Addisson Salazar

Dr. Addisson Salazar received the B.Sc. and M.Sc. degrees in Information and Systems Engineering from Universidad Industrial de Santander, the D.E.A. degree in Telecommunications from Universitat Politècnica de València (UPV) in 2003, and the Dr. in Telecommunications degree from UPV in 2011. He is a senior research official in the Institute of Telecommunications and Multimedia Applications at UPV since 2007. His research interests include statistical signal processing, machine learning, and pattern recognition with emphasis on methods for signal classification based on decision fusion, time-frequency techniques, and mixtures of independent component analyzers. The application of his research has been focused on data mining, nondestructive testing and biomedical problems.

Publications

New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection
New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection
Addisson Salazar, Gonzalo Safont, Alberto Rodriguez, Luis Vergara. © 2019. 16 pages.
Automatic credit card fraud detection (ACCFD) is a challenge issue that has been increasingly studied considering the expanded potential of new technologies to emulate legitimate...
New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection
New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection
Addisson Salazar, Gonzalo Safont, Alberto Rodriguez, Luis Vergara. © 2018. 14 pages.
Automatic credit card fraud detection (ACCFD) is a challenge issue that has been increasingly studied considering expanded potential of new technologies to emulate legitimate...
An Experimental Sensitivity Analysis of Gaussian and Non-Gaussian Based Methods for Dynamic Modeling in EEG Signal Processing
An Experimental Sensitivity Analysis of Gaussian and Non-Gaussian Based Methods for Dynamic Modeling in EEG Signal Processing
Gonzalo Safont, Addisson Salazar, Alberto Rodriguez, Luis Vergara. © 2015. 14 pages.