Jonathan Weber

According to our database, Jonathan Weber authored at least 70 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., February, 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

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

CoRR, 2024

Finding Foundation Models for Time Series Classification with a PreText Task.

Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 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

Proceedings of the Extraction et Gestion des Connaissances, 2024

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., November, 2023

LSTM-Based Projectile Trajectory Estimation in a GNSS-Denied Environment.

Alicia Roux, Sébastien Changey, Jonathan Weber, Jean-Philippe Lauffenburger

Sensors, March, 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., January, 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

Mortar Trajectory Estimation by a Deep Error-State Kalman Filter in a GNSS-Denied Environment.

Alicia Roux, Sébastien Changey, Jean-Philippe Lauffenburger, Jonathan Weber

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 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

Proceedings of the Joint Urban Remote Sensing Event, 2023

Named Entity Recognition for peer-review disambiguation in academic publishing.

Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder

Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

Enhancing Time Series Classification with Self-Supervised Learning.

Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

LITE: Light Inception with boosTing tEchniques for Time Series Classification.

Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 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

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

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

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

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

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

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

Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders.

Ilias Rmouque, Maxime Devanne, Jonathan Weber, Germain Forestier, Cédric Wemmert

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers.

Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder

Proceedings of the Reproducible Research in Pattern Recognition, 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification.

Emel Ay, Maxime Devanne, Jonathan Weber, Germain Forestier

Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Clustering Methods Study Applied to Satellite Images Time Series.

Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Incremental constrained clustering with application to remote sensing images time series.

Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.

Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier

Proceedings of the IEEE International Conference on Big Data, 2022

Data Augmentation for Time Series Classification with Deep Learning Models.

Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

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

Ensemble classification of video-recorded crowd movements.

Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

Grad Centroid Activation Mapping for Convolutional Neural Networks.

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 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

Proceedings of the 9th International Conference on Systems and Control, 2021

CNN-based Invariant Extended Kalman Filter for projectile trajectory estimation using IMU only.

Alicia Roux, Sébastien Changey, Jonathan Weber, Jean-Philippe Lauffenburger

Proceedings of the International Conference on Control, Automation and Diagnosis, 2021

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

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

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Time Series Averaging Using Multi-Tasking Autoencoder.

Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Knowledge-Based Categorization of Scientific Articles for Similarity Predictions.

Nolwenn Bernard, Jonathan Weber, Germain Forestier, Michel Hassenforder, Bastien Latard

Proceedings of the Digital Libraries for Open Knowledge, 2020

Change Detection on JATS Academic Articles: An XML Diff Comparison Study.

Milos Cuculovic, Frédéric Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder

Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Real-Time Detection of Glomeruli in Renal Pathology.

Robin Heckenauer, Jonathan Weber, Cédric Wemmert, Friedrich Feuerhake, Michel Hassenforder, Pierre-Alain Muller, Germain Forestier

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

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

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 Constrained Clustering applied to Satellite Image Time Series.

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

Transfer learning for the classification of video-recorded crowd movements.

Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Adversarial Attacks on Deep Neural Networks for Time Series Classification.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Neural Network Ensembles for Time Series Classification.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Extraction et Gestion des connaissances, 2019

Automatic Alignment of Surgical Videos Using Kinematic Data.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the Artificial Intelligence in Medicine, 2019

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

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

Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clés.

Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder

Proceedings of the Extraction et Gestion des Connaissances, 2018

Transfer learning for time series classification.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature.

Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Towards a Semantic Search Engine for Scientific Articles.

Bastien Latard, Jonathan Weber, Germain Forestier, Michel Hassenforder

Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

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

Multi-scale Image Co-segmentation.

Rachida Es-salhi, Imane Daoudi, Jonathan Weber, Hamid El Ouardi, Saida Tallal, Hicham Medromi

Proceedings of the Advances in Ubiquitous Networking, 2015

2014

Efficient Satellite Image Time Series Analysis Under Time Warping.

François Petitjean, Jonathan Weber

IEEE Geosci. Remote. Sens. Lett., 2014

2013

Fast quasi-flat zones filtering using area threshold and region merging.

Jonathan Weber, Sébastien Lefèvre

J. Vis. Commun. Image Represent., 2013

Vectorial Quasi-flat Zones for Color Image Simplification.

Erhan Aptoula, Jonathan Weber, Sébastien Lefèvre

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

2012

Spatial and spectral morphological template matching.

Jonathan Weber, Sébastien Lefèvre

Image Vis. Comput., 2012

Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones.

Jonathan Weber, François Petitjean, Pierre Gançarski

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Symbol spotting for technical documents: An efficient template-matching approach.

Jonathan Weber, Salvatore Tabbone

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations.

Michal Kazimierz Kowalczyk, Bertrand Kerautret, Benoît Naegel, Jonathan Weber

Proceedings of the Computer Vision and Graphics - International Conference, 2012

2011

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

Jonathan Weber

PhD thesis, 2011

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation.

Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski

Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

Interactive video segmentation based on quasi-flat zones.

Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski

Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

2010

Video Object Mining: Issues and Perspectives.

Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski

Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

2008

A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching.

Jonathan Weber, Sébastien Lefèvre

Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

2007

La morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS.

David Sheeren, Sébastien Lefèvre, Jonathan Weber

Rev. Int. Géomatique, 2007