Research output per year
Research output per year
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Probabilistic scoring lists for interpretable machine learning.
Hanselle, J., Heid, S., Fürnkranz, J. & Hüllermeier, E., Mar 2025, In: Machine Learning. 114, 3, 31 p., 55.Research output: Contribution to journal › Article › peer-review
Open Access -
Dynamic Time Warping for Phase Recognition in Tribological Sensor Data
Glock, A.-C. & Fürnkranz, J., 2024, Proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2024). Robert Wrembel and Silvia Chiusano and Gabriele Kotsis and Tjoa, A Min and Ismail Khalil (ed.). Naples, Italy: Springer-Verlag, p. 245--250 6 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets
Bertram, T., Fürnkranz, J. & Müller, M., 2024, KI 2024: Advances in Artificial Intelligence. 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Explainable and Interpretable Machine Learning and Data Mining -- Guest Editorial
Atzmueller, M., Fürnkranz, J., Kliegr, T. & Schmid, U., 2024, In: Data Mining and Knowledge Discovery. 38, p. 2571--2595 25 p.Research output: Contribution to journal › Editorial
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Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems
Heid, S., Hanselle, J., Fürnkranz, J. & Hüllermeier, E., 2024, In: International Journal of Approximate Reasoning. 171, 109190, 16 p., 109190.Research output: Contribution to journal › Article › peer-review
Projects
- 1 Active
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Cluster of Excellence "Bilateral Artificial Intelligence"
Fürnkranz, J. (PI), Hochreiter, S. (PI), Klambauer, G. (PI), Schedl, M. (PI), Seidl, M. (PI) & Widmer, G. (PI)
01.10.2024 → 30.09.2029
Project: Funded research › FWF - Austrian Science Fund
Activities
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The 39th Annual AAAI Conference on Artificial Intelligence (Event)
Fürnkranz, J. (Member)
2025Activity: Membership/Function › Program committee
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Towards Deep (and Interpretable?) Rule Learning
Fürnkranz, J. (Speaker)
03 Apr 2024Activity: Talk or presentation › Invited talk › science-to-science
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Towards Interpretable Rule Learning
Fürnkranz, J. (Speaker)
11 Jan 2024Activity: Talk or presentation › Invited talk › science-to-science
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Data Mining and Knowledge Discovery, Special Issue on Explainable and Interpretable Machine Learning and Data Mining (Journal or book series)
Atzmueller, M. (Editor), Fürnkranz, J. (Editor), Kliegr, T. (Editor) & Schmid, U. (Editor)
2024Activity: Publication peer-review and editorial work › Editorial work
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Deep Rule Learning
Fürnkranz, J. (Speaker)
31 Oct 2023Activity: Talk or presentation › Contributed talk › science-to-science