36 citations · 73 across the 10 of their papers we have counts for
12 papers
Top-Down Deep Clustering with Multi-generator GANs
Daniel de Mello, Renato Assunção, Fabricio Murai
Deep clustering (DC) leverages the representation power of deep architectures to learn embedding spaces that are optimal for cluster analysis. This approach filters out low-level i…
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…
Stop the Clock: Are Timeout Effects Real?
Niander Assis, Renato Assunção, Pedro O. S. Vaz-De-Melo
Timeout is a short interruption during games used to communicate a change in strategy, to give the players a rest or to stop a negative flow in the game. Whatever the reason, coach…
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…
A latent shared-component generative model for real-time disease surveillance using Twitter data
Roberto C. S. N. P. Souza, Denise E. F de Brito, Renato M. Assunção +1
Exploiting the large amount of available data for addressing relevant social problems has been one of the key challenges in data mining. Such efforts have been recently named "data…
Where geography lives? A projection approach for spatial confounding
Marcos O. Prates, Erica C. Rodrigues, Renato M. Assunção
Spatial confounding between the spatial random effects and fixed effects covariates has been recently discovered and showed that it may bring misleading interpretation to the model…
Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times
Pedro O. S. Vaz de Melo, Christos Faloutsos, Renato Assunção +2
With the advancement of information systems, means of communications are becoming cheaper, faster and more available. Today, millions of people carrying smart-phones or tablets are…
Detection of spatial pattern through independence of thinned processes
Renato M. Assuncao, Pablo A. Ferrari
Let N, N' and N'' be point processes such that N' is obtained from N by homogeneous independent thinning and N''= N- N'. We give a new elementary proof that N' and N'' are independ…