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Semantic Technology: 8th Joint International Conference, JIST 2018, Awaji, Japan, November 26-28, 2018, Proceedings

1st ed. 2018., 2018

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

Machine learning, 2015-07, Vol.100 (1), p.49-73

2015

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Inductive Logic Programming: 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings

1, 2024

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Alan Turing and the development of Artificial Intelligence

Ai communications, 2014-01, Vol.27 (1), p.3-10

Muggleton, Stephen

2014

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Learning efficient logic programs

Machine learning, 2019-07, Vol.108 (7), p.1063-1083

2019

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

Machine learning, 2018-07, Vol.107 (7), p.1119-1140

2018

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Inductive logic programming at 30

Machine learning, 2022-01, Vol.111 (1), p.147-172

2022

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Meta-interpretive learning: application to grammatical inference

Machine learning, 2014-01, Vol.94 (1), p.25-49

2014

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Beneficial and harmful explanatory machine learning

Machine learning, 2021-04, Vol.110 (4), p.695-721

2021

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Explanatory machine learning for sequential human teaching

Machine learning, 2023-10, Vol.112 (10), p.3591-3632

2023

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Inductive Logic Programming: 6th International Workshop, ILP-96 Stockholm, Sweden, August 26–28, 1996 Selected Papers

Muggleton, Stephen

1997

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Functional genomic hypothesis generation and experimentation by a robot scientist

Nature, 2004-01, Vol.427 (6971), p.247-252

2004

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Meta-Interpretive Learning: Achievements and Challenges (Invited Paper)

Rules and Reasoning, 2017, Vol.10364, p.1-6

2017

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Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning

New generation computing, 2019-04, Vol.37 (2), p.203-217

2019

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Meta-Interpretive Learning of Data Transformation Programs

Inductive Logic Programming, 2016, Vol.9575, p.46-59

2016

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2020 Computing Exceeding human limits

Nature, 2006-03, Vol.440 (7083), p.409-410

Muggleton, Stephen H

2006

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Structured machine learning: the next ten years

Machine learning, 2008-10, Vol.73 (1), p.3-23

2008

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Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study

BMC bioinformatics, 2012-07, Vol.13 (1), p.162-162, Article 162

2012

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Automated discovery of food webs from ecological data using logic-based machine learning

PloS one, 2011-12, Vol.6 (12), p.e29028-e29028

2011

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Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation

Inductive Logic Programming, 2022, Vol.13191, p.26-40

2022

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Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust

Inductive Logic Programming, 2024, Vol.13779, p.40-51

2024

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Diagnosis of Event Sequences with LFIT

Inductive Logic Programming, 2024, Vol.13779, p.117-126

2024

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Learning the Parameters of Probabilistic Answer Set Programs

Inductive Logic Programming, 2024, Vol.13779, p.1-14

2024

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Learning Assumption-Based Argumentation Frameworks

Inductive Logic Programming, 2024, Vol.13779, p.100-116

2024

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Learning Hierarchical Problem Networks for Knowledge-Based Planning

Inductive Logic Programming, 2024, Vol.13779, p.69-83

2024

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Semantic Technology: 8th Joint International Conference, JIST 2018, Awaji, Japan, November 26-28, 2018, Proceedings

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

Inductive Logic Programming: 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings

Alan Turing and the development of Artificial Intelligence

Learning efficient logic programs

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

Inductive logic programming at 30

Meta-interpretive learning: application to grammatical inference

Beneficial and harmful explanatory machine learning

Explanatory machine learning for sequential human teaching

Inductive Logic Programming: 6th International Workshop, ILP-96 Stockholm, Sweden, August 26–28, 1996 Selected Papers

Functional genomic hypothesis generation and experimentation by a robot scientist

Meta-Interpretive Learning: Achievements and Challenges (Invited Paper)

Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning

Meta-Interpretive Learning of Data Transformation Programs

2020 Computing Exceeding human limits

Structured machine learning: the next ten years

Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study

Automated discovery of food webs from ecological data using logic-based machine learning

Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation

Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust

Diagnosis of Event Sequences with LFIT

Learning the Parameters of Probabilistic Answer Set Programs

Learning Assumption-Based Argumentation Frameworks

Learning Hierarchical Problem Networks for Knowledge-Based Planning

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