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48 résultats

keyword_s : Machine learning

	Pour les 48 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Artificial intelligence control applied to drag reduction of the fluidic pinball Guy y Cornejo Maceda , Bernd R Noack , François Lusseyran , Nan Deng , Luc Pastur , et al. PAMM, 2019, 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 19 (1), pp.e201900268. ⟨10.1002/pamm.201900268⟩ Article dans une revue hal-02398649v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Semantic coding in the occipital cortex of early blind individuals Sami Abboud , Denis Engemann , Laurent Cohen 2019 Pré-publication, Document de travail hal-02018272v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction Noëlie Cherrier , Michael Mayo , Jean-Philippe Poli , Maxime Defurne , Franck Sabatié 23rd International Conference, Discovery Science 2020, Oct 2020, Thessaloniki, Greece. pp.386-402, ⟨10.1007/978-3-030-61527-7_26⟩ Communication dans un congrès cea-04564475v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Embedded Feature Construction in Fuzzy Decision Tree Induction for High Energy Physics Classification Noelie Cherrier , Jean-Philippe Poli , Maxime Defurne , Franck Sabatie 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct 2020, Toronto, Canada. pp.615-622, ⟨10.1109/SMC42975.2020.9283103⟩ Communication dans un congrès cea-04564515v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Roadmap for HEP Software and Computing R&D for the 2020s Johannes Albrecht , Antonio Augusto Alves , Guilherme Amadio , Giuseppe Andronico , Nguyen Anh-Ky , et al. Computing and Software for Big Science, 2019, 3 (1), pp.7. ⟨10.1007/s41781-018-0018-8⟩ Article dans une revue hal-02080720v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		pyts: A Python Package for Time Series Classification Johann Faouzi , Hicham Janati Journal of Machine Learning Research, 2020, 21, pp.1 - 6 Article dans une revue hal-02883389v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Towards Algorithmic Analytics for Large-scale Datasets Danilo Bzdok , Thomas E. Nichols , Stephen Smith Nature Machine Intelligence, 2019, ⟨10.1038/s42256-019-0069-5⟩ Article dans une revue hal-02178410v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models Edouard Duchesnay Machine Learning [stat.ML]. Université Paris-Saclay, FRA., 2020 HDR tel-03408786v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Predictive models avoid excessive reductionism in cognitive neuroimaging Gaël Varoquaux , Russell Poldrack Current Opinion in Neurobiology, In press, 55, ⟨10.1016/j.conb.2018.11.002⟩ Article dans une revue hal-01856412v4	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Optimization method for ultrasonic array imaging of defects in complex materials with unknown elastic properties Corentin Ménard , Sebastien Robert , Dominique Lesselier e-Forum Acusticum 2020, Dec 2020, Lyon, France. ⟨10.48465/fa.2020.1038⟩ Communication dans un congrès hal-03109440v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach Elodie Martinez , Thomas Gorgues , Matthieu Lengaigne , Clément Fontana , Raphaëlle Sauzède , et al. Frontiers in Marine Science, 2020, 7, ⟨10.3389/fmars.2020.00464⟩ Article dans une revue hal-02941302v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Dynamics of stochastic gradient descent for two-layer neural networks in the teacher–student setup Sebastian Goldt , Madhu S Advani , Andrew M Saxe , Florent Krzakala , Lenka Zdeborová Journal of Statistical Mechanics: Theory and Experiment, 2020, 2020 (12), pp.124010. ⟨10.1088/1742-5468/abc61e⟩ Article dans une revue hal-03289916v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Prise en compte du contexte inter-phrastique pour l'extraction d'événements supervisée Dorian Kodelja Bonan Machine Learning [stat.ML]. Université Paris-Saclay, 2020. Français. ⟨NNT : 2020UPASS005⟩ Thèse tel-02886672v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Binning unassembled short reads based on $k$-mer abundance covariance using sparse coding Olexiy Kyrgyzov , Vincent Prost , Stéphane Gazut , Bruno Farcy , Thomas Brüls GigaScience, 2020, 9 (4), pp.1-13. ⟨10.1093/gigascience/giaa028⟩ Article dans une revue cea-04252039v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Comprehensive Study of Deep Learning for Side-Channel Analysis Loïc Masure , Cécile Dumas , Emmanuel Prouff IACR Transactions on Cryptographic Hardware and Embedded Systems, 2019, 2020 (1), pp.348-375. ⟨10.13154/tches.v2020.i1.348-375⟩ Article dans une revue hal-02425261v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Predictive pattern classification can distinguish gender identity subtypes from behavior and brain imaging Benjamin Clemens , Birgit Derntl , Elke Smith , Jessica Junger , Josef Neulen , et al. Cerebral Cortex, 2020 Article dans une revue hal-02467344v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Meta-omics reveals genetic flexibility of diatom nitrogen transporters in response to environmental changes Greta Busseni , Fabio Rocha Jimenez Vieira , Alberto Amato , Eric Pelletier , Juan Pierella Karlusich , et al. Molecular Biology and Evolution, 2019, 36 (11), pp.2522-2535. ⟨10.1093/molbev/msz157⟩ Article dans une revue hal-02184019v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Adaptive Machine Learning Approach for Fault Prognostics based on Normal Conditions - Application to Shaft Bearings of Wind Turbine Koceila Abid , Moamar Sayed-Mouchaweh , Cornez Laurence 11th Annual Conference of the Prognostics and Health Management Society 2019, Prognostics and Health Management Society, Sep 2019, Scottsdale, United States. pp.838, ⟨10.36001/phmconf.2019.v11i1.838⟩ Communication dans un congrès hal-04562725v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Towards a better comprehension of deep learning for side-channel analysis Loïc Masure Cryptography and Security [cs.CR]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS443⟩ Thèse tel-03651269v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Anomaly-based network intrusion detection using machine learning Maxime Labonne Cryptography and Security [cs.CR]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAS011⟩ Thèse tel-02988296v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Saving energy by anticipating hot water production: identification of key points for an efficient statistical model integration Yvan Denis , Frédéric Suard , Aurore Lomet , David Chèze AI EDAM, 2019, 33 (02), pp.138-147. ⟨10.1017/S0890060419000143⟩ Article dans une revue cea-02571139v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Mean-field methods and algorithmic perspectives for high-dimensional machine learning Benjamin Aubin Disordered Systems and Neural Networks [cond-mat.dis-nn]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASP083⟩ Thèse tel-03125117v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Combining machine learning and reference-free transcriptome analysis for the identification of prostate cancer signatures Thi Ngoc Ha Nguyen Bioinformatics [q-bio.QM]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASL069⟩ Thèse tel-03139949v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Sparse non-negative matrix factorization for retrieving genomes across metagenomes Vincent Prost , Stéphane Gazut , Thomas Brüls SimBig 2019 - 6th International Conference on Information Management and Big Data, Aug 2019, Lima, Peru. pp.97-105, ⟨10.1007/978-3-030-46140-9_10⟩ Communication dans un congrès hal-04415393v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model Julien Brajard , Alberto Carrassi , Marc Bocquet , Laurent Bertino Journal of computational science, 2020, 44, pp.101171. ⟨10.1016/j.jocs.2020.101171⟩ Article dans une revue hal-03147335v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Corrigendum: Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach Elodie Martinez , Thomas Gorgues , Matthieu Lengaigne , Clement Fontana , Raphaëlle Sauzède , et al. Frontiers in Marine Science, 2020, 7, ⟨10.3389/fmars.2020.618249⟩ Article dans une revue hal-03145846v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems Théo Saillant , Jean-Christophe Weill , Mathilde Mougeot Lecture Notes in Computer Science, 2020, High Performance Computing 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings, 12151, pp.63-82. ⟨10.1007/978-3-030-50743-5_4⟩ Article dans une revue hal-04553110v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Contributions to data confidentiality in machine learning by means of homomorphic encryption Martin Zuber Neural and Evolutionary Computing [cs.NE]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASG048⟩ Thèse tel-03105524v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Thresholds of descending algorithms in inference problems Stefano Sarao Mannelli , Lenka Zdeborová Journal of Statistical Mechanics: Theory and Experiment, 2020, 2020 (3), pp.034004. ⟨10.1088/1742-5468/ab7123⟩ Article dans une revue cea-04539111v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal Stanislas Chambon , Valentin Thorey , Pierrick J. Arnal , Emmanuel Jean Marie Mignot , Alexandre Gramfort Journal of Neuroscience Methods, 2019, 321, pp.64-78. ⟨10.1016/j.jneumeth.2019.03.017⟩ Article dans une revue hal-02121090v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Artificial intelligence control applied to drag reduction of the fluidic pinball

Semantic coding in the occipital cortex of early blind individuals

Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction

Embedded Feature Construction in Fuzzy Decision Tree Induction for High Energy Physics Classification

A Roadmap for HEP Software and Computing R&D for the 2020s

pyts: A Python Package for Time Series Classification

Towards Algorithmic Analytics for Large-scale Datasets

Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models

Predictive models avoid excessive reductionism in cognitive neuroimaging

Optimization method for ultrasonic array imaging of defects in complex materials with unknown elastic properties

Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

Dynamics of stochastic gradient descent for two-layer neural networks in the teacher–student setup

Prise en compte du contexte inter-phrastique pour l'extraction d'événements supervisée

Binning unassembled short reads based on $k$-mer abundance covariance using sparse coding

A Comprehensive Study of Deep Learning for Side-Channel Analysis

Predictive pattern classification can distinguish gender identity subtypes from behavior and brain imaging

Meta-omics reveals genetic flexibility of diatom nitrogen transporters in response to environmental changes

Adaptive Machine Learning Approach for Fault Prognostics based on Normal Conditions - Application to Shaft Bearings of Wind Turbine

Towards a better comprehension of deep learning for side-channel analysis

Anomaly-based network intrusion detection using machine learning

Saving energy by anticipating hot water production: identification of key points for an efficient statistical model integration

Mean-field methods and algorithmic perspectives for high-dimensional machine learning

Combining machine learning and reference-free transcriptome analysis for the identification of prostate cancer signatures

Sparse non-negative matrix factorization for retrieving genomes across metagenomes

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

Corrigendum: Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems

Contributions to data confidentiality in machine learning by means of homomorphic encryption

Thresholds of descending algorithms in inference problems

DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal