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Ángel Fernando Kuri Morales
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2020 – today
- 2024
- [c45]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
- [c44]Angel Fernando Kuri Morales:
Removing the Black-Box from Machine Learning. MCPR 2023: 36-46 - 2022
- [c43]Angel Kuri-Morales:
Mining Mixed Data Bases Using Machine Learning Algorithms. MCPR 2022: 70-80 - [c42]Eric Valdez-Valenzuela, Angel Kuri-Morales, Helena Gómez-Adorno:
CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling. MICAI (1) 2022: 173-182 - 2021
- [c41]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 - [e3]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
- [j8]Angel Kuri-Morales:
Statistically Based Authorship Identification. Res. Comput. Sci. 149(4): 9-21 (2020) - [c40]Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. SSCI 2020: 2343-2350 - [i1]Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. CoRR abs/2009.12974 (2020)
2010 – 2019
- 2019
- [j7]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) - [c39]Angel Kuri-Morales:
A Comprehensive Methodology to Find Closed Mathematical Models from Experimental Data. MCPR 2019: 25-36 - 2018
- [c38]Angel Kuri-Morales:
Pattern Discovery in Mixed Data Bases. MCPR 2018: 178-188 - [c37]Angel Kuri-Morales:
Transforming Mixed Data Bases for Machine Learning: A Case Study. MICAI (1) 2018: 157-170 - 2017
- [j6]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) - [c36]Angel Kuri-Morales, Javier Sagastuy-Breña:
A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases. MCPR 2017: 13-21 - [c35]Angel Kuri-Morales, Alejandro Cartas Ayala
:
Automatic Closed Modeling of Multiple Variable Systems Using Soft Computation. MICAI (1) 2017: 185-196 - 2016
- [j5]Ángel Fernando Kuri Morales:
Minimum Data Base Determination using Machine Learning. Int. J. Web Serv. Res. 13(4): 1-18 (2016) - [c34]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
- [j4]Edwin Aldana-Bobadilla, Ángel Fernando Kuri Morales:
A Clustering Method Based on the Maximum Entropy Principle. Entropy 17(1): 151-180 (2015) - [c33]Ignacio Lopez-Peña, Angel Kuri-Morales:
Multivariate Approximation Methods Using Polynomial Models: A Comparative Study. MICAI (Special Sessions) 2015: 131-138 - [c32]Angel Kuri-Morales:
Mining Unstructured Data via Computational Intelligence. MICAI (1) 2015: 518-529 - 2014
- [j3]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) - [c31]Angel Fernando Kuri Morales, Alejandro Cartas Ayala
:
Polynomial Multivariate Approximation with Genetic Algorithms. Canadian AI 2014: 307-312 - [c30]Ángel Fernando Kuri Morales:
Data Base Analysis Using a Compact Data Set. BigData Congress 2014: 227-233 - [c29]Ángel Fernando Kuri Morales, Iván Cortés-Arce:
Improved Performance of Computer Networks by Embedded Pattern Detection. MCPR 2014: 21-30 - [c28]Angel Fernando Kuri Morales:
The Best Neural Network Architecture. MICAI (2) 2014: 72-84 - 2013
- [c27]Angel Fernando Kuri Morales:
An Automated Search Space Reduction Methodology for Large Databases. ICDM 2013: 11-24 - [c26]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 - [c25]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
- [j2]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) - [c24]Jesus Savage, Rodrigo Savage, Marco Morales-Aguirre, Ángel Fernando Kuri Morales:
Adaptive FPGA-based robotics state machine architecture derived with genetic algorithms (abstract only). FPGA 2012: 267 - [c23]Ángel Fernando Kuri Morales, Ignacio Lopez-Peña:
Experimental Validation of an Evolutionary Method to Identify a Mobile Robot's Position. MCPR 2012: 236-245 - [c22]Angel Fernando Kuri Morales:
Application of a Method Based on Computational Intelligence for the Optimization of Resources Determined from Multivariate Phenomena. MICAI (2) 2012: 292-303 - 2011
- [c21]Angel Fernando Kuri Morales, Luis Enrique Cortes-Berrueco, Daniel Trejo-Baños:
Clustering of Heterogeneously Typed Data with Soft Computing. KDIR 2011: 499-502 - [c20]Angel Fernando Kuri Morales, Daniel Trejo-Baños
, Luis Enrique Cortes-Berrueco:
Clustering of Heterogeneously Typed Data with Soft Computing - A Case Study. MICAI (2) 2011: 235-248 - 2010
- [c19]Ángel Fernando Kuri Morales, Alexis Lozano:
Sampling for Information and Structure Preservation When Mining Large Data Bases. IBERAMIA 2010: 174-183 - [c18]Ángel Fernando Kuri Morales, Edwin Aldana-Bobadilla:
Finding Irregularly Shaped Clusters Based on Entropy. ICDM 2010: 57-70 - [e2]Ángel Fernando Kuri Morales, Guillermo Ricardo Simari:
Advances in Artificial Intelligence - IBERAMIA 2010, 12th Ibero-American Conference on AI, Bahía Blanca, Argentina, November 1-5, 2010. Proceedings. Lecture Notes in Computer Science 6433, Springer 2010, ISBN 978-3-642-16951-9 [contents]
2000 – 2009
- 2009
- [j1]Ángel Fernando Kuri Morales, Fátima Rodríguez-Erazo:
A search space reduction methodology for data mining in large databases. Eng. Appl. Artif. Intell. 22(1): 57-65 (2009) - 2007
- [c17]Ignacio Ania, Angel Fernando Kuri Morales:
Agrupamiento en Grandes Bases de Datos vía la Reducción Estadística del Espacio de Búsqueda. AMCIS 2007: 266 - [c16]Iván Mejía-Guevara, Ángel Fernando Kuri Morales:
MP-Polynomial Kernel for Training Support Vector Machines. CIARP 2007: 584-593 - [c15]Angel Fernando Kuri Morales, Fátima Rodríguez:
A Search Space Reduction Methodology for Large Databases: A Case Study. ICDM 2007: 199-213 - [c14]Iván Mejía-Guevara, Ángel Fernando Kuri Morales:
Evolutionary Feature and Parameter Selection in Support Vector Regression. MICAI 2007: 399-408 - [e1]Alexander F. Gelbukh
, Angel Fernando Kuri Morales:
MICAI 2007: Advances in Artificial Intelligence, 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings. Lecture Notes in Computer Science 4827, Springer 2007, ISBN 978-3-540-76630-8 [contents] - 2006
- [c13]Norberto Flores, Angel Fernando Kuri Morales, Carlos Gamio:
An Application of Neural Networks for Image Reconstruction in Electrical Capacitance Tomography Applied to Oil Industry. CIARP 2006: 371-380 - [c12]Angel Fernando Kuri Morales, Iván Mejía-Guevara:
Analysis of Algebraic Expressions Derived from Genetic Multivariate Polynomials and Support Vector Machines: A Case Study. CIARP 2006: 974-984 - [c11]Angel Fernando Kuri Morales, Iván Mejía-Guevara:
Evolutionary Training of SVM for Multiple Category Classification Problems with Self-adaptive Parameters. IBERAMIA-SBIA 2006: 329-338 - 2005
- [c10]Angel Fernando Kuri Morales, Federico Juárez-Almaraz:
Genetic Multivariate Polynomials: An Alternative Tool to Neural Networks. CIARP 2005: 262-270 - [c9]Angel Fernando Kuri Morales, Martha R. Ortiz-Posadas:
A New Approach to Sequence Representation of Proteins in Bioinformatics. MICAI 2005: 880-889 - 2004
- [c8]Angel Fernando Kuri Morales:
Pattern Recognition via Vasconcelos' Genetic Algorithm. CIARP 2004: 328-335 - [c7]Angel Fernando Kuri Morales, José Galaviz:
Pattern-Based Data Compression. MICAI 2004: 1-10 - 2003
- [c6]Angel Fernando Kuri Morales:
Efficient Compression from Non-ergodic Sources with Genetic Algorithms. ENC 2003: 324-329 - [c5]Angel Fernando Kuri Morales, Oscar Herrera-Alcántara
:
Metrics for Symbol Clustering from a Pseudoergodic Information Source. ENC 2003: 330-337 - [c4]Angel Fernando Kuri Morales, Martha R. Ortiz-Posadas:
Classification Methods Using Neural Networks and Partial Precedence Algorithms for Differential Medical Diagnosis: A Case Study. ICCSA (1) 2003: 378-387 - 2002
- [c3]Angel Fernando Kuri Morales:
A Methodology for the Statistical Characterization of Genetic Algorithms. MICAI 2002: 79-88 - [c2]Angel Fernando Kuri Morales, Jesús Gutiérrez-García:
Penalty Function Methods for Constrained Optimization with Genetic Algorithms: A Statistical Analysis. MICAI 2002: 108-117 - 2000
- [c1]Angel Fernando Kuri Morales:
Training Neural Networks Using Non-standard Norms - Preliminary Results. MICAI 2000: 350-364
Coauthor Index
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last updated on 2024-06-29 00:48 CEST by the dblp team
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