David S. Watson

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Michael R BarnesProfessor of Bioinformatics, Centre for Translational Bioinformatics, QMULAdresse e-mail validée de qmul.ac.uk
Luciano FloridiYale University - Alma Mater Studiorum University of BolognaAdresse e-mail validée de yale.edu
Christopher E.M. GriffithsProfessor of Dermatology, University of ManchesterAdresse e-mail validée de manchester.ac.uk
Jakob MökanderUniversity of OxfordAdresse e-mail validée de oii.ox.ac.uk
Jenny KrutzinnaSenior Researcher, Department of Media and Communication, University of OsloAdresse e-mail validée de media.uio.no
Carl ÖhmanUppsala UniversityAdresse e-mail validée de statsvet.uu.se
Marvin N. WrightLeibniz Institute for Prevention Research and Epidemiology – BIPS & University of BremenAdresse e-mail validée de leibniz-bips.de
Claudia P CabreraQueen Mary UniversityAdresse e-mail validée de qmul.ac.uk
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCLAdresse e-mail validée de stats.ucl.ac.uk
Myles LewisProfessor of Rheumatology, Queen Mary University of LondonAdresse e-mail validée de qmul.ac.uk
Costantino PitzalisProfessor of Experimental Medicine and Rheumatology QMULAdresse e-mail validée de qmul.ac.uk
Sandra NgQueen Mary University of LondonAdresse e-mail validée de qmul.ac.uk
Christopher R JohnQMULAdresse e-mail validée de qmul.ac.uk
Amy FoulkesUniversity of ManchesterAdresse e-mail validée de manchester.ac.uk
Ian BruceProfessor of Rheumatology, University of ManchesterAdresse e-mail validée de manchester.ac.uk
Kristin BleschPhD Student, University of BremenAdresse e-mail validée de uni-bremen.de
Michael EhrensteinUCLAdresse e-mail validée de ucl.ac.uk
Katriona GoldmannResearch Data Scientist, the Alan Turing InstituteAdresse e-mail validée de turing.ac.uk
Karim BrohiProfessor of Trauma Sciences, Queen Mary University of LondonAdresse e-mail validée de qmul.ac.uk
Hew D TorranceNIHR Clinical Lecturer | SpR in Anaesthetics & Intensive Care Medicine, Imperial CollegeAdresse e-mail validée de imperial.ac.uk

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David S. Watson

Lecturer in Artificial Intelligence, King's College London

Adresse e-mail validée de kcl.ac.uk - Page d'accueil

Machine Learning Philosophy of Science Epistemology Bioinformatics AI Ethics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	426	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	337	2019
The rhetoric and reality of anthropomorphism in artificial intelligence D Watson Minds & Machines 29 (3), 414-440, 2019	179	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	154	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	132	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	117	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	114	2019
Spectrum: Fast density-aware spectral clustering for single and multi-omic data C John, D Watson, M Barnes, C Pitzalis, M Lewis Bioinformatics, 2019	101	2019
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	97	2022
The Explanation Game: A Formal Framework for Interpretable Machine Learning D Watson, L Floridi Synthese 198 (10), 9211-9242, 2020	97	2020
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	91	2018
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	86	2021
Conceptual challenges for interpretable machine learning D Watson Synthese 200, 1-33, 2022	79	2022
Crowdsourced science: sociotechnical epistemology in the e-research paradigm D Watson, L Floridi Synthese 195 (2), 741–764, 2016	69	2016
Testing conditional independence in supervised learning algorithms D Watson, M Wright Machine Learning 110, 2107–2129, 2021	61	2021
The benefits and pitfalls of machine learning for biomarker discovery S Ng, S Masarone, D Watson, M Barnes Cell and Tissue Research, 2023	47	2023
Interpretable machine learning for genomics D Watson Human Genetics, 2021	47	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	44	2019
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	37	2022
The epistemological foundations of data science: a critical analysis J Desai, D Watson, V Wang, M Taddeo, L Floridi Synthese 200 (469), 2022	34*	2022

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