Frank Soboczenski
Frank Soboczenski
Computer Scientist, King's College London
Verified email at kcl.ac.uk - Homepage
TitleCited byYear
A framework for the evaluation of measurement-based timing analyses.
B Lesage, D Griffin, F Soboczenski, I Bate, RI Davis
RTNS, 35-44, 2015
132015
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
Increasing accuracy by decreasing presentation quality in transcription tasks
F Soboczenski, P Cairns, AL Cox
IFIP Conference on Human-Computer Interaction, 380-394, 2013
82013
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
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
42017
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
The effects of perceptual interference on number-entry errors
F Soboczenski, M Hudson, P Cairns
Interacting with Computers 28 (2), 208-218, 2015
22015
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
12019
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
12018
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
12017
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
S El-Sappagh, F Ali, A Hendawi, JH Jang, KS Kwak
BMC medical informatics and decision making 19 (1), 97, 2019
2019
Exoplanetary Atmospheric Retrieval via Bayesian Machine Learning
M Himes, A Cobb, F Soboczenski, S Zorzan, M O'Beirne, AG Baydin, ...
AAS/Division for Extreme Solar Systems Abstracts 4, 2019
2019
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
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
NASA Frontier Development Lab: Astrobiology Team II
MD Himes, MD O’Beirne, F Soboczenski, S Zorzan
2018
The Effect of Interface Elements on Transcription Tasks to Reduce Number-Entry Errors
F Soboczenski
University of York, 2014
2014
Health Informatics
F Soboczenski
2011
Unsupervised learning for thermal anomaly detection on the lunar surface
B Moseley, V Bickel, J Burelbach, D Angerhausen, F Soboczenski, ...
INARA: Intelligent exoplaNet Atmospheric RetrievAl
MD O’Beirne, MD Himes, F Soboczenski, S Zorzan, AD Cobb, AG Baydin, ...
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