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DeepProbLog: Neural Probabilistic Logic Programming., , , , и . BNAIC/BENELEARN, том 2491 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)avatar - Automated Feature Wrangling for Machine Learning., , , и . IDA, том 12695 из Lecture Notes in Computer Science, стр. 235-247. Springer, (2021)COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints., , , и . CoRR, (2018)Learning Large Logic Programs By Going Beyond Entailment., и . IJCAI, стр. 2073-2079. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Turning 30: New Ideas in Inductive Logic Programming., , и . IJCAI, стр. 4833-4839. ijcai.org, (2020)Survey track.From Statistical Relational to Neuro-Symbolic Artificial Intelligence., , , и . IJCAI, стр. 4943-4950. ijcai.org, (2020)Survey track.Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation., и . IJCAI, стр. 1631-1637. ijcai.org, (2017)Inductive Logic Programming At 30: A New Introduction., и . J. Artif. Intell. Res., (2022)Neuro-Symbolic = Neural + Logical + Probabilistic., , , , и . NeSy@IJCAI, (2019)SaDe: Learning Models that Provably Satisfy Domain Constraints., , и . ECML/PKDD (5), том 13717 из Lecture Notes in Computer Science, стр. 410-425. Springer, (2022)