Publications

[PDF] J.M. Lane, J. Liang, I. Vlasac, S.G. Anderson, D.A. Bechtold, J. Bowden, R. Emsley, S. Gill, M.A. Little, A.I. Luik, A. Loudon, F.A.J.L. Scheer, S.M. Purcell, S.D. Kyle, D.A. Lawlor, X. Zhu, S. Redline, D.W. Ray, M.K. Rutter, R. Saxena. (2016)
Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits
Nature Genetics (online ahead of print):1546-1718.

[PDF] Y.P. Raykov, A. Boukouvalas, F. Baig, M.A. Little. (2016)
What to do when K-means clustering fails: a simple yet principled alternative algorithm
PLoS One, 11(9):e0162259

[PDF] A.L. Silva de Lima, T. Hahn, N. de Vries, E. Cohen, L. Bataille, M.A Little, H. Baldus, B.R. Bloem, M.J. Faber. (2016)
The Parkinson@Home study protocol: large-scale wearable sensor deployment in Parkinson's patients
JMIR Research Protocols, 5(3):e172

[PDF] Y.P. Raykov, E. Ozer, G. Dasika, A. Boukouvalas, M.A. Little. (2016)
Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction
in (UbiComp 2016): 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Heidelberg, Germany.

[URL] S. Arora, N.P. Visanji, T.A. Mestre, T. Ghate, A.E. Lang, M.A. Little, C. Marras. (2016)
Investigating voice as a biomarker of LRRK2-associated Parkinson's disease (PD)
Movement Disorders, 31 (suppl 2)

[PDF] K.L. Andrzejewski, A.V. Dowling, D. Stamler, T.J. Felong, D.A. Harris, C. Wong, H. Cai, R. Reilmann, M.A. Little, J.T. Gwin, K.M. Biglan, E.R. Dorsey (2016)
Wearable Sensors in Huntington Disease: A Pilot Study
Journal of Huntington's Disease, 5(2):199-206

[PDF] K. Kubota, J. Chen, M.A. Little (2016)
Machine learning for large-scale wearable sensor data in Parkinson disease: concepts, promises, pitfalls and futures
Movement Disorders, 31(9):1314-26

[PDF] A.J. Espay, P. Bonato, F. Nahab, W. Maetzler, J.M. Dean, J. Klucken, B.M. Eskofier, A. Merola, F. Horak, A.E. Lang, R. Reilmann, J. Giuffrida, A. Nieuwboer, M. Horne, M.A. Little, I. Litvan, T. Simuni, E.R. Dorsey, M.A. Burack, K. Kubota, A. Kamondi, C. Godinho, J-F. Daneault, G. Mitsi, L. Krinke, J.M. Hausdorff, B.R. Bloem, S. Papapetropoulos (2016)
Technology in Parkinson disease: challenges and opportunities
Movement Disorders, 31(9):1272-82

[PDF] A. Zhan, M.A. Little, D.A. Harris, S.O. Abiola, E.R. Dorsey, S. Saria, A. Terzis (2016)
High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection
arXiv:1601.00960 [cs]

[PDF] J.M. Lane, I. Vlasac, S.G. Anderson, S. Kyle, W.G. Dixon, D.A. Bechtold, S. Gill, M.A. Little, A. Luik, A. Loudon, R. Emsley, F.A.J.L. Scheer, D.A. Lawlor, S. Redline, D.W. Ray, M.K. Rutter, R. Saxena (2016)
Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UKBiobank
Nature Communications, 7:10889

[PDF] Y.P. Raykov, A. Boukouvalas, M.A. Little (2015)
Iterative collapsed MAP inference for Bayesian nonparametrics
in NIPS 2015 Workshop: Bayesian Nonparametrics: The Next Generation, 2015: Montreal, Canada.

[PDF] Y.P. Raykov, A. Boukouvalas, M.A. Little (2015)
MAP for Exponential Family Dirichlet Process Mixture Models
in NIPS 2015 Workshop: Nonparametric Methods for Large Scale Representation Learning, 2015: Montreal, Canada.

[PDF] S.O. Abiola, K.M. Biglan, E.R. Dorsey, D.A. Harris, M.A. Little, S. Saria, A. Zhan (2015)
Smartphone-PD: Preliminary results of an mHealth application to track and quantify characteristics of Parkinson disease in real-time
Movement Disorders, 30:S568-S633

[PDF] D. Stephenson, M.T. Hu, K. Romero, K. Breen, D. Burn, Y. Ben-Shlomo, A. Bhattaram, M. Isaac, C. Venuto, K. Kubota, M.A. Little, S. Friend, S. Lovestone, H.R. Morris, D. Grosset, M. Sutherland, J. Gallacher, C. Williams-Gray, L.J. Bain, E. Aviles, K. Marek, A.W. Toga, Y. Stark, M.F. Gordon, S. Ford (2015)
Precompetitive data sharing as a catalyst to address unmet needs in Parkinson's disease
Journal of Parkinson's Disease, 5(3):581-594

[PDF] S. Arora, V. Venkataraman, S. Donohue, K.M. Biglan, E.R. Dorsey, M.A. Little (2015)
Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study
Parkinsonism and Related Disorders, 21(6):650-653

[PDF] Y.P. Raykov, A. Boukouvalas, M.A. Little, (2014)
Simple approximate MAP Inference for Dirichlet processes
arXiv:1411.0939v1 [stat.ML]

[PDF] P.J. Moore, M.A. Little, P.E. McSharry, G.M. Goodwin, J.R. Geddes (2014)
Mood dynamics in bipolar disorder
International Journal of Bipolar Disorders, 2:11

[PDF] M.A. Little (2014)
An efficient, approximate path-following algorithm for elastic net based nonlinear spike enhancement
in 22nd European Signal Processing Conference, 2014. EUSIPCO 2014 Proceedings.: Lisbon, Portugal.

[PDF] A. Tsanas, M. Zanartu, M.A. Little C. Fox, L.O. Ramig, G.D. Clifford (2014)
Robust fundamental frequency estimation in sustained vowels: Detailed algorithmic comparisons and information fusion with adaptive Kalman filtering
Journal of the Acoustical Society of America, 135(5):2885.

[PDF] S. Arora, V. Venkataraman, S. Donohue, K.M. Biglan, E.R. Dorsey, M.A. Little (2014)
High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones
in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, 2014. ICASSP 2014 Proceedings.: Florence, Italy.

[PDF] P.J. Moore, M.A. Little, P.E. McSharry, G.M. Goodwin, J.R. Geddes (2014)
Correlates of depression in bipolar disorder
Proceedings of the Royal Society B: Biological Sciences 281(1776):20132320

[PDF] A. Tsanas, M.A. Little, C. Fox, L.O. Ramig (2014)
Objective automatic assessment of rehabilitative speech treatment in Parkinson's disease
IEEE Transactions on Neural Systems and Rehabilitation Engineering 22(1):181-190

[PDF] S. Arora, M.A. Little, P.E. McSharry (2013)
Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product
Studies in Nonlinear Dynamics and Econometrics 17(4):395-420

[PDF] S. Arora, M.A. Little, V. Venkataraman, S. Donohue, K. Biglan, E.R. Dorsey (2013)
High-accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones
Movement Disorders, 28(10):e12

[PDF] B.D. Fulcher, M.A. Little, N.S. Jones (2013)
Highly comparative time-series analysis: the empirical structure of time series and their methods
Journal of the Royal Society Interface, 10;20130048, doi:10.1098/rsif.2013.0048

[PDF] M.A. Little, P. Wicks, T.E. Vaughan, A. Pentland (2013)
Quantifying short term dynamics of Parkinson's disease using self-reported symptom data from an Internet social network
Journal of Medical Internet Research, 2013;15(1):e20, doi:10.2196/jmir.2112

[PDF] M.A. Little, N.S. Jones (2013)
Signal processing for molecular and cellular biological physics: an emerging field
Philosophical Transactions of the Royal Society A 371(1984):20110546, doi:10.1098/rsta.2011.0546

[PDF] P.J. Moore, M.A. Little, P.E. McSharry, J.R. Geddes, G.M. Goodwin (2012)
Forecasting depression in bipolar disorder using cellphone telemonitoring
IEEE Transactions on Biomedical Engineering 59(10):2801-2807

[PDF] A. Tsanas, M.A. Little, P.E. McSharry, J. Spielman, L.O. Ramig (2012)
Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease
IEEE Transactions on Biomedical Engineering, 59(5):1264-1271

[PDF] A. Tsanas, M.A. Little, P.E. McSharry, B.K. Scanlon, S. Papapetropoulos (2012)
Statistical Analysis and Mapping of the Unified Parkinson's Disease Rating Scale to Hoehn and Yahr Staging
Parkinsonism and Related Disorders, 18(5):697-699

[PDF] M.A. Little (2011)
Mathematical Foundations of Nonlinear, Non-Gaussian, and Time-Varying Digital Speech Signal Processing
Lecture Notes in Artificial Intelligence (Springer-Verlag) Volume 7015:9-16, Nonlinear Speech Processing NOLISP 2011, doi:10.1007/978-3-642-25020-0_2

[PDF] M.A. Little, N.S. Jones (2011)
Generalized methods and solvers for noise removal from piecewise constant signals: Part I - Background theory
Proceedings of the Royal Society A, 467(2135):3088-3114, doi:10.1098/rspa.2010.0671

[PDF] M.A. Little, N.S. Jones (2011)
Generalized methods and solvers for noise removal from piecewise constant signals: Part II - New methods
Proceedings of the Royal Society A, 467(2135):3115-3140, doi:10.1098/rspa.2010.0674

[PDF] M.A. Little, B.C. Steel, F. Bai, Y. Sowa, T. Bilyard, D.M. Mueller, R.M. Berry, N.S. Jones (2011)
Steps and bumps: precision extraction of discrete states of molecular machines
Biophysical Journal, 101(2):477-485

[PDF] A. Tsanas, M.A. Little, P.E. McSharry (2011)
A simple filter benchmark for feature selection
Journal of Machine Learning Research (in review)

[PDF] A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig (2010)
Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity
Journal of the Royal Society Interface, 8(59):842-855

[PDF] J.C. Rodda, M.A. Little, H.J.E. Rodda, P.E. McSharry (2010)
A comparative study of the magnitude, frequency and distribution of intense rainfall in the United Kingdom
International Journal of Climatology, 30(12):1776-1783

[PDF] M.A. Little, J.P. Bloomfield (2010)
Robust evidence for random fractal scaling of ground water levels in unconfined aquifers
Journal of Hydrology, 393(3-4):362-369

[PDF] A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig (2010)
Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression
in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010. ICASSP 2010 Proceedings Dallas, Texas, USA. pp. 594-597

[PDF] M.A. Little, Nick S. Jones (2010)
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010. ICASSP 2010 Proceedings Dallas, Texas, USA. pp. 4162-4165

[PDF] A. Tsanas, M.A. Little, Patrick E. McSharry, Lorraine O. Ramig (2009)
Accurate telemonitoring of Parkinson's disease progression by non-invasive speech tests
IEEE Transactions on Biomedical Engineering, 57(4):884-893

[PDF] M.A. Little, Patrick E. McSharry, James W. Taylor (2009)
Generalised linear models for site-specific density forecasting of UK daily rainfall
Monthly Weather Review, 137(3):1031-1047

[PDF] M.A. Little, D.A.E. Costello, M.L. Harries (2009)
Objective dysphonia quantification in vocal fold paralysis: comparing nonlinear with classical measures
Journal of Voice, 25(1):21-31

[PDF] H.J.E. Rodda, M.A. Little, R.G. Wood, N. MacDougall, P.E. McSharry (2009)
A digital archive of extreme rainfalls in the British Isles from 1866 to 1968 based on 'British Rainfall'
Weather, 64(3):71-75

[PDF] M.A. Little, H.J.E. Rodda, P.E. McSharry (2008)
Bayesian objective classification of extreme UK daily rainfall for flood risk applications
Hydrology and Earth Systems Sciences Discussion, 5:3033-3060

[PDF] [HTML] M.A. Little, Patrick E. McSharry, Eric J. Hunter, Jennifer Spielman, Lorraine O. Ramig (2009)
Suitability of dysphonia measurements for telemonitoring of Parkinson's disease
IEEE Transactions on Biomedical Engineering, 56(4):1015-1022

[PDF] M.A. Little, Patrick E. McSharry, James W. Taylor (2008)
Parsimonious modeling of UK daily rainfall for density forecasting
in Geophysical Research Abstracts, EGU General Assembly, Vienna 2008, Volume 10.

[PDF] M.A. Little (2007)
Biomechanically informed nonlinear speech signal processing
D.Phil., Oxford University, Oxford, UK

[PDF] M.A. Little, P.E. McSharry, S.J. Roberts, D.A.E. Costello, I.M. Moroz (2007)
Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection
BioMedical Engineering OnLine 2007, 6:23.

D. Perugini, M. Little, P. Giampiero (2006)
Time series to petrogenesis: analysis of oscillatory zoning patterns in plagioclase crystals from lava flows
Periodico di mineralogia, 75(2-3):263-276.

[PDF] M.A. Little, P.E. McSharry, I.M. Moroz, S.J. Roberts (2006)
Testing the assumptions of linear prediction analysis in normal vowels
Journal of the Acoustical Society of America, 119(1): pp. 549-558.

[PDF] Heesch D., Little M. (2006)
Decision-making in variable environments - a case of group selection and inter-generational conflict?
Theoretical Population Biology, 69(2):121-128

[PDF] M. Little, P. McSharry, I. Moroz, S. Roberts (2006)
Nonlinear, biophysically-informed speech pathology detection
in 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings.: Toulouse, France. pp. II-1080-II-1083.

[PDF] M. Little, P. McSharry, I. Moroz, S. Roberts (2005)
A simple quasi-linear discrete model of vocal fold dynamics.
Lecture Notes in Computer Science (Springer-Verlag), NOLISP 2005, pp. 348-356.

[PDF] M. Little, D. Heesch (2004)
Chaotic root-finding for a small class of polynomials
Journal of Difference Equations and Applications, 10(11):949-953.