| An ensemble of bayesian neural networks for exoplanetary atmospheric retrieval AD Cobb, MD Himes, F Soboczenski, S Zorzan, MD O’Beirne, AG Baydin, ... The astronomical journal 158 (1), 33, 2019 | 46 | 2019 |
| Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study F Soboczenski, TA Trikalinos, J Kuiper, RG Bias, BC Wallace, IJ Marshall BMC medical informatics and decision making 19, 1-12, 2019 | 27 | 2019 |
| Trialstreamer: A living, automatically updated database of clinical trial reports IJ Marshall, B Nye, J Kuiper, A Noel-Storr, R Marshall, R Maclean, ... Journal of the American Medical Informatics Association 27 (12), 1903-1912, 2020 | 23 | 2020 |
| A framework for the evaluation of measurement-based timing analyses B Lesage, D Griffin, F Soboczenski, I Bate, RI Davis Proceedings of the 23rd international conference on real time and networks …, 2015 | 20 | 2015 |
| Forecast-based interference: Modelling multicore interference from observable factors D Griffin, B Lesage, I Bate, F Soboczenski, RI Davis Proceedings of the 25th International Conference on Real-Time Networks and …, 2017 | 19 | 2017 |
| Generating (factual?) narrative summaries of rcts: Experiments with neural multi-document summarization BC Wallace, S Saha, F Soboczenski, IJ Marshall AMIA Summits on Translational Science Proceedings 2021, 605, 2021 | 18 | 2021 |
| Study of the reliability of statistical timing analysis for real-time systems D Maxim, F Soboczenski, I Bate, E Tovar Proceedings of the 23rd International Conference on Real Time and Networks …, 2015 | 13 | 2015 |
| Increasing accuracy by decreasing presentation quality in transcription tasks F Soboczenski, P Cairns, AL Cox Human-Computer Interaction–INTERACT 2013: 14th IFIP TC 13 International …, 2013 | 11 | 2013 |
| State of the evidence: a survey of global disparities in clinical trials IJ Marshall, V L'Esperance, R Marshall, J Thomas, A Noel-Storr, ... BMJ Global Health 6 (1), e004145, 2021 | 10 | 2021 |
| Prototyping crisp: A causal relation and inference search platform applied to colorectal cancer data S Budd, A Blaas, A Hoarfrost, K Khezeli, K D'Silva, F Soboczenski, ... 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech …, 2021 | 8 | 2021 |
| Bayesian deep learning for exoplanet atmospheric retrieval F Soboczenski, MD Himes, MD O'Beirne, S Zorzan, AG Baydin, AD Cobb, ... arXiv preprint arXiv:1811.03390, 2018 | 8 | 2018 |
| Visualizing magnitude: Graphical number representations help users detect large number entry errors J Borghouts, F Soboczenski, P Cairns, DP Brumby Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59 (1 …, 2015 | 8 | 2015 |
| Evaluating mixed criticality scheduling algorithms with realistic workloads D Griffin, I Bate, B Lesage, F Soboczenski Proceedings of Workshop on Mixed Criticality (WMC), 2015 | 8 | 2015 |
| On invariance penalties for risk minimization K Khezeli, A Blaas, F Soboczenski, N Chia, J Kalantari arXiv preprint arXiv:2106.09777, 2021 | 7 | 2021 |
| Accurate Machine-learning Atmospheric Retrieval via a Neural-network Surrogate Model for Radiative Transfer MD Himes, J Harrington, AD Cobb, AG Baydin, F Soboczenski, ... The Planetary Science Journal 3 (4), 91, 2022 | 4 | 2022 |
| The effects of perceptual interference on number-entry errors F Soboczenski, M Hudson, P Cairns Interacting with Computers 28 (2), 208-218, 2016 | 4 | 2016 |
| Modelling fault dependencies when execution time budgets are exceeded D Griffin, B Lesage, I Bate, F Soboczenski, RI Davis Proceedings of the 23rd International Conference on Real Time and Networks …, 2015 | 4 | 2015 |
| Exploring and understanding multicore interference from observable factors B Lesage, D Griffin, I Bate, F Soboczenski Automotive-Safety & Security 2017-Sicherheit und Zuverlässigkeit für …, 2017 | 3 | 2017 |
| Beyond low earth orbit: biomonitoring, artificial intelligence, and precision space health RT Scott, EL Antonsen, LM Sanders, JJA Hastings, S Park, G Mackintosh, ... arXiv preprint arXiv:2112.12554, 2021 | 2 | 2021 |
| Invariant risk minimisation for cross-organism inference: substituting mouse data for human data in human risk factor discovery O O'Donoghue, P Duckworth, G Ughi, L Scheibenreif, K Khezeli, ... arXiv preprint arXiv:2111.07348, 2021 | 2 | 2021 |
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
