13 citations · 14 across the 4 of their papers we have counts for
6 papers
CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments
Estevso Testa, Rodrigo C. Barros, Soraia Raupp Musse
Evacuation plans have been historically used as a safety measure for the construction of buildings. The existing crowd simulators require fully-modeled 3D environments and enough t…
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
Márcio P. Basgalupp, Rodrigo C. Barros, Alex G. C. de Sá +4
This paper presents an experimental comparison among four Automated Machine Learning (AutoML) methods for recommending the best classification algorithm for a given input dataset.…
Imitating Unknown Policies via Exploration
Nathan Gavenski, Juarez Monteiro, Roger Granada +2
Behavioral cloning is an imitation learning technique that teaches an agent how to behave through expert demonstrations. Recent approaches use self-supervision of fully-observable…
Attention-based 3D Object Reconstruction from a Single Image
Andrey Salvi, Nathan Gavenski, Eduardo Pooch +2
Recently, learning-based approaches for 3D reconstruction from 2D images have gained popularity due to its modern applications, e.g., 3D printers, autonomous robots, self-driving c…
Classifying Norm Conflicts using Learned Semantic Representations
João Paulo Aires, Roger Granada, Juarez Monteiro +2
While most social norms are informal, they are often formalized by companies in contracts to regulate trades of goods and services. When poorly written, contracts may contain norma…
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Christian S. Perone, Pedro Ballester, Rodrigo C. Barros +1
Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks. Those mode…