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
Jenny KrutzinnaSenior Researcher, Department of Media and Communication, University of OsloVerified email at media.uio.no
Carl ÖhmanUppsala UniversityVerified email at statsvet.uu.se
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
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLVerified email at stats.ucl.ac.uk
Christopher R JohnQMULVerified email at qmul.ac.uk
Amy FoulkesUniversity of ManchesterVerified email at manchester.ac.uk
Ian BruceProfessor of Rheumatology, University of ManchesterVerified email at manchester.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
Limor GultchinUniversity of Oxford; The Alan Turing InstituteVerified email at cs.ox.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
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 algorithms: Beyond the black box DS Watson, J Krutzinna, IN Bruce, CE Griffiths, IB McInnes, MR Barnes, ... The BMJ 364, 2019	360	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	275	2019
The rhetoric and reality of anthropomorphism in artificial intelligence D Watson Minds & Machines 29 (3), 414-440, 2019	140	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	130	2020
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	106	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	106	2017
Are the dead taking over Facebook? A Big Data approach to the future of death online CJ Ohman, D Watson Big Data & Society, 2019	94	2019
The Explanation Game: A Formal Framework for Interpretable Machine Learning D Watson, L Floridi Synthese 198 (10), 9211-9242, 2020	81	2020
Spectrum: Fast density-aware spectral clustering for single and multi-omic data C John, D Watson, M Barnes, C Pitzalis, M Lewis Bioinformatics, 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	81	2018
Crowdsourced science: sociotechnical epistemology in the e-research paradigm D Watson, L Floridi Synthese 195 (2), 741–764, 2016	64	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	54	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	53	2021
Conceptual challenges for interpretable machine learning D Watson Synthese 200, 1-33, 2022	46	2022
Testing conditional independence in supervised learning algorithms D Watson, M Wright Machine Learning 110, 2107–2129, 2021	40	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	36	2019
Interpretable machine learning for genomics D Watson Human Genetics, 2021	33	2021
Interferon-α-mediated therapeutic resistance in early rheumatoid arthritis implicates epigenetic reprogramming FAH Cooles, J Tarn, DW Lendrem, N Naamane, CMA Lin, B Millar, ... Annals of the rheumatic diseases 81 (9), 1214-1223, 2022	25	2022
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	23	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	20	2018

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