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- Ángel Fernando Kuri Morales
aka: Angel Fernando Kuri Morales, Angel Kuri-Morales
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Publication search results
found 57 matches
- 2024
- Eric Valdez-Valenzuela, Angel Kuri-Morales, Helena Gómez-Adorno:
Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data. MCPR 2024: 44-52 - 2023
- Angel Fernando Kuri Morales:
Removing the Black-Box from Machine Learning. MCPR 2023: 36-46 - 2022
- Angel Kuri-Morales:
Mining Mixed Data Bases Using Machine Learning Algorithms. MCPR 2022: 70-80 - Eric Valdez-Valenzuela, Angel Kuri-Morales, Helena Gómez-Adorno:
CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling. MICAI (1) 2022: 173-182 - 2021
- Eric Valdez-Valenzuela, Angel Kuri-Morales, Helena Gómez-Adorno:
Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data. MICAI (1) 2021: 92-107 - Edgar Roman-Rangel, Ángel Fernando Kuri Morales, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López:
Pattern Recognition - 13th Mexican Conference, MCPR 2021, Mexico City, Mexico, June 23-26, 2021, Proceedings. Lecture Notes in Computer Science 12725, Springer 2021, ISBN 978-3-030-77003-7 [contents] - 2020
- Angel Kuri-Morales:
Statistically Based Authorship Identification. Res. Comput. Sci. 149(4): 9-21 (2020) - Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. SSCI 2020: 2343-2350 - Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. CoRR abs/2009.12974 (2020) - 2019
- Edwin Aldana-Bobadilla, Angel Kuri-Morales, Ivan López-Arévalo, Ana B. Ríos-Alvarado:
An unsupervised learning approach for multilayer perceptron networks - Learning driven by validity indices. Soft Comput. 23(21): 11001-11013 (2019) - Angel Kuri-Morales:
A Comprehensive Methodology to Find Closed Mathematical Models from Experimental Data. MCPR 2019: 25-36 - 2018
- Angel Kuri-Morales:
Pattern Discovery in Mixed Data Bases. MCPR 2018: 178-188 - Angel Kuri-Morales:
Transforming Mixed Data Bases for Machine Learning: A Case Study. MICAI (1) 2018: 157-170 - 2017
- Angel Kuri-Morales:
Closed determination of the number of neurons in the hidden layer of a multi-layered perceptron network. Soft Comput. 21(3): 597-609 (2017) - Angel Kuri-Morales, Javier Sagastuy-Breña:
A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases. MCPR 2017: 13-21 - Angel Kuri-Morales, Alejandro Cartas Ayala:
Automatic Closed Modeling of Multiple Variable Systems Using Soft Computation. MICAI (1) 2017: 185-196 - 2016
- Ángel Fernando Kuri Morales:
Minimum Data Base Determination using Machine Learning. Int. J. Web Serv. Res. 13(4): 1-18 (2016) - Ángel Fernando Kuri Morales, Ignacio Lopez-Peña:
Normality from Monte Carlo Simulation for Statistical Validation of Computer Intensive Algorithms. MICAI (2) 2016: 3-14 - 2015
- Edwin Aldana-Bobadilla, Ángel Fernando Kuri Morales:
A Clustering Method Based on the Maximum Entropy Principle. Entropy 17(1): 151-180 (2015) - Angel Kuri-Morales:
Mining Unstructured Data via Computational Intelligence. MICAI (1) 2015: 518-529 - Ignacio Lopez-Peña, Angel Kuri-Morales:
Multivariate Approximation Methods Using Polynomial Models: A Comparative Study. MICAI (Special Sessions) 2015: 131-138 - 2014
- Carlos Henrique Mariano, Angel Fernando Kuri Morales:
Complex componential approach for redundancy allocation problem solved by simulation-optimization framework. J. Intell. Manuf. 25(4): 661-680 (2014) - Angel Fernando Kuri Morales, Alejandro Cartas Ayala:
Polynomial Multivariate Approximation with Genetic Algorithms. Canadian AI 2014: 307-312 - Ángel Fernando Kuri Morales:
Data Base Analysis Using a Compact Data Set. BigData Congress 2014: 227-233 - Ángel Fernando Kuri Morales, Iván Cortés-Arce:
Improved Performance of Computer Networks by Embedded Pattern Detection. MCPR 2014: 21-30 - Angel Fernando Kuri Morales:
The Best Neural Network Architecture. MICAI (2) 2014: 72-84 - 2013
- Angel Fernando Kuri Morales:
An Automated Search Space Reduction Methodology for Large Databases. ICDM 2013: 11-24 - Ángel Fernando Kuri Morales, Edwin Aldana-Bobadilla:
The Best Genetic Algorithm I - A Comparative Study of Structurally Different Genetic Algorithms. MICAI (2) 2013: 1-15 - Ángel Fernando Kuri Morales, Edwin Aldana-Bobadilla, Ignacio Lopez-Peña:
The Best Genetic Algorithm II - A Comparative Study of Structurally Different Genetic Algorithms. MICAI (2) 2013: 16-29 - 2012
- Adalberto Llarena, Jesus Savage, Ángel Fernando Kuri Morales, Boris Escalante-Ramírez:
Odometry-Based Viterbi Localization with Artificial Neural Networks and Laser Range Finders for Mobile Robots. J. Intell. Robotic Syst. 66(1-2): 75-109 (2012)
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