Dr Andrew Cropper
Junior Research Fellow in Computer Science
Andrew is a Junior Research Fellow in Computer Science where he works on machine learning. He has a PhD in Computer Science from Imperial College London, where he worked with Stephen Muggletonon inductive logic programming, a form of machine learning which learns logic programs from data. He maintains Metagol, an ILP system.
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Publications
You can find full details of Andrew’s publications on DBLP and Google Scholar.
Conferences
- A. Cropper and S.H. Muggleton. Learning higher-order logic programs through abstraction and invention. IJCAI 2016. Slides
- A. Cropper and S.H. Muggleton. Learning efficient logical robot strategies involving composable objects. IJCAI 2015. Slides
- A. Cropper, A. Tamaddoni-Nezhad, and S.H. Muggleton. Meta-interpretive learning of data transformation programs. ILP 2015. Slides
- C. Farquhar, G. Grov, A. Cropper, S.H. Muggleton, and A. Bundy. Typed meta-interpretive learning for proof strategies. ILP 2015.
- A. Cropper and S.H. Muggleton. Can predicate invention compensate for incomplete background knowledge? SCAI 2015. Slides
- A. Cropper and S.H. Muggleton. Logical minimisation of meta-rules within meta-interpretive learning. ILP 2014. Slides
Workshops
- A. Cropper. Identifying and inferring objects from textual descriptions of scenes from books. ICCSW 2014. Slides
Extended abstracts
- A. Cropper. Logic-based inductive synthesis of efficient programs. IJCAI 2016. Slides
- A. Cropper. Learning efficient logic programs. IJCAI 2015. Slides