David S. Watson

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Michael R BarnesProfessor of Bioinformatics, Centre for Translational Bioinformatics, QMULVerified email at qmul.ac.uk
Luciano FloridiYale University - Alma Mater Studiorum University of BolognaVerified email at yale.edu
Christopher E.M. GriffithsProfessor of Dermatology, University of ManchesterVerified email at manchester.ac.uk
Carl ÖhmanUppsala UniversityVerified email at statsvet.uu.se
Jenny KrutzinnaSenior Researcher, Department of Media and Communication, University of OsloVerified email at media.uio.no
Myles LewisProfessor of Rheumatology, Queen Mary University of LondonVerified email at qmul.ac.uk
Costantino PitzalisProfessor of Experimental Medicine and Rheumatology QMULVerified email at qmul.ac.uk
Marvin N. WrightLeibniz Institute for Prevention Research and Epidemiology – BIPS & University of BremenVerified email at leibniz-bips.de
Amy FoulkesUniversity of ManchesterVerified email at manchester.ac.uk
Christopher R JohnQMULVerified email at qmul.ac.uk
Ian BruceProfessor of Rheumatology, University of ManchesterVerified email at manchester.ac.uk
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLVerified email at stats.ucl.ac.uk
Karim BrohiProfessor of Trauma Sciences, Queen Mary University of LondonVerified email at qmul.ac.uk
Hew D TorranceNIHR Clinical Lecturer | SpR in Anaesthetics & Intensive Care Medicine, Imperial CollegeVerified email at imperial.ac.uk
Michael EhrensteinUCLVerified email at ucl.ac.uk
Patricia MunroeQueen Mary University of LondonVerified email at qmul.ac.uk
Hannah L NichollsQueen Mary University of LondonVerified email at qmul.ac.uk
Limor GultchinUniversity of Oxford; The Alan Turing InstituteVerified email at cs.ox.ac.uk
Reynolds NJProfessor of dermatology, Newcastle UniversityVerified email at ncl.ac.uk
Amrita AhluwaliaQueen Mary University of LondonVerified email at qmul.ac.uk

David S. Watson

Lecturer in Artificial Intelligence, King's College London

Verified email at kcl.ac.uk - Homepage

Machine Learning Philosophy of Science Epistemology Bioinformatics AI Ethics


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Clinical applications of machine learning: Beyond the black box D Watson, J Krutzinna, IN Bruce, CEM Griffiths, IB McInnes, MR Barnes, ... The British Medical Journal 364, 2019	317*	2019
Molecular Portraits of Early Rheumatoid Arthritis Identify Clinical and Treatment Response Phenotypes M Lewis, M Barnes, K Blighe, K Goldmann, S Rana, J Hackney, ... Cell Reports 28 (9), 2019	251	2019
The rhetoric and reality of anthropomorphism in artificial intelligence D Watson Minds & Machines 29 (3), 414-440, 2019	123	2019
Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci HL Nicholls, CR John, DS Watson, PB Munroe, MR Barnes, CP Cabrera Frontiers in Genetics 11, 350, 2020	113	2020
Signatures of inflammation and impending multiple organ dysfunction in the hyperacute phase of trauma: A prospective cohort study CP Cabrera, J Manson, JM Shepherd, HD Torrance, D Watson, ... PLoS medicine 14 (7), e1002352, 2017	100	2017
M3C: Monte Carlo reference-based consensus clustering CR John, D Watson, D Russ, K Goldmann, M Ehrenstein, C Pitzalis, ... Scientific reports 10 (1), 1816, 2020	81	2020
Are the dead taking over Facebook? A Big Data approach to the future of death online CJ Ohman, D Watson Big Data & Society, 2019	81	2019
Sex differences in the nitrate-nitrite-NO• pathway: Role of oral nitrate-reducing bacteria V Kapil, KS Rathod, RS Khambata, M Bahra, S Velmurugan, A Purba, ... Free Radical Biology and Medicine 126, 113-121, 2018	77	2018
Spectrum: Fast density-aware spectral clustering for single and multi-omic data C John, D Watson, M Barnes, C Pitzalis, M Lewis Bioinformatics, 2019	68	2019
The Explanation Game: A Formal Framework for Interpretable Machine Learning D Watson, L Floridi Synthese 198 (10), 9211-9242, 2020	66	2020
Crowdsourced science: sociotechnical epistemology in the e-research paradigm D Watson, L Floridi Synthese 195 (2), 741–764, 2016	60	2016
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other? J Mökander, P Juneja, DS Watson, L Floridi Minds and Machines 32 (4), 751-758, 2022	44	2022
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice D Watson, L Gultchin, A Taly, L Floridi Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, 2021	43	2021
Testing conditional independence in supervised learning algorithms D Watson, M Wright Machine Learning 110, 2107–2129, 2021	34	2021
A Framework for Multi-Omic Prediction of Treatment Response to Biologic Therapy for Psoriasis AC Foulkes, DS Watson, DF Carr, JG Kenny, T Slidel, R Parslew, ... Journal of Investigative Dermatology 139 (1), 100-107, 2019	34	2019
Conceptual challenges for interpretable machine learning D Watson Synthese 200, 1-33, 2022	32	2022
Interpretable machine learning for genomics D Watson Human Genetics, 2021	25	2021
Research techniques made simple: bioinformatics for genome-scale biology AC Foulkes, DS Watson, CEM Griffiths, RB Warren, W Huber, MR Barnes Journal of Investigative Dermatology 137 (9), e163-e168, 2017	22	2017
The RA-MAP Consortium: a working model for academia–industry collaboration AP Cope, MR Barnes, A Belson, M Binks, S Brockbank, ... Nature Reviews Rheumatology 14 (1), 53, 2018	19	2018
Stochastic causal programming for bounding treatment effects K Padh, J Zeitler, D Watson, M Kusner, R Silva, N Kilbertus 2nd Conference on Causal Learning and Reasoning, 2023	14	2023

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