Searching for Temporal Patterns in AmI Sensor Data. - Romain Tavenard; Albert Ali Salah; Eric J. Pauwels (AmI Workshops, 2007)

Estimation de similarité entre séquences de descripteurs à l'aide de machines à vecteurs supports. - Romain Tavenard; Laurent Amsaleg; Guillaume Gravier (BDA, 2007)

Opportunistic Sensing and Learning in Sensor Networks. - Romain Tavenard; Onkar Ambekar; Eric J. Pauwels; Max Waaijers (CBMI, 2007)

Sensor Networks for Ambient Intelligence. - Eric J. Pauwels; Albert Ali Salah; Romain Tavenard (MMSP, 2007)

Model-based similarity estimation of multidimensional temporal sequences. - Romain Tavenard; Laurent Amsaleg; Guillaume Gravier (Ann. des Télécommunications, 2009)

Vectorisation des processus d'appariement document-requête. - Vincent Claveau; Romain Tavenard; Laurent Amsaleg (CORIA, 2010)

T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data. - Albert Ali Salah; Eric J. Pauwels; Romain Tavenard; Theo Gevers (Sensors, 2010)

Balancing clusters to reduce response time variability in large scale image search. - Romain Tavenard; Hervé Jégou; Laurent Amsaleg (CBMI, 2011)

Searching in one billion vectors: Re-rank with source coding. - Hervé Jégou; Romain Tavenard; Matthijs Douze; Laurent Amsaleg (ICASSP, 2011)

Indexation de séquences de descripteurs. (Indexing feature sequences). - Romain Tavenard (2011)

Time-sensitive topic models for action recognition in videos. - Romain Tavenard; Rémi Emonet; Jean-Marc Odobez (ICIP, 2013)

1d-SAX: A Novel Symbolic Representation for Time Series. - Simon Malinowski; Thomas Guyet; René Quiniou; Romain Tavenard (IDA, 2013)

1d-SAX : une nouvelle représentation symbolique pour les séries temporelles. - Simon Malinowski; Thomas Guyet; René Quiniou; Romain Tavenard (EGC, 2014)

Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. - Adeline Bailly; Simon Malinowski; Romain Tavenard; Laetitia Chapel; Thomas Guyet (AALTD@PKDD/ECML (Revised Selected Papers), 2015)

Bag-of-Temporal-SIFT-Words for Time Series Classification. - Adeline Bailly; Simon Malinowski; Romain Tavenard; Thomas Guyet; Lætitia Chapel (AALTD@PKDD/ECML, 2015)

Improving the efficiency of traditional DTW accelerators. - Romain Tavenard; Laurent Amsaleg (Knowl. Inf. Syst., 2015)

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 (IGARSS, 2016)

Cost-Aware Early Classification of Time Series. - Romain Tavenard; Simon Malinowski (ECML/PKDD (1), 2016)

Learning DTW-Preserving Shapelets. - Arnaud Lods; Simon Malinowski; Romain Tavenard; Laurent Amsaleg (IDA, 2017)

Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. - Bharath Bhushan Damodaran; Nicolas Courty; Romain Tavenard (IGARSS, 2017)

Efficient Temporal Kernels Between Feature Sets for Time Series Classification. - Romain Tavenard; Simon Malinowski; Laetitia Chapel; Adeline Bailly; Heider Sanchez; Benjamin Bustos (ECML/PKDD (2), 2017)

Dynamic Time Warping under limited warping path length. - Zheng Zhang 021; Romain Tavenard; Adeline Bailly; Xiaotong Tang; Ping Tang; Thomas Corpetti (Inf. Sci., 2017)

Nonlinear Time-Series Adaptation for Land Cover Classification. - Adeline Bailly; Laetitia Chapel; Romain Tavenard; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2017)

Time Series Retrieval Using DTW-Preserving Shapelets. - Ricardo C. Sperandio; Simon Malinowski; Laurent Amsaleg; Romain Tavenard (SISAP, 2018)

Optimal Transport for structured data. - Titouan Vayer; Laetitia Chapel; Rémi Flamary; Romain Tavenard; Nicolas Courty (CoRR, 2018)

From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. - James Large; Anthony J. Bagnall; Simon Malinowski; Romain Tavenard (CoRR, 2018)

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. - Titouan Vayer; Laetitia Chapel; Rémi Flamary; Romain Tavenard; Nicolas Courty (CoRR, 2018)

Optimal Transport for structured data with application on graphs. - Titouan Vayer; Nicolas Courty; Romain Tavenard; Laetitia Chapel; Rémi Flamary (ICML, 2019)

A Hybrid Approach to Time Series Classification with Shapelets. - David Guijo-Rubio; Pedro Antonio Gutiérrez; Romain Tavenard; Anthony J. Bagnall (IDEAL (1), 2019)

Sliced Gromov-Wasserstein. - Titouan Vayer; Rémi Flamary; Nicolas Courty; Romain Tavenard; Laetitia Chapel (NeurIPS, 2019)

Localized Random Shapelets. - Maël Guillemé; Simon Malinowski; Romain Tavenard; Xavier Renard (AALTD@PKDD/ECML, 2019)

End-to-end Learning for Early Classification of Time Series. - Marc Rußwurm; Sébastien Lefèvre; Nicolas Courty; Rémi Emonet; Marco Körner 001; Romain Tavenard (CoRR, 2019)

Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. - Yichang Wang; Rémi Emonet; Élisa Fromont; Simon Malinowski; Etienne Menager; Loïc Mosser; Romain Tavenard (CoRR, 2019)

Early Classification for Agricultural Monitoring from Satellite Time Series. - Marc Rußwurm; Romain Tavenard; Sébastien Lefèvre; Marco Körner 001 (CoRR, 2019)

On time series classification with dictionary-based classifiers. - James Large; Anthony J. Bagnall; Simon Malinowski; Romain Tavenard (Intell. Data Anal., 2019)

Adversarial Regularization for Explainable-by-Design Time Series Classification. - Yichang Wang; Rémi Emonet; Élisa Fromont; Simon Malinowski; Romain Tavenard (ICTAI, 2020)

Fused Gromov-Wasserstein Distance for Structured Objects. - Titouan Vayer; Laetitia Chapel; Rémi Flamary; Romain Tavenard; Nicolas Courty (Algorithms, 2020)

Tslearn, A Machine Learning Toolkit for Time Series Data. - Romain Tavenard; Johann Faouzi; Gilles Vandewiele; Felix Divo; Guillaume Androz; Chester Holtz; Marie Payne; Roman Yurchak; Marc Rußwurm; Kushal Kolar; Eli Woods (J. Mach. Learn. Res., 2020)

POT: Python Optimal Transport. - 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; et al. (J. Mach. Learn. Res., 2021)

Time Series Alignment with Global Invariances. - Titouan Vayer; Romain Tavenard; Laetitia Chapel; Rémi Flamary; Nicolas Courty; Yann Soullard (Trans. Mach. Learn. Res., 2022)

Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. - François Painblanc; Laetitia Chapel; Nicolas Courty; Chloé Friguet; Charlotte Pelletier; Romain Tavenard (ECML/PKDD (5), 2023)

Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers. - Noé Zufferey; Mathias Humbert; Romain Tavenard; Kévin Huguenin (USENIX Security Symposium, 2023)

Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. - Alexey Serdyuk; Fabian Kreß; Micha Hiegle; Tanja Harbaum; Jürgen Becker 001; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jens Barth; Peter Kämpf (WF-IoT, 2023)

Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. - Pierre Gloaguen; Laetitia Chapel; Chloé Friguet; Romain Tavenard (Mach. Learn., 2023)

Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network. - Wassim Swaileh; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil (Int. J. Document Anal. Recognit., 2023)

KIHT: Kaligo-Based Intelligent Handwriting Teacher. - Tanja Harbaum; Alexey Serdyuk; Fabian Kreß; Tim Hamann; Jens Barth; Peter Kämpf; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jessica Delahaie (DATE, 2024)

Domain Adaptation for Handwriting Trajectory Reconstruction from IMU Sensors. - Florent Imbert; Romain Tavenard; Yann Soullard; Éric Anquetil (ICDAR (Workshops 1), 2024)

One for all and all for one: Efficient computation of partial Wasserstein distances on the line. - Laetitia Chapel; Romain Tavenard (ICLR, 2025)

Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors. - Florent Imbert; Éric Anquetil; Yann Soullard; Romain Tavenard (Pattern Recognit., 2025)

Differentiable Generalized Sliced Wasserstein Plans. - Laetitia Chapel; Romain Tavenard; Samuel Vaiter (CoRR, 2025)