Stephen Muggleton - Publications, H-index & Citations

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Stephen Muggleton

department of computing

46H-index

285Paper Count

1.2WCitation Count

Published Papers 35

Publication Date

Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models

Machine Learning

IF2.9

2025-10-19

OAAI

Lun Ai; Stephen H. Muggleton; Shi-Shun Liang; Geoff S. Baldwin

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Explanatory machine learning for sequential human teaching

MACHINE LEARNING

IF2.9

2023-06-28

OAAI

Ai, Lun; Langer, Johannes; Muggleton, Stephen H.; Schmid, Ute

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Introduction to 'Cognitive artificial intelligence'

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

IF3.7

2023-06-05

OAAI

Bundy, Alan; Chater, Nick; Muggleton, Stephen

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Meta-interpretive learning as metarule specialisation (Apr, 10.1007/s10994-022-06156-1, 2022)

MACHINE LEARNING

IF2.9

2022-05-16

OAAI

Patsantzis, S.; Muggleton, S. H.

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Meta-interpretive learning as metarule specialisation

MACHINE LEARNING

IF2.9

2022-04-15

OAAI

Patsantzis, S.; Muggleton, S. H.

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Inductive logic programming at 30

MACHINE LEARNING

IF2.9

2021-11-09

OAAI

Cropper, Andrew; Dumancic, Sebastijan; Evans, Richard; Muggleton, Stephen H.

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Beneficial and harmful explanatory machine learning

MACHINE LEARNING

IF2.9

2021-03-11

OAAI

Ai, Lun; Muggleton, Stephen H.; Hocquette, Celine; Gromowski, Mark; Schmid, Ute

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Top program construction and reduction for polynomial time Meta-Interpretive learning

MACHINE LEARNING

IF2.9

2021-02-08

OAAI

Patsantzis, S.; Muggleton, S. H.

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Learning higher-order logic programs

MACHINE LEARNING

IF2.9

2019-12-03

OAAI

Cropper, Andrew; Morel, Rolf; Muggleton, Stephen

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Meta-Interpretive Learning from noisy images

MACHINE LEARNING

IF2.9

2018-05-07

OAAI

Muggleton, Stephen; Dai, Wang-Zhou; Sammut, Claude; Tamaddoni-Nezhad, Alireza; Wen, Jing; Zhou, Zhi-Hua

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Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP

MACHINE LEARNING

IF2.9

2018-05-07

OAAI

Muggleton, Stephen H.; Schmid, Ute; Zeller, Christina; Tamaddoni-Nezhad, Alireza; Besold, Tarek

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Learning efficient logic programs

MACHINE LEARNING

IF2.9

2018-04-23

OAAI

Cropper, Andrew; Muggleton, Stephen H.

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Inductive Programming Meets the Real World

COMMUNICATIONS OF THE ACM

IF12.2

2015-10-23

OAAI

Gulwani, Sumit; Hernandez-Orallo, Jose; Kitzelmann, Emanuel; Muggleton, Stephen H.; Schmid, Ute; Zorn, Benjamin

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Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited

MACHINE LEARNING

IF2.9

2015-03-12

116

OAAI

Muggleton, Stephen H.; Lin, Dianhuan; Tamaddoni-Nezhad, Alireza

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Meta-interpretive learning: application to grammatical inference

MACHINE LEARNING

IF2.9

2013-05-01

PREAI

Muggleton, Stephen H.; Lin, Dianhuan; Pahlavi, Niels; Tamaddoni-Nezhad, Alireza

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Guest editorial: special issue on Inductive Logic Programming (ILP 2011)

MACHINE LEARNING

IF2.9

2012-07-26

OAAI

Muggleton, Stephen; Chen, Jianzhong

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Biography and future challenges

MACHINE LEARNING

IF2.9

2011-09-05

OAAI

Muggleton, Stephen; De Raedt, Luc; Poole, David; Bratko, Ivan; Flach, Peter; Inoue, Katsumi; Srinivasan, Ashwin

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Systems analysis of bacterial glycomes

BIOCHEMICAL SOCIETY TRANSACTIONS

IF4.3

2010-09-24

PREAI

Kay, Emily; Lesk, Victor I.; Tamaddoni-Nezhad, Alireza; Hitchen, Paul G.; Dell, Anne; Sternberg, Michael J.; Muggleton, Stephen; Wren, Brendan W.

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The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause

MACHINE LEARNING

IF2.9

2009-06-12

OAAI

Tamaddoni-Nezhad, Alireza; Muggleton, Stephen

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Structured machine learning: the next ten years

MACHINE LEARNING

IF2.9

2008-08-20

OAAI

Dietterich, Thomas G.; Domingos, Pedro; Getoor, Lise; Muggleton, Stephen; Tadepalli, Prasad

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Research Directions