المؤلفون: Cyril Touchard, Jérôme Cartailler, Charlotte Levé, José Serrano, David Sabbagh, Elsa Manquat, Jona Joachim, Joaquim Mateo, Etienne Gayat, Denis Engemann, Fabrice Vallée

المصدر: Frontiers in Aging Neuroscience, Vol 12 (2020)

مصطلحات موضوعية: EEG signal, general anesthesia (GA), brain age, alpha band power, cognitive decline and dementia, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2020.593320/full; https://doaj.org/toc/1663-4365

URL الوصول: https://doaj.org/article/c869986cf1a944fea4af67b27572f9f0

المؤلفون: Danilo Bzdok, Denis Engemann, Bertrand Thirion

المصدر: Patterns, Vol 1, Iss 8, Pp 100119- (2020)

مصطلحات موضوعية: explainable AI, scientific discovery, data science, variable importance, reproducibility, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666389920301604; https://doaj.org/toc/2666-3899

URL الوصول: https://doaj.org/article/87bcb437e5c148e1bfc7f741917f22d0

المؤلفون: Mathis Jording, Denis Engemann, Hannah Eckert, Gary Bente, Kai Vogeley

المصدر: Frontiers in Human Neuroscience, Vol 13 (2019)

مصطلحات موضوعية: social gaze, Bayesian multilevel models, ostension, eye contact, communicative intention, gaze cueing, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fnhum.2019.00442/full; https://doaj.org/toc/1662-5161

URL الوصول: https://doaj.org/article/e8cfb4452cfa4fed81f916bef48193fc

المؤلفون: Apolline Mellot, Antoine Collas, Pedro L. C. Rodrigues, Denis Engemann, Alexandre Gramfort

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::836238ee70d2f0bffaeacbef1ce0f1b9
https://doi.org/10.1101/2023.04.27.538550

المؤلفون: Jean-­Rémi King, Laura Gwilliams, Chris Holdgraf, Jona Sassenhagen, Alexandre Barachant, Denis Engemann, Eric Larson, Alexandre Gramfort

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d264ce874181625972dc731816817be1
https://doi.org/10.7551/mitpress/11442.003.0076

المؤلفون: Lorenz Esch, Christoph Dinh, Eric Larson, Denis Engemann, Mainak Jas, Sheraz Khan, Alexandre Gramfort, Matti S. Hämäläinen

المصدر: Magnetoencephalography ISBN: 9783319626574

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::50e8da4dbf26f661e27189a50f77bec6
https://doi.org/10.1007/978-3-319-62657-4_59-1

المؤلفون: Banville, Hubert

المساهمون: Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris-Saclay, Alexandre Gramfort, Denis Engemann, STAR, ABES

المصدر: Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG005⟩

مصطلحات موضوعية: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Self-supervised learning, Apprentissage profond, Apprentissage auto-supervisé, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Deep learning, Electroencephalography, Neuroimaging, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Representation learning, Neuroimagerie, Neurotechnologie portable, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Apprentissage de représentations, Électroencéphalographie, Wearable neurotechnology

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b3d0243469731fa3bb2b4a95ab79cd76
https://theses.hal.science/tel-03602771/document

المؤلفون: Sabbagh, David

المساهمون: Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris-Saclay, Alexandre Gramfort, Denis Engemann, Étienne Gayat

المصدر: Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG101⟩

مصطلحات موضوعية: MEG, Riemannian manifold, Apprentissage statistique, [SCCO.NEUR]Cognitive science/Neuroscience, Neuroimaging, Biomarker, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Machine Learning, Biomarqueur, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Variétés riemanniennes, EEG, Imagerie cérébrale

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od_______165::a6de05cbbeb15858ef4bf6552f7ae6a3
https://theses.hal.science/tel-03625911/document