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Frank Soboczenski
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2020 – today
- 2024
- [j6]Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
:
Question answering systems for health professionals at the point of care - a systematic review. J. Am. Medical Informatics Assoc. 31(4): 1009-1024 (2024) - [i9]Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall:
Question answering systems for health professionals at the point of care - a systematic review. CoRR abs/2402.01700 (2024) - 2023
- [j5]Ryan T. Scott
Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 196-207 (2023) - [j4]Lauren M. Sanders
Biological research and self-driving labs in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 208-219 (2023) - 2021
- [c7]Samuel Budd, Arno Blaas, Adrienne Hoarfrost, Kia Khezeli
Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data. LifeTech 2021: 517-521 - [i8]Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski:
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. CoRR abs/2106.05659 (2021) - [i7]Kia Khezeli, Arno Blaas, Frank Soboczenski, Nicholas Chia, John Kalantari:
On Invariance Penalties for Risk Minimization. CoRR abs/2106.09777 (2021) - [i6]Odhran O'Donoghue, Paul Duckworth, Giuseppe Ughi, Linus Scheibenreif, Kia Khezeli, Adrienne Hoarfrost, Samuel Budd, Patrick Foley, Nicholas Chia, John Kalantari, Graham Mackintosh, Frank Soboczenski, Lauren M. Sanders:
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. CoRR abs/2111.07348 (2021) - [i5]Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. CoRR abs/2112.12554 (2021) - [i4]Lauren M. Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. CoRR abs/2112.12582 (2021) - 2020
- [j3]Iain James Marshall, Benjamin E. Nye, Joël Kuiper, Anna Noel-Storr, Rachel Marshall, Rory Maclean
Trialstreamer: A living, automatically updated database of clinical trial reports. J. Am. Medical Informatics Assoc. 27(12): 1903-1912 (2020) - [i3]Byron C. Wallace, Sayantan Saha, Frank Soboczenski, Iain James Marshall:
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. CoRR abs/2008.11293 (2020)
2010 – 2019
- 2019
- [j2]Frank Soboczenski
Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study. BMC Medical Informatics Decis. Mak. 19(1): 96:1-96:12 (2019) - [i2]Adam D. Cobb, Michael D. Himes, Frank Soboczenski, Simone Zorzan, Molly D. O'Beirne, Atilim Günes Baydin, Yarin Gal, Shawn D. Domagal-Goldman, Giada N. Arney, Daniel Angerhausen:
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval. CoRR abs/1905.10659 (2019) - 2018
- [i1]Frank Soboczenski, Michael D. Himes, Molly D. O'Beirne, Simone Zorzan, Atilim Gunes Baydin, Adam D. Cobb, Daniel Angerhausen, Giada N. Arney, Shawn D. Domagal-Goldman:
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval. CoRR abs/1811.03390 (2018) - 2017
- [c6]Benjamin Lesage, David Griffin, Iain Bate, Frank Soboczenski:
Exploring and Understanding Multicore Interference from Observable Factors. Automotive - Safety & Security 2017: 75-88 - [c5]David Griffin
Forecast-based interference: modelling multicore interference from observable factors. RTNS 2017: 198-207 - 2016
- [j1]Frank Soboczenski, Matthew Hudson, Paul A. Cairns
The Effects of Perceptual Interference on Number-Entry Errors. Interact. Comput. 28(2): 208-218 (2016) - 2015
- [c4]Benjamin Lesage, David Griffin
A framework for the evaluation of measurement-based timing analyses. RTNS 2015: 35-44 - [c3]Dorin Maxim, Frank Soboczenski, Iain Bate, Eduardo Tovar
Study of the reliability of statistical timing analysis for real-time systems. RTNS 2015: 55-64 - [c2]David Griffin
Modelling fault dependencies when execution time budgets are exceeded. RTNS 2015: 65-74 - 2014
- [b1]Frank Soboczenski:
The effect of interface elements on transcription tasks to reduce number-entry errors. University of York, UK, 2014 - 2013
- [c1]Frank Soboczenski, Paul A. Cairns
Increasing Accuracy by Decreasing Presentation Quality in Transcription Tasks. INTERACT (2) 2013: 380-394
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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