Research output per year
Research output per year
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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
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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 -
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 -
Generalizing Conjunctive and Disjunctive Rule Learning to Learning m-of-n Concepts
Beck, F., Fürnkranz, J. & Huynh, V. Q., 2023, Proceedings of the 23rd Conference Information Technologies - Applications and Theory (ITAT 2023), Tatransk\'e Matliare, Slovakia, September 22-26, 2023. Brejov\'a, Ciencialov\'a, Holena, Jajcay, Jajcayov\'a, Lexa, Mr\'az, Pardubsk\'a, Pl\'atek (ed.). CEUR-WS.org, Vol. 3498. p. 8-13 6 p. (CEUR Workshop Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Layerwise Learning of Mixed Conjunctive and Disjunctive Rule Sets
Beck, F., Fürnkranz, J. & Huynh, V. Q., 2023, Rules and Reasoning - 7th International Joint Conference, RuleML+RR 2023, Proceedings. Fensel, A., Ozaki, A., Roman, D. & Soylu, A. (eds.). p. 95-109 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14244 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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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
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PreMoBAF
Auer, D. (Researcher), Mohamed, A. (Researcher), Küng, J. (PI), Fürnkranz, J. (Researcher) & Huynh, V. Q. (Researcher)
01.04.2021 → 31.03.2025
Project: Funded research › FFG - Austrian Research Promotion Agency
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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, ...
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Higher Performance IPPC+ Tree for Parallel Incremental Frequent Itemsets Mining
Huynh, V. Q. (Speaker)
27 Nov 2018Activity: Talk or presentation › Contributed talk › science-to-science
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IFIN+: A Parallel Incremental Frequent Itemsets Mining in Shared-Memory Environment
Huynh, V. Q. (Speaker)
03 Dec 2017Activity: Talk or presentation › Contributed talk › science-to-science
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Incremental Frequent Itemsets Mining with IPPC Tree
Huynh, V. Q. (Speaker)
29 Aug 2017Activity: Talk or presentation › Contributed talk › science-to-science