Janek Groß

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 14

Top Topics

Image Quality Metrics

Dempster Shafer Evidence Theory

Tree Reweighted

Top Venues

SAFECOMP Workshops

Publications

João-Vitor Zacchi, Francesco Carella, Priyank Upadhya, Shanza Ali Zafar, John Molloy, Lisa Jöckel, Janek Groß, Núria Mata, Nguyen Anh Vu Doan
Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics. MCSoC (2023)
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber
Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning? SAFECOMP Workshops (2023)
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning. DSN-W (2023)
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. PROFES (1) (2023)
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning. CoRR (2023)
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. CoRR (2023)
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception. SAFECOMP (2022)
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception. CoRR (2022)
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts. CoRR (2021)
Michael Klaes, Rasmus Adler, Lisa Jöckel, Janek Groß, Jan Reich
Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components. AISafety@IJCAI (2021)
Julien Siebert, Janek Groß, Christof Schroth
A systematic review of Python packages for time series analysis. CoRR (2021)
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
Towards a Common Testing Terminology for Software Engineering and Data Science Experts. PROFES (2021)
Johannes Klicpera, Janek Groß, Stephan Günnemann
Directional Message Passing for Molecular Graphs. CoRR (2020)
Johannes Klicpera, Janek Groß, Stephan Günnemann
Directional Message Passing for Molecular Graphs. ICLR (2020)