Influence of Training Sample Preprocessing in Generalization Accuracy of Multilayer Perceptron. - Eduardo Gasca; Ricardo Barandela (SBRN, 2000)

Decontamination of Training Samples for Supervised Pattern Recognition Methods. - Ricardo Barandela; Eduardo Gasca (SSPR/SPR, 2000)

Correccion de la Muestra para el Aprendizaje del Perceptron Multicapa. - Ricardo Barandela; Eduardo Gasca; Roberto Alejo (Inteligencia Artif., 2001)

Eliminating redundancy and irrelevance using a new MLP-based feature selection method. - Eduardo Gasca; José Salvador Sánchez 001; R. Alonso (Pattern Recognit., 2006)

Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. - Rosa Maria Valdovinos; José Salvador Sánchez 001; Eduardo Gasca (IbPRIA (2), 2007)

Persuasive Virtual Communities to Promote a Healthy Lifestyle among Patients with Chronic Diseases. - Eduardo Gasca; Jesús Favela; Monica Tentori (CRIWG, 2008)

Data Reduction Method for Categorical Data Clustering. - Eréndira Rendón; J. Salvador Sánchez 001; René Arnulfo García-Hernández; Itzel Abundez Barrera; Citlalih Gutierrez Estrada; Eduardo Gasca (IBERAMIA, 2008)

Neural networks for fitting PES data distributions of asphaltene interaction. - Eduardo Gasca; Juan H. Pacheco; Fernando Alvarez (IJCNN, 2009)

Assisting Support Groups of Patients with Chronic Diseases through Persuasive Computing. - Eduardo Gasca; Jesús Favela; Monica Tentori (J. Univers. Comput. Sci., 2009)

A Rejection Option for the Multilayer Perceptron Using Hyperplanes. - Eduardo Gasca; Sergio Saldaña T.; José S. Sánchez G.; Valentín Velásquez G.; Eréndira Rendón Lara; Itzel M. Abundez B.; Rosa M. Valdovinos R.; José Rafael Cruz Reyes (ICANNGA (1), 2011)

Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context. - Roberto Alejo; P. Toribio; José Martínez Sotoca; Rosa Maria Valdovinos; Eduardo Gasca (ISNN (2), 2011)

Implementation of Incremental Learning in Artificial Neural Networks. - Mariela Andrade; Eduardo Gasca; Eréndira Rendón (GCAI, 2017)