Research output per year
Research output per year
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Dive into the research topics where S. Dumančić is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
Goyal, K., Dumancic, S. & Blockeel, H., 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 11 ed. Association for the Advancement of Artificial Intelligence (AAAI), Vol. 38. p. 12199-12207 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile3 Downloads (Pure) -
From statistical relational to neurosymbolic artificial intelligence: A survey
Marra, G., Dumančić, S., Manhaeve, R. & De Raedt, L., 2024, In: Artificial Intelligence. 328, 30 p., 104062.Research output: Contribution to journal › Review article › peer-review
Open AccessFile3 Citations (Scopus)246 Downloads (Pure) -
Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation
van Bokkem, D., van den Hemel, M., Dumančić, S. & Yorke-Smith, N., 2023, AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations. Williams, B., Chen, Y. & Neville, J. (eds.). American Association for Artificial Intelligence (AAAI), p. 15731-15737 7 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile19 Downloads (Pure) -
SaDe: Learning Models that Provably Satisfy Domain Constraints
Goyal, K., Dumancic, S. & Blockeel, H., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer, p. 410-425 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13717 LNAI).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
2 Citations (Scopus) -
Inductive Logic Programming at 30: A New Introduction
Cropper, A. & Dumančić, S., 2022, In: Journal of Artificial Intelligence Research. 74, p. 765-850 86 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access20 Citations (Scopus)
Projects
- 1 Active
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Understanding the world with probabilistic programs
Dumančić, S. & Gardos Reid, R. J.
1/10/23 → 30/09/27
Project: Research