基本信息
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Bio
I like to work on methodological aspects of Machine Learning. I find this leads to novel methods with strong foundations: e.g. we have contributed methods for assessing the stability (reproducibility) of variable selection algorithms; methods for hypothesis testing in challenging non-standard scenarios; and, a new theory of ensemble diversity. This has led to applications in areas such as predictive policiing, clinical trials, and design of efficient ML algorithms for plastic electronics.
Research Interests
Papers共 192 篇Author StatisticsCo-AuthorSimilar Experts
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JOURNAL OF MACHINE LEARNING RESEARCH (2023)
CoRR (2023)
Christopher Cawthorne,Natalie Burrows,Roben G. Gieling, Christopher J. Morrow,Duncan Forster, Jamil Gregory,Marc Radigois,Alison Smigova,Muhammad Babur,Kathryn Simpson,Cassandra Hodgkinson,Gavin Brown,
crossref(2023)
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC (2023): 1-4
Emre Ozer,Jedrzej Kufel,John Biggs, Anjit Rana,Francisco J. Rodriguez, Thomas Lee-Clark,Antony Sou,Catherine Ramsdale,Scott White,Suresh Kumar Garlapati,Palaniappan Valliappan,Aiman Rahmanudin,
CoRR (2023)
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