| Fifty Years of Pulsar Candidate Selection: From simple filters to a new principled real-time classification approach RJ Lyon, BW Stappers, S Cooper, JM Brooke, JD Knowles Monthly Notices of the Royal Astronomical Society 459 (1), 1104-1123, 2016 | 296 | 2016 |
| Hellinger Distance Trees for Imbalanced Streams RJ Lyon, JM Brooke, JD Knowles, BW Stappers Pattern Recognition (ICPR), 2014 22nd International Conference on, 1969-1974, 2014 | 48 | 2014 |
| Single-pulse classifier for the LOFAR Tied-Array All-sky Survey D Michilli, JWT Hessels, RJ Lyon, CM Tan, C Bassa, S Cooper, ... Monthly Notices of the Royal Astronomical Society 480 (3), 3457-3467, 2018 | 47 | 2018 |
| Ensemble candidate classification for the LOTAAS pulsar survey CM Tan, RJ Lyon, BW Stappers, S Cooper, JWT Hessels, VI Kondratiev, ... Monthly Notices of the Royal Astronomical Society 474 (4), 4571-4583, 2018 | 42 | 2018 |
| Imbalance learning for variable star classification Z Hosenie, R Lyon, B Stappers, A Mootoovaloo, V McBride Monthly Notices of the Royal Astronomical Society 493 (4), 6050-6059, 2020 | 39 | 2020 |
| Pulsar Searches with the SKA L Levin, W Armour, C Baffa, E Barr, S Cooper, R Eatough, A Ensor, ... Proceedings of the International Astronomical Union 13 (S337), 171-174, 2017 | 39 | 2017 |
| Comparing Multiclass, Binary, and Hierarchical Machine Learning Classification schemes for variable stars Z Hosenie, RJ Lyon, BW Stappers, A Mootoovaloo Monthly Notices of the Royal Astronomical Society 488 (4), 4858-4872, 2019 | 36 | 2019 |
| Why are pulsars hard to find? RJ Lyon PQDT-UK & Ireland, 2016 | 35 | 2016 |
| A study on classification in imbalanced and partially-labelled data streams RJ Lyon, JM Brooke, JD Knowles, BW Stappers 2013 IEEE International Conference on Systems, Man, and Cybernetics, 1506-1511, 2013 | 31 | 2013 |
| Htru2 R Lyon UCI Machine Learning Repository, 2017 | 19 | 2017 |
| MeerCRAB: MeerLICHT classification of real and bogus transients using deep learning Z Hosenie, S Bloemen, P Groot, R Lyon, B Scheers, B Stappers, F Stoppa, ... Experimental Astronomy 51, 319-344, 2021 | 15 | 2021 |
| Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort M Aldraimli, S Osman, D Grishchuck, S Ingram, R Lyon, A Mistry, ... Advances in Radiation Oncology 7 (3), 100890, 2022 | 9 | 2022 |
| Development and optimization of a machine-learning prediction model for acute desquamation after breast radiation therapy in the multicenter REQUITE cohort M Aldraimli, S Osman, D Grishchuck, S Ingram, R Lyon, A Mistry, ... Advances in radiation oncology 7 (3), 100890, 2022 | 9 | 2022 |
| A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy M Aldraimli, D Soria, D Grishchuck, S Ingram, R Lyon, A Mistry, J Oliveira, ... Computers in Biology and Medicine 135, 104624, 2021 | 5 | 2021 |
| Fundamentals of Machine Learning K Yao, Y Zheng Nanophotonics and Machine Learning: Concepts, Fundamentals, and Applications …, 2023 | 4 | 2023 |
| A processing pipeline for high volume pulsar candidate data streams RJ Lyon, BW Stappers, L Levin, MB Mickaliger, A Scaife Astronomy and Computing, 100291, 2019 | 3 | 2019 |
| Pulsar Feature Lab R Lyon | 3 | 2015 |
| A Processing Pipeline for High Volume Pulsar Data Streams RJ Lyon, BW Stappers, L Levin, MB Mickaliger, A Scaife arXiv preprint arXiv:1810.06012, 2018 | 2 | 2018 |
| Fifty Years of Candidate Pulsar Selection-What next? RJ Lyon Proceedings of the International Astronomical Union 13 (S337), 25-28, 2017 | 2 | 2017 |
| Evaluating machine learning models: From development to clinical deployment J Kang, AK Chowdhry, R Lyon, T Rattay, R Strawderman Machine Learning and Artificial Intelligence in Radiation Oncology A Guide …, 2023 | | 2023 |
