G
Gabriela Lewenfus
Researcher at Federal University of Rio de Janeiro
Publications - 6
Citations - 49
Gabriela Lewenfus is an academic researcher from Federal University of Rio de Janeiro. The author has contributed to research in topics: Deep learning & Graph (abstract data type). The author has an hindex of 2, co-authored 6 publications receiving 15 citations.
Papers
More filters
Journal ArticleDOI
The Multiple Representations of Complex Digit Movements in Primary Motor Cortex Form the Building Blocks for Complex Grip Types in Capuchin Monkeys.
Andrei Mayer,Mary K. L. Baldwin,Dylan F. Cooke,Bruss Lima,Jeffrey Padberg,Gabriela Lewenfus,João G. Franca,Leah Krubitzer +7 more
TL;DR: The results suggest that the functional organization of the motor cortex represents not just muscles of the body, but muscle synergies that form the building blocks of the complex behavioral repertoire of these animals.
Journal ArticleDOI
Automatic event identification and extraction from daily drilling reports using an expert system and artificial intelligence
Lucas Pinheiro Cinelli,Jose F. L. de Oliveira,Vinicius Pinho,Wesley L. Passos,Rafael Padilla,Patrick F. Braz,Breno L Galves,Domenica P. Dalvi,Gabriela Lewenfus,Jonathas O. Ferreira,Anthony Y.Y. Ji,Felipe Lima De Oliveira,Clemente Gonçalves,Sergio L. Netto,Eduardo A. B. da Silva,Marcello L. R. de Campos +15 more
TL;DR: The test results indicate that the two proposed approaches can lead to very significant improvements in the efficiency of the otherwise manual annotation processes, which are typically error prone and very time consuming.
Journal ArticleDOI
Joint Forecasting and Interpolation of Time-Varying Graph Signals Using Deep Learning
TL;DR: The proposed learning model outperforms state-of-the-art deep learning techniques, especially when predictions are made using a small subset of network nodes, considering two distinct real world datasets: temperatures in the US and speed flow in Seattle.
Journal ArticleDOI
Thalamic Inputs to Posterior Parietal Cortical Areas Involved in Skilled Forelimb Movement and Tool Use in the Capuchin Monkey.
Andrei Mayer,Gabriela Lewenfus,Ruben Ernesto Bittencourt-Navarrete,Francisco Clascá,João G. Franca +4 more
TL;DR: This work quantified and compared the sources of thalamic input to electrophysiologically-identified hand/forearm-related regions of several PPC areas of the capuchin monkey, and found that these areas receive most of theirThalamic connections from the Anterior Pulvinar (PuA), Lateral Posterior (LP) and Medial PulvinAR (puM) nuclei.
Proceedings ArticleDOI
On the Use of Vertex-Frequency Analysis for Anomaly Detection in Graph Signals
TL;DR: This paper provides a brief and up-to-date overview on state-of-the-art VFA tools, namely windowed graph Fourier transform and spectral graph wavelet transform and shows how VFA can be applied to detect and localize anomalies in GS.