Frank Soboczenski
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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
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
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
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
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
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
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
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
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
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
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
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
Evaluating mixed criticality scheduling algorithms with realistic workloads
D Griffin, I Bate, B Lesage, F Soboczenski
Proceedings of Workshop on Mixed Criticality (WMC), 2015
On invariance penalties for risk minimization
K Khezeli, A Blaas, F Soboczenski, N Chia, J Kalantari
arXiv preprint arXiv:2106.09777, 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
The effects of perceptual interference on number-entry errors
F Soboczenski, M Hudson, P Cairns
Interacting with Computers 28 (2), 208-218, 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
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
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
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
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