Hugues Turbé

According to our database, Hugues Turbé authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Revisiting the robustness of post-hoc interpretability methods.

Jiawen Wei, Hugues Turbé, Gianmarco Mengaldo

CoRR, 2024

ProtoS-ViT: Visual foundation models for sparse self-explainable classifications.

Hugues Turbé, Mina Bjelogrlic, Gianmarco Mengaldo, Christian Lovis

CoRR, 2024

Efficient Clinical Information Extraction from Breast Radiology Reports in French.

Jamil Zaghir, Belinda Lokaj, Karen Kinkel, Amal-Dahila Djema, Hugues Turbé, Mina Bjelogrlic, Valentin Durand de Gevigney, Jérôme Schmid, Christian Lovis, Jean-Philippe Goldman

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

A Novel Method and Python Library for ECG Signal Quality Assessment.

Charles Berger, Hugues Turbé, Mina Bjelogrlic, Christian Lovis

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

Evaluation of post-hoc interpretability methods in time-series classification.

Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo

Nat. Mac. Intell., March, 2023

2022

InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification.

Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo

CoRR, 2022

Performance of Machine Learning Methods to Classify French Medical Publications.

Jamil Zaghir, Jean-Philippe Goldman, Mina Bjelogrlic, Daniel Keszthelyi, Christophe Gaudet-Blavignac, Hugues Turbé, Belinda Lokaj, Christian Lovis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

A Lightweight and Interpretable Model to Classify Bundle Branch Blocks from ECG Signals.

Hugues Turbé, Mina Bjelogrlic, Mehdi Namdar, Christophe Gaudet-Blavignac, Jamil Zaghir, Jean-Philippe Goldman, Belinda Lokaj, Christian Lovis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Classification of Oncology Treatment Responses from French Radiology Reports with Supervised Machine Learning.

Jean-Philippe Goldman, Luc Mottin, Jamil Zaghir, Daniel Keszthelyi, Belinda Lokaj, Hugues Turbé, Julien Gobeill, Patrick Ruch, Julien Ehrsam, Christian Lovis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Deep SNOMED CT Enabled Large Clinical Database About COVID-19.

Christophe Gaudet-Blavignac, Julien Ehrsam, Hugues Turbé, Daniel Keszthelyi, Jamil Zaghir, Christian Lovis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2020

Communicating on Multivariate and Geospatial Data supported by ergonomics criteria: COVID-19 case.

Hugues Turbé, Victor Garretas Ruiz, Mina Bjelogrlic, Jessica Rochat, Christian Lovis

Proceedings of the 2020 Workshop on Visual Analytics in Healthcare, 2020