La morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS. - David Sheeren; Sébastien Lefèvre; Jonathan Weber (Rev. Int. Géomatique, 2007)

A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching. - Jonathan Weber; Sébastien Lefèvre (ICISP, 2008)

Video Object Mining: Issues and Perspectives. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ICSC, 2010)

Interactive video segmentation based on quasi-flat zones. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ISPA, 2011)

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. - Jonathan Weber; Sébastien Lefèvre; Pierre Gançarski (ISMM, 2011)

Segmentation morphologique interactive pour la fouille de séquences vidéo. (Interactive morphological segmentation for video mining). - Jonathan Weber (2011)

Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations. - Michal Kazimierz Kowalczyk; Bertrand Kerautret; Benoît Naegel; Jonathan Weber (ICCVG, 2012)

Symbol spotting for technical documents: An efficient template-matching approach. - Jonathan Weber; Salvatore Tabbone (ICPR, 2012)

Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones. - Jonathan Weber; François Petitjean; Pierre Gançarski (IGARSS, 2012)

Spatial and spectral morphological template matching. - Jonathan Weber; Sébastien Lefèvre (Image Vis. Comput., 2012)

Vectorial Quasi-flat Zones for Color Image Simplification. - Erhan Aptoula; Jonathan Weber; Sébastien Lefèvre (ISMM, 2013)

Fast quasi-flat zones filtering using area threshold and region merging. - Jonathan Weber; Sébastien Lefèvre (J. Vis. Commun. Image Represent., 2013)

Efficient Satellite Image Time Series Analysis Under Time Warping. - François Petitjean; Jonathan Weber (IEEE Geosci. Remote. Sens. Lett., 2014)

Multi-scale Image Co-segmentation. - Rachida Es-salhi; Imane Daoudi; Jonathan Weber; Hamid El Ouardi; Saida Tallal; Hicham Medromi (UNet, 2015)

Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods. - Manuel Grand-Brochier; Antoine Vacavant; Guillaume Cerutti; Camille Kurtz; Jonathan Weber; Laure Tougne (IEEE Trans. Image Process., 2015)

Towards a Semantic Search Engine for Scientific Articles. - Bastien Latard; Jonathan Weber; Germain Forestier; Michel Hassenforder (TPDL, 2017)

Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature. - Bastien Latard; Jonathan Weber; Germain Forestier; Michel Hassenforder (ICTAI, 2017)

Transfer learning for time series classification. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (IEEE BigData, 2018)

Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clés. - Bastien Latard; Jonathan Weber; Germain Forestier; Michel Hassenforder (EGC, 2018)

Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (MICCAI (4), 2018)

Surgical motion analysis using discriminative interpretable patterns. - Germain Forestier; François Petitjean; Pavel Senin; Fabien Despinoy; Arnaud Huaulmé; Hassan Ismail Fawaz; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller; Pierre Jannin (Artif. Intell. Medicine, 2018)

Data augmentation using synthetic data for time series classification with deep residual networks. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (CoRR, 2018)

Automatic Alignment of Surgical Videos Using Kinematic Data. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; François Petitjean; Lhassane Idoumghar; Pierre-Alain Muller (AIME, 2019)

Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (EGC, 2019)

Deep Neural Network Ensembles for Time Series Classification. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (IJCNN, 2019)

Adversarial Attacks on Deep Neural Networks for Time Series Classification. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (IJCNN, 2019)

Transfer learning for the classification of video-recorded crowd movements. - Mounir Bendali-Braham; Jonathan Weber; Germain Forestier; Lhassane Idoumghar; Pierre-Alain Muller (ISPA, 2019)

Deep Constrained Clustering applied to Satellite Image Time Series. - Baptiste Lafabregue; Jonathan Weber; Pierre Gançarski; Germain Forestier (MACLEAN@PKDD/ECML, 2019)

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (Int. J. Comput. Assist. Radiol. Surg., 2019)

Deep learning for time series classification: a review. - Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller (Data Min. Knowl. Discov., 2019)

Real-Time Detection of Glomeruli in Renal Pathology. - Robin Heckenauer; Jonathan Weber; Cédric Wemmert; Friedrich Feuerhake; Michel Hassenforder; Pierre-Alain Muller; Germain Forestier (CBMS, 2020)

Automated Machine Learning for Information Retrieval in Scientific Articles. - Hojjat Rakhshani; Bastien Latard; Mathieu Brévilliers; Jonathan Weber; Julien Lepagnot; Germain Forestier; Michel Hassenforder; Lhassane Idoumghar (CEC, 2020)

Change Detection on JATS Academic Articles: An XML Diff Comparison Study. - Milos Cuculovic; Frédéric Fondement; Maxime Devanne; Jonathan Weber; Michel Hassenforder (DocEng, 2020)

Knowledge-Based Categorization of Scientific Articles for Similarity Predictions. - Nolwenn Bernard; Jonathan Weber; Germain Forestier; Michel Hassenforder; Bastien Latard (TPDL, 2020)

Time Series Averaging Using Multi-Tasking Autoencoder. - Tsegamlak Terefe; Maxime Devanne; Jonathan Weber; Dereje Hailemariam; Germain Forestier (ICTAI, 2020)

Neural Architecture Search for Time Series Classification. - Hojjat Rakhshani; Hassan Ismail Fawaz; Lhassane Idoumghar; Germain Forestier; Julien Lepagnot; Jonathan Weber; Mathieu Brévilliers; Pierre-Alain Muller (IJCNN, 2020)

A review of alignment based similarity measures for web usage mining. - Vinh-Trung Luu; Germain Forestier; Jonathan Weber; Paul Bourgeois; Fahima Djelil; Pierre-Alain Muller (Artif. Intell. Rev., 2020)

InceptionTime: Finding AlexNet for time series classification. - Hassan Ismail Fawaz; Benjamin Lucas; Germain Forestier; Charlotte Pelletier; Daniel F. Schmidt; Jonathan Weber; Geoffrey I. Webb; Lhassane Idoumghar; Pierre-Alain Muller; François Petitjean (Data Min. Knowl. Discov., 2020)

CNN-based Invariant Extended Kalman Filter for projectile trajectory estimation using IMU only. - Alicia Roux; Sébastien Changey; Jonathan Weber; Jean-Philippe Lauffenburger (ICCAD, 2021)

Projectile trajectory estimation: performance analysis of an Extended Kalman Filter and an Imperfect Invariant Extended Kalman Filter. - Alicia Roux; Sébastien Changey; Jonathan Weber; Jean-Philippe Lauffenburger (ICSC, 2021)

Grad Centroid Activation Mapping for Convolutional Neural Networks. - Baptiste Lafabregue; Jonathan Weber; Pierre Gançarski; Germain Forestier (ICTAI, 2021)

Ensemble classification of video-recorded crowd movements. - Mounir Bendali-Braham; Jonathan Weber; Germain Forestier; Lhassane Idoumghar; Pierre-Alain Muller (ISPA, 2021)

Deep learning for colon cancer histopathological images analysis. - Amina Ben Hamida; Maxime Devanne; Jonathan Weber; Caroline Truntzer; Valentin Derangère; François Ghiringhelli; Germain Forestier; Cédric Wemmert (Comput. Biol. Medicine, 2021)

Data Augmentation for Time Series Classification with Deep Learning Models. - Gautier Pialla; Maxime Devanne; Jonathan Weber; Lhassane Idoumghar; Germain Forestier (AALTD@ECML/PKDD, 2022)

Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. - Ali Ismail-Fawaz; Maxime Devanne; Jonathan Weber; Germain Forestier (IEEE Big Data, 2022)

Incremental constrained clustering with application to remote sensing images time series. - Baptiste Lafabregue; Pierre Gançarski; Jonathan Weber; Germain Forestier (ICDM (Workshops), 2022)

Deep Clustering Methods Study Applied to Satellite Images Time Series. - Baptiste Lafabregue; Anne Puissant; Jonathan Weber; Germain Forestier (IGARSS, 2022)

A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification. - Emel Ay; Maxime Devanne; Jonathan Weber; Germain Forestier (IJCNN, 2022)

Smooth Perturbations for Time Series Adversarial Attacks. - Gautier Pialla; Hassan Ismail Fawaz; Maxime Devanne; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller; Christoph Bergmeir; Daniel F. Schmidt; Geoffrey I. Webb; Germain Forestier (PAKDD (1), 2022)

Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers. - Mouad Hamri; Maxime Devanne; Jonathan Weber; Michel Hassenforder (RRPR, 2022)

Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders. - Ilias Rmouque; Maxime Devanne; Jonathan Weber; Germain Forestier; Cédric Wemmert (VISIGRAPP (4: VISAPP), 2022)

Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation. - Amina Ben Hamida; Maxime Devanne; Jonathan Weber; Caroline Truntzer; Valentin Derangère; François Ghiringhelli; Germain Forestier; Cédric Wemmert (Artif. Intell. Medicine, 2022)

End-to-end deep representation learning for time series clustering: a comparative study. - Baptiste Lafabregue; Jonathan Weber; Pierre Gançarski; Germain Forestier (Data Min. Knowl. Discov., 2022)

Semantics to the rescue of document-based XML diff: A JATS case study. - Milos Cuculovic; Frédéric Fondement; Maxime Devanne; Jonathan Weber; Michel Hassenforder (Softw. Pract. Exp., 2022)

ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging. - Ali Ismail-Fawaz; Hassan Ismail Fawaz; François Petitjean; Maxime Devanne; Jonathan Weber; Stefano Berretti; Geoffrey I. Webb; Germain Forestier (AALTD@ECML/PKDD, 2023)

Comparison of deep learning architectures for colon cancer mutation detection. - Robin Heckenauer; Jonathan Weber; Cédric Wemmert; Caroline Truntzer; Valentin Derangère; François Ghiringhelli; Michel Hassenforder; Pierre-Alain Muller; Germain Forestier (CBMS, 2023)

LITE: Light Inception with boosTing tEchniques for Time Series Classification. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (DSAA, 2023)

Enhancing Time Series Classification with Self-Supervised Learning. - Ali Ismail-Fawaz; Maxime Devanne; Jonathan Weber; Germain Forestier (ICAART (3), 2023)

Named Entity Recognition for peer-review disambiguation in academic publishing. - Milos Cuculovic; Frédéric Fondement; Maxime Devanne; Jonathan Weber; Michel Hassenforder (ICICT, 2023)

Exploring inference of a land use and land cover model trained on MultiSenGE dataset. - Romain Wenger; Anne Puissant; Jonathan Weber; Lhassane Idoumghar; Germain Forestier (JURSE, 2023)

Mortar Trajectory Estimation by a Deep Error-State Kalman Filter in a GNSS-Denied Environment. - Alicia Roux; Sébastien Changey; Jean-Philippe Lauffenburger; Jonathan Weber (PLANS, 2023)

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. - Ali Ismail-Fawaz; Angus Dempster; Chang Wei Tan; Matthieu Herrmann; Lynn Miller; Daniel F. Schmidt; Stefano Berretti; Jonathan Weber; Maxime Devanne; Germain Forestier; Geoffrey I. Webb (CoRR, 2023)

Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset. - Romain Wenger; Anne Puissant; Jonathan Weber; Lhassane Idoumghar; Germain Forestier (Remote. Sens., 2023)

LSTM-Based Projectile Trajectory Estimation in a GNSS-Denied Environment. - Alicia Roux; Sébastien Changey; Jonathan Weber; Jean-Philippe Lauffenburger (Sensors, 2023)

Estimating time series averages from latent space of multi-tasking neural networks. - Tsegamlak Terefe; Maxime Devanne; Jonathan Weber; Dereje Hailemariam; Germain Forestier (Knowl. Inf. Syst., 2023)

Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (AALTD@ECML/PKDD, 2024)

COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification. - Oumaima Badi; Maxime Devanne; Ali Ismail-Fawaz; Javidan Abdullayev; Vincent Lemaire 001; Stefano Berretti; Jonathan Weber; Germain Forestier (IEEE Big Data, 2024)

LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (EGC, 2024)

A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (ICPRAI (2), 2024)

Finding Foundation Models for Time Series Classification with a PreText Task. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (PAKDD (Workshops), 2024)

Document Information Extraction: An Analysis of Invoice Anatomy. - Mouad Hamri; Maxime Devanne; Jonathan Weber; Michel Hassenforder (Appl. Comput. Intell. Soft Comput., 2024)

Look Into the LITE in Deep Learning for Time Series Classification. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (CoRR, 2024)

Correction: Estimating time series averages from latent space of multi-tasking neural networks. - Tsegamlak Terefe Debella; Maxime Devanne; Jonathan Weber; Dereje Hailemariam Woldegebreal; Germain Forestier (Knowl. Inf. Syst., 2024)

A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification. - Bruno Côme; Maxime Devanne; Jonathan Weber; Germain Forestier (ICAART (2), 2025)

Deep Neural Network Architectures for Advanced Hiking Map Generation. - Olivier Schirm; Maxime Devanne; Jonathan Weber; Arnaud Lecus; Germain Forestier; Cédric Wemmert (ICPRAM, 2025)

Establishing a unified evaluation framework for human motion generation: A comparative analysis of metrics. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (Comput. Vis. Image Underst., 2025)

Time series adversarial attacks: an investigation of smooth perturbations and defense approaches. - Gautier Pialla; Hassan Ismail Fawaz; Maxime Devanne; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller; Christoph Bergmeir; Daniel F. Schmidt; Geoffrey I. Webb; Germain Forestier (Int. J. Data Sci. Anal., 2025)

Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark. - Ali Ismail-Fawaz; Maxime Devanne; Stefano Berretti; Jonathan Weber; Germain Forestier (CoRR, 2025)