Christoph Jansen
Orcid: 0000-0001-7473-4160
According to our database1,
Christoph Jansen
authored at least 31 papers
between 2005 and 2024.
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Bibliography
2024
CoRR, 2024
2023
J. Mach. Learn. Res., 2023
The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures.
Future Gener. Comput. Syst., 2023
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning.
CoRR, 2023
Robust statistical comparison of random variables with locally varying scale of measurement.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Modeling Decisions for Artificial Intelligence, 2023
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
Depth functions for partial orders with a descriptive analysis of machine learning algorithms.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
2022
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty.
Int. J. Approx. Reason., 2022
CoRR, 2022
EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.
Comput. Methods Programs Biomed., 2022
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022
Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022
The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
2020
Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications.
Future Gener. Comput. Syst., 2020
2019
Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019
2018
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity.
Math. Soc. Sci., 2018
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences.
Int. J. Approx. Reason., 2018
Sandboxing of biomedical applications in Linux containers based on system call evaluation.
Concurr. Comput. Pract. Exp., 2018
AI Soc., 2018
2017
Future Gener. Comput. Syst., 2017
Towards Reproducible Research in a Biomedical Collaboration Platform following the FAIR Guiding Principles.
Proceedings of the Companion Proceedings of the 10th International Conference on Utility and Cloud Computing, 2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
Fine-grained Supervision and Restriction of Biomedical Applications in Linux Containers.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
2016
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016
2015
Extending XNAT towards a Cloud-based Quality Assessment Platform for Retinal Optical Coherence Tomographies.
Scalable Comput. Pract. Exp., 2015
Proceedings of the 2015 IEEE International Symposium on Multimedia, 2015
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2005
The Minimal Degrees of Faithful Representations of the Sporadic Simple Groups and their Covering Groups.
LMS J. Comput. Math., 2005