activity
20082020
most citedRobustness Analysis of Bayesian Networks with Local Convex Sets of Distributions

32 citations · 129 across the 11 of their papers we have counts for

collaborators

14 papers

cs.AI20202 cited

Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems

Gustavo Padilha Polleti, Douglas Luan de Souza, Fabio Cozman

A few Recommender Systems (RS) resort to explanations so as to enhance trust in recommendations. However, current techniques for explanation generation tend to strongly uphold the…

cs.LG2019

Measuring Unfairness through Game-Theoretic Interpretability

Juliana Cesaro, Fabio G. Cozman

One often finds in the literature connections between measures of fairness and measures of feature importance employed to interpret trained classifiers. However, there seems to be…

cs.CL2018

A Fully Attention-Based Information Retriever

Alvaro Henrique Chaim Correia, Jorge Luiz Moreira Silva, Thiago de Castro Martins +1

Recurrent neural networks are now the state-of-the-art in natural language processing because they can build rich contextual representations and process texts of arbitrary length.…

cs.AI2018

Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach

Arthur Colombini Gusmão, Alvaro Henrique Chaim Correia, Glauber De Bona +1

Knowledge bases are employed in a variety of applications from natural language processing to semantic web search; alas, in practice their usefulness is hurt by their incompletenes…

cs.AI20172 cited

Speeding-up ProbLog's Parameter Learning

Francisco H. O. V. de Faria, Arthur C. Gusmão, Fabio G. Cozman +1

ProbLog is a state-of-art combination of logic programming and probabilities; in particular ProbLog offers parameter learning through a variant of the EM algorithm. However, the re…

cs.AI2017

On the Semantics and Complexity of Probabilistic Logic Programs

Fabio Gagliardi Cozman, Denis Deratani Mauá

We examine the meaning and the complexity of probabilistic logic programs that consist of a set of rules and a set of independent probabilistic facts (that is, programs based on Sa…