36 citations · 45 across the 3 of their papers we have counts for
6 papers
Cooperative Object Transportation using Gibbs Random Fields
Paulo Rezeck, Renato M. Assunção, Luiz Chaimowicz
This paper presents a novel methodology that allows a swarm of robots to perform a cooperative transportation task. Our approach consists of modeling the swarm as a {\em Gibbs Rand…
Flocking-Segregative Swarming Behaviors using Gibbs Random Fields
Paulo Rezeck, Renato M. Assuncao, Luiz Chaimowicz
This paper presents a novel approach that allows a swarm of heterogeneous robots to produce simultaneously segregative and flocking behaviors using only local sensing. These behavi…
Fast Estimation of Causal Interactions using Wold Processes
Flavio Figueiredo, Guilherme Borges, Pedro O. S. Vaz de Melo +1
We here focus on the task of learning Granger causality matrices for multivariate point processes. In order to accomplish this task, our work is the first to explore the use of Wol…
Luck is Hard to Beat: The Difficulty of Sports Prediction
Raquel YS Aoki, Renato M Assuncao, Pedro OS Vaz de Melo
Predicting the outcome of sports events is a hard task. We quantify this difficulty with a coefficient that measures the distance between the observed final results of sports leagu…
Antagonism also Flows through Retweets: The Impact of Out-of-Context Quotes in Opinion Polarization Analysis
Pedro Calais Guerra, Roberto C. S. N. P. Souza, Renato M. Assunção +1
In this paper, we study the implications of the commonplace assumption that most social media studies make with respect to the nature of message shares (such as retweets) as a pred…
Burstiness Scale: a highly parsimonious model for characterizing random series of events
Rodrigo A S Alves, Renato Assunção, Pedro O S Vaz de Melo
The problem to accurately and parsimoniously characterize random series of events (RSEs) present in the Web, such as e-mail conversations or Twitter hashtags, is not trivial. Repor…