Christoph Jansen

51 papers A* 2A 1B 6C 3Journal 32Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Arrow: From Impossibility to Possibilities in Multi-Criteria Benchmarking.
CoRR
Polina Gordienko, Christoph Jansen, Julian Rodemann, Georg Schollmeyer
2025 J jnl
A Statistical Case Against Empirical Human-AI Alignment.
CoRR
Julian Rodemann, Esteban Garces Arias, Christoph Luther, Christoph Jansen, Thomas Augustin
2025 C conf
Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation.
ECSQARU
Polina Gordienko, Christoph Jansen, Thomas Augustin, Martin Rechenauer
2025 J jnl
Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation.
CoRR
Polina Gordienko, Christoph Jansen, Thomas Augustin, Martin Rechenauer
2025 J jnl
Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information.
CoRR
Christoph Jansen
2025 J jnl
Statistical Multicriteria Evaluation of LLM-Generated Text.
CoRR
Esteban Garces Arias, Hannah Blocher, Julian Rodemann, Matthias Aßenmacher, Christoph Jansen
2024 J jnl
A systematic review and meta analysis on digital mental health interventions in inpatient settings.
npj Digit. Medicine
Alexander Diel, Isabel Carolin Schröter, Anna-Lena Frewer, Christoph Jansen, Anita Robitzsch, Gertraud Gradl-Dietsch, Martin Teufel, Alexander Bäuerle
2024 J jnl
Comparing machine learning algorithms by union-free generic depth.
Int. J. Approx. Reason.
Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
2024 J jnl
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative.
CoRR
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
2024 A* conf
Reciprocal Learning.
NeurIPS
Julian Rodemann, Christoph Jansen, Georg Schollmeyer
2024 J jnl
Reciprocal Learning.
CoRR
Julian Rodemann, Christoph Jansen, Georg Schollmeyer
2024 J jnl
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision.
CoRR
Stefan Dietrich, Julian Rodemann, Christoph Jansen
2024 A* conf
Statistical Multicriteria Benchmarking via the GSD-Front.
NeurIPS
Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
2024 J jnl
Statistical Multicriteria Benchmarking via the GSD-Front.
CoRR
Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
2023 J jnl
Comparing Machine Learning Algorithms by Union-Free Generic Depth.
CoRR
Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
2023 J jnl
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms.
CoRR
Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
2023 — conf
Depth functions for partial orders with a descriptive analysis of machine learning algorithms.
ISIPTA
Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
2023 J jnl
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning.
CoRR
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023 — conf
In all likelihoods: robust selection of pseudo-labeled data.
ISIPTA
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023 B conf
Multi-target Decision Making Under Conditions of Severe Uncertainty.
MDAI
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023 J jnl
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement.
CoRR
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
2023 A conf
Robust statistical comparison of random variables with locally varying scale of measurement.
UAI
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
2023 J jnl
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance.
J. Mach. Learn. Res.
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
2023 J jnl
The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures.
Future Gener. Comput. Syst.
Christoph Jansen, Björn Lindequist, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Michael Franz, Lars Ole Schwen, Theodore Evans, André Homeyer, Norman Zerbe
2022 J jnl
Anonymization of Whole Slide Images in Histopathology for Research and Education.
CoRR
Tom Bisson, Michael Franz, Isil Dogan O, Daniel Romberg, Christoph Jansen, Peter Hufnagl, Norman Zerbe
2022 — conf
Decision Making with State-Dependent Preference Systems.
IPMU (1)
Christoph Jansen, Thomas Augustin
2022 J jnl
EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.
Comput. Methods Programs Biomed.
Daniel Romberg, Klaus Strohmenger, Christoph Jansen, Tobias Küster, Nick Weiss, Christian Geißler, Tomasz Soltysinski, Michael Takla, Peter Hufnagl, Norman Zerbe, André Homeyer
2022 J jnl
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty.
Int. J. Approx. Reason.
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
2022 J jnl
Multi-Target Decision Making under Conditions of Severe Uncertainty.
CoRR
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2022 J jnl
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance.
CoRR
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
2022 — conf
Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis.
IPMU (2)
Hannah Blocher, Georg Schollmeyer, Christoph Jansen
2022 B conf
The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures.
CCGRID
Christoph Jansen, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Björn Lindequist, Michael Franz, André Homeyer, Norman Zerbe
2021 J jnl
IIoT and cyber-resilience.
AI Soc.
Sebastian Gajek, Michael Lees, Christoph Jansen
2021 J jnl
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty.
CoRR
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
2020 J jnl
Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications.
Future Gener. Comput. Syst.
Christoph Jansen, Jonas Annuscheit, Bruno Schilling, Klaus Strohmenger, Michael Witt, Felix Bartusch, Christian Herta, Peter Hufnagl, Dagmar Krefting
2019 B conf
Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images.
CCGRID
Christoph Jansen, Bruno Schilling, Klaus Strohmenger, Michael Witt, Jonas Annuscheit, Dagmar Krefting
2018 J jnl
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity.
Math. Soc. Sci.
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2018 J jnl
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences.
Int. J. Approx. Reason.
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2018 J jnl
Mitigating risks of digitalization through managed industrial security services.
AI Soc.
Christoph Jansen, Sabina Jeschke
2018 J jnl
Sandboxing of biomedical applications in Linux containers based on system call evaluation.
Concurr. Comput. Pract. Exp.
Michael Witt, Christoph Jansen, Dagmar Krefting, Achim Streit
2017 — conf
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences.
ISIPTA
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2017 C conf
Decision Theory Meets Linear Optimization Beyond Computation.
ECSQARU
Christoph Jansen, Thomas Augustin, Georg Schollmeyer
2017 B conf
Fine-grained Supervision and Restriction of Biomedical Applications in Linux Containers.
CCGrid
Michael Witt, Christoph Jansen, Dagmar Krefting, Achim Streit
2017 J jnl
Multicenter data sharing for collaboration in sleep medicine.
Future Gener. Comput. Syst.
Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Michael Witt, Jie Wu, Dagmar Krefting
2017 — conf
Towards Reproducible Research in a Biomedical Collaboration Platform following the FAIR Guiding Principles.
UCC (Companion")
Christoph Jansen, Maximilian Beier, Michael Witt, Sonja Frey, Dagmar Krefting
2016 — conf
Employing Docker Swarm on OpenStack for Biomedical Analysis.
ICCSA (2)
Christoph Jansen, Michael Witt, Dagmar Krefting
2015 J jnl
Extending XNAT towards a Cloud-based Quality Assessment Platform for Retinal Optical Coherence Tomographies.
Scalable Comput. Pract. Exp.
Christoph Jansen, Maximilian Beier, Michael Witt, Jie Wu, Dagmar Krefting
2015 B conf
Multicenter Data Sharing for Collaboration in Sleep Medicine.
CCGRID
Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel, Andrea Rodenbeck, René Siewert, Jie Wu, Dagmar Krefting
2015 C conf
Reconstructing Missing Areas in Facial Images.
ISM
Christoph Jansen, Radek Mackowiak, Nico Hezel, Moritz Ufer, Gregor Altstadt, Kai Uwe Barthel
2014 B conf
Extending XNAT towards a Cloud-Based Quality Assessment Platform for Retinal Optical Coherence Tomographies.
CCGRID
Jie Wu, Christoph Jansen, Maximilian Beier, Michael Witt, Dagmar Krefting
2005 J jnl
The Minimal Degrees of Faithful Representations of the Sporadic Simple Groups and their Covering Groups.
LMS J. Comput. Math.
Christoph Jansen