Denis A. Engemann

28 papers A* 4Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aggregate Models, Not Explanations: Improving Feature Importance Estimation. CoRR Joseph Paillard, Angel David Reyero Lobo, Denis A. Engemann, Bertrand Thirion
2025	J	`jnl`	GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals. Patterns Joseph Paillard, Jörg F. Hipp, Denis A. Engemann
2025	—	`conf`	Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction. IPMI (2) Joseph Paillard, Antoine Collas, Denis A. Engemann, Bertrand Thirion
2025	J	`jnl`	Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction. CoRR Joseph Paillard, Antoine Collas, Denis A. Engemann, Bertrand Thirion
2024	A*	`conf`	Geodesic Optimization for Predictive Shift Adaptation on EEG data. NeurIPS Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
2024	J	`jnl`	Geodesic Optimization for Predictive Shift Adaptation on EEG data. CoRR Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
2024	J	`jnl`	Measuring Variable Importance in Individual Treatment Effect Estimation with High Dimensional Data. CoRR Joseph Paillard, Vitaliy Kolodyazhniy, Bertrand Thirion, Denis A. Engemann
2024	—	`conf`	Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. EUSIPCO Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort
2024	J	`jnl`	Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. CoRR Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort
2024	A*	`conf`	Variable Importance in High-Dimensional Settings Requires Grouping. AAAI Ahmad Chamma, Bertrand Thirion, Denis A. Engemann
2023	J	`jnl`	A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility. Patterns Robert J. Jirsaraie, Aaron J. Gorelik, Martins M. Gatavins, Denis A. Engemann, Ryan Bogdan, Deanna M. Barch, Aristeidis Sotiras
2023	A*	`conf`	Statistically Valid Variable Importance Assessment through Conditional Permutations. NeurIPS Ahmad Chamma, Denis A. Engemann, Bertrand Thirion
2023	J	`jnl`	Statistically Valid Variable Importance Assessment through Conditional Permutations. CoRR Ahmad Chamma, Denis A. Engemann, Bertrand Thirion
2023	J	`jnl`	Variable Importance in High-Dimensional Settings Requires Grouping. CoRR Ahmad Chamma, Bertrand Thirion, Denis A. Engemann
2022	J	`jnl`	A reusable benchmark of brain-age prediction from M/EEG resting-state signals. NeuroImage Denis A. Engemann, Apolline Mellot, Richard Höchenberger, Hubert J. Banville, David Sabbagh, Lukas Gemein, Tonio Ball, Alexandre Gramfort
2021	—	`conf`	Learning with self-supervision on EEG data. BCI Alexandre Gramfort, Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis A. Engemann
2020	J	`jnl`	Inference and Prediction Diverge in Biomedicine. Patterns Danilo Bzdok, Denis A. Engemann, Bertrand Thirion
2020	J	`jnl`	Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. NeuroImage David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann
2019	A*	`conf`	Manifold-regression to predict from MEG/EEG brain signals without source modeling. NeurIPS David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann
2019	J	`jnl`	Manifold-regression to predict from MEG/EEG brain signals without source modeling. CoRR David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann
2017	J	`jnl`	Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines. NeuroImage Gaël Varoquaux, Pradeep Reddy Raamana, Denis A. Engemann, Andrés Hoyos Idrobo, Yannick Schwartz, Bertrand Thirion
2017	J	`jnl`	Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
2016	—	`conf`	Automated rejection and repair of bad trials in MEG/EEG. PRNI Mainak Jas, Denis A. Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort
2015	J	`jnl`	Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals. NeuroImage Denis A. Engemann, Alexandre Gramfort
2015	J	`jnl`	Co-evolutionary behaviour selection in adaptive social networks predicts clustered marginalization of minorities. CoRR Carl-Friedrich Schleussner, Jonathan F. Donges, Denis A. Engemann, Anders Levermann
2015	—	`conf`	Mind the Noise Covariance When Localizing Brain Sources with M/EEG. PRNI Denis A. Engemann, Daniel Strohmeier, Eric Larson, Alexandre Gramfort
2015	—	`—`	Neuromagnetic Decomposition of Social Interaction. Denis A. Engemann
2014	J	`jnl`	MNE software for processing MEG and EEG data. NeuroImage Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S. Hämäläinen