Stephen Muggleton

ORCID

Publication Activity (10 Years)

Years Active: 1987-2021
Publications (10 Years): 11

Top Venues

ILP

Mach. Learn.

IJCAI

ILP (Late Breaking Papers)

Publications

Dany Varghese, Roman Bauer, Daniel Baxter-Beard, Stephen Muggleton, Alireza Tamaddoni-Nezhad
Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. ILP (2021)
Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yu-Feng Li, Stephen Muggleton, Yuan Jiang
Abductive Learning with Ground Knowledge Base. IJCAI (2021)
Wang-Zhou Dai, Stephen Muggleton
Abductive Knowledge Induction from Raw Data. IJCAI (2021)
Andrew Cropper, Rolf Morel, Stephen Muggleton
Learning higher-order logic programs. Mach. Learn. 109 (7) (2020)
Ryutaro Ichise, Stephen Muggleton, Kouji Kozaki, Freddy Lécué, Dongyan Zhao, Takahiro Kawamura
Special Issue on Semantic Technology. New Gener. Comput. 37 (4) (2019)
Céline Hocquette, Stephen Muggleton
How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? ILP (2018)
Stephen Muggleton, Wang-Zhou Dai, Claude Sammut, Alireza Tamaddoni-Nezhad, Jing Wen, Zhi-Hua Zhou
Meta-Interpretive Learning from noisy images. Mach. Learn. 107 (7) (2018)
Wang-Zhou Dai, Stephen Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou
Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. ILP (2017)
Ute Schmid, Christina Zeller, Tarek R. Besold, Alireza Tamaddoni-Nezhad, Stephen Muggleton
How Does Predicate Invention Affect Human Comprehensibility? ILP (2016)
Andrew Cropper, Stephen Muggleton
Can predicate invention compensate for incomplete background knowledge? SCAI (2015)
Colin Farquhar, Gudmund Grov, Andrew Cropper, Stephen Muggleton, Alan Bundy
Typed meta-interpretive learning for proof strategies. ILP (Late Breaking Papers) (2015)
Alireza Tamaddoni-Nezhad, David Bohan, Alan Raybould, Stephen Muggleton
Towards Machine Learning of Predictive Models from Ecological Data. ILP (2014)
Stephen Muggleton
Alan Turing and the development of Artificial Intelligence. AI Commun. 27 (1) (2014)
Dianhuan Lin, Eyal Dechter, Kevin Ellis, Joshua B. Tenenbaum, Stephen Muggleton
Bias reformulation for one-shot function induction. ECAI (2014)
Dunja Mladenic, Stephen Muggleton, Ivan Bratko
Editors's Introduction to the Special Issue on "100 Years of Alan Turing and 20 Years of SLAIS". Informatica (Slovenia) 37 (1) (2013)
Ghazal Afroozi Milani, David Bohan, Stuart J. Dunbar, Stephen Muggleton, Alan Raybould, Alireza Tamaddoni-Nezhad
Machine Learning and Text Mining of Trophic Links. ICMLA (2) (2012)
Steve Barker, Andrew J. I. Jones, Antonis C. Kakas, Robert A. Kowalski, Alessio Lomuscio, Rob Miller, Stephen Muggleton, Giovanni Sartor
The Scientific Contribution of Marek Sergot. Logic Programs, Norms and Action (2012)
Stephen Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan
ILP turns 20 - Biography and future challenges. Mach. Learn. 86 (1) (2012)
Stephen Muggleton, Jianzhong Chen
Guest editorial: special issue on Inductive Logic Programming (ILP 2011). Mach. Learn. 89 (3) (2012)
Victor Lesk, Jan Taubert, Christopher J. Rawlings, Stuart J. Dunbar, Stephen Muggleton
WIBL: Workbench for Integrative Biological Learning. J. Integr. Bioinform. 8 (2) (2011)
Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen Muggleton, Pooja Jain, Michael J. E. Sternberg, Charles Baxter, Richard A. Currie, Stuart J. Dunbar, Mark Earll, José Domingo Salazar
Does Multi-Clause Learning Help in Real-World Applications? ILP (2011)
Stephen Muggleton
Knowledge Mining Biological Network Models. Intelligent Information Processing (2010)
Stephen Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie, José Domingo Salazar, Jan Taubert, Michael J. E. Sternberg
Variation of Background Knowledge in an Industrial Application of ILP. ILP (2010)
Jose Santos, Stephen Muggleton
Subsumer: A Prolog theta-subsumption engine. ICLP (Technical Communications) (2010)
Jose Santos, Stephen Muggleton
When Does It Pay Off to Use Sophisticated Entailment Engines in ILP? ILP (2010)
Alireza Tamaddoni-Nezhad, Stephen Muggleton
Stochastic Refinement. ILP (2010)
Niels Pahlavi, Stephen Muggleton
Can HOLL Outperform FOLL? ILP (2010)
Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg
Learning Large Margin First Order Decision Lists for Multi-Class Classification. Discovery Science (2009)
Alireza Tamaddoni-Nezhad, Stephen Muggleton
The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause. Mach. Learn. 76 (1) (2009)
Stephen Muggleton, Aline Paes, Vítor Santos Costa, Gerson Zaverucha
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. ILP (2009)
Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg
Multi-Class protein fold recognition using large margin logic based divide and conquer learning. SIGKDD Explor. 11 (2) (2009)
José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen Muggleton
An ILP System for Learning Head Output Connected Predicates. EPIA (2009)
Hiroaki Watanabe, Stephen Muggleton
Can ILP Be Applied to Large Datasets? ILP (2009)
Stephen Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad
ProGolem: A System Based on Relative Minimal Generalisation. ILP (2009)
Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg
Multi-class protein fold recognition using large margin logic based divide and conquer learning. KDD Workshop on Statistical and Relational Learning in Bioinformatics (2009)
Thomas G. Dietterich, Pedro M. Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli
Structured machine learning: the next ten years. Mach. Learn. 73 (1) (2008)
Stephen Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad
TopLog: ILP Using a Logic Program Declarative Bias. ICLP (2008)
Stephen Muggleton
Developing Robust Synthetic Biology Designs Using a Microfluidic Robot Scientist. SBIA (2008)
Andreas Fidjeland, Wayne Luk, Stephen Muggleton
A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming. BCS Int. Acad. Conf. (2008)
Stephen Muggleton, Alireza Tamaddoni-Nezhad
QG/GA: a stochastic search for Progol. Mach. Learn. 70 (2-3) (2008)
Stephen Muggleton, Ramón P. Otero, Simon Colton
Guest editorial: special issue on Inductive Logic Programming. Mach. Learn. 70 (2-3) (2008)
Stephen Muggleton
From ILP to PILP. SBIA (2008)
Jianzhong Chen, Stephen Muggleton, José Carlos Almeida Santos
Learning probabilistic logic models from probabilistic examples. Mach. Learn. 73 (1) (2008)
Alireza Tamaddoni-Nezhad, Stephen Muggleton
A Note on Refinement Operators for IE-Based ILP Systems. ILP (2008)
Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis (2007)
Jianzhong Chen, Stephen Muggleton, Jose Santos
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning. MLG (2007)
Jianzhong Chen, Stephen Muggleton, Jose Santos
Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract). ILP (2007)
Stephen Muggleton, Alireza Tamaddoni-Nezhad
QG/GA: A Stochastic Search for Progol. ILP (2006)
Stephen Muggleton, Niels Pahlavi
The Complexity of Translating BLPs to RMMs. ILP (2006)
Stephen Muggleton
Towards Chemical Universal Turing Machines. AAAI (2006)
Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg
Multi-class Prediction Using Stochastic Logic Programs. ILP (2006)
Simon Colton, Stephen Muggleton
Mathematical applications of inductive logic programming. Mach. Learn. 64 (1-3) (2006)
Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton
Application of abductive ILP to learning metabolic network inhibition from temporal data. Mach. Learn. 64 (1-3) (2006)
Huma Lodhi, Stephen Muggleton
Computing Confidence Measures in Stochastic Logic Programs. MICAI (2005)
Stephen Muggleton
Machine Learning for Systems Biology. ILP (2005)
Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton
Abduction and induction for learning models of inhibition in metabolic networks. ICMLA (2005)
Hiroaki Watanabe, Stephen Muggleton
Learning Stochastic Logical Automaton. JSAI Workshops (2005)
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg
Support Vector Inductive Logic Programming. Discovery Science (2005)
Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton
05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning (2005)
Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton
05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning (2005)
Huma Lodhi, Stephen Muggleton
Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods. CMSB (2004)
Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen Muggleton, Florencio Pazos
Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. ILP (2004)
Stephen Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe
Induction of Enzyme Classes from Biological Databases. ILP (2003)
Simon Colton, Stephen Muggleton
ILP for Mathematical Discovery. ILP (2003)
Jung-Wook Bang, Alexandros Pappas, Duncan Fyfe Gillies, Stephen Muggleton
Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology. METMBS (2003)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. Comput. Chem. 26 (1) (2002)
Stephen Muggleton
Learning Structure and Parameters of Stochastic Logic Programs. ILP (2002)
Andreas Fidjeland, Wayne Luk, Stephen Muggleton
Scalable acceleration of inductive logic programs. FPT (2002)
Alireza Tamaddoni-Nezhad, Stephen Muggleton
A Genetic Algorithms Approach to ILP. ILP (2002)
Philip G. K. Reiser, Ross D. King, Douglas B. Kell, Stephen Muggleton, Christopher H. Bryant, Stephen G. Oliver
Developing a Logical Model of Yeast Metabolism. Electron. Trans. Artif. Intell. 5 (B) (2001)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. Mach. Learn. 43 (1/2) (2001)
A. P. Cootes, Stephen Muggleton, R. B. Greaves, Michael J. E. Sternberg
Automatic determination of protein fold signatures from structural superpositions. Electron. Trans. Artif. Intell. 5 (B) (2001)
Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan, Alex Whittaker, Simon Topp, Christopher J. Rawlings
Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study. J. Comput. Biol. 8 (5) (2001)
Christopher H. Bryant, Stephen Muggleton, Stephen G. Oliver, Douglas B. Kell, Philip G. K. Reiser, Ross D. King
Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. Electron. Trans. Artif. Intell. 5 (B) (2001)
Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan
Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. ECML (2000)
Stephen Muggleton
Learning Stochastic Logic Programs. Electron. Trans. Artif. Intell. 4 (B) (2000)
Alireza Tamaddoni-Nezhad, Stephen Muggleton
Searching the Subsumption Lattice by a Genetic Algorithm. ILP (2000)
Stephen Muggleton, Christopher H. Bryant
Theory Completion Using Inverse Entailment. ILP (2000)
Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan
Learning Chomsky-like Grammars for Biological Sequence Families. ICML (2000)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
Use of Inductive Logic Programming to Learn Principles of Protein Structure. Electron. Trans. Artif. Intell. 4 (B) (2000)
Stephen Muggleton
Scientific Knowledge Discovery Using Inductive Logic Programming. Commun. ACM 42 (11) (1999)
Stephen Muggleton, Michael Bain
Analogical Prediction. ILP (1999)
Rupert Parson, Khalid Khan, Stephen Muggleton
Theory Recovery. ILP (1999)
Stephen Muggleton
Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic. Artif. Intell. 114 (1-2) (1999)
Stephen Muggleton, David Page
Guest Editors' Introduction: Inductive Logic Programming. J. Log. Program. 40 (2-3) (1999)
Stephen Muggleton
Completing Inverse Entailment. ILP (1998)
Stephen Muggleton
Inductive Logic Programming: Issues, Results and the LLL Challenge (abstract). ECAI (1998)
Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure, Stephen Muggleton, Wim Van Laer
Detecting Traffic Problems with ILP. ILP (1998)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. ILP (1998)
Sam Roberts, Wim Van Laer, Nico Jacobs, Stephen Muggleton, Jeremy Broughton
A Comparison of ILP and Propositional Systems on Propositional Traffic Data. ILP (1998)
Khalid Khan, Stephen Muggleton, Rupert Parson
Repeat Learning Using Predicate Invention. ILP (1998)
Stephen Muggleton
Knowledge Discovery in Biological and Chemical Domains. Discovery Science (1998)
Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science (1998)
Stephen Muggleton
Advances in ILP Theory and Implementations (Abstract). ILP (1998)
Paul W. Finn, Stephen Muggleton, David Page, Ashwin Srinivasan
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. Mach. Learn. 30 (2-3) (1998)
Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
The Predictive Toxicology Evaluation Challenge. IJCAI (1) (1997)
Stephen Muggleton, Donald Michie
Machine Intelligibility and the Duality Principle. Software Agents and Soft Computing (1997)
Stephen Moyle, Stephen Muggleton
Learning Programs in the Event Calculus. ILP (1997)
Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
Carcinogenesis Predictions Using ILP. ILP (1997)
Stephen Muggleton, David Page
Guest Editors' Introduction. Mach. Learn. 26 (2-3) (1997)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stephen Muggleton