Pygsp: Graph signal processing in python M Defferrard, L Martin, R Pena, N Perraudin URL https://github. com/epfl-lts2/pygsp, 2017 | 69* | 2017 |
Source localization on graphs via ℓ1 recovery and spectral graph theory R Pena, X Bresson, P Vandergheynst 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop …, 2016 | 17 | 2016 |
Evaluating audiovisual source separation in the context of video conferencing B Inan12, M Cernak, H Grabner23, HP Tukuljac, RCG Pena, B Ricaud | 8 | 2019 |
PyUNLocBoX: Optimization by Proximal Splitting M Defferrard, R Pena, N Perraudin doi 10, 111, 2017 | 6 | 2017 |
Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis V Baroutsou, R Cerqueira Gonzalez Pena, R Schweighoffer, ... JMIR Formative Research 7, e38399, 2023 | 3 | 2023 |
On the optimal sampling design for the Graph Total Variation decoder: recovering piecewise-constant graph signals from a few vertex measurements R Cerqueira Gonzalez Pena EPFL, 2020 | 2* | 2020 |
A New Framework for Error Analysis in Computational Paleographic Dating of Greek Papyri G De Gregorio, L Ferretti, RCG Pena, I Marthot-Santaniello, ... International Conference on Document Analysis and Recognition, 102-118, 2024 | | 2024 |
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval G De Gregorio, S Perrin, RCG Pena, I Marthot-Santaniello, H Mouchère International Conference on Document Analysis and Recognition, 71-86, 2024 | | 2024 |
Métricas de qualidade de vídeo com características top-down de atenção visual RCG Pena | | 2014 |