Chapters

Lyon R, Rattay T. 2023. Fundamentals of machine learning Kang J, Rattay T, Rosenstein B. Machine Learning and Artificial Intelligence in Radiation Oncology A Guide for Clinicians :3-3 Elsevier 9780128220009 DOI Publisher Url

John K, Chowdhry AK, Lyon R, Rattay T, Strawderman R. 2023. Evaluating machine learning models: From development to clinical deployment Kang J, Rattay T, Rosenstein B. Machine Learning and Artificial Intelligence in Radiation Oncology A Guide for Clinicians :164-191 Elsevier 9780128220009 DOI

Journal article

Aldraimli M, Osman S, Grishchuck D, Ingram S, Lyon R, Mistry A, Oliveira J, Samuel R, Shelley LEA, Soria D, Dwek MV, Aguado-Barrera ME, Azria D, Chang-Claude J, Dunning A, Giraldo A, Green S, Gutiérrez-Enríquez S, Herskind C, van Hulle H, Lambrecht M, Lozza L, Rancati T, Reyes V, Rosenstein BS, de Ruysscher D, de Santis MC, Seibold P, Sperk E, Symonds RP, Stobart H, Taboada-Valadares B, Talbot CJ, Vakaet VJL, Vega A, Veldeman L, Veldwijk MR, Webb A, Weltens C, West CM, Chaussalet TJ, Rattay T. 2022. Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort Advances in Radiation Oncology, 7 DOI Author Url Publisher Url Public Url

Aldraimli M, Soria D, Grishchuck D, Ingram S, Lyon R, Mistry A, Oliveira J, Samuel R, Shelley LEA, Osman S, Dwek MV, Azria D, Chang-Claude J, Gutiérrez-Enríquez S, De Santis MC, Rosenstein BS, De Ruysscher D, Sperk E, Symonds RP, Stobart H, Vega A, Veldeman L, Webb A, Talbot CJ, West CM, Rattay T, Chaussalet TJ. 2021. A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy Computers in Biology and Medicine, 135 DOI Author Url Publisher Url Public Url

Hosenie Z, Bloemen S, Groot P, Lyon R, Scheers B, Stappers B, Stoppa F, Vreeswijk P, De Wet S, Wolt MK, Körding E, McBride V, Le Poole R, Paterson K, Pieterse DLA, Woudt P. 2021. MeerCRAB: MeerLICHT classification of real and bogus transients using deep learning Experimental Astronomy, 51 :319-344 DOI Publisher Url Public Url

Hosenie Z, Lyon R, Stappers B, Mootoovaloo A, McBride V. 2020. Imbalance learning for variable star classification Monthly Notices of the Royal Astronomical Society, 493 :6050-6059 DOI Publisher Url Public Url

Hosenie Z, Lyon RJ, Stappers BW, Mootoovaloo A. 2019. Comparing Multiclass, Binary, and Hierarchical Machine Learning Classification schemes for variable stars Monthly Notices of the Royal Astronomical Society, 488 :4858-4872 DOI Publisher Url Public Url

Lyon RJ, Stappers BW, Levin L, Mickaliger MB, Scaife A. 2019. A processing pipeline for high volume pulsar candidate data streams Astronomy and Computing, 28 DOI Publisher Url Public Url

Michilli D, Hessels JWT, Lyon RJ, Tan CM, Bassa C, Cooper S, Kondratiev VI, Sanidas S, Stappers BW, van Leeuwen J. 2018. Single-pulse classifier for the LOFAR Tied-Array All-sky Survey Monthly Notices of the Royal Astronomical Society, 480 :3457-3467 DOI Publisher Url Public Url

Lyon RJ. 2018. Fifty Years of Candidate Pulsar Selection - What next? Proceedings of the International Astronomical Union, 13 :25-28 DOI Publisher Url Public Url

Levin L, Armour W, Baffa C, Barr E, Cooper S, Eatough R, Ensor A, Giani E, Karastergiou A, Karuppusamy R, Keith M, Kramer M, Lyon R, Mackintosh M, Mickaliger M, van Nieuwpoort R, Pearson M, Prabu T, Roy J, Sinnen O, Spitler L, Spreeuw H, Stappers BW, van Straten W, Williams C, Wang H, Wiesner K. 2018. Pulsar Searches with the SKA Proceedings of the International Astronomical Union, 13 :171-174 DOI Publisher Url Public Url

Tan CM, Lyon RJ, Stappers BW, Cooper S, Hessels JWT, Kondratiev VI, Michilli D, Sanidas S. 2017. Ensemble candidate classification for the LOTAAS pulsar survey Monthly Notices of the Royal Astronomical Society, 474 :4571-4583 DOI Publisher Url Public Url

Lyon RJ, Stappers BW, Cooper S, Brooke JM, Knowles JD. 2016. Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach Monthly Notices of the Royal Astronomical Society, 459 :1104-1123 DOI Publisher Url Public Url

Conference publication

Lyon RJ, Brooke JM, Knowles JD, Stappers BW. 2014. Hellinger Distance Trees for Imbalanced Streams 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR) DOI Publisher Url

Lyon RJ, Brooke JM, Knowles JD, Stappers BW. 2013. A Study on Classification in Imbalanced and Partially-Labelled Data Streams 2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013) DOI Publisher Url

Thesis/Dissertation

Lyon R. WHY ARE PULSARS HARD TO FIND Stappers B, Brooke J, Knowles J.