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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.

X. Wei, A. Faisal, M. Grosse-Wentrup, A. Gramfort, S. Chevallier, V. Jayaram, C. Jeunet, S. Bakas, S. Ludwig, K. Barmpas, M. Bahri, Y. Panagakis, N. Laskaris, D. Adamos, S. Zafeiriou, W. Duong, S. Gordon, V. Lawhern, M. Sliwowski, V. Rouanne, and P. Tempczyk. CoRR, (2022)

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Alexandre Gramfort

Alexandre Darmoise

Alexandre Varnek

Alexandre Martins

Alexandre Alexeev

Other publications of authors with the same name

On the Consistency of Ordinal Regression Methods.F. Pedregosa, F. Bach, and A. Gramfort. J. Mach. Learn. Res., (2017)Dual Extrapolation for Sparse Generalized Linear Models.M. Massias, S. Vaiter, A. Gramfort, and J. Salmon. CoRR, (2019)A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning.P. Ablin, D. Fagot, H. Wendt, A. Gramfort, and C. Févotte. ICASSP, page 700-704. IEEE, (2019)Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset.L. Power, C. Allain, T. Moreau, A. Gramfort, and T. Bardouille. NeuroImage, (2023)mvlearn: Multiview Machine Learning in Python.R. Perry, G. Mischler, R. Guo, T. Lee, A. Chang, A. Koul, C. Franz, H. Richard, I. Carmichael, P. Ablin and 2 other author(s). J. Mach. Learn. Res., (2021)FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels.G. Staerman, C. Allain, A. Gramfort, and T. Moreau. CoRR, (2022)L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference.J. Linhart, A. Gramfort, and P. Rodrigues. CoRR, (2023)Disentangling syntax and semantics in the brain with deep networks.C. Caucheteux, A. Gramfort, and J. King. ICML, volume 139 of Proceedings of Machine Learning Research, page 1336-1348. PMLR, (2021)DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals.C. Allain, A. Gramfort, and T. Moreau. ICLR, OpenReview.net, (2022)CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals.C. Rommel, T. Moreau, J. Paillard, and A. Gramfort. ICLR, OpenReview.net, (2022)

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Disambiguation of "Gramfort, Alexandre"

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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.

Please choose a person to relate this publication to

Alexandre Gramfort

Alexandre Darmoise

Alexandre Varnek

Alexandre Martins

Alexandre Alexeev

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gramfort, Alexandre"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.

Please choose a person to relate this publication to

Alexandre Gramfort

Alexandre Darmoise

Alexandre Varnek

Alexandre Martins

Alexandre Alexeev

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.