Sohan Seth

According to our database, Sohan Seth authored at least 42 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Computational Fluorescence Suppression in Shifted Excitation Raman Spectroscopy.

Nia C. Jenkins, Katjana Ehrlich, András Kufcsák, Stephanos Yerolatsitis, Susan Fernandes, Irene Young, Katie Hamilton, Harry A. C. Wood, Tom Quinn, Vikki Young, Ahsan R. Akram, James M. Stone, Robert R. Thomson, Keith Finlayson, Kevin Dhaliwal, Sohan Seth

IEEE Trans. Biomed. Eng., August, 2023

Simultaneous Spectral Temporal Modelling for a Time-Resolved Fluorescence Emission Spectrum.

Alexandra C. Adams, András Kufcsák, Katjana Ehrlich, Kevin Dhaliwal, Sohan Seth

IEEE Trans. Biomed. Eng., August, 2023

2021

Census-Independent Population Estimation using Representation Learning.

Isaac Neal, Sohan Seth, Gary Watmough, Mamadou Saliou Diallo

CoRR, 2021

Towards Sustainable Census Independent Population Estimation in Mozambique.

Isaac Neal, Sohan Seth, Gary Watmough, Mamadou Saliou Diallo

CoRR, 2021

2018

Estimating Bacterial and Cellular Load in FCFM Imaging.

Sohan Seth, Ahsan R. Akram, Kevin Dhaliwal, Christopher K. I. Williams

J. Imaging, 2018

2017

Estimating Bacterial Load in FCFM Imaging.

Sohan Seth, Ahsan R. Akram, Kevin Dhaliwal, Christopher K. I. Williams

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016

Archetypal Analysis for Nominal Observations.

Sohan Seth, Manuel J. A. Eugster

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Probabilistic archetypal analysis.

Sohan Seth, Manuel J. A. Eugster

Mach. Learn., 2016

Modelling-based experiment retrieval: a case study with gene expression clustering.

Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski

Bioinform., 2016

2014

Learning dependence from samples.

Sohan Seth, José C. Príncipe

Int. J. Bioinform. Res. Appl., 2014

Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.

Sohan Seth, John Shawe-Taylor, Samuel Kaski

CoRR, 2014

Exploration and retrieval of whole-metagenome sequencing samples.

Sohan Seth, Niko Välimäki, Samuel Kaski, Antti Honkela

Bioinform., 2014

Quantized mixture kernel least mean square.

Rosha Pokharel, Sohan Seth, José C. Príncipe

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods.

Sohan Seth, John Shawe-Taylor, Samuel Kaski

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Probabilistic kernel least mean squares algorithms.

Il Memming Park, Sohan Seth, Steven Van Vaerenbergh

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Kernel Methods on Spike Train Space for Neuroscience: A Tutorial.

Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe

IEEE Signal Process. Mag., 2013

Bayesian Extensions of Kernel Least Mean Squares.

Il Memming Park, Sohan Seth, Steven Van Vaerenbergh

CoRR, 2013

Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space.

Ritabrata Dutta, Sohan Seth, Samuel Kaski

CoRR, 2013

Mixture kernel least mean square.

Rosha Pokharel, Sohan Seth, José C. Príncipe

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence.

Sohan Seth, José Carlos Príncipe

IEEE Trans. Neural Networks Learn. Syst., 2012

Quantifying Cognitive State From EEG Using Dependence Measures.

Bilal Fadlallah, Sohan Seth, Andreas Keil, José Carlos Príncipe

IEEE Trans. Biomed. Eng., 2012

Conditional Association.

Sohan Seth, José C. Príncipe

Neural Comput., 2012

Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences.

Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe

Neural Comput., 2012

Online efficient learning with quantized KLMS and L1 regularization.

Badong Chen, Songlin Zhao, Sohan Seth, José C. Príncipe

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Analyzing dependence structure of the human brain in response to visual stimuli.

Bilal Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

An Association Framework to Analyze Dependence Structure in Time Series.

Bilal H. Fadlallah, Austin J. Brockmeier, Sohan Seth, Lin Li, Andreas Keil, José C. Príncipe

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

A Unified Framework for Quadratic Measures of Independence.

Sohan Seth, Murali Rao, Il Park, José C. Príncipe

IEEE Trans. Signal Process., 2011

A test of independence based on a generalized correlation function.

Murali Rao, Sohan Seth, Jian-Wu Xu, Yunmei Chen, Hemant D. Tagare, José C. Príncipe

Signal Process., 2011

An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS).

Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Evaluating dependence in spike train metric spaces.

Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A metric approach toward point process divergence.

Sohan Seth, Austin J. Brockmeier, José Carlos Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2011

Estimation of symmetric chi-square divergence for point processes.

Il Park, Sohan Seth, Murali Rao, José Carlos Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2011

Statistical dependence measure for feature selection in microarray datasets.

Verónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José C. Príncipe

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Robust EEG preprocessing for dependence-based condition discrimination.

Bilal H. Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

A novel family of non-parametric cumulative based divergences for point processes.

Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Test of Granger Non-causality Based on Nonparametric Conditional Independence.

Sohan Seth, José C. Príncipe

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Variable Selection: A Statistical Dependence Perspective.

Sohan Seth, José C. Príncipe

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

A conditional distribution function based approach to design nonparametric tests of independence and conditional independence.

Sohan Seth, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2010

Correntropy for Random Variables: Properties and Applications in Statistical Inference.

Weifeng Liu, Puskal P. Pokharel, Jian-Wu Xu, Sohan Seth

Proceedings of the Information Theoretic Learning, 2010

2009

On speeding up computation in information theoretic learning.

Sohan Seth, José Carlos Príncipe

Proceedings of the International Joint Conference on Neural Networks, 2009

A new nonparametric measure of conditional independence.

Sohan Seth, Il Park, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Compressed signal reconstruction using the correntropy induced metric.

Sohan Seth, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2008