Rule extraction from support vector machines. - Haydemar Núñez; Cecilio Angulo; Andreu Català (ESANN, 2002)

Rule Extraction from Radial Basis Function Networks by Using Support Vectors. - Haydemar Núñez; Cecilio Angulo; Andreu Català (IBERAMIA, 2002)

Support Vector Machines with Symbolic Interpretation. - Haydemar Núñez; Cecilio Angulo; Andreu Català (SBRN, 2002)

Hybrid Architecture Based on Support Vector Machines. - Haydemar Núñez; Cecilio Angulo; Andreu Català (IWANN (1), 2003)

Rule-Based Learning Systems for Support Vector Machines. - Haydemar Núñez; Cecilio Angulo; Andreu Català (Neural Process. Lett., 2006)

A Fuzzy Hybrid Intelligent System for Human Semen Analysis. - Esmeralda Ramos; Haydemar Núñez; Roberto Casañas (IBERAMIA, 2008)

Rule Extraction Based on Support and Prototype Vectors. - Haydemar Núñez; Cecilio Angulo; Andreu Català (Rule Extraction from Support Vector Machines, 2008)

A post-processing strategy for SVM learning from unbalanced data. - Haydemar Núñez; Luis González Abril; Cecilio Angulo (ESANN, 2011)

Automatic classification of academic documents using text mining techniques. - Haydemar Núñez; Esmeralda Ramos (CLEI, 2012)

An ontology learning and teaching techniques for competency-based curricula design. - Glendys Munoz; Milagros Barrera; Vanessa Miguel; Nora Montaño; Haydemar Núñez; Esmeralda Ramos (CLEI, 2013)

GSVM: An SVM for handling imbalanced accuracy between classes inbi-classification problems. - Luis González Abril; Haydemar Núñez; Cecilio Angulo; Francisco Velasco Morente (Appl. Soft Comput., 2014)

Handling binary classification problems with a priority class by using Support Vector Machines. - Luis González Abril; Cecilio Angulo; Haydemar Núñez; Yenny Leal (Appl. Soft Comput., 2017)

Improving SVM Classification on Imbalanced Datasets by Introducing a New Bias. - Haydemar Núñez; Luis González Abril; Cecilio Angulo (J. Classif., 2017)

Enhancing Social Recommenders with Implicit Preferences and Fuzzy Confidence Functions. - Camilo A. Franco; Nicolás Hernández; Haydemar Núñez (MDAI, 2021)

Remote Sensing and Machine Learning Modeling to Support the Identification of Sugarcane Crops. - Carlos Andres Lozano-Garzon; Germán Enrique Bravo Córdoba; Harold Castro; Geovanny González-Rodríguez; David Niño; Haydemar Núñez; Carolina Pardo; Aurelio Vivas; Yuber Castro; Jazmin Medina; Luis Carlos Motta; Julio Rene Rojas; et al. (IEEE Access, 2022)