Research output per year
Research output per year
-
On the Potential of Deep Symbolic Models for Classification Problems
Beck, F., Fürnkranz, J. & Huynh, V. Q. P., 2025, Proceedings of the 28th International Conference on Discovery Science (DS). Džeroski, S., Levatić, J., Pio, G. & Simidjievski, N. (eds.). Ljubljana, Slovenia: Springer, Cham, p. 161-175 15 p. (Lecture Notes in Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
-
Partial Pre-Post Code Tree: A Memory-Efficient Tree Structure for Conjunctive Rule Mining
Huynh, V. Q. P., Beck, F. & Fürnkranz, J., 20 Jul 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Sun, Y., Chierichetti, F., Lauw, H. W., Perlich, C., Tok, W. H. & Tomkins, A. (eds.). Toronto, ON, Canada: ACM, Vol. 1. p. 565-576 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Open Access -
Learning Deep Rule Concepts as Alternating Boolean Pattern Trees
Beck, F., Fürnkranz, J. & Huynh, V. Q. P., 2024, Proceedings of the 27th International Conference on Discovery Science (DS). Springer, 12 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
-
When Characteristic Rule-based Models Should Be Preferred Over Discriminative Ones
Beck, F., Fürnkranz, J. & Huynh, V. Q. P., 2024, Proceedings of the 24th Conference on Information Technologies -- Applications and Theory (ITAT). Drienica, Slovakia: CEUR-WS.org, Vol. 3792. p. 52-59 8 p. (CEUR Workshop Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
-
Efficient Learning of Large Sets of Locally Optimal Classification Rules
Huynh, V. Q., Fürnkranz, J. & Beck, F., Feb 2023, In: Machine Learning. 112, 2, p. 571-610 40 p.Research output: Contribution to journal › Article › peer-review
Open Access
Projects
- 1 Active
-
Automated Rule Extraction and Interpretation from Symbolic Regression Trees
Fürnkranz, J. (PI), Beck, F. (Researcher), Pammer, T. (Researcher) & Huynh, V. Q. (Researcher)
01.10.2025 → 30.09.2026
Project: Funded research › FFG - Austrian Research Promotion Agency
-
20th International Conference on the Foundations of Digital Games
Fürnkranz, J. (Organiser), Bertram, T. (Organiser), Beck, F. (Organiser) & Huynh, V. Q. (Organiser)
15 Apr 2025Activity: Participating in or organising an event › Organising a conference, workshop, ...
-
Layerwise Learning of Mixed Conjunctive and Disjunctive Rule Sets
Beck, F. (Speaker)
18 Sept 2023Activity: Talk or presentation › Contributed talk › science-to-science