl. Based Syst..

Mining Frequent Connected Subgraphs Reducing the Number of Candidates

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2008, ECML/PKDD.

Mining Generalized Closed Patterns from Multi-graph Collections

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2017, CIARP.

Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers

Jesús Ariel Carrasco-Ochoa, Nelva Nely Almanza Ortega, José Fco. Martínez-Trinidad, 2020, MCPR.

Computing Constructs by Using Typical Testor Algorithms

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Manuel Lazo-Cortés, 2015, MCPR.

On the relation between rough set reducts and typical testors

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Manuel Lazo-Cortés, 2015, Inf. Sci..

Are Reducts and Typical Testors the Same?

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Manuel Lazo-Cortés, 2014, CIARP.

On Two Definitions of Reduct

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Manuel Lazo-Cortés, 2014, MCPR.

Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Manuel Lazo-Cortés, 2013, CIARP.

MinReduct: A new algorithm for computing the shortest reducts

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, 2020, Pattern Recognit. Lett..

Evaluation of quality measures for contrast patterns by using unseen objects

Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, José Fco. Martínez-Trinidad, 2017, Expert Syst. Appl..

Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, 2016, Neurocomputing.

Automatic filter coefficient calculation in lifting scheme wavelet transform for lossless image compression

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, 2020, The Visual Computer.

Mining Frequent Similar Patterns on Mixed Data

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Ruiz-Shulcloper, 2008, CIARP.

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, 2010, MCPR.

Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, 2009, CIARP.

A new fast prototype selection method based on clustering

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, 2010, Pattern Analysis and Applications.

Prototype Selection Via Prototype Relevance

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, 2008, CIARP.

Mixed Data Object Selection Based on Clustering and Border Objects

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, 2007, CIARP.

InstanceRank based on borders for instance selection

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Pablo Hernandez-Leal, 2013, Pattern Recognit..

Gait Recognition Based on Silhouette, Contour and Classifier Ensembles

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, M. Romero-Moreno, 2008, CIARP.

K-means based method for overlapping document clustering

Jesús Ariel Carrasco-Ochoa, Darnes Vilariño Ayala, David Pinto, 2020, J. Intell. Fuzzy Syst..

Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition

Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Josef Kittler, 2010 .

A review of conceptual clustering algorithms

José Francisco Martínez Trinidad, A. P. Suárez, J. Carrasco-Ochoa, 2019, Artificial Intelligence Review.

A survey of emerging patterns for supervised classification

José Francisco Martínez Trinidad, J. A. Carrasco-Ochoa, Milton García-Borroto, 2014, Artificial Intelligence Review.

Conceptual K-Means Algorithm Based on Complex Features

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Irene Olaya Ayaquica-Martínez, 2006, CIARP.

Conceptual K-Means Algorithm with Similarity Functions

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Irene Olaya Ayaquica-Martínez, 2005, CIARP.

Automatic filter coefficient calculation in lifting scheme wavelet transform for lossless image compression

Ignacio Hernández-Bautista, J. A. Carrasco-Ochoa, J. J. Carbajal-Hernández, 2020, The Visual Computer.

General framework for class-specific feature selection

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Bárbara B. Pineda-Bautista, 2011, Expert Syst. Appl..

A Node Linkage Approach for Sequential Pattern Mining

Jesús Ariel Carrasco-Ochoa, René Cumplido, Claudia Feregrino-Uribe, 2014, PloS one.

RP-Miner: a relaxed prune algorithm for frequent similar pattern mining

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Ruiz-Shulcloper, 2011, Knowledge and Information Systems.

Adjustment of Wavelet Filters for Image Compression Using Artificial Intelligence

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Oleksiy B. Pogrebnyak, 2016, Polibits.

Effect of class imbalance on quality measures for contrast patterns: An experimental study

Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, José Fco. Martínez-Trinidad, 2016, Inf. Sci..

Studying Netconf in Hybrid Rule Ordering Strategies for Associative Classification

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Hernández Palancar, 2014, MCPR.

Combining hybrid rule ordering strategies based on netconf and a novel satisfaction mechanism for CAR-based classifiers

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Hernández Palancar, 2014, Intell. Data Anal..

CAR-NF: A classifier based on specific rules with high netconf

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Hernández Palancar, 2012, Intell. Data Anal..

LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Ruiz-Shulcloper, 2010, Pattern Recognit..

Pattern Recognition

Jesús Ariel Carrasco-Ochoa, Ching Y. Suen, José Francisco Martínez-Trinidad, 2014, Lecture Notes in Computer Science.

A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Saúl Solorio-Fernández, 2017, Pattern Recognit..

Water quality assessment in shrimp culture using an analytical hierarchical process

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Luis P. Sánchez-Fernández, 2013 .

A PSO-based algorithm for mining association rules using a guided exploration strategy

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Rosa Maria Valdovinos, 2020, Pattern Recognit. Lett..

On the Use of Constructs for Rule-Based Classification: A Case Study

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Manuel Lazo-Cortés, 2019, MCPR.

Class-Specific Reducts vs. Classic Reducts in a Rule-Based Classifier: A Case Study

Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Manuel Lazo-Cortés, 2018, MCPR.

Applying balancing techniques in traffic sign recognition

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Juan Gabriel Aviña-Cervantes, 2014, Artif. Intell. Res..

Improving graph-based image classification by using emerging patterns as attributes

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2016, Eng. Appl. Artif. Intell..

Multivariate Decision Trees Using Different Splitting Attribute Subsets for Large Datasets

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz, 2010, Canadian Conference on AI.

Accurate and fast prototype selection based on the notion of relevant and border prototypes

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, 2018, Journal of Intelligent & Fuzzy Systems.

Mining clique frequent approximate subgraphs from multi-graph collections

Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Eladio Medina-Pagola, 2020, Applied Intelligence.

Mining clique frequent approximate subgraphs from multi-graph collections

J. Medina-Pagola, José Francisco Martínez-Trinidad, J. Carrasco-Ochoa, 2019, Applied Intelligence.

Extension of Canonical Adjacency Matrices for Frequent Approximate Subgraph Mining on Multi-Graph Collections

Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, Andrés Gago Alonso, 2017, Int. J. Pattern Recognit. Artif. Intell..

A new algorithm for approximate pattern mining in multi-graph collections

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2016, Knowl. Based Syst..

A New Method Based on Graph Transformation for FAS Mining in Multi-graph Collections

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2015, MCPR.

Mining frequent patterns and association rules using similarities

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Ruiz-Shulcloper, 2013, Expert Syst. Appl..

Classification based on specific rules and inexact coverage

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Hernández Palancar, 2012, Expert Syst. Appl..

Reducing the Number of Canonical Form Tests for Frequent Subgraph Mining

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2011, Computación y Sistemas.

Classifying Using Specific Rules with High Confidence

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Hernández Palancar, 2010, 2010 Ninth Mexican International Conference on Artificial Intelligence.

Full duplicate candidate pruning for frequent connected subgraph mining

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2010, Integr. Comput. Aided Eng..

A new algorithm for mining frequent connected subgraphs based on adjacency matrices

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Eladio Medina-Pagola, 2010, Intell. Data Anal..

A Novel Incremental Algorithm for Frequent Itemsets Mining in Dynamic Datasets

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Hernández Palancar, 2008, CIARP.

Taking Advantage of Class-Specific Feature Selection

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Bárbara B. Pineda-Bautista, 2009, IDEAL.

Object Selection Based on Clustering and Border Objects

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, 2008, Computer Recognition Systems 2.

SMOTE-D a Deterministic Version of SMOTE

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Fredy Rodríguez Torres, 2016, MCPR.

Study of Overlapping Clustering Algorithms Based on Kmeans through FBcubed Metric

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, 2014, MCPR.

Correlation of Resampling Methods for Contrast Pattern Based Classifiers

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto, 2015, MCPR.

Deterministic oversampling methods based on SMOTE

Jesús Ariel Carrasco-Ochoa, Fredy Rodríguez Torres, José Fco. Martínez-Trinidad, 2019, J. Intell. Fuzzy Syst..

Hybrid feature selection method for biomedical datasets

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Yanqing Zhang, 2012, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Document Clustering Based on Maximal Frequent Sequences

José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, René Arnulfo García-Hernández, 2006, FinTAL.