Frank-Peter Schilling

According to our database, Frank-Peter Schilling authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review.

Mohammadreza Amirian, Daniel Barco, Ivo Herzig, Frank-Peter Schilling

IEEE Access, 2024

Towards the Certification of AI-based Systems.

Philipp Denzel, Stefan Brunner, Yann Billeter, Oliver Forster, Carmen Frischknecht-Gruber, Monika Reif, Frank-Peter Schilling, Joanna Weng, Ricardo Chavarriaga, Amin Amini, Marco Repetto, Arman Iranfar

Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

MLOps as Enabler of Trustworthy AI.

Yann Billeter, Philipp Denzel, Ricardo Chavarriaga, Oliver Forster, Frank-Peter Schilling, Stefan Brunner, Carmen Frischknecht-Gruber, Monika Reif, Joanna Weng

Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

2021

A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications.

Niclas Simmler, Pascal Sager, Philipp Andermatt, Ricardo Chavarriaga, Frank-Peter Schilling, Matthias Rosenthal, Thilo Stadelmann

Proceedings of the 8th Swiss Conference on Data Science, 2021

2020

Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness.

Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann

Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020