Zobrazeno 1 - 10
of 1 093
pro vyhledávání: '"Mekki-Berrada A"'
Autor:
Andre K. Y. Low, Flore Mekki-Berrada, Abhishek Gupta, Aleksandr Ostudin, Jiaxun Xie, Eleonore Vissol-Gaudin, Yee-Fun Lim, Qianxiao Li, Yew Soon Ong, Saif A. Khan, Kedar Hippalgaonkar
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract The development of automated high-throughput experimental platforms has enabled fast sampling of high-dimensional decision spaces. To reach target properties efficiently, these platforms are increasingly paired with intelligent experimental
Externí odkaz:
https://doaj.org/article/0fb91db8811d4d46a6d55d2c7d7fdeed
Autor:
Chartrand, Louise
Publikováno v:
Anthropologica, 2014 Jan 01. 56(1), 247-248.
Externí odkaz:
https://www.jstor.org/stable/24469659
Autor:
Liang, Qiaohao, Gongora, Aldair E., Ren, Zekun, Tiihonen, Armi, Liu, Zhe, Sun, Shijing, Deneault, James R., Bash, Daniil, Mekki-Berrada, Flore, Khan, Saif A., Hippalgaonkar, Kedar, Maruyama, Benji, Brown, Keith A., Fisher III, John, Buonassisi, Tonio
In the field of machine learning (ML) for materials optimization, active learning algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous and high-throughput experimentation systems. However, very few studies have e
Externí odkaz:
http://arxiv.org/abs/2106.01309
Akademický článek
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Autor:
Philipp Thölke, Yorguin-Jose Mantilla-Ramos, Hamza Abdelhedi, Charlotte Maschke, Arthur Dehgan, Yann Harel, Anirudha Kemtur, Loubna Mekki Berrada, Myriam Sahraoui, Tammy Young, Antoine Bellemare Pépin, Clara El Khantour, Mathieu Landry, Annalisa Pascarella, Vanessa Hadid, Etienne Combrisson, Jordan O’Byrne, Karim Jerbi
Publikováno v:
NeuroImage, Vol 277, Iss , Pp 120253- (2023)
Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbal
Externí odkaz:
https://doaj.org/article/5a4ec21c2d304490b2ba04066277b185
Akademický článek
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Autor:
Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract Bayesian optimization (BO) has been leveraged for guiding autonomous and high-throughput experiments in materials science. However, few have evaluated the efficiency of BO across a broad range of experimental materials domains. In this work,
Externí odkaz:
https://doaj.org/article/bfc6d1e9f14b4b8bbc093f32c3360b8c
Autor:
Srour, Hawraa, Devers, Elodie, Mekki-Berrada, Adrien, Toufaily, Joumana, Hamieh, Tayssir, Batiot-Dupeyrat, Catherine, Pinard, Ludovic
Publikováno v:
In Fuel 15 December 2021 306
Autor:
Petrazzuoli, Vittorio, Rolland, Matthieu, Mekki-Berrada, Adrien, Said-Aizpuru, Olivier, Schuurman, Yves
Publikováno v:
In Chemical Engineering Science 15 February 2021 231
Autor:
Mekki‐Berrada, Flore1 (AUTHOR), Xie, Jiaxun1 (AUTHOR), Khan, Saif A.1 (AUTHOR) saifkhan@nus.edu.sg
Publikováno v:
Chemistry - Methods. May2022, Vol. 2 Issue 5, p1-10. 10p.