Zobrazeno 1 - 10
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pro vyhledávání: '"Delezoide, A."'
The effectiveness of Recommender Systems (RS) is closely tied to the quality and distinctiveness of user profiles, yet despite many advancements in raw performance, the sensitivity of RS to user profile quality remains under-researched. This paper in
Externí odkaz:
http://arxiv.org/abs/2410.02453
Publikováno v:
European Conference on Optical Communication 2024, Sep 2024, Frankfurt, Germany
We propose a two-stage hybrid QoT model for twinning a real transport network and evaluate it on recently published field data. Accounting for partial calibration of key parameters, we improve the SNR prediction accuracy by more than a factor of two.
Externí odkaz:
http://arxiv.org/abs/2410.02280
Autor:
Petit, Grégoire, Soumm, Michael, Feillet, Eva, Popescu, Adrian, Delezoide, Bertrand, Picard, David, Hudelot, Céline
Class-Incremental Learning (CIL) aims to build classification models from data streams. At each step of the CIL process, new classes must be integrated into the model. Due to catastrophic forgetting, CIL is particularly challenging when examples from
Externí odkaz:
http://arxiv.org/abs/2308.11677
Autor:
Locatelli, Fabiano, Christodoulopoulos, Konstantinos, Delezoide, Camille, Fàbrega, Josep M., Moreolo, Michela Svaluto, Nadal, Laia, Mahajan, Ankush, Spadaro, Salvatore
Superchannels leverage the flexibility of elastic optical networks and pave the way to higher capacity channels in space division multiplexing (SDM) networks. A superchannel consists of subchannels to which continuous spectral grid slots are assigned
Externí odkaz:
http://arxiv.org/abs/2305.17961
Exemplar-free class-incremental learning is very challenging due to the negative effect of catastrophic forgetting. A balance between stability and plasticity of the incremental process is needed in order to obtain good accuracy for past as well as n
Externí odkaz:
http://arxiv.org/abs/2211.13131
Plasticity and stability are needed in class-incremental learning in order to learn from new data while preserving past knowledge. Due to catastrophic forgetting, finding a compromise between these two properties is particularly challenging when no m
Externí odkaz:
http://arxiv.org/abs/2209.06606
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A thorough comprehension of image content demands a complex grasp of the interactions that may occur in the natural world. One of the key issues is to describe the visual relationships between objects. When dealing with real world data, capturing the
Externí odkaz:
http://arxiv.org/abs/1805.10802
Autor:
Keriel, Nolwenn-Amandine1 (AUTHOR) k-amandina@hotmail.com, Delezoide, Camille1 (AUTHOR) ngoc-diep.lai@ens-paris-saclay.fr, Chauvin, David1 (AUTHOR) chi-thanh.nguyen@ens-cachan.fr, Korri-Youssoufi, Hafsa2 (AUTHOR) hafsa.korri-youssoufi@universite-paris-saclay.fr, Lai, Ngoc Diep1 (AUTHOR), Ledoux-Rak, Isabelle1 (AUTHOR) isabelle.ledoux@ens-paris-saclay.fr, Nguyen, Chi-Thanh1 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7373. 21p.
Akademický článek
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