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 | 405 | 2015 |
Multilevel thresholding for image segmentation through a fast statistical recursive algorithm S Arora, J Acharya, A Verma, PK Panigrahi Pattern Recognition Letters 29 (2), 119-125, 2008 | 379 | 2008 |
Forecasting electricity smart meter data using conditional kernel density estimation S Arora, JW Taylor Omega 59, 47-59, 2016 | 180 | 2016 |
Cortical and clonal contribution of Tbr2 expressing progenitors in the developing mouse brain NA Vasistha, F García-Moreno, S Arora, AFP Cheung, SJ Arnold, ... Cerebral cortex 25 (10), 3290-3302, 2015 | 178 | 2015 |
Short-term forecasting of anomalous load using rule-based triple seasonal methods S Arora, JW Taylor IEEE transactions on Power Systems 28 (3), 3235-3242, 2013 | 128 | 2013 |
Review of low voltage load forecasting: Methods, applications, and recommendations S Haben, S Arora, G Giasemidis, M Voss, DV Greetham Applied Energy 304, 117798, 2021 | 112 | 2021 |
Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PD S Arora, F Baig, C Lo, TR Barber, MA Lawton, A Zhan, M Rolinski, ... Neurology 91 (16), e1528-e1538, 2018 | 112 | 2018 |
High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones S Arora, V Venkataraman, S Donohue, KM Biglan, ER Dorsey, MA Little 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 109 | 2014 |
Short term load forecasting and the effect of temperature at the low voltage level S Haben, G Giasemidis, F Ziel, S Arora International Journal of Forecasting 35 (4), 1469-1484, 2019 | 93 | 2019 |
Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice S Arora, L Baghai-Ravary, A Tsanas The Journal of the Acoustical Society of America 145 (5), 2871-2884, 2019 | 82 | 2019 |
Rule-based autoregressive moving average models for forecasting load on special days: A case study for France S Arora, JW Taylor European Journal of Operational Research 266 (1), 259-268, 2018 | 80 | 2018 |
A reliable SVD based watermarking schem C Jain, S Arora, PK Panigrahi arXiv preprint arXiv:0808.0309, 2008 | 71 | 2008 |
Big data in Parkinson’s disease: using smartphones to remotely detect longitudinal disease phenotypes J Prince, S Arora, M de Vos Physiological measurement 39 (4), 044005, 2018 | 61 | 2018 |
Metabolomics reveals distinct, antibody-independent, molecular signatures of MS, AQP4-antibody and MOG-antibody disease M Jurynczyk, F Probert, T Yeo, G Tackley, TDW Claridge, A Cavey, ... Acta neuropathologica communications 5, 1-13, 2017 | 51 | 2017 |
Locally adaptive block thresholding method with continuity constraint S Hemachander, A Verma, S Arora, PK Panigrahi Pattern Recognition Letters 28 (1), 119-124, 2007 | 45 | 2007 |
Predicting motor, cognitive & functional impairment in Parkinson's C Lo, S Arora, F Baig, MA Lawton, C El Mouden, TR Barber, C Ruffmann, ... Annals of clinical and translational neurology 6 (8), 1498-1509, 2019 | 44 | 2019 |
Smartphone speech testing for symptom assessment in rapid eye movement sleep behavior disorder and Parkinson’s disease S Arora, C Lo, M Hu, A Tsanas IEEE Access 9, 44813-44824, 2021 | 30 | 2021 |
Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product S Arora, MA Little, PE McSharry Studies in Nonlinear Dynamics and Econometrics 17 (4), 395-420, 2013 | 28 | 2013 |
Assessing Parkinson’s disease at scale using telephone-recorded speech: insights from the Parkinson’s voice initiative S Arora, A Tsanas Diagnostics 11 (10), 1892, 2021 | 27 | 2021 |
Investigating voice as a biomarker for leucine-rich repeat kinase 2-associated Parkinson’s disease S Arora, NP Visanji, TA Mestre, A Tsanas, A AlDakheel, BS Connolly, ... Journal of Parkinson's disease 8 (4), 503-510, 2018 | 27 | 2018 |