Velásquez Juan

Improving Web Site Content Using a Concept-Based Knowledge Discovery Process. Sebastián A. Ríos, Juan D. Velásquez, Eduardo S. Vera, Hiroshi Yasuda, Terumasa Aoki:

Semantic Web Usage Mining by a Concept-Based Approach for Off-line Web Site Enhancements. Sebastián A. Ríos, Juan D. Velásquez:

Finding Inner Copy Communities Using Social Network Analysis. Eduardo Merlo, Sebastián A. Ríos, Héctor Álvarez, Gaston L’Huillier, Juan D. Velásquez

FastDocode: Finding Approximated Segments of N-Grams for Document Copy Detection. Gabriel Oberreuter, Gaston L’Huillier, Sebastián A. Ríos, Juan D. Velásquez:

Neural Networks for Emotion Recognition Based on Eye Tracking Data.Claudio Aracena, Sebastián Basterrech y, Václav Snášely, and Juan Velásquez

Eye tracking and EEG features for salient Web object identification Gino Slanzi, Claudio Aracena, and Juan D. Velásquez

Opinion Mining and Information Fusion: A Survey Jorge A. Balazs, Juan D. Velasquez

DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources. Juan D. Velásqueza, Yerko Covacevicha, Francisco Molinaa, Edison Marrese-Taylora, Cristián Rodrígueza, Felipe Bravo-Marquezb

Combining Eye Tracking and Pupillary Dilation Analysis to Identify Website Key Objects. Pablo Loyolaa, Gustavo Martineza, Kristofher Mu~nozb, Juan D. Velasqueza, Pedro Maldonadoc, Andres Couvec

A novel deterministic approach for aspect-based opinion mining in tourism products reviews. Marrese-Taylor, Edison, Velásquez, Juan y Bravo-Marquez, Felipe

Segmentación de los contribuyentes que declaran IVA aplicando herramientas de clustering. S. Lückeheide; J. D. Velásquez y L. Cerca.

Una metodología para mejorar el contenido de un sitio web a partir de la identificación de sus web site keywords. J. I. Fernández y J. D. Velásquez.