Jesús Ariel Carrasco-Ochoa

Orcid: 0000-0002-9982-7758

Affiliations:
  • Computer Science Department, National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico


According to our database1, Jesús Ariel Carrasco-Ochoa authored at least 187 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Filter unsupervised spectral feature selection method for mixed data based on a new feature correlation measure.
Neurocomputing, February, 2024

Thematic Section: Advances in Pattern Recognition.
Computación y Sistemas (CyS), 2024

Shortest Reducts Versus Shortest Constructs.
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024

2023
Special section: Best papers of the 14th Mexican conference on pattern recognition (MCPR) 2022.
Pattern Recognit. Lett., August, 2023

Thematic Section: Advances in Pattern Recognition.
Computación y Sistemas (CyS), 2023

2022
Algorithm for computing all the shortest reducts based on a new pruning strategy.
Inf. Sci., 2022

Encoding hieroglyph segments to represent hieroglyphs following the bag of visual word model for retrieval.
Expert Syst. Appl., 2022

A survey on feature selection methods for mixed data.
Artif. Intell. Rev., 2022

Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021
Automatic filter coefficient calculation in lifting scheme wavelet transform for lossless image compression.
Vis. Comput., 2021

Virtual special issue on novel data-representation and classification techniques.
Pattern Recognit. Lett., 2021

A new oversampling method in the string space.
Expert Syst. Appl., 2021

Experimental Comparison of Oversampling Methods for Mixed Datasets.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

A Comparative Study of Two Algorithms for Computing the Shortest Reducts: MiLIT and MinReduct.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

2020
A Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis.
Pattern Recognit. Lett., 2020

MinReduct: A new algorithm for computing the shortest reducts.
Pattern Recognit. Lett., 2020

A PSO-based algorithm for mining association rules using a guided exploration strategy.
Pattern Recognit. Lett., 2020

K-means based method for overlapping document clustering.
J. Intell. Fuzzy Syst., 2020

Improved fast partitional clustering algorithm for text clustering.
J. Intell. Fuzzy Syst., 2020

A systematic evaluation of filter Unsupervised Feature Selection methods.
Expert Syst. Appl., 2020

Mining clique frequent approximate subgraphs from multi-graph collections.
Appl. Intell., 2020

A review of unsupervised feature selection methods.
Artif. Intell. Rev., 2020

An Explainable Artificial Intelligence Model for Clustering Numerical Databases.
IEEE Access, 2020

Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

2019
A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors.
Sensors, 2019

Improved Hieroglyph Representation for Image Retrieval.
ACM Journal on Computing and Cultural Heritage, 2019

Deterministic oversampling methods based on SMOTE.
J. Intell. Fuzzy Syst., 2019

Bag of k-nearest visual words for hieroglyph retrieval.
J. Intell. Fuzzy Syst., 2019

Frequent similar pattern mining using non Boolean similarity functions.
J. Intell. Fuzzy Syst., 2019

An improved algorithm for partial clustering.
Expert Syst. Appl., 2019

A review of conceptual clustering algorithms.
Artif. Intell. Rev., 2019

Cost-Sensitive Pattern-Based classification for Class Imbalance problems.
IEEE Access, 2019

On the Relation Between the Concepts of Irreducible Testor and Minimal Transversal.
IEEE Access, 2019

A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

The Mexican Conference on Pattern Recognition After Ten Editions: A Scientometric Study.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

On the Use of Constructs for Rule-Based Classification: A Case Study.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018
Accurate and fast prototype selection based on the notion of relevant and border prototypes.
J. Intell. Fuzzy Syst., 2018

Revisiting two-stage feature selection based on coverage policies for text classification.
J. Intell. Fuzzy Syst., 2018

A new algorithm for reduct computation based on gap elimination and attribute contribution.
Inf. Sci., 2018

Extensions to AGraP Algorithm for Finding a Reduced Set of Inexact Graph Patterns.
Int. J. Pattern Recognit. Artif. Intell., 2018

Editorial.
Int. J. Pattern Recognit. Artif. Intell., 2018

Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss.
Expert Syst. Appl., 2018

Ranking Based Unsupervised Feature Selection Methods: An Empirical Comparative Study in High Dimensional Datasets.
Proceedings of the Advances in Soft Computing, 2018

The Impact of Basic Matrix Dimension on the Performance of Algorithms for Computing Typical Testors.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Including Foreground and Background Information in Maya Hieroglyph Representation.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Class-Specific Reducts vs. Classic Reducts in a Rule-Based Classifier: A Case Study.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Image Clustering Based on Frequent Approximate Subgraph Mining.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Multi-graph Frequent Approximate Subgraph Mining for Image Clustering.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

2017
A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach.
Pattern Recognit., 2017

PBC4cip: A new contrast pattern-based classifier for class imbalance problems.
Knowl. Based Syst., 2017

Extension of Canonical Adjacency Matrices for Frequent Approximate Subgraph Mining on Multi-Graph Collections.
Int. J. Pattern Recognit. Artif. Intell., 2017

Evaluation of quality measures for contrast patterns by using unseen objects.
Expert Syst. Appl., 2017

Fast-BR vs. Fast-CT_EXT: An Empirical Performance Study.
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

A Novel Contrast Pattern Selection Method for Class Imbalance Problems.
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

An Algorithm for Computing Goldman Fuzzy Reducts.
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

Mining Generalized Closed Patterns from Multi-graph Collections.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
Adjustment of Wavelet Filters for Image Compression Using Artificial Intelligence.
Polibits, 2016

A new algorithm for approximate pattern mining in multi-graph collections.
Knowl. Based Syst., 2016

Effect of class imbalance on quality measures for contrast patterns: An experimental study.
Inf. Sci., 2016

Editorial Special Issue MCPR 2014: Advances in pattern recognition methodologies and applications.
Neurocomputing, 2016

A new hybrid filter-wrapper feature selection method for clustering based on ranking.
Neurocomputing, 2016

Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases.
Neurocomputing, 2016

A new algorithm for computing reducts based on the binary discernibility matrix.
Intell. Data Anal., 2016

Improving graph-based image classification by using emerging patterns as attributes.
Eng. Appl. Artif. Intell., 2016

SMOTE-D a Deterministic Version of SMOTE.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016

Detecting Pneumatic Failures on Temporary Immersion Bioreactors.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016

A Glance to the Goldman's Testors from the Point of View of Rough Set Theory.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016

A Multiple classifier system for fast an accurate learning in neural network context.
Proceedings of the Tenth Latin American Workshop on Logic/Languages, 2016

Linear model optimizer vs Neural Networks: A comparison for improving the quality and saving of LED-Lighting control systems.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Pattern recognition applications in computer vision and image analysis.
Pattern Recognit., 2015

Mining patterns for clustering on numerical datasets using unsupervised decision trees.
Knowl. Based Syst., 2015

AGraP: an algorithm for mining frequent patterns in a single graph using inexact matching.
Knowl. Inf. Syst., 2015

On the relation between rough set reducts and typical testors.
Inf. Sci., 2015

Mining patterns for clustering using unsupervised decision trees.
Intell. Data Anal., 2015

A fast hardware software platform for computing irreducible testors.
Expert Syst. Appl., 2015

Finding the best diversity generation procedures for mining contrast patterns.
Expert Syst. Appl., 2015

Correlation of Resampling Methods for Contrast Pattern Based Classifiers.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

Computing Constructs by Using Typical Testor Algorithms.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

Prototype Selection for Graph Embedding Using Instance Selection.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

A Different Approach for Pruning Micro-clusters in Data Stream Clustering.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

A New Method Based on Graph Transformation for FAS Mining in Multi-graph Collections.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

2014
Representative Pattern Mining in Graph Collections.
Res. Comput. Sci., 2014

Introduction to the special issue on supervised and unsupervised classification techniques and their applications.
Pattern Recognit. Lett., 2014

Mining maximal frequent patterns in a single graph using inexact matching.
Knowl. Based Syst., 2014

An empirical comparison among quality measures for pattern based classifiers.
Intell. Data Anal., 2014

Combining hybrid rule ordering strategies based on netconf and a novel satisfaction mechanism for CAR-based classifiers.
Intell. Data Anal., 2014

Applying balancing techniques in traffic sign recognition.
Artif. Intell. Res., 2014

A survey of emerging patterns for supervised classification.
Artif. Intell. Rev., 2014

A hardware architecture for filtering irreducible testors.
Proceedings of the 2014 International Conference on ReConFigurable Computing and FPGAs, 2014

A New Method for Skeleton Pruning.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

On Two Definitions of Reduct.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Studying Netconf in Hybrid Rule Ordering Strategies for Associative Classification.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Study of Overlapping Clustering Algorithms Based on Kmeans through FBcubed Metric.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Are Reducts and Typical Testors the Same?
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Graph Clustering via Inexact Patterns.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Advances in pattern recognition methodology and applications.
Pattern Recognit. Lett., 2013

An algorithm based on density and compactness for dynamic overlapping clustering.
Pattern Recognit., 2013

InstanceRank based on borders for instance selection.
Pattern Recognit., 2013

OClustR: A new graph-based algorithm for overlapping clustering.
Neurocomputing, 2013

Mining frequent patterns and association rules using similarities.
Expert Syst. Appl., 2013

Clasificadores basados en arboles de decisión para grandes conjuntos de datos.
Computación y Sistemas, 2013

Information Retrieval Based on a Query Document Using Maximal Frequent Sequences.
Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013

Combining Techniques to Find the Number of Bins for Discretization.
Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013

An Empirical Study of Oversampling and Undersampling Methods for LCMine an Emerging Pattern Based Classifier.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

New Penalty Scheme for Optimal Subsequence Bijection.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Comparing Quality Measures for Contrast Pattern Classifiers.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Feature Space Reduction for Graph-Based Image Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
A dynamic clustering algorithm for building overlapping clusters.
Intell. Data Anal., 2012

CAR-NF: A classifier based on specific rules with high netconf.
Intell. Data Anal., 2012

Building fast decision trees from large training sets.
Intell. Data Anal., 2012

Hardware-software platform for computing irreducible testors.
Expert Syst. Appl., 2012

Immediate water quality assessment in shrimp culture using fuzzy inference systems.
Expert Syst. Appl., 2012

Classification based on specific rules and inexact coverage.
Expert Syst. Appl., 2012

A New Overlapping Clustering Algorithm Based on Graph Theory.
Proceedings of the Advances in Artificial Intelligence, 2012

Genetic Algorithm for Multidimensional Scaling over Mixed and Incomplete Data.
Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

A New Document Author Representation for Authorship Attribution.
Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

Hybrid feature selection method for biomedical datasets.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

A Modification of the Lernmatrix for Real Valued Data Processing.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

CAR-NF + : An Improved Version of CAR-NF Classifier.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Nested Dichotomies Based on Clustering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
RP-Miner: a relaxed prune algorithm for frequent similar pattern mining.
Knowl. Inf. Syst., 2011

Fuzzy emerging patterns for classifying hard domains.
Knowl. Inf. Syst., 2011

General framework for class-specific feature selection.
Expert Syst. Appl., 2011

Decision tree induction using a fast splitting attribute selection for large datasets.
Expert Syst. Appl., 2011

Editorial.
Computación y Sistemas, 2011

Reducing the Number of Canonical Form Tests for Frequent Subgraph Mining.
Computación y Sistemas, 2011

2010
Fast k most similar neighbor classifier for mixed data (tree k-MSN).
Pattern Recognit., 2010

LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification.
Pattern Recognit., 2010

A new fast prototype selection method based on clustering.
Pattern Anal. Appl., 2010

Finding Maximal Sequential Patterns in Text Document Collections and Single Documents.
Informatica (Slovenia), 2010

Algorithms for mining frequent itemsets in static and dynamic datasets.
Intell. Data Anal., 2010

A new algorithm for mining frequent connected subgraphs based on adjacency matrices.
Intell. Data Anal., 2010

Full duplicate candidate pruning for frequent connected subgraph mining.
Integr. Comput. Aided Eng., 2010

A review of instance selection methods.
Artif. Intell. Rev., 2010

A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Classifying Using Specific Rules with High Confidence.
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010

Designing RBFNNs Using Prototype Selection.
Proceedings of the Advances in Pattern Recognition, 2010

Hybrid Feature Selection Method for Supervised Classification Based on Laplacian Score Ranking.
Proceedings of the Advances in Pattern Recognition, 2010

New Dissimilarity Measures for Ultraviolet Spectra Identification.
Proceedings of the Advances in Pattern Recognition, 2010

Cascading an Emerging Pattern Based Classifier.
Proceedings of the Advances in Pattern Recognition, 2010

Using Non Boolean Similarity Functions for Frequent Similar Pattern Mining.
Proceedings of the Advances in Artificial Intelligence, 2010

Multivariate Decision Trees Using Different Splitting Attribute Subsets for Large Datasets.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Prototype selection based on sequential search.
Intell. Data Anal., 2009

Taking Advantage of Class-Specific Feature Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Duplicate Candidate Elimination and Fast Support Calculation for Frequent Subgraph Mining.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

A New Incremental Algorithm for Overlapped Clustering.
Proceedings of the Progress in Pattern Recognition, 2009

Finding Small Consistent Subset for the Nearest Neighbor Classifier Based on Support Graphs.
Proceedings of the Progress in Pattern Recognition, 2009

Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Object Selection Based on Clustering and Border Objects.
Proceedings of the Computer Recognition Systems 2, 2008

Mining Frequent Connected Subgraphs Reducing the Number of Candidates.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Fast k Most Similar Neighbor Classifier for Mixed Data Based on Approximating and Eliminating.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

On the selection of base prototypes for LAESA and TLAESA classifiers.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A New Graph-Based Algorithm for Clustering Documents.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Gait Recognition Based on Silhouette, Contour and Classifier Ensembles.
Proceedings of the Progress in Pattern Recognition, 2008

Prototype Selection Via Prototype Relevance.
Proceedings of the Progress in Pattern Recognition, 2008

Fast kMost Similar Neighbor Classifier for Mixed Data Based on a Tree Structure and Approximating-Eliminating.
Proceedings of the Progress in Pattern Recognition, 2008

A Novel Incremental Algorithm for Frequent Itemsets Mining in Dynamic Datasets.
Proceedings of the Progress in Pattern Recognition, 2008

Mining Frequent Similar Patterns on Mixed Data.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Restricted Sequential Floating Search Applied to Object Selection.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

FPGA-Based Architecture for Computing Testors.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Mixed Data Object Selection Based on Clustering and Border Objects.
Proceedings of the Progress in Pattern Recognition, 2007

Fast <i>k </i> Most Similar Neighbor Classifier for Mixed Data Based on a Tree Structure.
Proceedings of the Progress in Pattern Recognition, 2007

Fast Most Similar Neighbor Classifier for Mixed Data.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
Fast Global <i>k</i>-Means with Similarity Functions Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Document Clustering Based on Maximal Frequent Sequences.
Proceedings of the Advances in Natural Language Processing, 2006

A New Algorithm for Fast Discovery of Maximal Sequential Patterns in a Document Collection.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2006

Document Representation Based on Maximal Frequent Sequence Sets.
Proceedings of the Progress in Pattern Recognition, 2006

On the Design and Implementation of a High Performance Configurable Architecture for Testor Identification.
Proceedings of the Progress in Pattern Recognition, 2006

Conceptual K-Means Algorithm Based on Complex Features.
Proceedings of the Progress in Pattern Recognition, 2006

2005
Sequential Search for Decremental Edition.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Data Preprocessing by Sequential Pattern Mining for LZW.
Proceedings of the Sixth Mexican International Conference on Computer Science (ENC 2005), 2005

Reward-Punishment Editing for Mixed Data.
Proceedings of the Progress in Pattern Recognition, 2005

Edition Schemes Based on BSE.
Proceedings of the Progress in Pattern Recognition, 2005

Global k-Means with Similarity Functions.
Proceedings of the Progress in Pattern Recognition, 2005

Classifier Selection Based on Data Complexity Measures.
Proceedings of the Progress in Pattern Recognition, 2005

Conceptual K-Means Algorithm with Similarity Functions.
Proceedings of the Progress in Pattern Recognition, 2005

2004
Sensitivity analysis of fuzzy Goldman typical testors.
Fuzzy Sets Syst., 2004

Feature Selection for Natural Disaster Texts Classification Using Testors.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Two Floating Search Strategies to Compute the Support Sets System for ALVOT.
Proceedings of the Progress in Pattern Recognition, 2004

A Fast Algorithm to Find All the Maximal Frequent Sequences in a Text.
Proceedings of the Progress in Pattern Recognition, 2004

Feature Selection Using Typical e: Testors, Working on Dynamical Data.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Editing and Training for ALVOT, an Evolutionary Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

2002
Sensitivity Analisys in Logical-Combinatorial Pattern Recognition.
Computación y Sistemas, 2002


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