Research Projects

PhD committees

Institutions and departments

Courses

Research Articles in International Journals

1. Alicia Roux, Sébastien Changey, Jonathan Weber, Jean-Philippe Lauffenburger,
   LSTM-Based Projectile Trajectory Estimation in a GNSS-Denied Environment,
   Sensors, Vol. 23, No. 6, 2023
   DOI
2. Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier,
   Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset,
   Remote Sensing, Vol. 15, No. 1, 2022
   DOI
3. Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert,
   Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation,
   Artificial Intelligence in Medicine, Vol. 133, 2022
   DOI
4. Elisa Setten, Alessandra Castagna, Josué Manik Nava-Sedeño, Jonathan Weber, Roberta Carriero, Andreas Reppas, Valery Volk, Jessica Schmitz, Wilfried Gwinner, Haralampos Hatzikirou, Friedrich Feuerhake, Massimo Locati,
   Understanding fibrosis pathogenesis via modeling macrophage-fibroblast interplay in immune-metabolic context,
   Nature Communications, 6499, 2022
   DOI
5. Milos Cuculovic, Frederic Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder,
   Semantics to the rescue of document‐based XML diff: A JATS case study,
   Software: Practice and Experience, Vol. 52, No. 6, pp. 1496-1516, 2022
   DOI
6. Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier,
   U-Net feature fusion for multi-class semantic segmentation of urban fabrics from Sentinel-2 imagery: an application on Grand Est Region, France,
   International Journal of Remote Sensing, Vol. 43, No. 5, pp. 1983–2011, 2022
   DOI
7. Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski and Germain Forestier,
   End-to-end deep representation learning for time series clustering: a comparative study,
   Data Mining and Knowledge Discovery, Vol. 36, pp. 29–81, 2022
   DOI
8. Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier and Cédric Wemmert,
   Deep learning for colon cancer histopathological images analysis,
   Computers in Biology and Medicine, Vol. 136, 2021
   DOI
9. Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar and Pierre-Alain Muller,
   Recent trends in crowd analysis: A review,
   Machine Learning with Applications, Vol. 4, 2021
   DOI
10. Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller and François Petitjean,
    InceptionTime: Finding AlexNet for Time Series Classification,
    Data Mining and Knowledge Discovery, Vol. 34, pp. 1936–1962, 2020
    DOI
11. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks,
    International Journal of Computer Assisted Radiology and Surgery, Vol. 14, pp. 1611–1617, 2019
    DOI
12. Vinh-Trung Luu, Germain Forestier, Jonathan Weber, Paul Bourgeois, Fahima Djelil and Pierre-Alain Muller,
    A review of alignment-based similarity measures for web usage mining,
    Artificial Intelligence Review, Vol. 53, pp. 1529–1551, 2019
    DOI
13. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Deep learning for time series classification: a review,
    Data Mining and Knowledge Discovery, Vol. 33, pp. 917–963, 2019
    DOI
14. Germain Forestier, François Petitjean, Pavel Senin, Fabien Despinoy, Arnaud Huaulmé, Hassan Ismail Fawaz, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller and Pierre Jannin,
    Surgical motion analysis using discriminative interpretable patterns,
    Artificial Intelligence in Medicine, Vol. 99, pp. 3-11 (9 pages), September 2018
    DOI
15. Manuel Grand-Brochier, Antoine Vacavant, Camille Kurtz, Jonathan Weber, Laure Tougne,
    Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods,
    IEEE Transactions on Image Processing, Vol. 24, No. 5, pp. 1549-1560 (12 pages), May 2015
    PDF DOI
16. François Petitjean, Jonathan Weber,
    Efficient Satellite Image Time Series Analysis Under Time Warping,
    IEEE Geoscience Remote Sensing Letters, Vol. 11, No. 6, pp. 1143-1147 (5 pages), June 2014.
    PDF DOI
17. Jonathan Weber, Sébastien Lefèvre,
    Fast Quasi-Flat Zones Filtering Using Area Threshold and Region Merging,
    Journal of Visual Communication and Image Representation, Vol. 24, No. 3, pp. 397-409 (13 pages), April 2013.
    PDF DOI
18. Jonathan Weber, Sébastien Lefèvre,
    Spatial and Spectral Morphological Template Matching,
    Image and Vision Computing, Vol. 30, No. 12, pp. 934-945 (12 pages), December 2012.
    PDF DOI

Communications to International Conferences and Workshops

1. Joachim Rimpot, Clément Hibert, Jean-Philippe Malet, Germain Forestier, Jonathan Weber,
   Towards a generic clustering approach for building seismic catalogues from dense sensor networks,
   EGU23, Vienna, Austria, April 2023
   
2. Alicia Roux, Jonathan Weber, Jean-Philippe Lauffenburger, Sébastien Changey,
   Projectile trajectory estimation: an LSTM approach,
   Conference on Artificial Intelligence for Defense (CAID), Rennes, France, November 2022
   PDF
3. Marceau Bamond, Nicolas Hueber, Guillaume Strub, Sébastien Changey, Jonathan Weber,
   Visual homing guidance for projectiles using event-cameras,
   Emerging Imaging and Sensing Technologies for Security and Defence VII, 2022.
   DOI
4. Marceau Bamond, Nicolas Hueber, Guillaume Strub, Sébastien Changey, Jonathan Weber,
   Application of an event-sensor to situational awareness,
   Proc. SPIE 12272, Electro-Optical Remote Sensing XVI, 2022.
   DOI
5. Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier,
   A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification,
   International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022.
   DOI
6. Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier,
   Deep Clustering Methods Study Applied to Satellite Images Time Series,
   IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, 2022.
   DOI
7. Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel Schmidt, Geoffrey Webb, Germain Forestier,
   Smooth perturbations for time series adversarial attacks,
   Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Chengdu, China, 2022.
   DOI
8. Ilias Rmouque, Jonathan Weber, Maxime Devanne, Germain Forestier, Cédric Wemmert,
   Ensemble clustering for histopathological images segmentation using convolutional autoencoders,
   International Conference on Computer Vision Theory and Applications (VISAPP), Virtual, 2022.
   DOI
9. Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier,
   Incremental constrained clustering with application to remote sensing images time series,
   ICDM Workshop on Incremental Classification and Clustering, Concept Drift, Novelty Detection, Active Learning in Big/Fast data Context (IncrLearn), Orlando, USA, 2022.
   DOI
10. Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier,
    Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters,
    IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022.
    DOI
11. Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier,
    Data Augmentation for Time Series Classification with Deep Learning models,
    ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Grenoble, France, 2022.
    Link
12. Tsegamlak T Debella, Bethelhem S Shawel, Maxime Devanne, Jonathan Weber, Dereje H Woldegebreal, Sofie Pollin, Germain Forestier,
    Deep Representation Learning for Cluster-Level Time Series Forecasting,
    International Conference on Time Series and Forecasting (ITISE), Gran Canaria, Spain, 2022.
    DOI
13. Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier,
    Multisenge : A Multimodal And Multitemporal Benchmark Dataset For Land Use/land Cover Remote Sensing Applications,
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (6 pages), 2022.
    DOI
14. Milos Cuculovic, Frederic Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder,
    A JATS XML Comparison Algorithm for Scientific Literature,
    Journal Article Tag Suite Conference (JATS-Con), Virtual, Virtual, 2022.
    Link
15. Alicia Roux, Sébastien Changey, Jonathan Weber, Jean-Philippe Lauffenburger,
    Projectile trajectory estimation: performance analysis of an Extended Kalman Filter and an Imperfect Invariant Extended Kalman Filter,
    International Conference on Systems and Control (ICSC), (6 pages), Caen, France, November 2021
    DOI
16. Alicia Roux, Sébastien Changey, Jonathan Weber, Jean-Philippe Lauffenburger,
    CNN-based Invariant Extended Kalman Filter for projectile trajectory estimation using IMU only,
    International Conference on Control, Automation and Diagnosis (ICCAD), (6 pages), Grenoble, France, November 2021
    DOI
17. Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier,
    Grad Centroid Activation Mapping for Convolutional Neural Networks,
    International Conference on Tools with Artificial Intelligence (ICTAI), (8 pages), Virtual, November 2021
    DOI
18. Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller,
    Ensemble classification of video-recorded crowd movements,
    International Symposium on Image and Signal Processing and Analysis (ISPA), (6 pages), Zagreb, Croatia, September 2021
    DOI
19. Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam and Germain Forestier,
    Time Series Averaging Using Multi-Tasking Autoencoder,
    International Conference on Tools with Artificial Intelligence (ICTAI), (8 pages), Baltimore, USA, November 2020
    DOI
20. Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber and Michel Hassenforder,
    Change Detection on JATS Academic Articles: An XML Diff Comparison Study,
    ACM Symposium on Document Engineering (DocEng), (10 pages), San Diego, USA, September 2020
    
21. Nolwenn Bernard, Jonathan Weber, Germain Forestier, Michel Hassenforder and Bastien Latard,
    Knowledge-Based Categorization of Scientific Articles for Similarity Predictions,
    International Conference on Theory and Practice of Digital Libraries (TPDL), (8 pages), Lyon, France, August 2020
    
22. Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Friedrich Feuerhake, Michel Hassenforder, Pierre-Alain Muller and Germain Forestier,
    Real-time detection of glomeruli in renal pathology,
    IEEE International Symposium on Computer Based Medical Systems (CBMS), (6 pages), Rochester, USA, July 2020
    
23. Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brevilliers and Pierre-Alain Muller,
    Neural Architecture Search for Time Series Classification,
    IEEE International Joint Conference on Neural Networks (IJCNN), (8 pages), Glasgow, UK, July 2020
    
24. Hojjat Rakhshani, Bastien Latard, Mathieu Brevilliers, Jonathan Weber, Julien Lepagnot, Germain Forestier, Michel Hassenforder and Lhassane Idoumghar,
    Automated Machine Learning for Information Retrieval in Scientific Articles,
    IEEE Congress on Evolutionary Computation (CEC), (6 pages), Glasgow, UK, July 2020
    
25. Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski et Germain Forestier,
    Deep constrained clustering applied to remote sensing time series,
    ECML/PKDD Workshop on Machine Learning for Earth Observation data (MACLEAN), (9 pages), Würzburg, Germany, September 2019
    
26. Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar and Pierre-Alain Muller,
    Transfer learning for the classification of video-recorded crowd movements,
    International Symposium on Image and Signal Processing and Analysis (ISPA), (6 pages), Dubrovnik, Croatia, September 2019.
    
27. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Deep Neural Network Ensembles for Time Series Classification,
    IEEE International Joint Conference on Neural Networks (IJCNN), (6 pages), Budapest, Hungary, July 2019
    
28. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Adversarial attacks on deep neural networks for time series classification,
    IEEE International Joint Conference on Neural Networks (IJCNN), (8 pages), Budapest, Hungary, July 2019
    
29. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar and Pierre-Alain Muller,
    Automatic alignment of surgical videos using kinematic data,
    Conference on Artificial Intelligence in Medecine (AIME), (10 pages), Poznan, Poland, June 2019
    
30. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Transfer learning for time series classification,
    IEEE International Conference on Big Data, (8 pages), Seattle, USA, December 2018
    
31. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Evaluating surgical skills from kinematic data using convolutional neural networks,
    Medical Image Computing and Computer Assisted Intervention (MICCAI), (8 pages), Granada, Spain, September 2018
    
32. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Data augmentation using synthetic data for time series classification with deep residual networks,
    ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, (8 pages), Dublin, Ireland, September 2018
    
33. Bastien Latard, Jonathan Weber, Germain Forestier and Michel Hassenforder,
    Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature,
    International Conference on Tools with Artificial Intelligence (ICTAI), (5 pages), Boston, USA, November 2017
    
34. Bastien Latard, Jonathan Weber, Germain Forestier and Michel Hassenforder,
    Towards a Semantic Search Engine for Scientific Articles,
    International Conference on Theory and Practice of Digital Libraries (TPDL), (4 pages), Thessaloniki, Greece, September 2017
    DOI
35. Rachida Es-Salhi, Imane Daoudi, Jonathan Weber, Hamid El Ouardi, Saida Tallal, Hicham Medromi,
    Multi-scale image co-segmentation,
    Advances in Ubiquitous Networking: Proceedings of the UNet'15, Springer Singapore, pp. 381-390 (10 pages), Casablanca, Morocco, September 2015
    DOI
36. Erhan Aptoula, Jonathan Weber, Sébastien Lefèvre,
    Vectorial Quasi-flat Zones for Color Image Simplification,
    International Symposium on Mathematical Morphology (ISMM), Springer-Verlag Lecture Notes in Computer Science, Vol. 7883, pp. 231-242 (12 pages), Uppsala, Sweden, May 2013.
    PDF DOI SLIDES
37. Jonathan Weber, Salvatore Tabbone,
    Symbol spotting for technical documents : An efficient template-Matching approach,
    International Conference on Pattern Recognition (ICPR), 4 pages, Tsukuba, Japan, November 2012.
    PDF URL POSTER
38. Michal Kowalczyk, Bertrand Kerautret, Benoît Naegel, Jonathan Weber,
    Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations,
    International Conference on Computer Vision and Graphics (ICCVG), Springer-Verlag Lecture Notes in Computer Science, Vol. 7594, pp. 475-482 (8 pages), Warsaw, Poland, September 2012.
    PDF DOI POSTER
39. Jonathan Weber, François Petitjean, Pierre Gançarski,
    Towards efficient satellite time series analysis: combination of Dynamic Time Warping and Quasi-Flat Zones,
    IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4387-4390 (4 pages), Munchen, Germany, July 2012.
    PDF DOI POSTER
40. Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski,
    Interactive Video Segmentation based on Quasi-Flat Zones,
    International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 265-270 (6 pages), Dubrovnik, Croatia, September 2011.
    PDF URL SLIDES
41. Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski,
    Spatio-temporal quasi-flat zones for morphological video segmentation,
    International Symposium on Mathematical Morphology (ISMM), Springer-Verlag Lecture Notes in Computer Science, Vol. 6671, pp. 178-189 (12 pages), Intra, Italy, July 2011.
    PDF DOI POSTER
42. Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski,
    Video Object Mining : Issues and Perspectives,
    IEEE International Conference on Semantic Computing (ICSC), pp. 85-90 (6 pages), Pittsburgh, USA, September 2010.
    PDF URL SLIDES
43. Jonathan Weber, Sébastien Lefèvre,
    A multivariate Hit-or-Miss transform for conjoint spatial and spectral template matching,
    IEEE International Conference on Image and Signal Processing (ICISP), Springer-Verlag Lecture Notes in Computer Sciences, Vol. 5099, pp. 226-235 (10 pages), Cherbourg, France, August 2008.
    PDF DOI SLIDES
44. Anne Puissant, Sébastien Lefèvre, Jonathan Weber,
    Coastline extraction in VHR imagery using mathematical morphology with spatial and spectral knowledge,
    International Society for Photogrammetry and Remote Sensing Congress (ISPRS), 6 pages, Beijing, China, July 2008.
    PDF URL
45. Sébastien Lefèvre, Jonathan Weber, David Sheeren,
    Automatic building extraction in VHR images using advanced morphological operators,
    IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN), 5 pages, Paris, France, April 2007.
    PDF DOI

Book Chapters

1. Cédric Wemmert, Jonathan Weber, Friedrich Feuerhake, Germain Forestier,
   Deep Learning for Histopathological Image Analysis,
   Deep Learning for Biomedical Data Analysis, Springer,pp. 153-169 (17 pages), 2021.
   DOI
2. Sébastien Lefèvre, Erhan Aptoula, Benjamin Perret, Jonathan Weber,
   Morphological Template Matching in Color Images,
   Advances in Low-Level Color Image Processing, Springer,pp. 241-277 (37 pages), 2013.
   DOI

Editorial Activities in french

1. Julien Longhi, Jonathan Weber,
   La communication numérique, du code à l'information, L'Harmattan, 2018.
   DOI

Book Chapters in french

1. Jonathan Weber,
   Enseigner l’informatique en DUT MMI : Difficultés et retours d’expérience,
   La communication numérique, du code à l'information, L'Harmattan,pp. 155-177 (23 pages), 2018.
   DOI

Research Articles in National Journals

1. Cédric Wemmert, Jonathan Weber, Germain Forestier,
   Intelligence artificielle et analyse d’images histologiques : Opportunités et challenges,
   Revue française d'histotechnologie, Vol. 32, No. 1, pp. 213-238 (26 pages), 2020.
   DOI
2. David Sheeren, Sébastien Lefèvre, Jonathan Weber,
   La morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS,
   Revue Internationale de Géomatique, numéro thématique "Informations géographiques : structuration, extraction et utilisation", Vol. 17, No. 3-4, pp. 333-352 (20 pages), 2007.
   PDF DOI

Communications to National Conferences and Workshops

1. Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier,
   Génération d’attaques adverses lissées pour des classifieurs de séries temporelles,
   Congrès Reconnaissance des Formes, Image, Apprentissage et Perception, RFIAP 2022, Vannes, France, July 2022.
   
2. Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier,
   Méthodes de classification du cancer du sein pour les microscopes à réalité augmentée,
   Congrès Reconnaissance des Formes, Image, Apprentissage et Perception, RFIAP 2022, Vannes, France, July 2022.
   PDF
3. Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Friedrich Feuerhake, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier,
   Détection en temps réel des glomérules en pathologie rénale,
   Journées francophones des jeunes chercheurs en vision par ordinateur, ORASIS 2021, (8 pages), Saint-Ferréol, France, September 2021.
   
4. Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller,
   Classification ensembliste de vidéos de mouvements de foule,
   Journées francophones des jeunes chercheurs en vision par ordinateur, ORASIS 2021, (9 pages), Saint-Ferréol, France, September 2021.
   
5. Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert,
   Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clustering,
   Atelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), (10 pages), Montpellier, France, September 2021.
   
6. Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier,
   Auto-encodeur multi-tâches pour le calcul de moyennes de séries temporelles,
   Atelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), (15 pages), Montpellier, France, September 2021.
   
7. Jade Pétrault, Julien Longhi, Carine Duteil-Mougel, Matthieu Bach, Jonathan Weber, Arnaud Richard and Didier Tsala-Effa,
   Triche et signalement sur Strava : analyse des stratégies discursives et des positionnements énonciatifs à l’oeuvre dans le contrôle de la performance sportive,
   Colloque Sports, culture matérielle et culture populaire, Besançon, France, September 2020.
   PDF
8. Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski and Germain Forestier,
   Clustering contraint par apprentissage profond appliqué aux séries temporelles d'images satellites,
   Atelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), (10 pages), Bruxelles, Belgium, January 2020.
   
9. Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar and Pierre-Alain Muller,
   Apprentissage par transfert pour la classification de séquences vidéo de mouvements de foule,
   Atelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), (10 pages), Bruxelles, Belgium, January 2020.
   
10. Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar and Pierre-Alain Muller,
    Augmentation de données utilisant des données synthétiques pour la classification de séries temporelles par réseaux profonds résiduels,
    Journées Francophones Extraction et Gestion des Connaissances (EGC), 2 pages, Metz, France, January 2019.
    
11. Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder,
    Catégorisation d’articles scientifiques basée sur les relations sémantiques des mots-clés,
    Journées Francophones Extraction et Gestion des Connaissances (EGC), 2 pages, Paris, France, January 2018.
    
12. Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder,
    Utilisation des relations sémantiques des mots-clés pour la catégorisation d’articles scientifiques,
    Atelier Science des Données et Humanités Numériques (SDHN), Journées Francophones Extraction et Gestion des Connaissances (EGC), 12 pages, Paris, January 2018.
    
13. Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski,
    Segmentation vidéo interactive par zones quasi-plates,
    Colloque GRETSI sur le Traitement du Signal et des Images, 4 pages, Bordeaux, France, September 2011.
    PDF POSTER
14. Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski,
    Zones quasi-plates spatio-temporelles et segmentation morphologique de séquences vidéo,
    Congrès des jeunes chercheurs en vision par ordinateur (ORASIS), 8 pages, Praz-sur-arly, France, June 2011.
    PDF POSTER
15. Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski,
    Fouille vidéo orientée objet, une approche générique,
    Atelier Fouille de données complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC), pp. 9-20 (12 pages), Brest, France, January 2011.
    PDF SLIDES
16. Jonathan Weber, Sébastien Lefèvre, David Sheeren,
    Détection des bâtiments dans les images THRS avec la morphologie mathématique,
    Colloque International de Géomatique et d'Analyse Spatiale (SAGEO), 5 pages, Strasbourg, France, September 2006.
    PDF

Dissertations

1. Jonathan Weber,
   Segmentation morphologique interactive pour la fouille de séquences vidéo,
   PhD dissertation, 155 pages, Université de Strasbourg, France, September 2011.
   PDF SLIDES
2. Jonathan Weber,
   Détection d’objets géographiques du littoral dans des images satellites multispectrales,
   Master dissertation, 60 pages, Université de Strasbourg, France, June 2007.
   PDF SLIDES

Other communications

1. Jonathan Weber, Salvatore Tabbone,
   Localisation de symboles dans des documents techniques,
   Congrès National de la Recherche en IUT (CNRIUT), 1 page, Épinal, France, March 2015.
   PDF SLIDES
2. Rachida Es-Salhi, Imane Daoudi, Hamid El Ouardi, Jonathan Weber,
   Co-segmentation des images : État de l’art,
   Journées Doctorales en Technologies de l’Information et de la Communication (JDTIC), Rabat, Morocco, March 2014
   
3. Jonathan Weber, Sébastien Lefèvre, David Sheeren,
   Extraction automatique de bâtiments dans des images satellites THRS en utilisant des opérateurs de Morphologie Mathématique,
   Atelier du Programme de Télédétection Spatiale (PNTS), 1 page, Nantes, France, September 2007.
   PDF