Manuel Lazo-Cortés

Orcid: 0000-0001-6244-2005

According to our database1, Manuel Lazo-Cortés authored at least 38 papers between 1995 and 2022.

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

Timeline

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Bibliography

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

A review of algorithms to computing irreducible testors applied to feature selection.
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
A Comparative Study of Two Algorithms for Computing the Shortest Reducts: MiLIT and MinReduct.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

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

An Algorithm for Computing Minimum-Length Irreducible Testors.
IEEE Access, 2020

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

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

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

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

Enhancing the Performance of YYC Algorithm Useful to Generate Irreducible Testors.
Int. J. Pattern Recognit. Artif. Intell., 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

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

2017
A CUDA-based hill-climbing algorithm to find irreducible testors from a training matrix.
Pattern Recognit. Lett., 2017

Fast-BR vs. Fast-CT_EXT: An Empirical Performance Study.
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

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

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

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

A parallel hill-climbing algorithm to generate a subset of irreducible testors.
Appl. Intell., 2015

Recommendation of Process Discovery Algorithms Through Event Log Classification.
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

2014
Algoritmo de reducción de grafos sin pérdida de información.
Computación y Sistemas, 2014

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

Voting Algorithms Model with a Support Sets System by Class.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

On Two Definitions of Reduct.
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

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

2012
A Fast Implementation for the Typical Testor Property Identification Based on an Accumulative Binary Tuple.
Int. J. Comput. Intell. Syst., 2012

Sub-process Discovery: Opportunities for Process Diagnostics.
Proceedings of the Enterprise Information Systems of the Future, 2012

2010
A Fast Implementation of the CT_EXT Algorithm for the Testor Property Identification.
Proceedings of the Advances in Soft Computing, 2010

2007
CT-EXT: An Algorithm for Computing Typical Testor Set.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Proposal for a Unified Methodology for Evaluating Supervised and Non-supervised Classification Algorithms.
Proceedings of the Progress in Pattern Recognition, 2006

2001
An overview of the evolution of the concept of testor.
Pattern Recognit., 2001

2000
Structuralization of universes.
Fuzzy Sets Syst., 2000

1995
Determining the feature relevance for non-classically described objects and a new algorithm to compute typical fuzzy testors.
Pattern Recognit. Lett., 1995


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