Max A Little

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	Összes	2020 óta
Hivatkozások	12835	7775
h-index	45	38
i10-index	82	66

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Társszerzők

E. Ray DorseyProfessor of Neurology, University of RochesterE-mail megerősítve itt: chet.rochester.edu
Bastiaan R. BloemProfessor of movement disorders neurology, Radboudumc, Nijmegen, the NetherlandsE-mail megerősítve itt: radboudumc.nl
Will DixonThe University of ManchesterE-mail megerősítve itt: manchester.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordE-mail megerősítve itt: robots.ox.ac.uk
Mads Græsbøll ChristensenProfessor, Dept. of Electronic Systems, Aalborg UniversityE-mail megerősítve itt: es.aau.dk
Dr. Suchi SariaJohn C. Malone Endowed Chair; Computer Science, Statistics, Medicine, Health Policy, Johns HopkinsE-mail megerősítve itt: cs.jhu.edu
Frank A.J.L. ScheerProfessor of Medicine, Harvard Medical School, Brigham and Women's HospitalE-mail megerősítve itt: rics.bwh.harvard.edu
Susan RedlineProfessor of Sleep Medicine, Harvard Medical SchoolE-mail megerősítve itt: partners.org
Guy M GoodwinEmeritus Professor of Psychiatry, University of OxfordE-mail megerősítve itt: psych.ox.ac.uk
Andreas TerzisGoogle DeepmindE-mail megerősítve itt: google.com
Jack BowdenProfessor of Biomedical Data Science, University of Exeter and Senior Director, Novo Nordisk OxfordE-mail megerősítve itt: exeter.ac.uk
Ben D. FulcherThe University of SydneyE-mail megerősítve itt: sydney.edu.au
Gaël VaroquauxResearch director, INRIAE-mail megerősítve itt: normalesup.org
Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMBE-mail megerősítve itt: upenn.edu
Emre OzerPragmaticE-mail megerősítve itt: pragmaticsemi.com
Brian M BotFred Hutch Cancer CenterE-mail megerősítve itt: fredhutch.org
Anthony E LangUniversity of TorontoE-mail megerősítve itt: uhnres.utoronto.ca
Alex `Sandy' PentlandProfessor MITE-mail megerősítve itt: mit.edu
Ronald PostumaMcGill University, University of MontrealE-mail megerősítve itt: mcgill.ca
Alexis BoukouvalasResearch Engineering Team Lead at DeepMind

Követés

Max A Little

University of Birmingham

E-mail megerősítve itt: mit.edu - Kezdőlap

Machine learning/AI causal inference signal processing applied mathematics computational


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease MA Little, PE McSharry, EJ Hunter, J Spielman, LO Ramig IEEE Transactions on Biomedical Engineering 56 (4), 1015-1022, 2009	1321	2009
Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection MA Little, P McSharry, S Roberts, D Costello, I Moroz BioMedical Engineering OnLine 6, 23, 2007	1071	2007
Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests A Tsanas, MA Little, PE McSharry, LO Ramig IEEE Transactions on Biomedical Engineering 57 (4), 884-893, 2010	925	2010
Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease A Tsanas, MA Little, P McSharry, J Spielman, L Ramig IEEE Transactions on Biomedical Engineering 59 (5), 1264-1271, 2012	826	2012
Technology in Parkinson's disease: Challenges and opportunities AJ Espay, P Bonato, FB Nahab, W Maetzler, JM Dean, J Klucken, ... Movement Disorders 31 (9), 1272-1282, 2016	677	2016
Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates HS Dashti, SE Jones, AR Wood, JM Lane, VT van Hees, H Wang, ... Nature Communications 10, 1100, 2019	524	2019
Highly comparative time-series analysis: the empirical structure of time series and their methods BD Fulcher, MA Little, NS Jones Journal of the Royal Society Interface 10 (83), 20130048, 2013	435	2013
Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study S Arora, V Venkataraman, A Zhan, S Donohue, KM Biglan, ER Dorsey, ... Parkinsonism & related disorders 21 (6), 650-653, 2015	414	2015
Using smartphones and machine learning to quantify Parkinson disease severity: The mobile Parkinson disease score A Zhan, S Mohan, C Tarolli, RB Schneider, JL Adams, S Sharma, ... JAMA Neurology 75 (7), 876-880, 2018	411	2018
Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity A Tsanas, MA Little, PE McSharry, LO Ramig Journal of the Royal Society Interface 8 (59), 842-855, 2011	402	2011
Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits JM Lane, J Liang, I Vlasac, SG Anderson, DA Bechtold, J Bowden, ... Nature Genetics 49, 274–281, 2017	356	2017
Biological and clinical insights from genetics of insomnia symptoms JM Lane, S Jones, H Dashti, A Wood, K Aragam, VT van Hees, ... Nature Genetics 51, 387–393, 2019	345	2019
Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank JM Lane, I Vlasac, SG Anderson, S Kyle, WG Dixon, DA Bechtold, S Gill, ... Nature Communications 7, 10889, 2016	326	2016
Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease A Tsanas, MA Little, C Fox, LO Ramig IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (1 …, 2014	278	2014
Machine learning for large-scale wearable sensor data in Parkinson disease: concepts, promises, pitfalls and futures K Kubota, J Chen, MA Little Movement Disorders 31 (9), 1314-1326, 2016	257	2016
What to do when K-means clustering fails: a simple yet principled alternative algorithm YP Raykov, A Boukouvalas, F Baig, MA Little PLoS One 11 (9), e0162259, 2016	246	2016
Freezing of gait and fall detection in Parkinson’s disease using wearable sensors: a systematic review MJF Ana Ligia Silva de Lima, Luc J. W. Evers, Tim Hahn, Lauren Bataille ... Journal of Neurology 264 (8), 1642–1654, 2017	214	2017
Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes H Wang, JM Lane, SE Jones, HS Dashti, H Ollila, AR Wood, VT van Hees, ... Nature Communications, 2019	198	2019
Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease MJF Ana Lígia Silva de Lima, Tim Hahn, Luc JW Evers, Nienke M de Vries, Eli ... PLoS One 12 (12), e0189161, 2017	182	2017
Using and understanding cross-validation strategies. Perspectives on Saeb et al. MA Little, G Varoquaux, S Saeb, L Lonini, A Jayaraman, DC Mohr, ... GigaScience 6 (5), gix020, 2017	167	2017

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