Frank Soboczenski
Title
Cited by
Cited by
Year
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
142015
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
112019
Using decision fusion methods to improve outbreak detection in disease surveillance
G Texier, RS Allodji, L Diop, JB Meynard, L Pellegrin, H Chaudet
BMC medical informatics and decision making 19 (1), 38, 2019
10*2019
Increasing accuracy by decreasing presentation quality in transcription tasks
F Soboczenski, P Cairns, AL Cox
IFIP Conference on Human-Computer Interaction, 380-394, 2013
102013
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
82017
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
82015
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), 96, 2019
72019
Evaluating mixed criticality scheduling algorithms with realistic workloads
D Griffin, I Bate, B Lesage, F Soboczenski
Proceedings of the Workshop on Mixed Criticality Systems (WMC), 2015
72015
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
52015
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
42018
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
42015
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
22017
The effects of perceptual interference on number-entry errors
F Soboczenski, M Hudson, P Cairns
Interacting with Computers 28 (2), 208-218, 2016
22016
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
BC Wallace, S Saha, F Soboczenski, IJ Marshall
arXiv preprint arXiv:2008.11293, 2020
2020
Accurate Machine Learning Atmospheric Retrieval via a Neural Network Surrogate Model for Radiative Transfer
MD Himes, J Harrington, AD Cobb, AG Baydin, F Soboczenski, ...
arXiv preprint arXiv:2003.02430, 2020
2020
Utilizing Deep Reinforcement Learning to Effect Autonomous Orbit Transfers and Intercepts via Electromagnetic Propulsion
G Sutherland, F Soboczenski, A Vlontzos
2020
Trialstreamer: a living, automatically updated database of clinical trial reports
IJ Marshall, B Nye, J Kuiper, A Noel-Storr, R Marshall, R Maclean, ...
medRxiv, 2020
2020
Machine Learning Retrieval of Jovian and Terrestrial Atmospheres
MD Himes, AD Cobb, F Soboczenski, S Zorzan, MD O'Beirne, AG Baydin, ...
AAS, 343.01, 2020
2020
Exoplanetary Atmospheric Retrieval via Bayesian Machine Learning
M Himes, A Cobb, F Soboczenski, S Zorzan, M O'Beirne, AG Baydin, ...
ESS 51, 333.14, 2019
2019
INARA: Intelligent exoplaNet Atmospheric RetrievAl A Machine Learning Retrieval Framework with a Data Set of 3 Million Simulated Exoplanet Atmospheric Spectra
MD OBeirne, MD Himes, F Soboczenski, S Zorzan, AG Baydin, AD Cobb, ...
2019 Astrobiology Science Conference, 2019
2019
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Articles 1–20