Publications (Computational Statistics and Machine Learning) Publications O’Cathail, S. et al. (2020) “NRF2 metagene signature is a novel prognostic biomarker in colorectal cancer”, Cancer Genetics, 248, pp. 1–10. Pompe, E., Holmes, C. and Łatuszyński, K. (2020) “A framework for adaptive MCMC targeting multimodal distributions”, The Annals of Statistics, 48(5), pp. 2930–2952. Mateen, B. et al. (2020) “Improving the quality of machine learning in health applications and clinical research”, Nature Machine Intelligence, 2(10), pp. 554–556. Bozhilova, L. et al. (2020) “COGENT: evaluating the consistency of gene co-expression networks”, Bioinformatics, 37(13), pp. 1928–1929. Liu, X. et al. (2020) “Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension”, Lancet Digital Health, 2(10), pp. e537 - e548. Cruz Rivera, S. et al. (2020) “Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension”, Lancet Digital Health, 2(10), pp. e549 - e560. Elliott, A. et al. (2020) “Core-periphery structure in directed networks”, Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, 476(2241). Chan, A.-W. et al. (2020) “Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension”, Nature Medicine, 26(9), pp. 1364–1374. Fitzsimons, J. et al. (2020) “A note on blind contact tracing at scale with applications to the COVID-19 pandemic”, in. Association for Computing Machinery (ACM), pp. 1–6. Xu, J. et al. (2020) “MetaFun: meta-learning with iterative functional updates”, Proceedings of the 37th International Conference on Machine Learning, pp. 10617–10627. Pagination First page First Previous page ‹ … Page 29 Page 30 Page 31 Page 32 Page 33 Page 34 Page 35 Page 36 Page 37 … Next page › Last page Last