Stephen H. Muggleton

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 32

Top Venues

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models. CoRR (2024)
Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin
Simulating Petri nets with Boolean Matrix Logic Programming. CoRR (2024)
Lun Ai, Shi-Shun Liang, Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin
Human Comprehensible Active Learning of Genome-Scale Metabolic Networks. CoRR (2023)
Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid
Explanatory machine learning for sequential human teaching. Mach. Learn. 112 (10) (2023)
Stassa Patsantzis, Stephen H. Muggleton
Correction to: Meta-interpretive learning as metarule specialisation. Mach. Learn. 111 (8) (2022)
Stassa Patsantzis, Stephen H. Muggleton
Meta-interpretive learning as metarule specialisation. Mach. Learn. 111 (10) (2022)
Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid
Explanatory machine learning for sequential human teaching. CoRR (2022)
Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton
Inductive logic programming at 30. Mach. Learn. 111 (1) (2022)
Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid
Beneficial and harmful explanatory machine learning. Mach. Learn. 110 (4) (2021)
Stassa Patsantzis, Stephen H. Muggleton
Top program construction and reduction for polynomial time Meta-Interpretive learning. Mach. Learn. 110 (4) (2021)
Stassa Patsantzis, Stephen H. Muggleton
Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning. CoRR (2021)
Didac Barroso-Bergada, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton, Corinne Vacher, Nika Galic, David Bohan
Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation. ILP (2021)
Stassa Patsantzis, Stephen H. Muggleton
Meta-Interpretive Learning as Metarule Specialisation. CoRR (2021)
Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin
Automated Biodesign Engineering by Abductive Meta-Interpretive Learning. CoRR (2021)
Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton
Inductive logic programming at 30. CoRR (2021)
Yu-Xuan Huang, Wang-Zhou Dai, Le-Wen Cai, Stephen H. Muggleton, Yuan Jiang
Fast Abductive Learning by Similarity-based Consistency Optimization. NeurIPS (2021)
Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton
Turning 30: New Ideas in Inductive Logic Programming. CoRR (2020)
Andrew Cropper, Sebastijan Dumancic, Stephen H. Muggleton
Turning 30: New Ideas in Inductive Logic Programming. IJCAI (2020)
Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid
Beneficial and Harmful Explanatory Machine Learning. CoRR (2020)
Céline Hocquette, Stephen H. Muggleton
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning. IJCAI (2020)
Wang-Zhou Dai, Stephen H. Muggleton
Abductive Knowledge Induction From Raw Data. CoRR (2020)
Andrew Cropper, Rolf Morel, Stephen H. Muggleton
Learning Higher-Order Programs through Predicate Invention. AAAI (2020)
Céline Hocquette, Stephen H. Muggleton
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? CoRR (2019)
Luc De Raedt, Richard Evans, Stephen H. Muggleton, Ute Schmid
Approaches and Applications of Inductive Programming (Dagstuhl Seminar 19202). Dagstuhl Reports 9 (5) (2019)
Andrew Cropper, Rolf Morel, Stephen H. Muggleton
Learning higher-order logic programs. CoRR (2019)
Stephen H. Muggleton, Céline Hocquette
Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning. New Gener. Comput. 37 (2) (2019)
Andrew Cropper, Stephen H. Muggleton
Learning efficient logic programs. Mach. Learn. 108 (7) (2019)
Stephen H. Muggleton, Ute Schmid, Christina Zeller, Alireza Tamaddoni-Nezhad, Tarek R. Besold
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. Mach. Learn. 107 (7) (2018)
Ute Schmid, Stephen H. Muggleton, Rishabh Singh
Approaches and Applications of Inductive Programming (Dagstuhl Seminar 17382). Dagstuhl Reports 7 (9) (2017)
Stephen H. Muggleton
Meta-Interpretive Learning: Achievements and Challenges (Invited Paper). RuleML+RR (2017)
Hank Conn, Stephen H. Muggleton
The Effect of Predicate Order on Curriculum Learning in ILP. ILP (Late Breaking Papers) (2017)
Andrew Cropper, Stephen H. Muggleton
Learning Higher-Order Logic Programs through Abstraction and Invention. IJCAI (2016)
Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited. Mach. Learn. 100 (1) (2015)
José Hernández-Orallo, Stephen H. Muggleton, Ute Schmid, Benjamin G. Zorn
Approaches and Applications of Inductive Programming (Dagstuhl Seminar 15442). Dagstuhl Reports 5 (10) (2015)
Andrew Cropper, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton
Meta-Interpretive Learning of Data Transformation Programs. ILP (2015)
Sumit Gulwani, José Hernández-Orallo, Emanuel Kitzelmann, Stephen H. Muggleton, Ute Schmid, Benjamin G. Zorn
Inductive programming meets the real world. Commun. ACM 58 (11) (2015)
Andrew Cropper, Stephen H. Muggleton
Learning Efficient Logical Robot Strategies Involving Composable Objects. IJCAI (2015)
Wang-Zhou Dai, Stephen H. Muggleton, Zhi-Hua Zhou
Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts. ILP (Late Breaking Papers) (2015)
Stephen H. Muggleton, Dianhuan Lin, Niels Pahlavi, Alireza Tamaddoni-Nezhad
Meta-interpretive learning: application to grammatical inference. Mach. Learn. 94 (1) (2014)
Andrew Cropper, Stephen H. Muggleton
Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning. ILP (2014)
Stephen H. Muggleton, Dianhuan Lin, Jianzhong Chen, Alireza Tamaddoni-Nezhad
MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement. ILP (2013)
Stephen H. Muggleton, Dianhuan Lin
Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention revisited. IJCAI (2013)
José Carlos Almeida Santos, Houssam Nassif, David Page, Stephen H. Muggleton, Michael J. E. Sternberg
Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. BMC Bioinform. 13 (2012)
Hiroaki Watanabe, Stephen H. Muggleton
Projection-Based PILP: Computational Learning Theory with Empirical Results. ILP (2011)
Andreas Kirkeby Fidjeland, Wayne Luk, Stephen H. Muggleton
Customisable Multi-Processor Acceleration of Inductive Logic Programming. ILP (Late Breaking Papers) (2011)
Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad
MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. ILP (2011)
Alireza Tamaddoni-Nezhad, David Bohan, Alan Raybould, Stephen H. Muggleton
Machine Learning a Probabilistic Network of Ecological Interactions. ILP (2011)
Stephen H. Muggleton, Changze Xu
Can ILP Learn Complete and Correct Game Strategies? ILP (Late Breaking Papers) (2011)
Robert J. Henderson, Stephen H. Muggleton
Automatic Invention of Functional Abstractions. ILP (Late Breaking Papers) (2011)
Niels Pahlavi, Stephen H. Muggleton
Towards Efficient Higher-Order Logic Learning in a First-Order Datalog Framework. ILP (Late Breaking Papers) (2011)
Kazuhisa Tsunoyama, Ata Amini, Michael J. E. Sternberg, Stephen H. Muggleton
Scaffold Hopping in Drug Discovery Using Inductive Logic Programming. J. Chem. Inf. Model. 48 (5) (2008)
Ata Amini, Stephen H. Muggleton, Huma Lodhi, Michael J. E. Sternberg
A Novel Logic-Based Approach for Quantitative Toxicology Prediction. J. Chem. Inf. Model. 47 (3) (2007)
Edward O. Cannon, Ata Amini, Andreas Bender, Michael J. E. Sternberg, Stephen H. Muggleton, Robert C. Glen, John B. O. Mitchell
Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. J. Comput. Aided Mol. Des. 21 (5) (2007)
Stephen H. Muggleton
Learning the Time Complexity of Logic Programs. AAIP (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stephen H. Muggleton