Training Neural Networks Using Non-standard Norms - Preliminary Results. - Angel Fernando Kuri Morales (MICAI, 2000)

A Methodology for the Statistical Characterization of Genetic Algorithms. - Angel Fernando Kuri Morales (MICAI, 2002)

Penalty Function Methods for Constrained Optimization with Genetic Algorithms: A Statistical Analysis. - Angel Fernando Kuri Morales; Jesús Gutiérrez-García (MICAI, 2002)

Efficient Compression from Non-ergodic Sources with Genetic Algorithms. - Angel Fernando Kuri Morales (ENC, 2003)

Metrics for Symbol Clustering from a Pseudoergodic Information Source. - Angel Fernando Kuri Morales; Oscar Herrera-Alcántara (ENC, 2003)

Classification Methods Using Neural Networks and Partial Precedence Algorithms for Differential Medical Diagnosis: A Case Study. - Angel Fernando Kuri Morales; Martha R. Ortiz-Posadas (ICCSA (1), 2003)

Pattern Recognition via Vasconcelos' Genetic Algorithm. - Angel Fernando Kuri Morales (CIARP, 2004)

Pattern-Based Data Compression. - Angel Fernando Kuri Morales; José Galaviz (MICAI, 2004)

Genetic Multivariate Polynomials: An Alternative Tool to Neural Networks. - Angel Fernando Kuri Morales; Federico Juárez-Almaraz (CIARP, 2005)

A New Approach to Sequence Representation of Proteins in Bioinformatics. - Angel Fernando Kuri Morales; Martha R. Ortiz-Posadas (MICAI, 2005)

An Application of Neural Networks for Image Reconstruction in Electrical Capacitance Tomography Applied to Oil Industry. - Norberto Flores; Angel Fernando Kuri Morales; Carlos Gamio (CIARP, 2006)

Analysis of Algebraic Expressions Derived from Genetic Multivariate Polynomials and Support Vector Machines: A Case Study. - Angel Fernando Kuri Morales; Iván Mejía-Guevara (CIARP, 2006)

Evolutionary Training of SVM for Multiple Category Classification Problems with Self-adaptive Parameters. - Angel Fernando Kuri Morales; Iván Mejía-Guevara (IBERAMIA-SBIA, 2006)

Agrupamiento en Grandes Bases de Datos vía la Reducción Estadística del Espacio de Búsqueda. - Ignacio Ania; Angel Fernando Kuri Morales (AMCIS, 2007)

MP-Polynomial Kernel for Training Support Vector Machines. - Iván Mejía-Guevara; Ángel Fernando Kuri Morales (CIARP, 2007)

A Search Space Reduction Methodology for Large Databases: A Case Study. - Angel Fernando Kuri Morales; Fátima Rodríguez (ICDM, 2007)

Evolutionary Feature and Parameter Selection in Support Vector Regression. - Iván Mejía-Guevara; Ángel Fernando Kuri Morales (MICAI, 2007)

A search space reduction methodology for data mining in large databases. - Ángel Fernando Kuri Morales; Fátima Rodríguez-Erazo (Eng. Appl. Artif. Intell., 2009)

Sampling for Information and Structure Preservation When Mining Large Data Bases. - Ángel Fernando Kuri Morales; Alexis Lozano (IBERAMIA, 2010)

Finding Irregularly Shaped Clusters Based on Entropy. - Ángel Fernando Kuri Morales; Edwin Aldana-Bobadilla (ICDM, 2010)

Clustering of Heterogeneously Typed Data with Soft Computing. - Angel Fernando Kuri Morales; Luis Enrique Cortes-Berrueco; Daniel Trejo-Baños (KDIR, 2011)

Clustering of Heterogeneously Typed Data with Soft Computing - A Case Study. - Angel Fernando Kuri Morales; Daniel Trejo-Baños; Luis Enrique Cortes-Berrueco (MICAI (2), 2011)

Adaptive FPGA-based robotics state machine architecture derived with genetic algorithms (abstract only). - Jesus Savage; Rodrigo Savage; Marco Morales-Aguirre; Ángel Fernando Kuri Morales (FPGA, 2012)

Experimental Validation of an Evolutionary Method to Identify a Mobile Robot's Position. - Ángel Fernando Kuri Morales; Ignacio Lopez-Peña (MCPR, 2012)

Application of a Method Based on Computational Intelligence for the Optimization of Resources Determined from Multivariate Phenomena. - Angel Fernando Kuri Morales (MICAI (2), 2012)

Odometry-Based Viterbi Localization with Artificial Neural Networks and Laser Range Finders for Mobile Robots. - Adalberto Llarena; Jesus Savage; Ángel Fernando Kuri Morales; Boris Escalante-Ramírez (J. Intell. Robotic Syst., 2012)

An Automated Search Space Reduction Methodology for Large Databases. - Angel Fernando Kuri Morales (ICDM, 2013)

The Best Genetic Algorithm I - A Comparative Study of Structurally Different Genetic Algorithms. - Ángel Fernando Kuri Morales; Edwin Aldana-Bobadilla (MICAI (2), 2013)

The Best Genetic Algorithm II - A Comparative Study of Structurally Different Genetic Algorithms. - Ángel Fernando Kuri Morales; Edwin Aldana-Bobadilla; Ignacio Lopez-Peña (MICAI (2), 2013)

Polynomial Multivariate Approximation with Genetic Algorithms. - Angel Fernando Kuri Morales; Alejandro Cartas Ayala (Canadian AI, 2014)

Data Base Analysis Using a Compact Data Set. - Ángel Fernando Kuri Morales (BigData Congress, 2014)

Improved Performance of Computer Networks by Embedded Pattern Detection. - Ángel Fernando Kuri Morales; Iván Cortés-Arce (MCPR, 2014)

The Best Neural Network Architecture. - Angel Fernando Kuri Morales (MICAI (2), 2014)

Complex componential approach for redundancy allocation problem solved by simulation-optimization framework. - Carlos Henrique Mariano; Angel Fernando Kuri Morales (J. Intell. Manuf., 2014)

Mining Unstructured Data via Computational Intelligence. - Angel Kuri-Morales (MICAI (1), 2015)

Multivariate Approximation Methods Using Polynomial Models: A Comparative Study. - Ignacio Lopez-Peña; Angel Kuri-Morales (MICAI (Special Sessions), 2015)

A Clustering Method Based on the Maximum Entropy Principle. - Edwin Aldana-Bobadilla; Ángel Fernando Kuri Morales (Entropy, 2015)

Normality from Monte Carlo Simulation for Statistical Validation of Computer Intensive Algorithms. - Ángel Fernando Kuri Morales; Ignacio Lopez-Peña (MICAI (2), 2016)

Minimum Data Base Determination using Machine Learning. - Ángel Fernando Kuri Morales (Int. J. Web Serv. Res., 2016)

A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases. - Angel Kuri-Morales; Javier Sagastuy-Breña (MCPR, 2017)

Automatic Closed Modeling of Multiple Variable Systems Using Soft Computation. - Angel Kuri-Morales; Alejandro Cartas Ayala (MICAI (1), 2017)

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

Pattern Discovery in Mixed Data Bases. - Angel Kuri-Morales (MCPR, 2018)

Transforming Mixed Data Bases for Machine Learning: A Case Study. - Angel Kuri-Morales (MICAI (1), 2018)

A Comprehensive Methodology to Find Closed Mathematical Models from Experimental Data. - Angel Kuri-Morales (MCPR, 2019)

An unsupervised learning approach for multilayer perceptron networks - Learning driven by validity indices. - Edwin Aldana-Bobadilla; Angel Kuri-Morales; Ivan López-Arévalo; Ana B. Ríos-Alvarado (Soft Comput., 2019)

Playing Carcassonne with Monte Carlo Tree Search. - Fred Valdez Ameneyro; Edgar Galván; Ángel Fernando Kuri Morales (SSCI, 2020)

Statistically Based Authorship Identification. - Angel Kuri-Morales (Res. Comput. Sci., 2020)

Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data. - Eric Valdez-Valenzuela; Angel Kuri-Morales; Helena Gómez-Adorno (MICAI (1), 2021)

Mining Mixed Data Bases Using Machine Learning Algorithms. - Angel Kuri-Morales (MCPR, 2022)

CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling. - Eric Valdez-Valenzuela; Angel Kuri-Morales; Helena Gómez-Adorno (MICAI (1), 2022)

Removing the Black-Box from Machine Learning. - Angel Fernando Kuri Morales (MCPR, 2023)

Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data. - Eric Valdez-Valenzuela; Angel Kuri-Morales; Helena Gómez-Adorno (MCPR, 2024)

Statistical Evaluation of Categorical Encoders for Pattern Preservation in Machine Learning Tasks. - Eric Valdez-Valenzuela; Angel Kuri-Morales; Helena Gómez-Adorno (Int. J. Comb. Optim. Probl. Informatics, 2024)