| Meta-interpretive learning as metarule specialisation | 0 | 0.34 | 2022 |
| Correction to: Meta-interpretive learning as metarule specialisation | 0 | 0.34 | 2022 |
| Abductive Learning with Ground Knowledge Base. | 0 | 0.34 | 2021 |
| Abductive Knowledge Induction from Raw Data. | 0 | 0.34 | 2021 |
| Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation | 0 | 0.34 | 2021 |
| Top Program Construction And Reduction For Polynomial Time Meta-Interpretive Learning | 1 | 0.37 | 2021 |
| Turning 30: New Ideas in Inductive Logic Programming | 0 | 0.34 | 2020 |
| Learning higher-order logic programs | 1 | 0.34 | 2020 |
| Special Issue on Semantic Technology. | 0 | 0.34 | 2019 |
| Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. | 6 | 0.45 | 2018 |
| How Much Can Experimental Cost Be Reduced In Active Learning Of Agent Strategies? | 0 | 0.34 | 2018 |
| Meta-Interpretive Learning from noisy images. | 0 | 0.34 | 2018 |
| Meta-Interpretive Learning: Achievements and Challenges (Invited Paper). | 0 | 0.34 | 2017 |
| Approaches and Applications of Inductive Programming (Dagstuhl Seminar 17382). | 0 | 0.34 | 2017 |
| How Does Predicate Invention Affect Human Comprehensibility? | 0 | 0.34 | 2016 |
| Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts. | 4 | 0.45 | 2015 |
| Approaches and Applications of Inductive Programming (Dagstuhl Seminar 15442). | 0 | 0.34 | 2015 |
| Can predicate invention compensate for incomplete background knowledge? | 0 | 0.34 | 2015 |
| Inductive programming meets the real world | 37 | 1.47 | 2015 |
| Meta-Interpretive Learning Of Data Transformation Programs | 7 | 0.50 | 2015 |
| Learning Efficient Logical Robot Strategies Involving Composable Objects. | 9 | 0.63 | 2015 |
| Meta-interpretive learning: application to grammatical inference | 36 | 1.28 | 2014 |
| Bias reformulation for one-shot function induction. | 16 | 0.81 | 2014 |
| Alan Turing and the development of Artificial Intelligence | 0 | 0.34 | 2014 |
| Editors'S Introduction To The Special Issue On "100 Years Of Alan Turing And 20 Years Of Slais" | 0 | 0.34 | 2013 |
| Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited | 46 | 1.46 | 2013 |
| Guest editorial: special issue on Inductive Logic Programming (ILP 2011) | 2 | 0.42 | 2012 |
| Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers | 32 | 1.65 | 2012 |
| Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. | 6 | 0.72 | 2012 |
| Wibl: Workbench For Integrative Biological Learning | 1 | 0.37 | 2011 |
| Machine learning a probabilistic network of ecological interactions | 2 | 0.65 | 2011 |
| Subsumer: A Prolog theta-subsumption engine | 4 | 0.45 | 2010 |
| Knowledge Mining Biological Network Models | 0 | 0.34 | 2010 |
| Stochastic refinement | 0 | 0.34 | 2010 |
| Multi-class protein fold recognition using large margin logic based divide and conquer learning | 3 | 0.41 | 2009 |
| Can ILP be applied to large datasets? | 5 | 0.48 | 2009 |
| ProGolem: A System Based on Relative Minimal Generalisation | 17 | 1.20 | 2009 |
| Chess revision: acquiring the rules of chess variants through FOL theory revision from examples | 3 | 0.43 | 2009 |
| An ILP System for Learning Head Output Connected Predicates | 5 | 0.44 | 2009 |
| Learning Large Margin First Order Decision Lists for Multi-Class Classification | 2 | 0.44 | 2009 |
| A Note on Refinement Operators for IE-Based ILP Systems | 2 | 0.42 | 2008 |
| Protein fold discovery using stochastic logic programs | 2 | 0.37 | 2008 |
| A behavioral comparison of some probabilistic logic models | 4 | 0.45 | 2008 |
| Probabilistic inductive logic programming: theory and applications | 33 | 1.76 | 2008 |
| A customisable multiprocessor for application-optimised inductive logic programming | 0 | 0.34 | 2008 |
| QG/GA: a stochastic search for Progol | 16 | 0.85 | 2008 |
| From ILP to PILP | 0 | 0.34 | 2008 |
| Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 | 10 | 2.30 | 2008 |
| Guest editorial: special issue on Inductive Logic Programming | 3 | 0.42 | 2008 |
| Learning Probabilistic Logic Models from Probabilistic Examples. | 6 | 0.54 | 2008 |
