Ángel Fernando Kuri Morales

According to our database1, Ángel Fernando Kuri Morales authored at least 53 papers between 2000 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data.
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024

2023
Removing the Black-Box from Machine Learning.
Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023

2022
CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling.
Proceedings of the Advances in Computational Intelligence, 2022

Mining Mixed Data Bases Using Machine Learning Algorithms.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

2021
Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data.
Proceedings of the Advances in Computational Intelligence, 2021

2020
Statistically Based Authorship Identification.
Res. Comput. Sci., 2020

Playing Carcassonne with Monte Carlo Tree Search.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
An unsupervised learning approach for multilayer perceptron networks - Learning driven by validity indices.
Soft Comput., 2019

A Comprehensive Methodology to Find Closed Mathematical Models from Experimental Data.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018
Transforming Mixed Data Bases for Machine Learning: A Case Study.
Proceedings of the Advances in Soft Computing, 2018

Pattern Discovery in Mixed Data Bases.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

2017
Closed determination of the number of neurons in the hidden layer of a multi-layered perceptron network.
Soft Comput., 2017

Automatic Closed Modeling of Multiple Variable Systems Using Soft Computation.
Proceedings of the Advances in Soft Computing, 2017

A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases.
Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

2016
Minimum Data Base Determination using Machine Learning.
Int. J. Web Serv. Res., 2016

Normality from Monte Carlo Simulation for Statistical Validation of Computer Intensive Algorithms.
Proceedings of the Advances in Soft Computing, 2016

2015
A Clustering Method Based on the Maximum Entropy Principle.
Entropy, 2015

Multivariate Approximation Methods Using Polynomial Models: A Comparative Study.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015

Mining Unstructured Data via Computational Intelligence.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

2014
Complex componential approach for redundancy allocation problem solved by simulation-optimization framework.
J. Intell. Manuf., 2014

The Best Neural Network Architecture.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Improved Performance of Computer Networks by Embedded Pattern Detection.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Data Base Analysis Using a Compact Data Set.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Polynomial Multivariate Approximation with Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2014

2013
The Best Genetic Algorithm II - A Comparative Study of Structurally Different Genetic Algorithms.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

The Best Genetic Algorithm I - A Comparative Study of Structurally Different Genetic Algorithms.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

An Automated Search Space Reduction Methodology for Large Databases.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013

2012
Odometry-Based Viterbi Localization with Artificial Neural Networks and Laser Range Finders for Mobile Robots.
J. Intell. Robotic Syst., 2012

Application of a Method Based on Computational Intelligence for the Optimization of Resources Determined from Multivariate Phenomena.
Proceedings of the Advances in Computational Intelligence, 2012

Experimental Validation of an Evolutionary Method to Identify a Mobile Robot's Position.
Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

Adaptive FPGA-based robotics state machine architecture derived with genetic algorithms (abstract only).
Proceedings of the ACM/SIGDA 20th International Symposium on Field Programmable Gate Arrays, 2012

2011
Clustering of Heterogeneously Typed Data with Soft Computing - A Case Study.
Proceedings of the Advances in Soft Computing, 2011

Clustering of Heterogeneously Typed Data with Soft Computing.
Proceedings of the KDIR 2011, 2011

2010
Finding Irregularly Shaped Clusters Based on Entropy.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Sampling for Information and Structure Preservation When Mining Large Data Bases.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
A search space reduction methodology for data mining in large databases.
Eng. Appl. Artif. Intell., 2009

2007
Evolutionary Feature and Parameter Selection in Support Vector Regression.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

A Search Space Reduction Methodology for Large Databases: A Case Study.
Proceedings of the Advances in Data Mining. Theoretical Aspects and Applications, 2007

MP-Polynomial Kernel for Training Support Vector Machines.
Proceedings of the Progress in Pattern Recognition, 2007

Agrupamiento en Grandes Bases de Datos vía la Reducción Estadística del Espacio de Búsqueda.
Proceedings of the Reaching New Heights. 13th Americas Conference on Information Systems, 2007

2006
Evolutionary Training of SVM for Multiple Category Classification Problems with Self-adaptive Parameters.
Proceedings of the Advances in Artificial Intelligence, 2006

Analysis of Algebraic Expressions Derived from Genetic Multivariate Polynomials and Support Vector Machines: A Case Study.
Proceedings of the Progress in Pattern Recognition, 2006

An Application of Neural Networks for Image Reconstruction in Electrical Capacitance Tomography Applied to Oil Industry.
Proceedings of the Progress in Pattern Recognition, 2006

2005
A New Approach to Sequence Representation of Proteins in Bioinformatics.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Genetic Multivariate Polynomials: An Alternative Tool to Neural Networks.
Proceedings of the Progress in Pattern Recognition, 2005

2004
Pattern-Based Data Compression.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Pattern Recognition via Vasconcelos' Genetic Algorithm.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Classification Methods Using Neural Networks and Partial Precedence Algorithms for Differential Medical Diagnosis: A Case Study.
Proceedings of the Computational Science and Its Applications, 2003

Metrics for Symbol Clustering from a Pseudoergodic Information Source.
Proceedings of the 4th Mexican International Conference on Computer Science (ENC 2003), 2003

Efficient Compression from Non-ergodic Sources with Genetic Algorithms.
Proceedings of the 4th Mexican International Conference on Computer Science (ENC 2003), 2003

2002
Penalty Function Methods for Constrained Optimization with Genetic Algorithms: A Statistical Analysis.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

A Methodology for the Statistical Characterization of Genetic Algorithms.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

2000
Training Neural Networks Using Non-standard Norms - Preliminary Results.
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000


  Loading...