Angel Fernando Kuri Morales - researchr alias

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2007

MICAI 2007: Advances in Artificial Intelligence, 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, ProceedingsAlexander F. Gelbukh, Angel Fernando Kuri Morales, editors, Volume 4827 of Lecture Notes in Computer Science, Springer, 2007.

A Search Space Reduction Methodology for Large Databases: A Case StudyAngel Fernando Kuri Morales, Fátima Rodriguez. incdm 2007: 199-213 [doi]

2006

An Application of Neural Networks for Image Reconstruction in Electrical Capacitance Tomography Applied to Oil IndustryNorberto Flores, Angel Fernando Kuri Morales, Carlos Gamio. ciarp 2006: 371-380 [doi]

Evolutionary Training of SVM for Multiple Category Classification Problems with Self-adaptive ParametersAngel Fernando Kuri Morales, Iván Mejía-Guevara. sbia 2006: 329-338 [doi]

Analysis of Algebraic Expressions Derived from Genetic Multivariate Polynomials and Support Vector Machines: A Case StudyAngel Fernando Kuri Morales, Iván Mejía-Guevara. ciarp 2006: 974-984 [doi]

2005

Genetic Multivariate Polynomials: An Alternative Tool to Neural NetworksAngel Fernando Kuri Morales, Federico Juárez-Almaraz. ciarp 2005: 262-270 [doi]

A New Approach to Sequence Representation of Proteins in BioinformaticsAngel Fernando Kuri Morales, Martha R. Ortiz-Posadas. micai 2005: 880-889 [doi]

2004

Pattern Recognition via Vasconcelos Genetic AlgorithmAngel Fernando Kuri Morales. ciarp 2004: 328-335 [doi]

Pattern-Based Data CompressionAngel Fernando Kuri Morales, José Galaviz. micai 2004: 1-10 [doi]

2003

Classification Methods Using Neural Networks and Partial Precedence Algorithms for Differential Medical Diagnosis: A Case StudyAngel Fernando Kuri Morales, Martha R. Ortiz-Posadas. iccsa 2003: 378-387 [doi]

Metrics for Symbol Clustering from a Pseudoergodic Information SourceAngel Fernando Kuri Morales, Oscar Herrera-Alcantara. enc 2003: 330-337 [doi]

Efficient Compression from Non-ergodic Sources with Genetic AlgorithmsAngel Fernando Kuri Morales. enc 2003: 324-329 [doi]

2002

A Methodology for the Statistical Characterization of Genetic AlgorithmsAngel Fernando Kuri Morales. micai 2002: 79-88 [doi]

Penalty Function Methods for Constrained Optimization with Genetic Algorithms: A Statistical AnalysisAngel Fernando Kuri Morales, Jesús Gutiérrez-García. micai 2002: 108-117 [doi]

2000

Training Neural Networks Using Non-standard Norms - Preliminary ResultsAngel Fernando Kuri Morales. micai 2000: 350-364