| Thalita Drumond

Degrees

2016 - 2020 PhD in computer science

at Université de Bordeaux , Bordeaux, France

2014 - 2016 MSc Electrical engineering/Computer engineering

at University of Campinas (Unicamp) , Campinas, SP, Brazil

2011 - 2013 Diplôme d’ingenieur (Master’s degree)

at Télécom Paristech , Paris, France

2008 - 2014 BSc Electrical engineering

at University of Campinas (Unicamp) , Campinas, SP, Brazil

Employment

2021 Course instructor

at EPSI Bordeaux and Toulouse , France

2020 Temporary professor (ATER)

at Université de Bordeaux, France

2017 - 2019 Doctoral teaching assistant

at Université de Bordeaux , France

2016 - 2019 PhD candidate researcher

at Mnemosyne Project-Team, Inria Bordeaux Sud-Ouest, France

2014 - 2016 MSc candidate researcher

at University of Campinas , Brazil

2013 - 2012 Engineering Internship

at LCE, LIST, CEA , Gif-sur-Yvette, France

Projects

2018 Reimplementation of LDMnet

Reimplementation of LDMnet model in pytorch + skorch

2018 Data prototypes for interpretability

Code for "Bio-inspired analysis of deep learning on not-so-big data using data-prototypes."

2015 Reclab: experiments with recommender systems

Experiments with recommender systems that I did during my masters research work.

Teaching

2020 Intro aux bases de données et la programmation web (Intro to Databases and web developpement)

1st year undergraduate course (License 1) at Université de Bordeaux, Department Informatique , Bordeaux, France

2020 Algorithmique des tableaux (Array algorithms)

1st year undergraduate course (License 1) at Université de Bordeaux, Department Informatique , Bordeaux, France

2017 Intro aux réseaux de neurones et le deep learning

Master level, 1st year at Université de Bordeaux , Bordeaux, France

Publications

2017 Using Prototypes to Improve Convolutional Networks Interpretability

Citation: Thalita Drumond, Thierry Viéville, Frédéric Alexandre, "Using Prototypes to Improve Convolutional Networks Interpretability." In Annual Conference on Neural Information Processing Systems: Transparent and Interpretable Machine Learning in Safety Critical Environments Workshop, 2017.

2016 Ensemble for Collaborative Filtering Based on Random Projections and Boolean Matrix Factorization

Citation: T.F. Drumond, F.J. Von, "Ensemble for Collaborative Filtering Based on Random Projections and Boolean Matrix Factorization." In Proceedings of the 15th IASTED International Conference on Intelligent Systems and Control, ISC 2016, 2016.

2016 Co-clustering in collaborative filtering committees and in brain activity analysis

Citation: Thalita Drumond, "Co-clustering in collaborative filtering committees and in brain activity analysis." At University of Campinas, 2016.

Talks

2019, Jun 21 Introduction à l’intelligence artificielle

Invited speaker at Journée d’Étude des Activités pour l’enseignement de l’IA (APEIA),Inria Bordeaux et ESPE Nice , Bordeaux, France

2019, Mar 11 Voir plus loin avec le deep learning (bis)

Invited speaker at Séminaire universitaire "Intelligence artificielle et sens clinique", at Université de Bordeaux , Bordeaux, France

2018, Mar 22 Voir plus loin avec le deep learning

Science popularization talk at Inria Bordeaux Sud-Ouest , Talence, France