David S. Watson

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Michael R BarnesProfessor of Bioinformatics, Centre for Translational Bioinformatics, QMULVerified email at qmul.ac.uk
Luciano FloridiUniversity of Oxford - Alma Mater Studiorum University of BolognaVerified email at oii.ox.ac.uk
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
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
Christopher R JohnQMULVerified email at qmul.ac.uk
Myles LewisReader in Rheumatology, Queen Mary University of LondonVerified email at qmul.ac.uk
Costantino PitzalisProfessor of Experimental Medicine and Rheumatology QMULVerified email at qmul.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
Vikas KapilClinical Senior Lecturer in Clinical Pharmacology & Cardiovascular MedicineVerified email at qmul.ac.uk
William WadeKing's College LondonVerified email at kcl.ac.uk
Limor GultchinUniversity of Oxford; The Alan Turing InstituteVerified email at cs.ox.ac.uk
Marvin N. WrightLeibniz Institute for Prevention Research and Epidemiology – BIPS & University of BremenVerified email at leibniz-bips.de

David S. Watson

Postdoctoral Research Fellow, University College London

Verified email at ucl.ac.uk - Homepage

Machine Learning Epistemology Bioinformatics Digital 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	203*	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	157	2019
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	72	2017
The rhetoric and reality of anthropomorphism in artificial intelligence D Watson Minds & Machines, 2019	59	2019
Are the dead taking over Facebook? A Big Data approach to the future of death online CJ Ohman, D Watson Big Data & Society, 2019	59	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	56	2020
Crowdsourced science: sociotechnical epistemology in the e-research paradigm D Watson, L Floridi Synthese 195 (2), 741–764, 2016	55	2016
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	49	2018
The Explanation Game: A Formal Framework for Interpretable Machine Learning D Watson, L Floridi Synthese 198 (10), 9211-9242, 2020	35	2020
M3C: Monte Carlo reference-based consensus clustering CR John, D Watson, D Russ, K Goldmann, M Ehrenstein, C Pitzalis, ... Scientific Reports 10 (1), 1-14, 2020	34	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	34	2019
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	24	2019
Testing conditional independence in supervised learning algorithms D Watson, M Wright Machine Learning 110, 2107–2129, 2021	17	2021
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	17	2018
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	17	2017
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	16	2021
Interpretable machine learning for genomics D Watson Human Genetics, 2021	8	2021
Oncometabolite induced primary cilia loss in pheochromocytoma SM O’Toole, DS Watson, TV Novoselova, LEL Romano, PJ King, ... Endocrine-related cancer 26 (1), 165-180, 2019	7	2019
Conceptual challenges for interpretable machine learning D Watson Synthese 200, 1-33, 2022	6	2022
Causal feature learning for utility-maximizing agents D Kinney, D Watson International Conference on Probabilistic Graphical Models 138, 257-268, 2020	5	2020

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