Max A Little

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

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Max A Little

University of Birmingham

E-mail confirmado em mit.edu - Página inicial

Machine learning/AI causal inference signal processing applied mathematics computational


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	1287	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	1051	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	899	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	810	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	651	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	498	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	419	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	411	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	400	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	397	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	355	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	328	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	320	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	275	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	255	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	242	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	211	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	187	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	177	2017
Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory MA Little, NS Jones Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2011	164	2011

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