Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Marianne, Clausel"'
In this paper, we propose a new framework to study the generalization property of classifier chains trained over observations associated with multiple and interdependent class labels. The results are based on large deviation inequalities for Lipschit
Externí odkaz:
http://arxiv.org/abs/1807.10166
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Atrial Fibrillation (AF) is the most common type of cardiac arrhythmia. Early diagnosis of AF helps to improve therapy and prognosis. Machine Learning (ML) has been successfully applied to improve the effectiveness of Computer-Aided Diagnosis (CADx)
Externí odkaz:
https://doaj.org/article/cc8204a576514741ade038ff347c4295
Autor:
Benjamin Larvaron, Marianne Clausel, Antoine Bertoncello, Sébastien Benjamin, Georges Oppenheim
Publikováno v:
Journal of Energy Storage. 67:107443
Autor:
Benjamin Larvaron, Marianne Clausel, Antoine Bertoncello, Sébastien Benjamin, Georges Oppenheim
Publikováno v:
Journal of Energy Storage. 65:107180
Autor:
Aleksandra Burashnikova, Massih-Reza Amini, Yury Maximov, Franck Iutzeler, Marianne Clausel, Charlotte Laclau
Publikováno v:
Journal of Artificial Intelligence Research. 71:121-142
In this paper, we propose a theoretically founded sequential strategy for training large-scale Recommender Systems (RS) over implicit feedback, mainly in the form of clicks. The proposed approach consists in minimizing pairwise ranking loss over bloc
Autor:
Dimitri Bouche, Rémi Flamary, Florence d’Alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski
We study the prediction of short term wind speed and wind power (every 10 minutes up to 4 hours ahead). Accurate forecasts for those quantities are crucial to mitigate the negative effects of wind farms' intermittent production on energy systems and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7542968b82ee956156c1350c1c18ac94
http://arxiv.org/abs/2204.09362
http://arxiv.org/abs/2204.09362
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030997380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e801fcaf82ab16ee8bd31f69840b17e8
https://doi.org/10.1007/978-3-030-99739-7_7
https://doi.org/10.1007/978-3-030-99739-7_7
Publikováno v:
Applied and Computational Harmonic Analysis
Applied and Computational Harmonic Analysis, Elsevier, 2021, 50, pp.353-385. ⟨10.1016/j.acha.2019.08.007⟩
Applied and Computational Harmonic Analysis, 2021, 50, pp.353-385. ⟨10.1016/j.acha.2019.08.007⟩
Applied and Computational Harmonic Analysis, Elsevier, 2021, 50, pp.353-385. ⟨10.1016/j.acha.2019.08.007⟩
Applied and Computational Harmonic Analysis, 2021, 50, pp.353-385. ⟨10.1016/j.acha.2019.08.007⟩
International audience; In this work we give a sense to the notion of orientation for self-similar Gaussian fields with stationary increments, based on a Riesz analysis of these fields, with isotropic zero-mean analysis functions. We propose a struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40a85c45f61c3d6aadbed64c946b3454
https://hal.archives-ouvertes.fr/hal-01570978
https://hal.archives-ouvertes.fr/hal-01570978
Publikováno v:
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering, 2022, 9 (4), pp.2123-2138. ⟨10.1109/TNSE.2022.3155359⟩
IEEE Transactions on Network Science and Engineering, 2022, 9 (4), pp.2123-2138. ⟨10.1109/TNSE.2022.3155359⟩
International audience; Collaboration graphs are relevant sources of information to understand behavioural tendencies of groups of individuals. The study of these graphs enables figuring out factors that may affect the efficiency and the sustainabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c530b9a62b9f69f63113cccaa0fbaad6
https://hal.archives-ouvertes.fr/hal-02421787
https://hal.archives-ouvertes.fr/hal-02421787
Publikováno v:
Applied and Computational Harmonic Analysis
Applied and Computational Harmonic Analysis, Elsevier, 2020, 49 (3), pp.1025-1045. ⟨10.1016/j.acha.2019.06.001⟩
Applied and Computational Harmonic Analysis, Elsevier, 2020, 49 (3), pp.1025-1045. ⟨10.1016/j.acha.2019.06.001⟩
International audience; In this paper, we consider the design of wavelet filters based on the Thiran common-factor approach proposed in Selesnick [2001]. This approach aims at building finite impulse response filters of a Hilbert-pair of wavelets ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66a45c2d59a2144021de71714d0f3bb4
https://hal.univ-grenoble-alpes.fr/hal-01613583v2/document
https://hal.univ-grenoble-alpes.fr/hal-01613583v2/document