katerevoredo at uniriotec dot br

katerevoredo at gmail dot com

I am an associate professor at Department of Applied Informatics at Federal University of the State of Rio de Janeiro (UNIRIO). I received my PhD at the Department of Systems Engineering and Computer Science (PESC), filiated to the Alberto Luiz Coimbra Graduate and Engineering Research Institute (COPPE) at the Federal University of Rio de Janeiro (UFRJ). The supervisors of my PhD thesis were Professors Gerson Zaverucha and Vitor Santos Costa . Before starting the PhD, I received a Msc in Systems Engineering and Computer Science (2002) from COPPE/UFRJ and, before that, an undergraduate degree in Mathematics (1999) from Federal University of Rio de Janeiro (UFRJ).

In 2006, I was a visiting researcher at the Machine Learning and Natural Language Processing Lab of the Institute for Compute Science at Freiburg University, Germany, under the supervision of Professor Luc De Raedt.

My main research areas are Machine Learning and Data Mining and, within those, I am interested in relational and probabilistic learning, i.e. the developments of algorithms which learn a new knowledge represented through first-order logic and probabilities. Probabilistic ILP (aka Probabilistic Logic Learning and quite related to Statistical Relational Learning) is an exciting, emerging research area in the intersection of ILP and Probabilistic Learning. My PhD thesis was about a combination of concept learning and theory revision techniques in Probabilistic Logic Learning and ILP.

- PFORTE, developed together with Aline Paes.
Revision of Probabilistic Logic Models from Examples, inspired on FORTE. Currently, it is able to revise Bayesian Logic Programs, also making use of novel predicate invention operators.

- DAHVI (Discriminative Approach for Hidden Variable Introduction)
Revision of Bayesian networks through hidden variable introduction.