View source for Caroline Mazini Rodrigues


== Contact ==

* Email: cmr (at) lrde.epita.fr

== Short Bio ==

Caroline concluded the graduation in Computer Science in 2017 at [https://www.fct.unesp.br/ Universidade Estadual Paulista Júlio de Mesquita Filho], researching topics as: Edge Detection in Digital Images, Biometrics and Facial Recognition techniques with emphasis on the Local Binary Pattern method. She received an M.Sc. degree in Computer Science in 2020 from the [https://ic.unicamp.br/ Institute of Computing - University of Campinas (UNICAMP)], where she worked with Complex Data Analysis for Events Detection in forensic context. Currently, she is a PhD student at ESIEE Paris - Université Gustave Eiffel and at EPITA, working at LIGM and LRDE laboratories with analysis of Convolutional Neural Network through explainability techniques.

== Current Status ==

* PhD student at École Doctorale Mathématiques, Sciences et Technologies de l’Information et de la Communication (MSTIC)
* Subject: Could we learn from deep learning?
* Advisors: Laurent Najman (ESIEE), [[User:nboutry|Nicolas Boutry]] (LRDE)

== Publications ==

Rafael Padilha, Caroline Mazini Rodrigues, Fernanda Andaló, Gabriel Bertocco, Zanoni Dias and Anderson Rocha, ''Forensic Event Analysis: From Seemingly Unrelated Data to Understanding'' '''IEEE Security & Privacy 18 (6), 2020'''

Caroline Mazini Rodrigues, Luis Pereira, Anderson Rocha and Zanoni Dias, ''Image semantic representation for event understanding'' '''2019 IEEE International Workshop on Information Forensics and Security (WIFS), 2019'''