2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions
Niraj Kumar-Singh, Gustavo Polleti, Saee Paliwal +1
While there are a plethora of methods for link prediction in knowledge graphs, state-of-the-art approaches are often black box, obfuscating model reasoning and thereby limiting the…
cs.CL2024★ 2 cited
Building a Language-Learning Game for Brazilian Indigenous Languages: A Case of Study
Gustavo Polleti
In this paper we discuss a first attempt to build a language learning game for brazilian indigenous languages and the challenges around it. We present a design for the tool with ga…
cs.AI2020★ 2 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…