Caroline Mazini-Rodrigues

• Site: Paris
• Group: image processing and pattern recognition

Short Bio

I obtained my master degree in 2020 at the Institute of Computing (IC) at the University of Campinas (UNICAMP), working with Complex Data Analysis for Events Detection in a forensic computing context. I have a bachelor’s degree in Computer Science from the Universidade Estadual Paulista Júlio de Mesquita Filho, UNESP (2017). During this period, I worked with edge detection in digital images and biometrics, focusing on facial recognition.

Currently, I’m a PhD student at EPITA and ESIEE Paris where I integrate the EPITA Research Laboratory (LRE) and Gaspard Monge Computer Science Laboratory (LIGM). I work with explicability and intepretability of Deep Neural Networks under the supervision of Laurent Najman and Nicolas Boutry.

Research

Currently I work on Explainable Artificial Intelligence (xAI) in order to explain Convolutional Neural Network’s behavior through more human-interpretable visualizations.

My main research interests are:

• Explainable Artificial Intelligence: applying and proposing techniques to provide more transparency and interpretability to machine learning techniques, specially in Deep Learning models;

• Representation Learning: understanding different ways in which data can be organized (through a learning process) to evince important data patterns;

• Applied image analysis: including the domains of biometrics (facial recognition) and forensics.

My Orcid page.

Publications

For a full list of publications, you can check:

• Google Scholar Page
• DPLB