Pierre Blanchart

According to our database, Pierre Blanchart authored at least 20 papers between 2009 and 2022.

Collaborative distances:

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

2022

Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance.

Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova

CoRR, 2022

Why is the prediction wrong? Towards underfitting case explanation via meta-classification.

Sheng Zhou, Pierre Blanchart, Michel Crucianu, Marin Ferecatu

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Deep Learning for ECoG Brain-Computer Interface: End-to-End vs. Hand-Crafted Features.

Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2021

Decoding ECoG signal into 3D hand translation using deep learning.

Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova

CoRR, 2021

An exact counterfactual-example-based approach to tree-ensemble models interpretability.

Pierre Blanchart

CoRR, 2021

2020

Deep online classification using pseudo-generative models.

Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu

Comput. Vis. Image Underst., 2020

2018

Deep Online Storage-Free Learning on Unordered Image Streams.

Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu

Proceedings of the ECML PKDD 2018 Workshops, 2018

Privacy-Preserving Tax Calculations in Smart Cities by Means of Inner-Product Functional Encryption.

Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler, Pierre Blanchart, Amira Ben Hamida, Mohamed-Haykel Zayani

Proceedings of the 2nd Cyber Security in Networking Conference, 2018

2017

WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis.

Pierre Blanchart, Cédric Gouy-Pailler

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Evolutive Deep Models for Online Learning on Datastreams with no Storage.

Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu

Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

2015

Local integrity constraints for structure detection and segmentation in high-resolution earth observation images.

Pierre Blanchart, Marin Ferecatu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series.

Pierre Blanchart, Marine Depecker

IEEE Trans. Neural Networks Learn. Syst., 2014

Pattern Retrieval in Large Image Databases Using Multiscale Coarse-to-Fine Cascaded Active Learning.

Pierre Blanchart, Marin Ferecatu, Shiyong Cui, Mihai Datcu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2012

Cascade active learning for SAR image annotation.

Shiyong Cui, Mihai Datcu, Pierre Blanchart

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

2011

Mining large satellite image repositories using semi-supervised methods.

Pierre Blanchart, Marin Ferecatu, Mihai Datcu

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Cascaded active learning for object retrieval using multiscale coarse to fine analysis.

Pierre Blanchart, Marin Ferecatu, Mihai Datcu

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Active learning using the data distribution for interactive image classification and retrieval.

Pierre Blanchart, Marin Ferecatu, Mihai Datcu

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

A Semi-Supervised Algorithm for Auto-Annotation and Unknown Structures Discovery in Satellite Image Databases.

Pierre Blanchart, Mihai Datcu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2010

2009

Semi-supervised Learning and Discovery of unkown Structures among Data: Application to Satellite Image Annotation.

Pierre Blanchart, Mihai Datcu

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Information fusion for indoor localization.

Pierre Blanchart, Liyun He, François Le Gland

Proceedings of the 12th International Conference on Information Fusion, 2009