Christoph Jansen

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 36

Top Topics

Robust Statistical

Stochastic Dominance

Machine Learning Algorithms

Decision Making

Top Venues

Int. J. Approx. Reason.

Future Gener. Comput. Syst.

Publications

Norman Zerbe, Lars Ole Schwen, Christian Geißler, Katja Wiesemann, Tom Bisson, Peter Boor, Rita Carvalho, Michael Franz, Christoph Jansen, Tim-Rasmus Kiehl, Björn Lindequist, Nora Charlotte Pohlan, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative. CoRR (2024)
Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
Comparing machine learning algorithms by union-free generic depth. Int. J. Approx. Reason. 169 (2024)
Stefan Dietrich, Julian Rodemann, Christoph Jansen
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision. CoRR (2024)
Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
Statistical Multicriteria Benchmarking via the GSD-Front. CoRR (2024)
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
Robust statistical comparison of random variables with locally varying scale of measurement. UAI (2023)
Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
Depth functions for partial orders with a descriptive analysis of machine learning algorithms. ISIPTA (2023)
Christoph Jansen, Björn Lindequist, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Michael Franz, Lars Ole Schwen, Theodore Evans, André Homeyer, Norman Zerbe
The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures. Future Gener. Comput. Syst. 140 (2023)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI (2023)
Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
Comparing Machine Learning Algorithms by Union-Free Generic Depth. CoRR (2023)
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
In all likelihoods: robust selection of pseudo-labeled data. ISIPTA (2023)
Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms. CoRR (2023)
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. CoRR (2023)
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR (2023)
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. 24 (2023)
Christoph Jansen, Thomas Augustin
Decision Making with State-Dependent Preference Systems. IPMU (1) (2022)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR (2022)
Christoph Jansen, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Björn Lindequist, Michael Franz, André Homeyer, Norman Zerbe
The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures. CCGRID (2022)
Daniel Romberg, Klaus Strohmenger, Christoph Jansen, Tobias Küster, Nick Weiss, Christian Geißler, Tomasz Soltysinski, Michael Takla, Peter Hufnagl, Norman Zerbe, André Homeyer
EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology. Comput. Methods Programs Biomed. 215 (2022)
Tom Bisson, Michael Franz, Isil Dogan O, Daniel Romberg, Christoph Jansen, Peter Hufnagl, Norman Zerbe
Anonymization of Whole Slide Images in Histopathology for Research and Education. CoRR (2022)
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR (2022)
Hannah Blocher, Georg Schollmeyer, Christoph Jansen
Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis. IPMU (2) (2022)
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. Int. J. Approx. Reason. 144 (2022)
Sebastian Gajek, Michael Lees, Christoph Jansen
IIoT and cyber-resilience. AI Soc. 36 (3) (2021)
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. CoRR (2021)
Christoph Jansen, Jonas Annuscheit, Bruno Schilling, Klaus Strohmenger, Michael Witt, Felix Bartusch, Christian Herta, Peter Hufnagl, Dagmar Krefting
Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications. Future Gener. Comput. Syst. 112 (2020)
Christoph Jansen, Bruno Schilling, Klaus Strohmenger, Michael Witt, Jonas Annuscheit, Dagmar Krefting
Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images. CCGRID (2019)
Christoph Jansen, Sabina Jeschke
Mitigating risks of digitalization through managed industrial security services. AI Soc. 33 (2) (2018)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. 96 (2018)
Michael Witt, Christoph Jansen, Dagmar Krefting, Achim Streit
Sandboxing of biomedical applications in Linux containers based on system call evaluation. Concurr. Comput. Pract. Exp. 30 (12) (2018)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences. Int. J. Approx. Reason. 98 (2018)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA (2017)
Michael Witt, Christoph Jansen, Dagmar Krefting, Achim Streit
Fine-grained Supervision and Restriction of Biomedical Applications in Linux Containers. CCGrid (2017)
Christoph Jansen, Maximilian Beier, Michael Witt, Sonja Frey, Dagmar Krefting
Towards Reproducible Research in a Biomedical Collaboration Platform following the FAIR Guiding Principles. UCC (Companion") (2017)
Christoph Jansen, Thomas Augustin, Georg Schollmeyer
Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU (2017)
Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Michael Witt, Jie Wu, Dagmar Krefting
Multicenter data sharing for collaboration in sleep medicine. Future Gener. Comput. Syst. 67 (2017)
Christoph Jansen, Michael Witt, Dagmar Krefting
Employing Docker Swarm on OpenStack for Biomedical Analysis. ICCSA (2) (2016)
Christoph Jansen, Maximilian Beier, Michael Witt, Jie Wu, Dagmar Krefting
Extending XNAT towards a Cloud-based Quality Assessment Platform for Retinal Optical Coherence Tomographies. Scalable Comput. Pract. Exp. 16 (1) (2015)
Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Jie Wu, Dagmar Krefting
Multicenter Data Sharing for Collaboration in Sleep Medicine. CCGRID (2015)
Christoph Jansen, Radek Mackowiak, Nico Hezel, Moritz Ufer, Gregor Altstadt, Kai Uwe Barthel
Reconstructing Missing Areas in Facial Images. ISM (2015)
Jie Wu, Christoph Jansen, Maximilian Beier, Michael Witt, Dagmar Krefting
Extending XNAT towards a Cloud-Based Quality Assessment Platform for Retinal Optical Coherence Tomographies. CCGRID (2014)
Christoph Jansen
The Minimal Degrees of Faithful Representations of the Sporadic Simple Groups and their Covering Groups. LMS J. Comput. Math. 8 (2005)