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About Us

Gonzalo Safont

Gonzalo Safont reveived his B.Eng. and his Ph.D. degrees in Telecommunications Engineering from the Universitat Politècnica de València (UPV), Spain, in 2008 and 2015, respectively. He is currently working as a researcher at the Signal Processing Group, a member group of the Institute of Telecommunications and Multimedia Applications (iTEAM) of UPV. His main interests concentrate in the signal processing field. He has worked in advanced methods for data mining, prediction, and dynamic modeling based on mixture of independent component analyzers and decision fusion techniques. He has worked in different applied problems including financial data mining, non-destructive testing, and biomedical diagnosis. He has published 3 papers in JCR-indexed journals, 1 book chapter in an international publisher, and 14 international conference papers. He has also participated in several national and international projects and industry contracts.

Publications

New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection

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

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