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Research

Dr Christoph Jansen

Assistant Professor (Lecturer) in Computer Science, Data Science

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  1. 2024
  2. Published

    Semi-supervised Learning Guided by the Generalized Bayes Rule Under Soft Revision

    Dietrich, S., Rodemann, J. & Jansen, C., 10/08/2024, Combining, Modelling and Analyzing Imprecision, Randomness and Dependence. Cham: Springer, p. 110-117 8 p. (Advances in Intelligent Systems and Computing (AISC); vol. 1458).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Comparing machine learning algorithms by union-free generic depth

    Blocher, H., Schollmeyer, G., Nalenz, M. & Jansen, C., 30/06/2024, In: International Journal of Approximate Reasoning. 169, 109166.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision

    Dietrich, S., Rodemann, J. & Jansen, C., 24/05/2024, Arxiv.

    Research output: Working paper › Preprint

  5. Published

    Some contributions to decision making in complex information settings with imprecise probabilities and incomplete preferences: Theoretical and algorithmic results

    Jansen, C., 2024

    Research output: Thesis › Doctoral Thesis

  6. 2023
  7. Published

    Robust statistical comparison of random variables with locally varying scale of measurement

    Jansen, C., Schollmeyer, G., Blocher, H., Rodemann, J. & Augustin, T., 31/07/2023, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence. PMLR, (PMLR; vol. 216).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Statistical Comparisons of Classifiers by Generalized Stochastic Dominance

    Jansen, C., Nalenz, M., Schollmeyer, G. & Augustin, T., 31/07/2023, In: Journal of Machine Learning Research. 24, 37 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Depth functions for partial orders with a descriptive analysis of machine learning algorithms

    Blocher, H., Schollmeyer, G., Jansen, C. & Nalenz, M., 14/07/2023, Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2023). PMLR, p. 59-71 13 p. (PMLR; vol. 215).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    In All Likelihoods: Robust Selection of Pseudo-Labeled Data

    Rodemann, J., Jansen, C., Schollmeyer, G. & Augustin, T., 14/07/2023, Proceedings of the Thirteenth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA '23). PMLR, p. 412-425 14 p. (PMLR; vol. 215).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  11. Published

    Multi-target Decision Making Under Conditions of Severe Uncertainty

    Jansen, C., Schollmeyer, G. & Augustin, T., 19/05/2023, Modeling Decisions for Artificial Intelligence: 20th International Conference, MDAI 2023, Umeå, Sweden, June 19–22, 2023, Proceedings. Torra, V. & Narukawa, Y. (eds.). Cham: Springer, p. 45-57 18 p. (Lecture Notes in Artificial Intelligence; vol. 13890).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. Published

    Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities

    Jansen, C., Schollmeyer, G. & Augustin, T., 14/01/2023, Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld. Augustin, T., Gagliardi Cozman, F. & Wheeler, G. (eds.). Cham: Springer, p. 319-346 28 p. (Theory and Decision Library A; vol. 54).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

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