Jonathan Weber
Orcid: 0000-0002-3694-4703
According to our database1,
Jonathan Weber
authored at least 68 papers
between 2007 and 2024.
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Bibliography
2024
Correction: Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst., February, 2024
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics.
CoRR, 2024
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024
2023
Knowl. Inf. Syst., November, 2023
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.
Remote. Sens., January, 2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR, 2023
Mortar Trajectory Estimation by a Deep Error-State Kalman Filter in a GNSS-Denied Environment.
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.
Proceedings of the Joint Urban Remote Sensing Event, 2023
Proceedings of the 6th International Conference on Information and Computer Technologies, 2023
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
Softw. Pract. Exp., 2022
End-to-end deep representation learning for time series clustering: a comparative study.
Data Min. Knowl. Discov., 2022
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation.
Artif. Intell. Medicine, 2022
Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers.
Proceedings of the Reproducible Research in Pattern Recognition, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Incremental constrained clustering with application to remote sensing images time series.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022
2021
Comput. Biol. Medicine, 2021
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021
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.
Proceedings of the 9th International Conference on Systems and Control, 2021
CNN-based Invariant Extended Kalman Filter for projectile trajectory estimation using IMU only.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2021
2020
Data Min. Knowl. Discov., 2020
Artif. Intell. Rev., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Proceedings of the Digital Libraries for Open Knowledge, 2020
Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
Data Min. Knowl. Discov., 2019
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2019
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
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
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.
Proceedings of the Extraction et Gestion des connaissances, 2019
Proceedings of the Artificial Intelligence in Medicine, 2019
2018
Data augmentation using synthetic data for time series classification with deep residual networks.
CoRR, 2018
Artif. Intell. Medicine, 2018
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.
Proceedings of the Extraction et Gestion des Connaissances, 2018
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.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
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.
IEEE Trans. Image Process., 2015
Proceedings of the Advances in Ubiquitous Networking, 2015
2014
IEEE Geosci. Remote. Sens. Lett., 2014
2013
J. Vis. Commun. Image Represent., 2013
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013
2012
Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations.
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).
PhD thesis, 2011
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
2010
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.
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.
Rev. Int. Géomatique, 2007