Eduardo Gasca - researchr alias

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Viewing Publication 1 - 10 from 10

2017

Implementation of Incremental Learning in Artificial Neural NetworksMariela Andrade, Eduardo Gasca, Eréndira Rendón. gcai 2017: 221-232 [doi]

2011

Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance ContextRoberto Alejo, P. Toribio, José Martínez Sotoca, Rosa Maria Valdovinos, Eduardo Gasca. isnn 2011: 19-26 [doi]

A Rejection Option for the Multilayer Perceptron Using HyperplanesEduardo Gasca, Sergio Saldaña T., José S. Sánchez G., Valentín Velásquez G., Eréndira Rendón Lara, Itzel M. Abundez B., Rosa M. Valdovinos R., Rafael Cruz Reyes. icannga 2011: 51-60 [doi]

2009

Neural networks for fitting PES data distributions of asphaltene interactionEduardo Gasca, Juan H. Pacheco, Fernando Alvarez. ijcnn 2009: 946-952 [doi]

Assisting Support Groups of Patients with Chronic Diseases through Persuasive ComputingEduardo Gasca, JesÃºs Favela, Monica Tentori. jucs, 15(16):3081-3100, 2009. [doi]

2008

Persuasive Virtual Communities to Promote a Healthy Lifestyle among Patients with Chronic DiseasesEduardo Gasca, Jesús Favela, Monica Tentori. criwg 2008: 74-82 [doi]

Data Reduction Method for Categorical Data ClusteringEréndira Rendón, J. Salvador Sánchez, René Arnulfo García-Hernández, Itzel Abundez Barrera, Citlalih Gutierrez Estrada, Eduardo Gasca. sbia 2008: 143-152 [doi]

2001

Correccion de la Muestra para el Aprendizaje del Perceptron MulticapaRicardo Barandela, Eduardo Gasca, Roberto Alejo. aepia, 13:2-9, 2001. [doi]

2000

Decontamination of Training Samples for Supervised Pattern Recognition MethodsRicardo Barandela, Eduardo Gasca. gacm 2000: 621-630 [doi]

Influence of Training Sample Preprocessing in Generalization Accuracy of Multilayer PerceptronEduardo Gasca, Ricardo Barandela. sbrn 2000: 281 [doi]

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