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Jonathan Weber
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2020 – today
- 2024
- [j18]Tsegamlak Terefe Debella, Maxime Devanne, Jonathan Weber, Dereje Hailemariam Woldegebreal, Germain Forestier:
Correction: Estimating time series averages from latent space of multi-tasking neural networks. Knowl. Inf. Syst. 66(2): 1521 (2024) - [c46]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Finding Foundation Models for Time Series Classification with a PreText Task. PAKDD (Workshops) 2024: 123-135 - [i14]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics. CoRR abs/2405.07680 (2024) - 2023
- [j17]Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Estimating time series averages from latent space of multi-tasking neural networks. Knowl. Inf. Syst. 65(11): 4967-5004 (2023) - [j16]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. Sens. 15(1): 151 (2023) - [j15]Alicia Roux, Sébastien Changey, Jonathan Weber, Jean-Philippe Lauffenburger:
LSTM-Based Projectile Trajectory Estimation in a GNSS-Denied Environment. Sensors 23(6): 3025 (2023) - [c45]Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier:
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging. AALTD@ECML/PKDD 2023: 127-142 - [c44]Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier:
Comparison of deep learning architectures for colon cancer mutation detection. CBMS 2023: 360-365 - [c43]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
LITE: Light Inception with boosTing tEchniques for Time Series Classification. DSAA 2023: 1-10 - [c42]Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Enhancing Time Series Classification with Self-Supervised Learning. ICAART (3) 2023: 40-47 - [c41]Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Named Entity Recognition for peer-review disambiguation in academic publishing. ICICT 2023: 105-114 - [c40]Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier:
Exploring inference of a land use and land cover model trained on MultiSenGE dataset. JURSE 2023: 1-4 - [c39]Alicia Roux, Sébastien Changey, Jean-Philippe Lauffenburger, Jonathan Weber:
Mortar Trajectory Estimation by a Deep Error-State Kalman Filter in a GNSS-Denied Environment. PLANS 2023: 119-127 - [i13]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:
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set. CoRR abs/2305.11921 (2023) - [i12]Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier:
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging. CoRR abs/2309.16353 (2023) - [i11]Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
Finding Foundation Models for Time Series Classification with a PreText Task. CoRR abs/2311.14534 (2023) - 2022
- [j14]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. Artif. Intell. Medicine 133: 102407 (2022) - [j13]Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
End-to-end deep representation learning for time series clustering: a comparative study. Data Min. Knowl. Discov. 36(1): 29-81 (2022) - [j12]Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Semantics to the rescue of document-based XML diff: A JATS case study. Softw. Pract. Exp. 52(6): 1496-1516 (2022) - [c38]Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier:
Data Augmentation for Time Series Classification with Deep Learning Models. AALTD@ECML/PKDD 2022: 117-132 - [c37]Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. IEEE Big Data 2022: 972-981 - [c36]Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier:
Incremental constrained clustering with application to remote sensing images time series. ICDM (Workshops) 2022: 814-823 - [c35]Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier:
Deep Clustering Methods Study Applied to Satellite Images Time Series. IGARSS 2022: 195-198 - [c34]Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier:
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification. IJCNN 2022: 1-8 - [c33]Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) 2022: 485-496 - [c32]Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers. RRPR 2022: 25-39 - [c31]Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert:
Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders. VISIGRAPP (4: VISAPP) 2022: 933-940 - 2021
- [j11]Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Derangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert:
Deep learning for colon cancer histopathological images analysis. Comput. Biol. Medicine 136: 104730 (2021) - [c30]Alicia Roux, Sébastien Changey, Jonathan Weber, Jean-Philippe Lauffenburger:
CNN-based Invariant Extended Kalman Filter for projectile trajectory estimation using IMU only. ICCAD 2021: 1-6 - [c29]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. ICSC 2021: 274-281 - [c28]Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
Grad Centroid Activation Mapping for Convolutional Neural Networks. ICTAI 2021: 184-191 - [c27]Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller:
Ensemble classification of video-recorded crowd movements. ISPA 2021: 152-158 - 2020
- [j10]Vinh-Trung Luu, Germain Forestier, Jonathan Weber, Paul Bourgeois, Fahima Djelil, Pierre-Alain Muller:
A review of alignment based similarity measures for web usage mining. Artif. Intell. Rev. 53(3): 1529-1551 (2020) - [j9]Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean:
InceptionTime: Finding AlexNet for time series classification. Data Min. Knowl. Discov. 34(6): 1936-1962 (2020) - [c26]Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Friedrich Feuerhake, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier:
Real-Time Detection of Glomeruli in Renal Pathology. CBMS 2020: 350-355 - [c25]Hojjat Rakhshani, Bastien Latard, Mathieu Brévilliers, Jonathan Weber, Julien Lepagnot, Germain Forestier, Michel Hassenforder, Lhassane Idoumghar:
Automated Machine Learning for Information Retrieval in Scientific Articles. CEC 2020: 1-7 - [c24]Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder:
Change Detection on JATS Academic Articles: An XML Diff Comparison Study. DocEng 2020: 5:1-5:10 - [c23]Nolwenn Bernard, Jonathan Weber, Germain Forestier, Michel Hassenforder, Bastien Latard:
Knowledge-Based Categorization of Scientific Articles for Similarity Predictions. TPDL 2020: 147-160 - [c22]Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Time Series Averaging Using Multi-Tasking Autoencoder. ICTAI 2020: 1065-1072 - [c21]Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brévilliers, Pierre-Alain Muller:
Neural Architecture Search for Time Series Classification. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j8]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1611-1617 (2019) - [j7]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep learning for time series classification: a review. Data Min. Knowl. Discov. 33(4): 917-963 (2019) - [c20]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller:
Automatic Alignment of Surgical Videos Using Kinematic Data. AIME 2019: 104-113 - [c19]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels. EGC 2019: 375-376 - [c18]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep Neural Network Ensembles for Time Series Classification. IJCNN 2019: 1-6 - [c17]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Adversarial Attacks on Deep Neural Networks for Time Series Classification. IJCNN 2019: 1-8 - [c16]Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller:
Transfer learning for the classification of video-recorded crowd movements. ISPA 2019: 271-276 - [c15]Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
Deep Constrained Clustering applied to Satellite Image Time Series. MACLEAN@PKDD/ECML 2019 - [i10]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep Neural Network Ensembles for Time Series Classification. CoRR abs/1903.06602 (2019) - [i9]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Adversarial Attacks on Deep Neural Networks for Time Series Classification. CoRR abs/1903.07054 (2019) - [i8]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller:
Automatic alignment of surgical videos using kinematic data. CoRR abs/1904.07302 (2019) - [i7]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks. CoRR abs/1908.07319 (2019) - [i6]Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean:
InceptionTime: Finding AlexNet for Time Series Classification. CoRR abs/1909.04939 (2019) - 2018
- [j6]Germain Forestier, François Petitjean, Pavel Senin, Fabien Despinoy, Arnaud Huaulmé, Hassan Ismail Fawaz, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Pierre Jannin:
Surgical motion analysis using discriminative interpretable patterns. Artif. Intell. Medicine 91: 3-11 (2018) - [c14]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Transfer learning for time series classification. IEEE BigData 2018: 1367-1376 - [c13]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clés. EGC 2018: 371-372 - [c12]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks. MICCAI (4) 2018: 214-221 - [i5]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Evaluating surgical skills from kinematic data using convolutional neural networks. CoRR abs/1806.02750 (2018) - [i4]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Data augmentation using synthetic data for time series classification with deep residual networks. CoRR abs/1808.02455 (2018) - [i3]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep learning for time series classification: a review. CoRR abs/1809.04356 (2018) - [i2]Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Transfer learning for time series classification. CoRR abs/1811.01533 (2018) - 2017
- [c11]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Towards a Semantic Search Engine for Scientific Articles. TPDL 2017: 608-611 - [c10]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature. ICTAI 2017: 260-264 - [i1]Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder:
Towards a Semantic Search Engine for Scientific Articles. CoRR abs/1709.09836 (2017) - 2015
- [j5]Manuel Grand-Brochier, Antoine Vacavant, Guillaume Cerutti, Camille Kurtz, Jonathan Weber, Laure Tougne:
Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods. IEEE Trans. Image Process. 24(5): 1549-1560 (2015) - [c9]Rachida Es-salhi, Imane Daoudi, Jonathan Weber, Hamid El Ouardi, Saida Tallal, Hicham Medromi:
Multi-scale Image Co-segmentation. UNet 2015: 381-390 - 2014
- [j4]François Petitjean, Jonathan Weber:
Efficient Satellite Image Time Series Analysis Under Time Warping. IEEE Geosci. Remote. Sens. Lett. 11(6): 1143-1147 (2014) - 2013
- [j3]Jonathan Weber, Sébastien Lefèvre:
Fast quasi-flat zones filtering using area threshold and region merging. J. Vis. Commun. Image Represent. 24(3): 397-409 (2013) - [c8]Erhan Aptoula, Jonathan Weber, Sébastien Lefèvre:
Vectorial Quasi-flat Zones for Color Image Simplification. ISMM 2013: 231-242 - 2012
- [j2]Jonathan Weber, Sébastien Lefèvre:
Spatial and spectral morphological template matching. Image Vis. Comput. 30(12): 934-945 (2012) - [c7]Michal Kazimierz Kowalczyk, Bertrand Kerautret, Benoît Naegel, Jonathan Weber:
Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations. ICCVG 2012: 475-482 - [c6]Jonathan Weber, Salvatore Tabbone:
Symbol spotting for technical documents: An efficient template-matching approach. ICPR 2012: 669-672 - [c5]Jonathan Weber, François Petitjean, Pierre Gançarski:
Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones. IGARSS 2012: 4387-4390 - 2011
- [b1]Jonathan Weber:
Segmentation morphologique interactive pour la fouille de séquences vidéo. (Interactive morphological segmentation for video mining). University of Strasbourg, France, 2011 - [c4]Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski:
Interactive video segmentation based on quasi-flat zones. ISPA 2011: 265-270 - [c3]Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski:
Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation. ISMM 2011: 178-189 - 2010
- [c2]Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski:
Video Object Mining: Issues and Perspectives. ICSC 2010: 85-90
2000 – 2009
- 2008
- [c1]Jonathan Weber, Sébastien Lefèvre:
A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching. ICISP 2008: 226-235 - 2007
- [j1]David Sheeren, Sébastien Lefèvre, Jonathan Weber:
La morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS. Rev. Int. Géomatique 17(3-4): 333-352 (2007)
Coauthor Index
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