Search Results - "Stephen Muggleton"

Special Issue on Semantic Technology.

Authors: Ichise, Ryutaro Muggleton, Stephen Kozaki, Kouji et al.

Source: New Generation Computing; Dec2019, Vol. 37 Issue 4, p359-360, 2p

Reinforced logical reasoning over KGs for interpretable recommendation system.

Authors: Wang, Shirui Xie, Bohan Ding, Ling et al.

Source: Machine Learning; Apr2025, Vol. 114 Issue 4, p1-27, 27p

Inductive learning of robot task knowledge from raw data and online expert feedback.

Authors: Meli, Daniele Fiorini, Paolo

Source: Machine Learning; Apr2025, Vol. 114 Issue 4, p1-33, 33p

A model for intelligible interaction between agents that predict and explain.

Authors: Baskar, A. Srinivasan, Ashwin Bain, Michael et al.

Source: Machine Learning; Apr2025, Vol. 114 Issue 4, p1-40, 40p

Responding to the challenge of AI: Retrieving human intelligence through labour.

Authors: Agustí-Panareda, Jordi Agustí-Cullell, Jaume

Source: International Labour Review. 2025, Vol. 164 Issue 4, p1-18. 18p.

Learning differentiable logic programs for abstract visual reasoning.

Authors: Shindo, Hikaru Pfanschilling, Viktor Dhami, Devendra Singh et al.

Source: Machine Learning; Dec2024, Vol. 113 Issue 11, p8533-8584, 52p

Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey.

Authors: Cheng, Kewei Ahmed, Nesreen K. Rossi, Ryan A. et al.

Source: ACM Transactions on Knowledge Discovery from Data; Nov2024, Vol. 18 Issue 9, p1-44, 44p

Modeling PU learning using probabilistic logic programming.

Authors: Verreet, Victor De Raedt, Luc Bekker, Jessa

Source: Machine Learning; Mar2024, Vol. 113 Issue 3, p1351-1372, 22p

Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity.

Authors: Michelioudakis, Evangelos Artikis, Alexander Paliouras, Georgios

Source: Machine Learning; Mar2024, Vol. 113 Issue 3, p1445-1481, 37p

Principled diverse counterfactuals in multilinear models.

Authors: Papantonis, Ioannis Belle, Vaishak

Source: Machine Learning; Mar2024, Vol. 113 Issue 3, p1421-1443, 23p

Composition of relational features with an application to explaining black-box predictors.

Authors: Srinivasan, Ashwin Baskar, A. Dash, Tirtharaj et al.

Source: Machine Learning; Mar2024, Vol. 113 Issue 3, p1091-1132, 42p

Face à l'IA, le travail comme outil de réappropriation de l'intelligence humaine.

Authors: Agustí-Panareda, Jordi Agustí-Cullell, Jaume

Source: Revue Internationale du Travail. 2025, Vol. 164 Issue 4, p1-20. 20p.

Neurosymbolic AI: the 3rd wave.

Authors: Garcez, Artur d'Avila Lamb, Luís C.

Source: Artificial Intelligence Review; Nov2023, Vol. 56 Issue 11, p12387-12406, 20p

Learning logic programs by explaining their failures.

Authors: Morel, Rolf Cropper, Andrew

Source: Machine Learning; Oct2023, Vol. 112 Issue 10, p3917-3943, 27p

Heuristic search of optimal machine teaching curricula.

Authors: Garcia-Piqueras, Manuel Hernández-Orallo, Jose

Source: Machine Learning; Oct2023, Vol. 112 Issue 10, p4049-4080, 32p

Contrastive counterfactual visual explanations with overdetermination.

Authors: White, Adam Ngan, Kwun Ho Phelan, James et al.

Source: Machine Learning; Sep2023, Vol. 112 Issue 9, p3497-3525, 29p

ROAD-R: the autonomous driving dataset with logical requirements.

Authors: Giunchiglia, Eleonora Stoian, Mihaela Cătălina Khan, Salman et al.

Source: Machine Learning; Sep2023, Vol. 112 Issue 9, p3261-3291, 31p

Differentiable learning of matricized DNFs and its application to Boolean networks.

Authors: Sato, Taisuke Inoue, Katsumi

Source: Machine Learning; Aug2023, Vol. 112 Issue 8, p2821-2843, 23p

Inverse reinforcement learning through logic constraint inference.

Authors: Baert, Mattijs Leroux, Sam Simoens, Pieter

Source: Machine Learning; Jul2023, Vol. 112 Issue 7, p2593-2618, 26p

αILP: thinking visual scenes as differentiable logic programs.

Authors: Shindo, Hikaru Pfanschilling, Viktor Dhami, Devendra Singh et al.

Source: Machine Learning; May2023, Vol. 112 Issue 5, p1465-1497, 33p