I am a PhD candidate at Université de Lorraine (UL), Nancy – France, advised by Miguel Couceiro and Amedeo Napoli. I am currently member of the Orpailleur team, which is specialized on Knowledge Discovery in Databases (KDD) and in Knowledge Engineering (KE), and teaching at Ecole Nationale Supérieure en Génie des Systèmes et de l’Innovation (ENSGSI).
My current research is mainly focused on the problems related to fairness, particularly the trade-off fairness-performance that arises when we try to mitigate unfairness.
I obtained BSc and MSc degrees in Computer Science from Universidade Federal de Uberlândia (UFU), Uberlândia – Brazil, in 2015 and 2017 respectively. I worked at UFU under the supervision of Sandra de Amo from 2012 to 2014 and Maria C. Barioni from 2015 to 2017. At that time, my research work focused on semi-supervised clustering, preference mining and recommender systems.
What’s new
- [Jan 22] Presenting at Café TAL.
- [Jul 21] Paper accepted at DSAA’21, Remote
- [Apr 21] Presenting at PDIA’21, Remote
- [Feb 21] J’étais sélectionné pour la finale du concours MT180s de l’Université de Lorraine.
- [Dec 20] FixOut’s website is now available. Check it out
Latest publications
- Reducing Unintended Bias of ML Models on Tabular and Textual Data. DSAA, 2021
- Making ML models fairer through explanations: the case of LimeOut. AIST, 2020
Guilherme Alves 