Jérôme Extermann

According to our database, Jérôme Extermann authored at least 4 papers between 2020 and 2023.

Collaborative distances:

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

2023

Data Models for Dataset Drift Controls in Machine Learning With Optical Images.

Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

Trans. Mach. Learn. Res., 2023

2022

Dataset provided with "Artifacts in Optical Projection Tomography Due to Refractive-Index Mismatch: Model and Correction".

Yan Liu, Jonathan Dong, Cédric Schmidt, Aleix Boquet-Pujadas, Jérôme Extermann, Michael Unser

Dataset, February, 2022

Data Models for Dataset Drift Controls in Machine Learning With Images.

Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

CoRR, 2022

2020

Quantifying the effect of image compression on supervised learning applications in optical microscopy.

Enrico Pomarico, Cédric Schmidt, Florian Chays, David Nguyen, Arielle Planchette, Audrey Tissot, Adrien Roux, Stéphane Pagès, Laura Batti, Christoph Clausen, Theo Lasser, Aleksandra Radenovic, Bruno Sanguinetti, Jérôme Extermann

CoRR, 2020