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2020 – today
- 2025
[j13]Florent Imbert
, Éric Anquetil, Yann Soullard, Romain Tavenard:
Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors. Pattern Recognit. 161: 111231 (2025)- [e5]Vincent Lemaire, Georgiana Ifrim, Anthony J. Bagnall, Thomas Guyet, Simon Malinowski, Patrick Schäfer, Romain Tavenard:
Advanced Analytics and Learning on Temporal Data - 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15433, Springer 2025, ISBN 978-3-031-77065-4 [contents] - 2024
- [c28]Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, Peter Kämpf, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jessica Delahaie:
KIHT: Kaligo-Based Intelligent Handwriting Teacher. DATE 2024: 1-6 - [c27]Florent Imbert, Romain Tavenard, Yann Soullard, Éric Anquetil:
Domain Adaptation for Handwriting Trajectory Reconstruction from IMU Sensors. ICDAR (Workshops 1) 2024: 3-11 - 2023
- [j12]Wassim Swaileh, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil:
Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network. Int. J. Document Anal. Recognit. 26(3): 289-302 (2023) - [j11]Pierre Gloaguen, Laetitia Chapel, Chloé Friguet, Romain Tavenard:
Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Mach. Learn. 112(6): 1975-2001 (2023) - [c26]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) 2023: 341-356 - [c25]Noé Zufferey, Mathias Humbert, Romain Tavenard, Kévin Huguenin:
Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers. USENIX Security Symposium 2023: 193-210 - [c24]Alexey Serdyuk, Fabian Kreß, Micha Hiegle, Tanja Harbaum, Jürgen Becker, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jens Barth, Peter Kämpf:
Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. WF-IoT 2023: 1-6 - [e4]Georgiana Ifrim, Romain Tavenard, Anthony J. Bagnall, Patrick Schäfer, Simon Malinowski, Thomas Guyet, Vincent Lemaire:
Advanced Analytics and Learning on Temporal Data - 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14343, Springer 2023, ISBN 978-3-031-49895-4 [contents] - [i12]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR abs/2308.12686 (2023) - 2022
- [j10]Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard:
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [j9]Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer:
POT: Python Optimal Transport. J. Mach. Learn. Res. 22: 78:1-78:8 (2021) - [e3]Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim:
Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13114, Springer 2021, ISBN 978-3-030-91444-8 [contents] - 2020
- [j8]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13(9): 212 (2020) - [j7]Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods:
Tslearn, A Machine Learning Toolkit for Time Series Data. J. Mach. Learn. Res. 21: 118:1-118:6 (2020) - [c23]Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard:
Adversarial Regularization for Explainable-by-Design Time Series Classification. ICTAI 2020: 1079-1087 - [e2]Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard:
Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11986, Springer 2020, ISBN 978-3-030-39097-6 [contents] - [e1]Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim:
Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12588, Springer 2020, ISBN 978-3-030-65741-3 [contents] - [i11]Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard:
Time Series Alignment with Global Invariances. CoRR abs/2002.03848 (2020)
2010 – 2019
- 2019
- [j6]James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard:
On time series classification with dictionary-based classifiers. Intell. Data Anal. 23(5): 1073-1089 (2019) - [c22]Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary:
Optimal Transport for structured data with application on graphs. ICML 2019: 6275-6284 - [c21]David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall:
A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) 2019: 137-144 - [c20]Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel:
Sliced Gromov-Wasserstein. NeurIPS 2019: 14726-14736 - [c19]Maël Guillemé, Simon Malinowski, Romain Tavenard, Xavier Renard:
Localized Random Shapelets. AALTD@PKDD/ECML 2019: 85-97 - [i10]Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard:
End-to-end Learning for Early Classification of Time Series. CoRR abs/1901.10681 (2019) - [i9]Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty:
Sliced Gromov-Wasserstein. CoRR abs/1905.10124 (2019) - [i8]Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard:
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. CoRR abs/1906.00917 (2019) - [i7]Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner:
Early Classification for Agricultural Monitoring from Satellite Time Series. CoRR abs/1908.10283 (2019) - 2018
- [c18]Ricardo C. Sperandio, Simon Malinowski, Laurent Amsaleg, Romain Tavenard:
Time Series Retrieval Using DTW-Preserving Shapelets. SISAP 2018: 257-270 - [i6]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Optimal Transport for structured data. CoRR abs/1805.09114 (2018) - [i5]James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard:
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. CoRR abs/1809.06751 (2018) - [i4]Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty:
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR abs/1811.02834 (2018) - 2017
- [j5]Zheng Zhang, Romain Tavenard, Adeline Bailly, Xiaotong Tang, Ping Tang, Thomas Corpetti:
Dynamic Time Warping under limited warping path length. Inf. Sci. 393: 91-107 (2017) - [j4]Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls:
Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 14(6): 896-900 (2017) - [c17]Arnaud Lods, Simon Malinowski, Romain Tavenard, Laurent Amsaleg:
Learning DTW-Preserving Shapelets. IDA 2017: 198-209 - [c16]Bharath Bhushan Damodaran, Nicolas Courty, Romain Tavenard:
Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. IGARSS 2017: 5-8 - [c15]Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos:
Efficient Temporal Kernels Between Feature Sets for Time Series Classification. ECML/PKDD (2) 2017: 528-543 - 2016
- [c14]Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard:
Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon. IGARSS 2016: 2300-2303 - [c13]Romain Tavenard, Simon Malinowski:
Cost-Aware Early Classification of Time Series. ECML/PKDD (1) 2016: 632-647 - [i3]Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel:
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. CoRR abs/1601.01799 (2016) - 2015
- [j3]Romain Tavenard, Laurent Amsaleg:
Improving the efficiency of traditional DTW accelerators. Knowl. Inf. Syst. 42(1): 215-243 (2015) - [c12]Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thomas Guyet:
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 17-30 - [c11]Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Lætitia Chapel:
Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML 2015 - 2014
- [c10]Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard:
1d-SAX : une nouvelle représentation symbolique pour les séries temporelles. EGC 2014: 203-208 - 2013
- [c9]Romain Tavenard, Rémi Emonet, Jean-Marc Odobez:
Time-sensitive topic models for action recognition in videos. ICIP 2013: 2988-2992 - [c8]Simon Malinowski, Thomas Guyet, René Quiniou, Romain Tavenard:
1d-SAX: A Novel Symbolic Representation for Time Series. IDA 2013: 273-284 - 2011
- [b1]Romain Tavenard:
Indexation de séquences de descripteurs. (Indexing feature sequences). University of Rennes 1, France, 2011 - [c7]Romain Tavenard, Hervé Jégou, Laurent Amsaleg:
Balancing clusters to reduce response time variability in large scale image search. CBMI 2011: 19-24 - [c6]Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg:
Searching in one billion vectors: Re-rank with source coding. ICASSP 2011: 861-864 - [i2]Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg:
Searching in one billion vectors: re-rank with source coding. CoRR abs/1102.3828 (2011) - 2010
- [j2]Albert Ali Salah, Eric J. Pauwels, Romain Tavenard, Theo Gevers:
T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data. Sensors 10(8): 7496-7513 (2010) - [c5]Vincent Claveau, Romain Tavenard, Laurent Amsaleg:
Vectorisation des processus d'appariement document-requête. CORIA 2010: 313-324 - [i1]Romain Tavenard, Laurent Amsaleg, Hervé Jégou:
Balancing clusters to reduce response time variability in large scale image search. CoRR abs/1009.4739 (2010)
2000 – 2009
- 2009
- [j1]Romain Tavenard, Laurent Amsaleg, Guillaume Gravier:
Model-based similarity estimation of multidimensional temporal sequences. Ann. des Télécommunications 64(5-6): 381-390 (2009) - 2007
- [c4]Romain Tavenard, Albert Ali Salah, Eric J. Pauwels:
Searching for Temporal Patterns in AmI Sensor Data. AmI Workshops 2007: 53-62 - [c3]Romain Tavenard, Laurent Amsaleg, Guillaume Gravier:
Estimation de similarité entre séquences de descripteurs à l'aide de machines à vecteurs supports. BDA 2007 - [c2]Romain Tavenard, Onkar Ambekar, Eric J. Pauwels, Max Waaijers:
Opportunistic Sensing and Learning in Sensor Networks. CBMI 2007: 46-52 - [c1]Eric J. Pauwels, Albert Ali Salah, Romain Tavenard:
Sensor Networks for Ambient Intelligence. MMSP 2007: 13-16
Coauthor Index
aka: Lætitia Chapel
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