Sohan Seth
Sohan Seth
Lead Data Scientist, University of Edinburgh
Verified email at - Homepage
Cited by
Cited by
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
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
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
Probabilistic archetypal analysis
S Seth, MJA Eugster
Machine learning 102, 85-113, 2016
Compressed signal reconstruction using the correntropy induced metric
S Seth, JC Príncipe
2008 IEEE International Conference on Acoustics, Speech and Signal …, 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
Mixture kernel least mean square
R Pokharel, S Seth, JC Principe
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 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
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
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
Exploration and retrieval of whole-metagenome sequencing samples
S Seth, N Välimäki, S Kaski, A Honkela
Bioinformatics 30 (17), 2471-2479, 2014
On speeding up computation in information theoretic learning
S Seth, JC Príncipe
2009 International Joint Conference on Neural Networks, 2883-2887, 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
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
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
Variable selection: A statistical dependence perspective
S Seth, JC Principe
2010 Ninth International Conference on Machine Learning and Applications …, 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
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
Statistical dependence measure for feature selection in microarray datasets.
V Bolón-Canedo, S Seth, N Sánchez-Marono, A Alonso-Betanzos, ...
ESANN, 2011
Archetypal analysis for nominal observations
S Seth, MJA Eugster
IEEE transactions on pattern analysis and machine intelligence 38 (5), 849-861, 2015
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