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	Pour les 52 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

		Identifying seasonal patterns of phosphorus storm dynamics with dynamic time warping Rémi Dupas , Romain Tavenard , Ophélie Fovet , Nicolas Gilliet , Catherine Grimaldi , et al. Water Resources Research, 2015, 51 (11), pp.8868-8882. ⟨10.1002/2015WR017338⟩ Article dans une revue halshs-01228397v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network Wassim Swaileh , Florent Imbert , Yann Soullard , Romain Tavenard , Eric Anquetil International Journal on Document Analysis and Recognition, 2023, ⟨10.1007/s10032-023-00430-1⟩ Article dans une revue hal-04076399v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers Noé Zufferey , Mathias Humbert , Romain Tavenard , Kévin Huguenin USENIX Security Symposium (USENIX Security), Aug 2023, Anaheim, CA, United States. pp.18 Communication dans un congrès hal-04003119v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images Bharath Bhushan Damodaran , Nicolas Courty , Romain Tavenard IGARSS 2017 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Houston, United States. pp.1-4 Communication dans un congrès hal-01620604v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Time-Sensitive Topic Models for Action Recognition in Videos Romain Tavenard , Rémi Emonet , Jean-Marc Odobez ICIP - International Conference on Image Processing, Sep 2013, Melbourne, Australia Communication dans un congrès hal-00872048v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Data Augmentation for Time Series Classification using Convolutional Neural Networks Arthur Le Guennec , Simon Malinowski , Romain Tavenard ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2016, Riva Del Garda, Italy Communication dans un congrès halshs-01357973v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Early Classification for Agricultural Monitoring from Satellite Time Series Marc Russwurm , Romain Tavenard , Sébastien Lefèvre , Marco Körner AI for Social Good Workshop at International Conference on Machine Learning (ICML), 2019, Long Beach, United States Communication dans un congrès hal-02343851v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistes Yichang Wang , Rémi Emonet , Elisa Fromont , Simon Malinowski , Etienne Menager , et al. CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. pp.1-2 Communication dans un congrès hal-02268004v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment François Painblanc , Laetitia Chapel , Nicolas Courty , Chloé Friguet , Charlotte Pelletier , et al. ECML PKDD 2023, Sep 2023, Torino, Italy Communication dans un congrès hal-04189149v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Sensor Networks for Ambient Intelligence Eric Pauwels , Albert Ali Salah , Romain Tavenard IEEE Workshop on Multimedia Signal Processing, Oct 2007, Chania, Greece. ⟨10.1109/MMSP.2007.4412806⟩ Communication dans un congrès halshs-01138508v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Efficient Temporal Kernels between Feature Sets for Time Series Classification Romain Tavenard , Simon Malinowski , Laetitia Chapel , Adeline Bailly , Heider Sanchez , et al. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Sep 2017, Skopje, Macedonia Communication dans un congrès halshs-01561461v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data Pierre Gloaguen , Laetitia Chapel , Chloé Friguet , Romain Tavenard Machine Learning, 2021, Special Issue on Machine Learning for Earth Observation Data, 112 (6), pp.1975-2001. ⟨10.1007/s10994-021-06004-8⟩ Article dans une revue hal-02617575v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen Alexey Serdyuk , Fabian Kreß , Micha Hiegle , Tanja Harbaum , Jürgen Becker , et al. IEEE 9th World Forum on Internet of Things, Oct 2023, Aveiro, Portugal Communication dans un congrès hal-04358219v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Improving the Efficiency of Traditional DTW Accelerators Romain Tavenard , Laurent Amsaleg Knowledge and Information Systems (KAIS), 2015, 42 (1), pp.215-243. ⟨10.1007/s10115-013-0698-7⟩ Article dans une revue hal-00862176v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Searching in one billion vectors: re-rank with source coding Hervé Jégou , Romain Tavenard , Matthijs Douze , Laurent Amsaleg ICASSP 2011 - International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.861-864, ⟨10.1109/ICASSP.2011.5946540⟩ Communication dans un congrès inria-00566883v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		End-to-end learned early classification of time series for in-season crop type mapping Marc Rußwurm , Nicolas Courty , Rémi Emonet , Sébastien Lefèvre , Devis Tuia , et al. ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 196, pp.445-456. ⟨10.1016/j.isprsjprs.2022.12.016⟩ Article dans une revue hal-04023073v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Learning DTW-Preserving Shapelets Arnaud Lods , Simon Malinowski , Romain Tavenard , Laurent Amsaleg IDA 2017 - 16th International Symposium on Intelligent Data Analysis, Oct 2017, London, United Kingdom. pp.198-209, ⟨10.1007/978-3-319-68765-0_17⟩ Communication dans un congrès hal-01565207v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		End-to-end Learning for Early Classification of Time Series Marc Russwurm , Sébastien Lefevre , Nicolas Courty , Rémi Emonet , Marco Körner , et al. 2019 Pré-publication, Document de travail hal-02174314v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Tslearn, A Machine Learning Toolkit for Time Series Data Romain Tavenard , Johann Faouzi , Gilles Vandewiele , Felix Divo , Guillaume Androz , et al. Journal of Machine Learning Research, 2020, 21, pp.1 - 6 Article dans une revue hal-02883390v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		1d-SAX: A Novel Symbolic Representation for Time Series Simon Malinowski , Thomas Guyet , René Quiniou , Romain Tavenard International Symposium on Intelligent Data Analysis, 2013, United Kingdom. pp.273-284, ⟨10.1007/978-3-642-41398-8_24⟩ Communication dans un congrès halshs-00912512v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Vectorisation des processus d'appariement document-requête Vincent Claveau , Romain Tavenard , Laurent Amsaleg 7e conférence en recherche d'informations et applications, CORIA'10, Mar 2010, Sousse, Tunisie Communication dans un congrès inria-00561797v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data Albert Ali Salah , Eric Pauwels , Romain Tavenard , Theo Gevers Sensors, 2010, 10 (8), pp.7496-7513. ⟨10.3390/s100807496⟩ Article dans une revue halshs-01138500v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Classification of MODIS Time Series with Dense Bag-of-Temporal-SIFT-Words: Application to Cropland Mapping in the Brazilian Amazon Adeline Bailly , Damien Arvor , Laetitia Chapel , Romain Tavenard 2016 Pré-publication, Document de travail hal-01254455v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Mapping Learning Alban Thomas , Thomas Corpetti , Samuel S. Corgne , Laurent Garnier , Romain Tavenard , et al. JDEVs, les Journées du DEVeloppement logiciel, Jul 2017, Marseille, France. 2017 Poster de conférence hal-01565586v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Advanced Analytics and Learning on Temporal Data Georgiana Ifrim , Romain Tavenard , Anthony Bagnall , Patrick Schaefer , Simon Malinowski , et al. AALTD 2023 - 8th Workshop on Advanced Analytics and Learning on Temporal Data, 14343, Springer Nature Switzerland, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-49896-1⟩ Proceedings/Recueil des communications hal-04383684v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Domain adaptation for pen trajectory reconstruction from kinematic sensors Florent Imbert , Yann Soullard , Romain Tavenard , Eric Anquetil SIFED 2023 – Symposium International Francophone sur l’Ecrit et le Document, Jun 2023, Paris, France Poster de conférence hal-04125711v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Sliced Gromov-Wasserstein Titouan Vayer , Rémi Flamary , Romain Tavenard , Laetitia Chapel , Nicolas Courty NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02174309v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Nonlinear Time-Series Adaptation for Land Cover Classification Adeline Bailly , Laetitia Chapel , Romain Tavenard , Gustau Camps-Valls IEEE Geoscience and Remote Sensing Letters, 2017, ⟨10.1109/LGRS.2017.2686639⟩ Article dans une revue halshs-01515283v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Dynamic Time Warping Under Limited Warping Path Length Zheng Zhang , Romain Tavenard , Adeline Bailly , Xiaotong Tang , Ping Tang , et al. Information Sciences, 2017, 393, pp.91 - 107. ⟨10.1016/j.ins.2017.02.018⟩ Article dans une revue hal-01470554v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Hybrid Approach to Time Series Classification with Shapelets David Guijo-Rubio , Pedro A Gutiérrez , Romain Tavenard , Anthony Bagnall Intelligent Data Engineering and Automated Learning -- IDEAL, Nov 2019, Manchester, United Kingdom. pp.137-144, ⟨10.1007/978-3-030-33607-3_16⟩ Communication dans un congrès hal-02371422v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Identifying seasonal patterns of phosphorus storm dynamics with dynamic time warping

Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network

Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers

Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images

Time-Sensitive Topic Models for Action Recognition in Videos

Data Augmentation for Time Series Classification using Convolutional Neural Networks

Early Classification for Agricultural Monitoring from Satellite Time Series

Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistes

Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment

Sensor Networks for Ambient Intelligence

Efficient Temporal Kernels between Feature Sets for Time Series Classification

Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data

Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen

Improving the Efficiency of Traditional DTW Accelerators

Searching in one billion vectors: re-rank with source coding

End-to-end learned early classification of time series for in-season crop type mapping

Learning DTW-Preserving Shapelets

End-to-end Learning for Early Classification of Time Series

Tslearn, A Machine Learning Toolkit for Time Series Data

1d-SAX: A Novel Symbolic Representation for Time Series

Vectorisation des processus d'appariement document-requête

T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data

Classification of MODIS Time Series with Dense Bag-of-Temporal-SIFT-Words: Application to Cropland Mapping in the Brazilian Amazon

Mapping Learning

Advanced Analytics and Learning on Temporal Data

Domain adaptation for pen trajectory reconstruction from kinematic sensors

Sliced Gromov-Wasserstein

Nonlinear Time-Series Adaptation for Land Cover Classification

Dynamic Time Warping Under Limited Warping Path Length

A Hybrid Approach to Time Series Classification with Shapelets