This page is automatically generated from my HAL record. It is likely that my Google Scholar Profile is more up-to-date than the following list.
Journals
[1] M. Rußwurm - N. Courty - R. Emonet - S. Lefèvre - D. Tuia - R. Tavenard. End-to-end learned early classification of time series for in-season crop type mapping. ISPRS Journal of Photogrammetry and Remote Sensing 2023.
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@article{ruwurm:hal-04023073,
TITLE = {{End-to-end learned early classification of time series for in-season crop type mapping}},
AUTHOR = {Ru{\ss}wurm, Marc and Courty, Nicolas and Emonet, R{\'e}mi and Lef{\`e}vre, S{\'e}bastien and Tuia, Devis and Tavenard, Romain},
URL = {https://hal.science/hal-04023073},
JOURNAL = {{ISPRS Journal of Photogrammetry and Remote Sensing}},
PUBLISHER = {{Elsevier}},
VOLUME = {196},
PAGES = {445-456},
YEAR = {2023},
MONTH = Feb,
DOI = {10.1016/j.isprsjprs.2022.12.016},
PDF = {https://hal.science/hal-04023073/file/1901.10681.pdf},
HAL_ID = {hal-04023073},
HAL_VERSION = {v1},
}
[2] W. Swaileh - F. Imbert - Y. Soullard - R. Tavenard - E. Anquetil. Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network. International Journal on Document Analysis and Recognition 2023.
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@article{swaileh:hal-04076399,
TITLE = {{Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network}},
AUTHOR = {Swaileh, Wassim and Imbert, Florent and Soullard, Yann and Tavenard, Romain and Anquetil, Eric},
URL = {https://inria.hal.science/hal-04076399},
JOURNAL = {{International Journal on Document Analysis and Recognition}},
PUBLISHER = {{Springer Verlag}},
YEAR = {2023},
MONTH = May,
DOI = {10.1007/s10032-023-00430-1},
KEYWORDS = {Online Handwriting ; Trajectory Reconstruction ; Digital Pen ; Temporal Convolutional Neural Network ; Inertial Measurement Units},
PDF = {https://inria.hal.science/hal-04076399v2/file/IJDAR_ICDAR_2023%20%286%29.pdf},
HAL_ID = {hal-04076399},
HAL_VERSION = {v2},
}
[3] T. Vayer - R. Tavenard - L. Chapel - N. Courty - R. Flamary - Y. Soullard. Time Series Alignment with Global Invariances. Transactions on Machine Learning Research Journal 2022.
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@article{vayer:hal-02473959,
TITLE = {{Time Series Alignment with Global Invariances}},
AUTHOR = {Vayer, Titouan and Tavenard, Romain and Chapel, Laetitia and Courty, Nicolas and Flamary, R{\'e}mi and Soullard, Yann},
URL = {https://hal.science/hal-02473959},
JOURNAL = {{Transactions on Machine Learning Research Journal}},
PUBLISHER = {{[Amherst Massachusetts]: OpenReview.net, 2022}},
YEAR = {2022},
MONTH = Oct,
PDF = {https://hal.science/hal-02473959/file/time_series_alignment_with_glo.pdf},
HAL_ID = {hal-02473959},
HAL_VERSION = {v1},
}
[4] R. Flamary - N. Courty - A. Gramfort - M. Zahdi Alaya - A. Boisbunon - S. Chambon - L. Chapel - A. Corenflos - K. Fatras - N. Fournier - L. Gautheron - N. T H Gayraud - H. Janati - A. Rakotomamonjy - I. Redko - A. Rolet - A. Schutz - V. Seguy - D. J Sutherland - R. Tavenard - A. Tong - T. Vayer. POT : Python Optimal Transport. Journal of Machine Learning Research 2021.
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@article{flamary:hal-03264013,
TITLE = {{POT : Python Optimal Transport}},
AUTHOR = {Flamary, R{\'e}mi and Courty, Nicolas and Gramfort, Alexandre and Alaya, Mokhtar Zahdi and Boisbunon, Aur{\'e}lie and Chambon, Stanislas and Chapel, Laetitia and Corenflos, Adrien and Fatras, Kilian and Fournier, Nemo and Gautheron, L{\'e}o and Gayraud, Nathalie T H and Janati, Hicham and Rakotomamonjy, Alain and Redko, Ievgen and Rolet, Antoine and Schutz, Antony and Seguy, Vivien and Sutherland, Danica J and Tavenard, Romain and Tong, Alexander and Vayer, Titouan},
URL = {https://hal.science/hal-03264013},
JOURNAL = {{Journal of Machine Learning Research}},
PUBLISHER = {{Microtome Publishing}},
YEAR = {2021},
MONTH = Apr,
KEYWORDS = {Optimal transport ; divergence ; optimization ; domain adaptation},
PDF = {https://hal.science/hal-03264013/file/20-451.pdf},
HAL_ID = {hal-03264013},
HAL_VERSION = {v1},
}
[5] P. Gloaguen - L. Chapel - C. Friguet - R. Tavenard. Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data. Machine Learning 2021.
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@article{gloaguen:hal-02617575,
TITLE = {{Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data}},
AUTHOR = {Gloaguen, Pierre and Chapel, Laetitia and Friguet, Chlo{\'e} and Tavenard, Romain},
URL = {https://hal.science/hal-02617575},
JOURNAL = {{Machine Learning}},
PUBLISHER = {{Springer Verlag}},
SERIES = {Special Issue on Machine Learning for Earth Observation Data},
VOLUME = {112},
NUMBER = {6},
PAGES = {1975-2001},
YEAR = {2021},
MONTH = Jul,
DOI = {10.1007/s10994-021-06004-8},
KEYWORDS = {Trajectory clustering ; Scalability ; Stochastic variational inference ; Hierarchical Dirichlet process ; AIS data ; Continuous time},
PDF = {https://hal.science/hal-02617575v3/file/00_main.pdf},
HAL_ID = {hal-02617575},
HAL_VERSION = {v3},
}
[6] T. Vayer - L. Chapel - R. Flamary - R. Tavenard - N. Courty. Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 2020.
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@article{vayer:hal-02971153,
TITLE = {{Fused Gromov-Wasserstein Distance for Structured Objects}},
AUTHOR = {Vayer, Titouan and Chapel, Laetitia and Flamary, R{\'e}mi and Tavenard, Romain and Courty, Nicolas},
URL = {https://hal.science/hal-02971153},
JOURNAL = {{Algorithms}},
PUBLISHER = {{MDPI}},
VOLUME = {13},
NUMBER = {9},
PAGES = {212},
YEAR = {2020},
MONTH = Sep,
DOI = {10.3390/a13090212},
KEYWORDS = {optimal transport ; GRAPHS and Structured objects ; Wasserstein and Gromov-Wasserstein distances},
PDF = {https://hal.science/hal-02971153/file/algorithms-13-00212-v2.pdf},
HAL_ID = {hal-02971153},
HAL_VERSION = {v1},
}
[7] R. Tavenard - J. Faouzi - G. Vandewiele - F. Divo - G. Androz - C. Holtz - M. Payne - R. Yurchak - M. Russwurm - K. Kolar - E. Woods. Tslearn, A Machine Learning Toolkit for Time Series Data. Journal of Machine Learning Research 2020.
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@article{tavenard:hal-02883390,
TITLE = {{Tslearn, A Machine Learning Toolkit for Time Series Data}},
AUTHOR = {Tavenard, Romain and Faouzi, Johann and Vandewiele, Gilles and Divo, Felix and Androz, Guillaume and Holtz, Chester and Payne, Marie and Yurchak, Roman and Russwurm, Marc and Kolar, Kushal and Woods, Eli},
URL = {https://inria.hal.science/hal-02883390},
JOURNAL = {{Journal of Machine Learning Research}},
PUBLISHER = {{Microtome Publishing}},
VOLUME = {21},
PAGES = {1 - 6},
YEAR = {2020},
KEYWORDS = {Clustering ; Time series ; Classification ; Data mining ; Pre-processing},
PDF = {https://inria.hal.science/hal-02883390/file/20-091.pdf},
HAL_ID = {hal-02883390},
HAL_VERSION = {v1},
}
[8] Z. Zhang - R. Tavenard - A. Bailly - X. Tang - P. Tang - T. Corpetti. Dynamic Time Warping Under Limited Warping Path Length. Information Sciences 2017.
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@article{zhang:hal-01470554,
TITLE = {{Dynamic Time Warping Under Limited Warping Path Length}},
AUTHOR = {Zhang, Zheng and Tavenard, Romain and Bailly, Adeline and Tang, Xiaotong and Tang, Ping and Corpetti, Thomas},
URL = {https://hal.science/hal-01470554},
JOURNAL = {{Information Sciences}},
PUBLISHER = {{Elsevier}},
VOLUME = {393},
PAGES = {91 - 107},
YEAR = {2017},
MONTH = Jul,
DOI = {10.1016/j.ins.2017.02.018},
KEYWORDS = {Dynamic Time Warping (DTW) ; Time series ; Distance measure ; Warping path ; Classification},
PDF = {https://hal.science/hal-01470554/file/LDTW_author_version.pdf},
HAL_ID = {hal-01470554},
HAL_VERSION = {v1},
}
[9] A. Bailly - L. Chapel - R. Tavenard - G. Camps-Valls. Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geoscience and Remote Sensing Letters 2017.
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@article{bailly:halshs-01515283,
TITLE = {{Nonlinear Time-Series Adaptation for Land Cover Classification}},
AUTHOR = {Bailly, Adeline and Chapel, Laetitia and Tavenard, Romain and Camps-Valls, Gustau},
URL = {https://shs.hal.science/halshs-01515283},
JOURNAL = {{IEEE Geoscience and Remote Sensing Letters}},
PUBLISHER = {{IEEE - Institute of Electrical and Electronics Engineers}},
YEAR = {2017},
DOI = {10.1109/LGRS.2017.2686639},
KEYWORDS = {Land cover classification ; time series ; domain adaptation ; manifold alignment ; kernel methods},
PDF = {https://shs.hal.science/halshs-01515283/file/final_version.pdf},
HAL_ID = {halshs-01515283},
HAL_VERSION = {v1},
}
[10] R. Tavenard - L. Amsaleg. Improving the Efficiency of Traditional DTW Accelerators. Knowledge and Information Systems (KAIS) 2015.
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@article{tavenard:hal-00862176,
TITLE = {{Improving the Efficiency of Traditional DTW Accelerators}},
AUTHOR = {Tavenard, Romain and Amsaleg, Laurent},
URL = {https://inria.hal.science/hal-00862176},
JOURNAL = {{Knowledge and Information Systems (KAIS)}},
PUBLISHER = {{Springer}},
VOLUME = {42},
NUMBER = {1},
PAGES = {215--243},
YEAR = {2015},
MONTH = Jan,
DOI = {10.1007/s10115-013-0698-7},
KEYWORDS = {Dynamic Time Warping ; Indexing Trees ; Upper Bounds ; Indexing ; Lower Bounds},
PDF = {https://inria.hal.science/hal-00862176/file/hal-00862176.pdf},
HAL_ID = {hal-00862176},
HAL_VERSION = {v1},
}
[11] R. Dupas - R. Tavenard - O. Fovet - N. Gilliet - C. Grimaldi - C. Gascuel. Identifying seasonal patterns of phosphorus storm dynamics with dynamic time warping. Water Resources Research 2015.
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@article{dupas:halshs-01228397,
TITLE = {{Identifying seasonal patterns of phosphorus storm dynamics with dynamic time warping}},
AUTHOR = {Dupas, R{\'e}mi and Tavenard, Romain and Fovet, Oph{\'e}lie and Gilliet, Nicolas and Grimaldi, Catherine and Gascuel, Chantal},
URL = {https://shs.hal.science/halshs-01228397},
JOURNAL = {{Water Resources Research}},
PUBLISHER = {{American Geophysical Union}},
VOLUME = {51},
NUMBER = {11},
PAGES = {8868--8882},
YEAR = {2015},
DOI = {10.1002/2015WR017338},
KEYWORDS = {dynamic time warping ; watershed ; storm events ; phosphorus ; time series analysis},
PDF = {https://shs.hal.science/halshs-01228397/file/article_WRR_accepte_avec_fig.pdf},
HAL_ID = {halshs-01228397},
HAL_VERSION = {v1},
}
[12] A. Aubert - R. Tavenard - R. Emonet - A. de Lavenne - S. Malinowski - T. Guyet - R. Quiniou - J. M. Odobez - P. Mérot - C. Gascuel. Clustering Flood Events from Water Quality Time-Series using Latent Dirichlet Allocation Model. Water Resources Research 2013.
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@article{aubert:halshs-00906292,
TITLE = {{Clustering Flood Events from Water Quality Time-Series using Latent Dirichlet Allocation Model}},
AUTHOR = {Aubert, Alice and Tavenard, Romain and Emonet, R{\'e}mi and de Lavenne, Alban and Malinowski, Simon and Guyet, Thomas and Quiniou, Ren{\'e} and Odobez, Jean-Marc and M{\'e}rot, Philippe and Gascuel, Chantal},
URL = {https://shs.hal.science/halshs-00906292},
JOURNAL = {{Water Resources Research}},
PUBLISHER = {{American Geophysical Union}},
VOLUME = {49},
NUMBER = {12},
PAGES = {8187--8199},
YEAR = {2013},
DOI = {10.1002/2013WR014086},
KEYWORDS = {temporal pattern extraction ; time series analysis ; probabilistic model ; flood events ; Water quality},
PDF = {https://shs.hal.science/halshs-00906292/file/aubert_wrr_final.pdf},
HAL_ID = {halshs-00906292},
HAL_VERSION = {v1},
}
[13] A. Ali Salah - E. Pauwels - R. Tavenard - T. Gevers. T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data. Sensors 2010.
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@article{salah:halshs-01138500,
TITLE = {{T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data}},
AUTHOR = {Salah, Albert Ali and Pauwels, Eric and Tavenard, Romain and Gevers, Theo},
URL = {https://shs.hal.science/halshs-01138500},
JOURNAL = {{Sensors}},
PUBLISHER = {{MDPI}},
VOLUME = {10},
NUMBER = {8},
PAGES = {7496-7513},
YEAR = {2010},
DOI = {10.3390/s100807496},
KEYWORDS = {MERL motion data ; Gaussian mixture model ; Lempel-Ziv ; T-patterns ; temporal pattern extraction ; sensor networks},
PDF = {https://shs.hal.science/halshs-01138500/file/sensors-10-07496.pdf},
HAL_ID = {halshs-01138500},
HAL_VERSION = {v1},
}
[14] R. Tavenard - L. Amsaleg - G. Gravier. Model-based similarity estimation of multidimensional temporal sequences. Annals of Telecommunications - annales des télécommunications 2009.
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@article{tavenard:inria-00567877,
TITLE = {{Model-based similarity estimation of multidimensional temporal sequences}},
AUTHOR = {Tavenard, Romain and Amsaleg, Laurent and Gravier, Guillaume},
URL = {https://inria.hal.science/inria-00567877},
JOURNAL = {{Annals of Telecommunications - annales des t{\'e}l{\'e}communications}},
PUBLISHER = {{Springer}},
VOLUME = {64},
NUMBER = {5},
PAGES = {381-390},
YEAR = {2009},
MONTH = Jun,
DOI = {10.1007/s12243-009-0091-4},
KEYWORDS = {Multidimensional feature sequences ; Support vector regression ; Temporal aspects ; Similarity estimation in a model space},
HAL_ID = {inria-00567877},
HAL_VERSION = {v1},
}
Conferences
[15] F. Painblanc - L. Chapel - N. Courty - C. Friguet - C. Pelletier - R. Tavenard. Adaptation de Domaines pour des Séries Temporelles par Transport Optimal et Alignement Temporel. 55ièmes Journées de Statistique 2024.
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@inproceedings{painblanc:hal-04644862,
TITLE = {{Domain Adaptation of Time Series through Optimal Transport and Temporal Alignment}},
AUTHOR = {Painblanc, Fran{\c c}ois and Chapel, La{\"e}titia and Courty, Nicolas and Friguet, Chlo{\'e} and Pelletier, Charlotte and Tavenard, Romain},
URL = {https://hal.science/hal-04644862},
BOOKTITLE = {{55i{\`e}mes Journ{\'e}es de Statistique}},
ADDRESS = {Bordeaux, France},
ORGANIZATION = {{SFdS}},
YEAR = {2024},
MONTH = May,
KEYWORDS = {domain adaptation ; time series ; optimal transport ; dynamic time warping ; adaptation de domaines ; s{\'e}ries temporelles ; Transport optimal ; dynamic time warping},
PDF = {https://hal.science/hal-04644862/file/JDS24_paper_Domain%20Adaptation%20of%20Time%20Series%20through%20Optimal.pdf},
HAL_ID = {hal-04644862},
HAL_VERSION = {v1},
}
[16] F. Imbert - R. Tavenard - Y. Soullard - E. Anquetil. Domain adaptation for handwriting trajectory reconstruction from IMU sensors. ICDAR 2024 Workshops, ADAPDA 2024.
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@inproceedings{imbert:hal-04605593,
TITLE = {{Domain adaptation for handwriting trajectory reconstruction from IMU sensors}},
AUTHOR = {Imbert, Florent and Tavenard, Romain and Soullard, Yann and Anquetil, Eric},
URL = {https://hal.science/hal-04605593},
BOOKTITLE = {{ICDAR 2024 Workshops, ADAPDA}},
ADDRESS = {Ath{\`e}nes, Greece},
YEAR = {2024},
MONTH = Aug,
KEYWORDS = {Domain Adaptation ; Online Handwriting ; Trajectory Reconstruction ; Digital Pen ; Inertial Measurement Units ; Deep Neural Network},
PDF = {https://hal.science/hal-04605593/file/ADAPDA_v6.pdf},
HAL_ID = {hal-04605593},
HAL_VERSION = {v1},
}
[17] F. Painblanc - L. Chapel - N. Courty - C. Friguet - C. Pelletier - R. Tavenard. Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. ECML PKDD 2023 2023.
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@inproceedings{painblanc:hal-04189149,
TITLE = {{Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment}},
AUTHOR = {Painblanc, Fran{\c c}ois and Chapel, Laetitia and Courty, Nicolas and Friguet, Chlo{\'e} and Pelletier, Charlotte and Tavenard, Romain},
URL = {https://hal.science/hal-04189149},
BOOKTITLE = {{ECML PKDD 2023}},
ADDRESS = {Torino, Italy},
YEAR = {2023},
MONTH = Sep,
KEYWORDS = {omain adaptation, time series, optimal transport, dynamic time warping},
HAL_ID = {hal-04189149},
HAL_VERSION = {v1},
}
[18] A. Serdyuk - F. Kreß - M. Hiegle - T. Harbaum - J. Becker - F. Imbert - Y. Soullard - R. Tavenard - E. Anquetil - J. Barth - P. Kämpf. Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. IEEE 9th World Forum on Internet of Things 2023.
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@inproceedings{serdyuk:hal-04358219,
TITLE = {{Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen}},
AUTHOR = {Serdyuk, Alexey and Kre{\ss}, Fabian and Hiegle, Micha and Harbaum, Tanja and Becker, J{\"u}rgen and Imbert, Florent and Soullard, Yann and Tavenard, Romain and Anquetil, Eric and Barth, Jens and K{\"a}mpf, Peter},
URL = {https://inria.hal.science/hal-04358219},
BOOKTITLE = {{IEEE 9th World Forum on Internet of Things}},
ADDRESS = {Aveiro, Portugal},
YEAR = {2023},
MONTH = Oct,
KEYWORDS = {Embedded Systems Human Machine Interfaces Handwriting Reconstruction Temporal Convolutional Network Internet of Things ; Embedded Systems ; Human Machine Interfaces ; Handwriting Reconstruction ; Temporal Convolutional Network ; Internet of Things},
PDF = {https://inria.hal.science/hal-04358219/file/WFIoT_2023_KIHT_joint_paper.pdf},
HAL_ID = {hal-04358219},
HAL_VERSION = {v1},
}
[19] N. Zufferey - M. Humbert - R. Tavenard - K. Huguenin. Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers. USENIX Security Symposium (USENIX Security) 2023.
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@inproceedings{zufferey:hal-04003119,
TITLE = {{Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers}},
AUTHOR = {Zufferey, No{\'e} and Humbert, Mathias and Tavenard, Romain and Huguenin, K{\'e}vin},
URL = {https://hal.science/hal-04003119},
BOOKTITLE = {{USENIX Security Symposium (USENIX Security)}},
ADDRESS = {Anaheim, CA, United States},
SERIES = {Proceedings of the 32nd USENIX Security Symposium},
PAGES = {18},
YEAR = {2023},
MONTH = Aug,
PDF = {https://hal.science/hal-04003119/file/Zufferey2023USENIX.pdf},
HAL_ID = {hal-04003119},
HAL_VERSION = {v1},
}
[20] F. Painblanc - L. Chapel - N. Courty - C. Friguet - C. Pelletier - R. Tavenard. MAD: Match-And-Deform for Time Series Domain Adaptation. Conférence sur l'Apprentissage automatique (CAp) 2022.
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@inproceedings{painblanc:hal-03932463,
TITLE = {{MAD: Match-And-Deform for Time Series Domain Adaptation}},
AUTHOR = {Painblanc, Fran{\c c}ois and Chapel, Laetitia and Courty, Nicolas and Friguet, Chlo{\'e} and Pelletier, Charlotte and Tavenard, Romain},
URL = {https://hal.science/hal-03932463},
BOOKTITLE = {{Conf{\'e}rence sur l'Apprentissage automatique (CAp)}},
ADDRESS = {Vannes, France},
YEAR = {2022},
MONTH = Jul,
KEYWORDS = {domain adaptation ; time series ; optimal transport ; dynamic time warping.},
HAL_ID = {hal-03932463},
HAL_VERSION = {v1},
}
[21] Y. Wang - R. Emonet - E. Fromont - S. Malinowski - R. Tavenard. Adversarial regularization for explainable-by-design time series classification. ICTAI 2020 - 32th International Conference on Tools with Artificial Intelligence 2020.
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@inproceedings{wang:hal-03025671,
TITLE = {{Adversarial regularization for explainable-by-design time series classification}},
AUTHOR = {Wang, Yichang and Emonet, R{\'e}mi and Fromont, Elisa and Malinowski, Simon and Tavenard, Romain},
URL = {https://hal.science/hal-03025671},
BOOKTITLE = {{ICTAI 2020 - 32th International Conference on Tools with Artificial Intelligence}},
ADDRESS = {online, Greece},
PAGES = {1-9},
YEAR = {2020},
MONTH = Nov,
KEYWORDS = {Time Series ; Shapelets ; Adversarial Networks ; Explainable AI ; Convolutional Neural Networks},
PDF = {https://hal.science/hal-03025671/file/ictai2020.pdf},
HAL_ID = {hal-03025671},
HAL_VERSION = {v1},
}
[22] D. Guijo-Rubio - P. A Gutiérrez - R. Tavenard - A. Bagnall. A Hybrid Approach to Time Series Classification with Shapelets. Intelligent Data Engineering and Automated Learning -- IDEAL 2019.
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@inproceedings{guijorubio:hal-02371422,
TITLE = {{A Hybrid Approach to Time Series Classification with Shapelets}},
AUTHOR = {Guijo-Rubio, David and Guti{\'e}rrez, Pedro A and Tavenard, Romain and Bagnall, Anthony},
URL = {https://hal.science/hal-02371422},
BOOKTITLE = {{Intelligent Data Engineering and Automated Learning -- IDEAL}},
ADDRESS = {Manchester, United Kingdom},
PAGES = {137-144},
YEAR = {2019},
MONTH = Nov,
DOI = {10.1007/978-3-030-33607-3\_16},
PDF = {https://hal.science/hal-02371422/file/Hybrid_Shapelet_final.pdf},
HAL_ID = {hal-02371422},
HAL_VERSION = {v1},
}
[23] Y. Wang - R. Emonet - E. Fromont - S. Malinowski - E. Menager - L. Mosser - R. Tavenard. Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistes. CAp 2019 - Conférence sur l'Apprentissage automatique 2019.
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@inproceedings{wang:hal-02268004,
TITLE = {{Classification de s{\'e}ries temporelles bas{\'e}e sur des ''shapelets'' interpr{\'e}tables par r{\'e}seaux de neurones antagonistes}},
AUTHOR = {Wang, Yichang and Emonet, R{\'e}mi and Fromont, Elisa and Malinowski, Simon and Menager, Etienne and Mosser, Lo{\"i}c and Tavenard, Romain},
URL = {https://hal.science/hal-02268004},
BOOKTITLE = {{CAp 2019 - Conf{\'e}rence sur l'Apprentissage automatique}},
ADDRESS = {Toulouse, France},
PAGES = {1-2},
YEAR = {2019},
MONTH = Jul,
PDF = {https://hal.science/hal-02268004/file/mini_cap_fr.pdf},
HAL_ID = {hal-02268004},
HAL_VERSION = {v1},
}
[24] M. Russwurm - R. Tavenard - S. Lefèvre - M. Körner. Early Classification for Agricultural Monitoring from Satellite Time Series. AI for Social Good Workshop at International Conference on Machine Learning (ICML) 2019.
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@inproceedings{russwurm:hal-02343851,
TITLE = {{Early Classification for Agricultural Monitoring from Satellite Time Series}},
AUTHOR = {Russwurm, Marc and Tavenard, Romain and Lef{\`e}vre, S{\'e}bastien and K{\"o}rner, Marco},
URL = {https://hal.science/hal-02343851},
BOOKTITLE = {{AI for Social Good Workshop at International Conference on Machine Learning (ICML)}},
ADDRESS = {Long Beach, United States},
YEAR = {2019},
HAL_ID = {hal-02343851},
HAL_VERSION = {v1},
}
[25] M. Guilleme - S. Malinowski - R. Tavenard - X. Renard. Localized Random Shapelets. International Workshop on Advanced Analysis and Learning on Temporal Data 2019.
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@inproceedings{guilleme:hal-02513295,
TITLE = {{Localized Random Shapelets}},
AUTHOR = {Guilleme, Ma{\"e}l and Malinowski, Simon and Tavenard, Romain and Renard, Xavier},
URL = {https://hal.science/hal-02513295},
BOOKTITLE = {{International Workshop on Advanced Analysis and Learning on Temporal Data}},
ADDRESS = {Wurzburg, Germany},
PAGES = {85-97},
YEAR = {2019},
DOI = {10.1007/978-3-030-39098-3\_7},
PDF = {https://hal.science/hal-02513295/file/Paper_16_AALTD_2019.pdf},
HAL_ID = {hal-02513295},
HAL_VERSION = {v1},
}
[26] T. Vayer - L. Chapel - R. Flamary - R. Tavenard - N. Courty. Optimal Transport for structured data with application on graphs. ICML 2019 - 36th International Conference on Machine Learning 2019.
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@inproceedings{vayer:hal-02174322,
TITLE = {{Optimal Transport for structured data with application on graphs}},
AUTHOR = {Vayer, Titouan and Chapel, Laetitia and Flamary, R{\'e}mi and Tavenard, Romain and Courty, Nicolas},
URL = {https://hal.science/hal-02174322},
BOOKTITLE = {{ICML 2019 - 36th International Conference on Machine Learning}},
ADDRESS = {Long Beach, United States},
PAGES = {1-16},
YEAR = {2019},
MONTH = Jun,
HAL_ID = {hal-02174322},
HAL_VERSION = {v1},
}
[27] T. Vayer - R. Flamary - R. Tavenard - L. Chapel - N. Courty. Sliced Gromov-Wasserstein. NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems 2019.
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@inproceedings{vayer:hal-02174309,
TITLE = {{Sliced Gromov-Wasserstein}},
AUTHOR = {Vayer, Titouan and Flamary, R{\'e}mi and Tavenard, Romain and Chapel, Laetitia and Courty, Nicolas},
URL = {https://hal.science/hal-02174309},
BOOKTITLE = {{NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems}},
ADDRESS = {Vancouver, Canada},
VOLUME = {32},
YEAR = {2019},
MONTH = Dec,
HAL_ID = {hal-02174309},
HAL_VERSION = {v1},
}
[28] R. Carlini Sperandio - S. Malinowski - L. Amsaleg - R. Tavenard. Time Series Retrieval using DTW-Preserving Shapelets. SISAP 2018 – 11th International Conference on Similarity Search and Applications 2018.
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@inproceedings{carlinisperandio:hal-01841995,
TITLE = {{Time Series Retrieval using DTW-Preserving Shapelets}},
AUTHOR = {Carlini Sperandio, Ricardo and Malinowski, Simon and Amsaleg, Laurent and Tavenard, Romain},
URL = {https://inria.hal.science/hal-01841995},
BOOKTITLE = {{SISAP 2018 -- 11th International Conference on Similarity Search and Applications}},
ADDRESS = {Lima, Peru},
PUBLISHER = {{Springer}},
PAGES = {257-270},
YEAR = {2018},
MONTH = Oct,
DOI = {10.1007/978-3-030-02224-2\_20},
KEYWORDS = {Time series Information retrieval ; Shapelets ; Dynamic time warping DTW},
PDF = {https://inria.hal.science/hal-01841995/file/sisap_shapelets-2.pdf},
HAL_ID = {hal-01841995},
HAL_VERSION = {v1},
}
[29] B. Bhushan Damodaran - N. Courty - R. Tavenard. Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images. IGARSS 2017 - IEEE International Geoscience and Remote Sensing Symposium 2017.
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@inproceedings{damodaran:hal-01620604,
TITLE = {{Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images}},
AUTHOR = {Damodaran, Bharath Bhushan and Courty, Nicolas and Tavenard, Romain},
URL = {https://hal.science/hal-01620604},
BOOKTITLE = {{IGARSS 2017 - IEEE International Geoscience and Remote Sensing Symposium}},
ADDRESS = {Houston, United States},
SERIES = {International Geoscience and Remote Sensing Symposium},
PAGES = {1-4},
YEAR = {2017},
MONTH = Jul,
KEYWORDS = { Kernel approximation ; Hyperspectral image classification ; Kernel PCA ; Kernel MNF ; Nonlinear component analysis ; Random Fourier feature},
PDF = {https://hal.science/hal-01620604/file/RNLCA.pdf},
HAL_ID = {hal-01620604},
HAL_VERSION = {v1},
}
[30] R. Tavenard - S. Malinowski - L. Chapel - A. Bailly - H. Sanchez - B. Bustos. Efficient Temporal Kernels between Feature Sets for Time Series Classification. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery 2017. Supplementary material
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@inproceedings{tavenard:halshs-01561461,
TITLE = {{Efficient Temporal Kernels between Feature Sets for Time Series Classification}},
AUTHOR = {Tavenard, Romain and Malinowski, Simon and Chapel, Laetitia and Bailly, Adeline and Sanchez, Heider and Bustos, Benjamin},
URL = {https://shs.hal.science/halshs-01561461},
BOOKTITLE = {{European Conference on Machine Learning and Principles and Practice of Knowledge Discovery}},
ADDRESS = {Skopje, Macedonia},
YEAR = {2017},
MONTH = Sep,
KEYWORDS = {Time series classification},
PDF = {https://shs.hal.science/halshs-01561461/file/paper.pdf},
HAL_ID = {halshs-01561461},
HAL_VERSION = {v1},
}
[31] A. Lods - S. Malinowski - R. Tavenard - L. Amsaleg. Learning DTW-Preserving Shapelets. IDA 2017 - 16th International Symposium on Intelligent Data Analysis 2017.
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@inproceedings{lods:hal-01565207,
TITLE = {{Learning DTW-Preserving Shapelets}},
AUTHOR = {Lods, Arnaud and Malinowski, Simon and Tavenard, Romain and Amsaleg, Laurent},
URL = {https://hal.science/hal-01565207},
BOOKTITLE = {{IDA 2017 - 16th International Symposium on Intelligent Data Analysis}},
ADDRESS = {London, United Kingdom},
PUBLISHER = {{springer International Publishing}},
SERIES = {Advances in Intelligent Data Analysis XVI},
VOLUME = {10584},
PAGES = {198-209},
YEAR = {2017},
MONTH = Oct,
DOI = {10.1007/978-3-319-68765-0\_17},
KEYWORDS = {time series ; dynamic time warping ; shapelets ; clustering},
PDF = {https://hal.science/hal-01565207v2/file/main.pdf},
HAL_ID = {hal-01565207},
HAL_VERSION = {v2},
}
[32] A. Le Guennec - S. Malinowski - R. Tavenard. Data Augmentation for Time Series Classification using Convolutional Neural Networks. ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data 2016.
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@inproceedings{leguennec:halshs-01357973,
TITLE = {{Data Augmentation for Time Series Classification using Convolutional Neural Networks}},
AUTHOR = {Le Guennec, Arthur and Malinowski, Simon and Tavenard, Romain},
URL = {https://shs.hal.science/halshs-01357973},
BOOKTITLE = {{ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data}},
ADDRESS = {Riva Del Garda, Italy},
YEAR = {2016},
MONTH = Sep,
KEYWORDS = {time series ; convolutional neural networks},
PDF = {https://shs.hal.science/halshs-01357973/file/AALTD16_paper_9.pdf},
HAL_ID = {halshs-01357973},
HAL_VERSION = {v1},
}
[33] R. Tavenard - S. Malinowski. Cost-Aware Early Classification of Time Series. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery 2016. Supplementary material
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@inproceedings{tavenard:halshs-01339007,
TITLE = {{Cost-Aware Early Classification of Time Series}},
AUTHOR = {Tavenard, Romain and Malinowski, Simon},
URL = {https://shs.hal.science/halshs-01339007},
BOOKTITLE = {{European Conference on Machine Learning and Principles and Practice of Knowledge Discovery}},
ADDRESS = {Riva del Garda, Italy},
PAGES = {632-647},
YEAR = {2016},
MONTH = Sep,
DOI = {10.1007/978-3-319-46128-1\_40},
KEYWORDS = {time series classification ; early classification},
PDF = {https://shs.hal.science/halshs-01339007/file/20160628_final-ecml_early_classification.pdf},
HAL_ID = {halshs-01339007},
HAL_VERSION = {v1},
}
[34] A. Bailly - D. Arvor - L. Chapel - R. Tavenard. Classification of MODIS Time Series with Dense Bag-of-Temporal-SIFT-Words: Application to Cropland Mapping in the Brazilian Amazon. IEEE International Geoscience and Remote Sensing Symposium 2016.
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@inproceedings{bailly:halshs-01343211,
TITLE = {{Classification of MODIS Time Series with Dense Bag-of-Temporal-SIFT-Words: Application to Cropland Mapping in the Brazilian Amazon}},
AUTHOR = {Bailly, Adeline and Arvor, Damien and Chapel, Laetitia and Tavenard, Romain},
URL = {https://shs.hal.science/halshs-01343211},
BOOKTITLE = {{IEEE International Geoscience and Remote Sensing Symposium}},
ADDRESS = {Beijing, China},
YEAR = {2016},
MONTH = Jul,
DOI = {10.1109/IGARSS.2016.7729594},
KEYWORDS = {Time Series Classification ; MODIS ; Vegetation Index ; D-BoTSW},
PDF = {https://shs.hal.science/halshs-01343211/file/classification-modis-time.pdf},
HAL_ID = {halshs-01343211},
HAL_VERSION = {v1},
}
[35] A. Bailly - S. Malinowski - R. Tavenard - T. Guyet - L. Chapel. Bag-of-Temporal-SIFT-Words for Time Series Classification. ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data 2015.
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@inproceedings{bailly:halshs-01184900,
TITLE = {{Bag-of-Temporal-SIFT-Words for Time Series Classification}},
AUTHOR = {Bailly, Adeline and Malinowski, Simon and Tavenard, Romain and Guyet, Thomas and Chapel, Laetitia},
URL = {https://shs.hal.science/halshs-01184900},
BOOKTITLE = {{ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data}},
ADDRESS = {Porto, Portugal},
YEAR = {2015},
MONTH = Sep,
KEYWORDS = {SIFT ; BoTSW ; time series classification ; Bag-of-Words},
PDF = {https://shs.hal.science/halshs-01184900/file/bag-temporal-sift.pdf},
HAL_ID = {halshs-01184900},
HAL_VERSION = {v1},
}
[36] S. Malinowski - T. Guyet - R. Quiniou - R. Tavenard. 1d-SAX : une nouvelle représentation symbolique pour les séries temporelles. Conférence Extraction et Gestion de Connaissances 2014.
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@inproceedings{malinowski:hal-00916970,
TITLE = {{1d-SAX : une nouvelle repr{\'e}sentation symbolique pour les s{\'e}ries temporelles}},
AUTHOR = {Malinowski, Simon and Guyet, Thomas and Quiniou, Ren{\'e} and Tavenard, Romain},
URL = {https://inria.hal.science/hal-00916970},
BOOKTITLE = {{Conf{\'e}rence Extraction et Gestion de Connaissances}},
ADDRESS = {Rennes, France},
YEAR = {2014},
MONTH = Jan,
HAL_ID = {hal-00916970},
HAL_VERSION = {v1},
}
[37] R. Tavenard - R. Emonet - J. M. Odobez. Time-sensitive Topic Models For Action Recognition In Videos. ICIP - International Conference on Image Processing 2013.
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@inproceedings{tavenard:hal-00872048,
TITLE = {{Time-Sensitive Topic Models for Action Recognition in Videos}},
AUTHOR = {Tavenard, Romain and Emonet, R{\'e}mi and Odobez, Jean-Marc},
URL = {https://inria.hal.science/hal-00872048},
BOOKTITLE = {{ICIP - International Conference on Image Processing}},
ADDRESS = {Melbourne, Australia},
YEAR = {2013},
MONTH = Sep,
PDF = {https://inria.hal.science/hal-00872048/file/hal-00872048.pdf},
HAL_ID = {hal-00872048},
HAL_VERSION = {v1},
}
[38] S. Malinowski - T. Guyet - R. Quiniou - R. Tavenard. 1d-SAX: A Novel Symbolic Representation for Time Series. Advances in Intelligent Data Analysis 2013.
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@inproceedings{malinowski:halshs-00912512,
TITLE = {{1d-SAX: A Novel Symbolic Representation for Time Series}},
AUTHOR = {Malinowski, Simon and Guyet, Thomas and Quiniou, Ren{\'e} and Tavenard, Romain},
URL = {https://shs.hal.science/halshs-00912512},
BOOKTITLE = {{International Symposium on Intelligent Data Analysis}},
ADDRESS = {United Kingdom},
NUMBER = {12},
PAGES = {273-284},
YEAR = {2013},
DOI = {10.1007/978-3-642-41398-8\_24},
KEYWORDS = {SAX ; time series retrieval},
PDF = {https://shs.hal.science/halshs-00912512/file/paper_IDA.pdf},
HAL_ID = {halshs-00912512},
HAL_VERSION = {v1},
}
[39] H. Jégou - R. Tavenard - M. Douze - L. Amsaleg. Searching in one billion vectors: re-rank with source coding. ICASSP 2011 - International Conference on Acoustics, Speech and Signal Processing 2011.
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@inproceedings{jegou:inria-00566883,
TITLE = {{Searching in one billion vectors: re-rank with source coding}},
AUTHOR = {J{\'e}gou, Herv{\'e} and Tavenard, Romain and Douze, Matthijs and Amsaleg, Laurent},
URL = {https://inria.hal.science/inria-00566883},
BOOKTITLE = {{ICASSP 2011 - International Conference on Acoustics, Speech and Signal Processing}},
ADDRESS = {Prague, Czech Republic},
PUBLISHER = {{IEEE}},
PAGES = {861-864},
YEAR = {2011},
MONTH = May,
DOI = {10.1109/ICASSP.2011.5946540},
KEYWORDS = {approximate nearest neighbors ; large scale indexing ; source coding ; similarity search},
PDF = {https://inria.hal.science/inria-00566883/file/paper.pdf},
HAL_ID = {inria-00566883},
HAL_VERSION = {v1},
}
[40] R. Tavenard - H. Jégou - L. Amsaleg. Balancing clusters to reduce response time variability in large scale image search. International Workshop on Content-Based Multimedia Indexing (CBMI 2011) 2011.
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@inproceedings{tavenard:inria-00576886,
TITLE = {{Balancing clusters to reduce response time variability in large scale image search}},
AUTHOR = {Tavenard, Romain and J{\'e}gou, Herv{\'e} and Amsaleg, Laurent},
URL = {https://inria.hal.science/inria-00576886},
BOOKTITLE = {{International Workshop on Content-Based Multimedia Indexing (CBMI 2011)}},
ADDRESS = {Madrid, Spain},
YEAR = {2011},
MONTH = Jun,
PDF = {https://inria.hal.science/inria-00576886v2/file/cbmi2011_preprint.pdf},
HAL_ID = {inria-00576886},
HAL_VERSION = {v2},
}
[41] V. Claveau - R. Tavenard - L. Amsaleg. Vectorisation des processus d'appariement document-requête. 7e conférence en recherche d'informations et applications, CORIA'10 2010.
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@inproceedings{claveau:inria-00561797,
TITLE = {{Vectorisation des processus d'appariement document-requ{\^e}te}},
AUTHOR = {Claveau, Vincent and Tavenard, Romain and Amsaleg, Laurent},
URL = {https://inria.hal.science/inria-00561797},
BOOKTITLE = {{7e conf{\'e}rence en recherche d'informations et applications, CORIA'10}},
ADDRESS = {Sousse, Tunisia},
YEAR = {2010},
MONTH = Mar,
KEYWORDS = {Vectorization ; vector space ; language modeling ; pairing complexity},
HAL_ID = {inria-00561797},
HAL_VERSION = {v1},
}
[42] E. Pauwels - A. Ali Salah - R. Tavenard. Sensor Networks for Ambient Intelligence. IEEE Workshop on Multimedia Signal Processing 2007.
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@inproceedings{pauwels:halshs-01138508,
TITLE = {{Sensor Networks for Ambient Intelligence}},
AUTHOR = {Pauwels, Eric and Salah, Albert Ali and Tavenard, Romain},
URL = {https://shs.hal.science/halshs-01138508},
BOOKTITLE = {{IEEE Workshop on Multimedia Signal Processing}},
ADDRESS = {Chania, Greece},
YEAR = {2007},
MONTH = Oct,
DOI = {10.1109/MMSP.2007.4412806},
KEYWORDS = {Sensors ; Ambient Intelligence ; Data mining},
PDF = {https://shs.hal.science/halshs-01138508/file/mmsp_07_pauwels.pdf},
HAL_ID = {halshs-01138508},
HAL_VERSION = {v1},
}
[43] R. Tavenard - A. Ali Salah - E. Pauwels. Searching for Temporal Patterns in AmI Sensor Data. Constructing Ambient Intelligence 2007.
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@inproceedings{tavenard:halshs-01138512,
TITLE = {{Searching for Temporal Patterns in AmI Sensor Data}},
AUTHOR = {Tavenard, Romain and Salah, Albert Ali and Pauwels, Eric},
URL = {https://shs.hal.science/halshs-01138512},
BOOKTITLE = {{Constructing Ambient Intelligence}},
ADDRESS = {Darmstadt, Germany},
PAGES = {53-62},
YEAR = {2007},
MONTH = Nov,
DOI = {10.1007/978-3-540-85379-4\_7},
KEYWORDS = {Data mining ; Ambient Intelligence},
PDF = {https://shs.hal.science/halshs-01138512/file/ami_07_tavenard.pdf},
HAL_ID = {halshs-01138512},
HAL_VERSION = {v1},
}
Thesis
[44] R. Tavenard. Indexing feature sequences. Thesis, 2011.
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@phdthesis{tavenard:tel-00639225,
TITLE = {{Indexation de s{\'e}quences de descripteurs}},
AUTHOR = {Tavenard, Romain},
URL = {https://theses.hal.science/tel-00639225},
SCHOOL = {{Universit{\'e} Rennes 1}},
YEAR = {2011},
MONTH = Jul,
KEYWORDS = {s{\'e}quences ; indexation},
TYPE = {Theses},
PDF = {https://theses.hal.science/tel-00639225/file/thesis.pdf},
HAL_ID = {tel-00639225},
HAL_VERSION = {v1},
}