Denis A. Engemann

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Venues

University of Cologne (PHD)

Education History

University of Cologne

PHD

Publications

Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. CoRR (2024)
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
Geodesic Optimization for Predictive Shift Adaptation on EEG data. CoRR (2024)
Ahmad Chamma, Bertrand Thirion, Denis A. Engemann
Variable Importance in High-Dimensional Settings Requires Grouping. AAAI (2024)
Ahmad Chamma, Denis A. Engemann, Bertrand Thirion
Statistically Valid Variable Importance Assessment through Conditional Permutations. CoRR (2023)
Ahmad Chamma, Bertrand Thirion, Denis A. Engemann
Variable Importance in High-Dimensional Settings Requires Grouping. CoRR (2023)
Robert J. Jirsaraie, Aaron J. Gorelik, Martins M. Gatavins, Denis A. Engemann, Ryan Bogdan, Deanna M. Barch, Aristeidis Sotiras
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility. Patterns 4 (4) (2023)
Ahmad Chamma, Denis A. Engemann, Bertrand Thirion
Statistically Valid Variable Importance Assessment through Conditional Permutations. NeurIPS (2023)
Denis A. Engemann, Apolline Mellot, Richard Höchenberger, Hubert J. Banville, David Sabbagh, Lukas Gemein, Tonio Ball, Alexandre Gramfort
A reusable benchmark of brain-age prediction from M/EEG resting-state signals. NeuroImage 262 (2022)
Alexandre Gramfort, Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis A. Engemann
Learning with self-supervision on EEG data. BCI (2021)
David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. NeuroImage 222 (2020)
Danilo Bzdok, Denis A. Engemann, Bertrand Thirion
Inference and Prediction Diverge in Biomedicine. Patterns 1 (8) (2020)
David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann
Manifold-regression to predict from MEG/EEG brain signals without source modeling. NeurIPS (2019)
David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann
Manifold-regression to predict from MEG/EEG brain signals without source modeling. CoRR (2019)
Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage 159 (2017)
Gaël Varoquaux, Pradeep Reddy Raamana, Denis A. Engemann, Andrés Hoyos Idrobo, Yannick Schwartz, Bertrand Thirion
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines. NeuroImage 145 (2017)
Mainak Jas, Denis A. Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort
Automated rejection and repair of bad trials in MEG/EEG. PRNI (2016)
Denis A. Engemann, Daniel Strohmeier, Eric Larson, Alexandre Gramfort
Mind the Noise Covariance When Localizing Brain Sources with M/EEG. PRNI (2015)
Denis A. Engemann, Alexandre Gramfort
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals. NeuroImage 108 (2015)
Carl-Friedrich Schleussner, Jonathan F. Donges, Denis A. Engemann, Anders Levermann
Co-evolutionary behaviour selection in adaptive social networks predicts clustered marginalization of minorities. CoRR (2015)
Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S. Hämäläinen
MNE software for processing MEG and EEG data. NeuroImage 86 (2014)

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Publication Activity (10 Years)

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Denis A. Engemann