Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Isabelle Guyon"'
Autor:
Clémentine Decamps, Alexis Arnaud, Florent Petitprez, Mira Ayadi, Aurélia Baurès, Lucile Armenoult, HADACA consortium, Sergio Escalera, Isabelle Guyon, Rémy Nicolle, Richard Tomasini, Aurélien de Reyniès, Jérôme Cros, Yuna Blum, Magali Richard
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background Quantification of tumor heterogeneity is essential to better understand cancer progression and to adapt therapeutic treatments to patient specificities. Bioinformatic tools to assess the different cell populations from single-omic
Externí odkaz:
https://doaj.org/article/058d20de2be3482f8a2ca46687cc807d
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Graph structured data is ubiquitous in daily life and scientific areas and has attracted increasing attention. Graph Neural Networks (GNNs) have been proved to be effective in modeling graph structured data and many variants of GNN architectures have
Externí odkaz:
https://doaj.org/article/2475712d67f94864b76d1017c58d82b9
Publikováno v:
Algorithms, Vol 15, Iss 7, p 254 (2022)
We address the problem of defending predictive models, such as machine learning classifiers (Defender models), against membership inference attacks, in both the black-box and white-box setting, when the trainer and the trained model are publicly rele
Externí odkaz:
https://doaj.org/article/b8ef98441c4745989e91d49b544fb021
Publikováno v:
Entropy, Vol 23, Iss 9, p 1165 (2021)
Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder the reproducibility of existing results based on private healthcare data and also limit ne
Externí odkaz:
https://doaj.org/article/752b40c99b834e19ae0bd0758d7bff44
Publikováno v:
ESANN 2022-European Symposium on Artificial Neural Networks
ESANN 2022-European Symposium on Artificial Neural Networks, Oct 2022, Bruges, Belgium
ESANN 2022-European Symposium on Artificial Neural Networks, Oct 2022, Bruges, Belgium
International audience; We address the problem of selecting a winning algorithm in a challenge or benchmark. While evaluations of algorithms carried out by third party organizers eliminate the inventor-evaluator bias, little attention has been paid t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::275740e6a90837c3b597de42ff8a5c5d
https://inria.hal.science/hal-03869648
https://inria.hal.science/hal-03869648
Autor:
Yunan Li, Chi Lin, Qiguang Miao, Sergio Escalera, Isabelle Guyon, Gholamreza Anbarjafari, Guodong Guo, Longyin Wen, Stan Z. Li, Jun Wan
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and International Conference on Computer Vision (ICCV) 2017, attracting mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41937182a2a0d966c6da820a943d0e21
https://hdl.handle.net/20.500.11782/2648
https://hdl.handle.net/20.500.11782/2648
Publikováno v:
IJCNN 2022-International Joint Conference on Neural Networks
IJCNN 2022-International Joint Conference on Neural Networks, Jul 2022, Padua, Italy. pp.1-8
IJCNN 2022-International Joint Conference on Neural Networks, Jul 2022, Padua, Italy. pp.1-8
International audience; Meta-learning has been widely studied and implemented in many Automated Machine Learning systems to improve the process of selecting and training Machine Learning models for new tasks, by leveraging expertise acquired on previ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e882d2a2a7c770d6ba5494d8b49bb2ac
https://hal.science/hal-03740118/file/conference_101719.pdf
https://hal.science/hal-03740118/file/conference_101719.pdf
Autor:
Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
Publikováno v:
Patterns
Patterns, 2022
Patterns, 2022
International audience; Obtaining standardized crowdsourced benchmark of computational methods is a major issue in data science communities. Dedicated frameworks enabling fair benchmarking in a unified environment are yet to be developed. Here we int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::287fed9e44edcb7c8a72eb288651b53d
https://hal.science/hal-03374222v4/document
https://hal.science/hal-03374222v4/document
Autor:
Patrick Panciatici, Antoine Marot, Benjamin Donnot, Zhengying Liu, Marc Schoenauer, Isabelle Guyon, Balthazar Donon
Publikováno v:
Neurocomputing. 416:316-327
Using neural network modeling, we address the problem of system identification for continuous multivariate systems, whose structures vary around an operating point. Structural changes in the system are of combinatorial nature, and some of them may be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9dbe2e282ee1886d760580eafb5f0f6
https://doi.org/10.1016/j.neucom.2019.12.135
https://doi.org/10.1016/j.neucom.2019.12.135
Autor:
Zhengying Liu, Zhen Xu, Wei-Wei Tu, Sergio Escalera, Adrien Pavao, Meysam Madadi, Julio C. S. Jacques Junior, Sebastien Treguer, Isabelle Guyon
Publikováno v:
Pattern Recognition Letters. 135:196-203
We present the results of recent challenges in Automated Computer Vision (AutoCV, renamed here for clarity AutoCV1 and AutoCV2, 2019), which are part of a series of challenge on Automated Deep Learning (AutoDL). These two competitions aim at searchin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae0e6954a68114173e0f360669d0129
https://doi.org/10.1016/j.patrec.2020.04.030
https://doi.org/10.1016/j.patrec.2020.04.030