Jonathan Weber

Orcid: 0000-0002-3694-4703

According to our database1, Jonathan Weber authored at least 67 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Correction: Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst., February, 2024

2023
Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst., November, 2023

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

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

Named Entity Recognition for peer-review disambiguation in academic publishing.
Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

Enhancing Time Series Classification with Self-Supervised Learning.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

LITE: Light Inception with boosTing tEchniques for Time Series Classification.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Comparison of deep learning architectures for colon cancer mutation detection.
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
Semantics to the rescue of document-based XML diff: A JATS case study.
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

Smooth Perturbations for Time Series Adversarial Attacks.
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

Deep Clustering Methods Study Applied to Satellite Images Time Series.
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

Data Augmentation for Time Series Classification with Deep Learning Models.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021
Deep learning for colon cancer histopathological images analysis.
Comput. Biol. Medicine, 2021

Ensemble classification of video-recorded crowd movements.
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

Grad Centroid Activation Mapping for Convolutional Neural Networks.
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
InceptionTime: Finding AlexNet for time series classification.
Data Min. Knowl. Discov., 2020

A review of alignment based similarity measures for web usage mining.
Artif. Intell. Rev., 2020

Neural Architecture Search for Time Series Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Time Series Averaging Using Multi-Tasking Autoencoder.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Knowledge-Based Categorization of Scientific Articles for Similarity Predictions.
Proceedings of the Digital Libraries for Open Knowledge, 2020

Change Detection on JATS Academic Articles: An XML Diff Comparison Study.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Real-Time Detection of Glomeruli in Renal Pathology.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Deep learning for time series classification: a review.
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

Deep Constrained Clustering applied to Satellite Image Time Series.
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.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Adversarial Attacks on Deep Neural Networks for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Neural Network Ensembles for Time Series Classification.
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

Automatic Alignment of Surgical Videos Using Kinematic Data.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
Data augmentation using synthetic data for time series classification with deep residual networks.
CoRR, 2018

Surgical motion analysis using discriminative interpretable patterns.
Artif. Intell. Medicine, 2018

Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks.
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

Transfer learning for time series classification.
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

Towards a Semantic Search Engine for Scientific Articles.
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

Multi-scale Image Co-segmentation.
Proceedings of the Advances in Ubiquitous Networking, 2015

2014
Efficient Satellite Image Time Series Analysis Under Time Warping.
IEEE Geosci. Remote. Sens. Lett., 2014

2013
Fast quasi-flat zones filtering using area threshold and region merging.
J. Vis. Commun. Image Represent., 2013

Vectorial Quasi-flat Zones for Color Image Simplification.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

2012
Spatial and spectral morphological template matching.
Image Vis. Comput., 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

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

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation.
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

Interactive video segmentation based on quasi-flat zones.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

2010
Video Object Mining: Issues and Perspectives.
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


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