Uncertainty in Artificial Intelligence

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  • An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting

    Saadallah, A., Tavakol, M. & Morik, K., 2021, (Accepted/In press) IEEE International Conference on Data Engineering (ICDE).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • How to measure uncertainty in uncertainty sampling for active learning

    Nguyen, V-L., Shaker, M. H. & Hüllermeier, E., 2021, (Accepted/In press) In: Machine Learning. XX, XX, 28 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • Learning Gradient Boosted Multi-label Classification Rules

    Rapp, M., Mencía, E. L., Fürnkranz, J., Nguyen, V-L. & Hüllermeier, E., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer, p. 124-140 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12459 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review