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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.

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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.

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.