COVID-19 and business failures: The paradoxes of ...Scholars Portal Journals
journals.scholarsportal.info
Authors. Vlad Vasilescu · Ana Neacsu · Emilie Chouzenoux · Jean-Christophe Pesquet · Corneliu Burileanu. Source Information. April 2021, IssueCompletePages, p. Authors. Vlad Vasilescu · Ana Neacsu · Emilie Chouzenoux · Jean-Christophe Pesquet · Corneliu Burileanu. Source Information. April 2021, IssueCompletePages, p.
SearchOpenReview
openreview.net
Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu. Published: 31 Dec 2019, Last Modified: 12 May 2023; EUSIPCO 2020; Readers: Everyone ... Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu. Published: 31 Dec 2019, Last Modified: 12 May 2023; EUSIPCO 2020; Readers: Everyone ...
Provably Tightest Linear Approximation for Robustness ...ACM Digital Library
dl.acm.org
von Z Zhang · · Zitiert von: 10 — Ana Neacsu, Jean-Christophe Pesquet, and Corneliu Burileanu Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. In ... von Z Zhang · · Zitiert von: 10 — Ana Neacsu, Jean-Christophe Pesquet, and Corneliu Burileanu Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. In ...
PDF ACTIVITY REPORT Project-Team - InriaInria
radar.inria.fr
— Participants: Ana Neacsu, Kavya Gupta, Fragkiskos Malliaros, Jean-Christophe Pesquet (Collaboration: P. Combettes, North Caroline State — Participants: Ana Neacsu, Kavya Gupta, Fragkiskos Malliaros, Jean-Christophe Pesquet (Collaboration: P. Combettes, North Caroline State ...
Ana Neacsudblp: computer science bibliography
dblp.org
Ana Neacsu , Jean-Christophe Pesquet , Corneliu Burileanu : EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. ACM Trans. Ana Neacsu , Jean-Christophe Pesquet , Corneliu Burileanu : EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. ACM Trans.
Corneliu Burileanudblp: computer science bibliography
dblp.org
Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu: Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. ICASSP 2020: [c58]. Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu: Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. ICASSP 2020: [c58].
Signal Denoising Using a New Class of Robust Neural NetworksArchive ouverte HAL
centralesupelec.hal.science
Signal Denoising Using a New Class of Robust Neural Networks. Ana Neacsu (1) , Kavya Gupta (1) , Jean-Christophe Pesquet (1) , Corneliu Burileanu (2). Signal Denoising Using a New Class of Robust Neural Networks. Ana Neacsu (1) , Kavya Gupta (1) , Jean-Christophe Pesquet (1) , Corneliu Burileanu (2).
Integrating deep learning CT-scan model, biological and ...Nature
www.nature.com
von N Lassau · · Zitiert von: 161 — ... Ana Neacsu, Jean-Christophe Pesquet & Hugues Talbot. Radiology Department, Hôpital de Bicêtre – AP-HP, Université Paris-Saclay, Le Kremlin ... von N Lassau · · Zitiert von: 161 — ... Ana Neacsu, Jean-Christophe Pesquet & Hugues Talbot. Radiology Department, Hôpital de Bicêtre – AP-HP, Université Paris-Saclay, Le Kremlin ...
Alle Infos zum Namen "Ana Neacsu"
A Deep Learning Approach for Improved Segmentation of Lesions ...hal.univ-antilles.fr › INRIA
hal.univ-antilles.fr
Vlad Vasilescu 1 Ana Neacsu 1, 2 Emilie Chouzenoux 2 Jean-Christophe Pesquet 2 Corneliu Burileanu 1. Détails. 1 UPB - University Politehnica of Bucharest ...
Signal Denoising Using a New Class of Robust Neural HAL-Insermwww.hal.inserm.fr › INRIA › hal
www.hal.inserm.fr
Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu. Signal Denoising Using a New Class of Robust Neural Networks. EUSIPCO
Accuracy-Robustness Trade-Off For Positively Weighted Neural Networks
rc.signalprocessingsociety.org
Authors: Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu. Page/Slide Count: 0:13:39. This work proposes a new learning strategy ...
IEEE ICASSP || Barcelona, Spain || 4-8 May 2020cmsworkshops.com › ViewPaper
cmsworkshops.com
Authors, Ana Neacsu, University Politehnica of Bucharest, Romania; Jean-Christophe Pesquet, Université Paris-Saclay, CentraleSupélec, Inria, ...
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