This is the website of the Knowledge-Augmented Machine Learning Group (KAMeL) at the University of São Paulo.
About
The group investigates computational aspects of knowledge-rich approaches to machine learning, with a focus on techniques that combine logic and probabilistic reasoning.
The group is related to the
Laboratory of Formal Methods and Artificial Intelligence (LIAMF) of the
Institute of Mathematics and Statistics, and
and to the
Center of Artificial Intelligence of USP (C4AI).
Members
Principal Investigator
Denis D. Mauá, Associate Professor
Postdocs
- Victor Hugo Rocha Nascimento
PhD Students
MSc Students
- Dayana Isabel Agudo Guiracocha
- Christian Fabian Barreto Paredes
- Gabriel Acassio Correia
- Augusto Mariano Bernardi
- Anahí Maciel
Undergrad Students
Former Students
- Igor Silveira, PhD
- Jonas Gonçalves, MSc
- André Barbosa, MSc
- Samuel Guimarães, MSc
- Guilherme Yambanis, MSc
- Ana Paula T. da Fonseca, Intern
- Vinícius Shimizu, Intern
- Nathália Tsuno, Intern
- Julissa Villanueva, PhD
- Renato Geh, MSc
- Tiago Madeira, MSc
- Caio Martinelli, MSc
- Heitor Ribeiro, MSc
- Gustavo Katague, MSc
- Luís Moneda, MSc
- Walter Peres, MSc
Software
Ongoing Research Projects