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ORCIDChristoph Jansen
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Journal Articles
- 2024
[j15]Hannah Blocher
, Georg Schollmeyer, Malte Nalenz, Christoph Jansen:
Comparing machine learning algorithms by union-free generic depth. Int. J. Approx. Reason. 169: 109166 (2024)- [j14]Alexander Diel, Isabel Carolin Schröter, Anna-Lena Frewer, Christoph Jansen, Anita Robitzsch, Gertraud Gradl-Dietsch, Martin Teufel, Alexander Bäuerle:
A systematic review and meta analysis on digital mental health interventions in inpatient settings. npj Digit. Medicine 7(1) (2024) - 2023
- [j13]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: 209-224 (2023) - [j12]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. 24: 231:1-231:37 (2023) - 2022
- [j11]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: 106596 (2022) - [j10]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: 69-91 (2022) - 2021
- [j9]Sebastian Gajek, Michael Lees, Christoph Jansen:
IIoT and cyber-resilience. AI Soc. 36(3): 725-735 (2021) - 2020
- [j8]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: 209-227 (2020) - 2018
- [j7]Christoph Jansen, Sabina Jeschke:
Mitigating risks of digitalization through managed industrial security services. AI Soc. 33(2): 163-173 (2018) - [j6]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) - [j5]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: 112-131 (2018) - [j4]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. 96: 49-62 (2018) - 2017
- [j3]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: 466-480 (2017) - 2015
- [j2]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) - 2005
- [j1]Christoph Jansen:
The Minimal Degrees of Faithful Representations of the Sporadic Simple Groups and their Covering Groups. LMS J. Comput. Math. 8: 122-144 (2005)
Conference and Workshop Papers
- 2023
- [c16]Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz:
Depth functions for partial orders with a descriptive analysis of machine learning algorithms. ISIPTA 2023: 59-71 - [c15]Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
In all likelihoods: robust selection of pseudo-labeled data. ISIPTA 2023: 412-425 - [c14]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI 2023: 45-57 - [c13]Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin:
Robust statistical comparison of random variables with locally varying scale of measurement. UAI 2023: 941-952 - 2022
- [c12]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: 1017-1027 - [c11]Hannah Blocher, Georg Schollmeyer, Christoph Jansen:
Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis. IPMU (2) 2022: 17-30 - [c10]Christoph Jansen, Thomas Augustin:
Decision Making with State-Dependent Preference Systems. IPMU (1) 2022: 729-742 - 2019
- [c9]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: 621-630 - 2017
- [c8]Michael Witt, Christoph Jansen, Dagmar Krefting, Achim Streit:
Fine-grained Supervision and Restriction of Biomedical Applications in Linux Containers. CCGrid 2017: 813-822 - [c7]Christoph Jansen, Thomas Augustin, Georg Schollmeyer:
Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU 2017: 329-339 - [c6]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA 2017: 181-192 - [c5]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: 3-8 - 2016
- [c4]Christoph Jansen, Michael Witt, Dagmar Krefting:
Employing Docker Swarm on OpenStack for Biomedical Analysis. ICCSA (2) 2016: 303-318 - 2015
- [c3]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: 880-889 - [c2]Christoph Jansen, Radek Mackowiak, Nico Hezel, Moritz Ufer, Gregor Altstadt, Kai Uwe Barthel:
Reconstructing Missing Areas in Facial Images. ISM 2015: 323-326 - 2014
- [c1]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: 764-773
Informal and Other Publications
- 2024
- [i12]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 abs/2401.09450 (2024) - [i11]Stefan Dietrich, Julian Rodemann, Christoph Jansen:
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision. CoRR abs/2405.15294 (2024) - [i10]Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin:
Statistical Multicriteria Benchmarking via the GSD-Front. CoRR abs/2406.03924 (2024) - [i9]Julian Rodemann, Christoph Jansen, Georg Schollmeyer:
Reciprocal Learning. CoRR abs/2408.06257 (2024) - 2023
- [i8]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 abs/2303.01117 (2023) - [i7]Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz:
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms. CoRR abs/2304.09872 (2023) - [i6]Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin:
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR abs/2306.12803 (2023) - [i5]Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen:
Comparing Machine Learning Algorithms by Union-Free Generic Depth. CoRR abs/2312.12839 (2023) - 2022
- [i4]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR abs/2209.01857 (2022) - [i3]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 abs/2211.06103 (2022) - [i2]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR abs/2212.06832 (2022) - 2021
- [i1]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 abs/2110.12879 (2021)
Coauthor Index
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