| Clinical characteristics of children and young people admitted to hospital with covid-19 in United Kingdom: prospective multicentre observational cohort study OV Swann, KA Holden, L Turtle, L Pollock, CJ Fairfield, TM Drake, S Seth, ... bmj 370, 2020 | 718 | 2020 |
| Monitoring of black tea fermentation process using electronic nose N Bhattacharyya, S Seth, B Tudu, P Tamuly, A Jana, D Ghosh, ... Journal of Food Engineering 80 (4), 1146-1156, 2007 | 214 | 2007 |
| Detection of optimum fermentation time for black tea manufacturing using electronic nose N Bhattacharyya, S Seth, B Tudu, P Tamuly, A Jana, D Ghosh, ... Sensors and Actuators B: Chemical 122 (2), 627-634, 2007 | 191 | 2007 |
| Probabilistic archetypal analysis S Seth, MJA Eugster Machine learning 102, 85-113, 2016 | 86 | 2016 |
| Compressed signal reconstruction using the correntropy induced metric S Seth, JC Príncipe 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 78 | 2008 |
| Kernel methods on spike train space for neuroscience: a tutorial IM Park, S Seth, ARC Paiva, L Li, JC Principe IEEE Signal Processing Magazine 30 (4), 149-160, 2013 | 74 | 2013 |
| Mixture kernel least mean square R Pokharel, S Seth, JC Principe The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013 | 53 | 2013 |
| A test of independence based on a generalized correlation function M Rao, S Seth, J Xu, Y Chen, H Tagare, JC Príncipe Signal Processing 91 (1), 15-27, 2011 | 46 | 2011 |
| scID uses discriminant analysis to identify transcriptionally equivalent cell types across single-cell RNA-seq data with batch effect K Boufea, S Seth, NN Batada Iscience 23 (3), 2020 | 45 | 2020 |
| Endoscopic sensing of alveolar pH D Choudhury, MG Tanner, S McAughtrie, F Yu, B Mills, TR Choudhary, ... Biomedical optics express 8 (1), 243-259, 2017 | 40 | 2017 |
| Exploration and retrieval of whole-metagenome sequencing samples S Seth, N Välimäki, S Kaski, A Honkela Bioinformatics 30 (17), 2471-2479, 2014 | 37 | 2014 |
| On speeding up computation in information theoretic learning S Seth, JC Príncipe 2009 International Joint Conference on Neural Networks, 2883-2887, 2009 | 34 | 2009 |
| Strictly positive-definite spike train kernels for point-process divergences IM Park, S Seth, M Rao, JC Principe Neural computation 24 (8), 2223-2250, 2012 | 33 | 2012 |
| Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework L Li, IM Park, A Brockmeier, B Chen, S Seth, JT Francis, JC Sanchez, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (4 …, 2012 | 32 | 2012 |
| Online efficient learning with quantized KLMS and L1 regularization B Chen, S Zhao, S Seth, JC Principe The 2012 International Joint Conference on Neural Networks (IJCNN), 1-6, 2012 | 32 | 2012 |
| Variable selection: A statistical dependence perspective S Seth, JC Principe 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 32 | 2010 |
| Quantifying cognitive state from EEG using dependence measures B Fadlallah, S Seth, A Keil, J Principe IEEE Transactions on Biomedical Engineering 59 (10), 2773-2781, 2012 | 29 | 2012 |
| Archetypal analysis for nominal observations S Seth, MJA Eugster IEEE transactions on pattern analysis and machine intelligence 38 (5), 849-861, 2015 | 26 | 2015 |
| A unified framework for quadratic measures of independence S Seth, M Rao, I Park, JC Principe IEEE Transactions on Signal Processing 59 (8), 3624-3635, 2011 | 26 | 2011 |
| Statistical dependence measure for feature selection in microarray datasets. V Bolón-Canedo, S Seth, N Sánchez-Marono, A Alonso-Betanzos, ... ESANN, 2011 | 26 | 2011 |
