Sohan Seth

50 papers A 1B 7C 1Misc 7Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian Supervised Causal Clustering.
CoRR
Luwei Wang, Nazir Lone, Sohan Seth
2025 A conf
Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data.
UAI
Luwei Wang, Kieran Richards, Sohan Seth
2025 — conf
Robust Windowing Harmonisation for Improved Cross-Scanner Generalisation of White Matter Hypoattenuation Segmentation in Brain CT Clinical Scans.
AIiH (2)
Nada Alamoudi, Maria del C. Valdés Hernández, Sohan Seth, Joanna M. Wardlaw, Miguel O. Bernabeu
2025 J jnl
TraCeR: Transformer-Based Competing Risk Analysis with Longitudinal Covariates.
CoRR
Maxmillan Ries, Sohan Seth
2024 — conf
Can Large Language Models Put 2 and 2 Together? Probing for Entailed Arithmetical Relationships.
NeSy (2)
Dagmara Panas, Sohan Seth, Vaishak Belle
2024 J jnl
Can Large Language Models put 2 and 2 together? Probing for Entailed Arithmetical Relationships.
CoRR
Dagmara Panas, Sohan Seth, Vaishak Belle
2023 J jnl
Computational Fluorescence Suppression in Shifted Excitation Raman Spectroscopy.
IEEE Trans. Biomed. Eng.
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
2023 J jnl
Simultaneous Spectral Temporal Modelling for a Time-Resolved Fluorescence Emission Spectrum.
IEEE Trans. Biomed. Eng.
Alexandra C. Adams, András Kufcsák, Katjana Ehrlich, Kevin Dhaliwal, Sohan Seth
2021 J jnl
Census-Independent Population Estimation using Representation Learning.
CoRR
Isaac Neal, Sohan Seth, Gary Watmough, Mamadou Saliou Diallo
2021 J jnl
Towards Sustainable Census Independent Population Estimation in Mozambique.
CoRR
Isaac Neal, Sohan Seth, Gary Watmough, Mamadou Saliou Diallo
2018 J jnl
Estimating Bacterial and Cellular Load in FCFM Imaging.
J. Imaging
Sohan Seth, Ahsan R. Akram, Kevin Dhaliwal, Christopher K. I. Williams
2017 — conf
Estimating Bacterial Load in FCFM Imaging.
MIUA
Sohan Seth, Ahsan R. Akram, Kevin Dhaliwal, Christopher K. I. Williams
2016 J jnl
Archetypal Analysis for Nominal Observations.
IEEE Trans. Pattern Anal. Mach. Intell.
Sohan Seth, Manuel J. A. Eugster
2016 J jnl
Modelling-based experiment retrieval: a case study with gene expression clustering.
Bioinform.
Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski
2016 J jnl
Probabilistic archetypal analysis.
Mach. Learn.
Sohan Seth, Manuel J. A. Eugster
2015 J jnl
Modelling-based experiment retrieval: A case study with gene expression clustering.
CoRR
Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski
2014 J jnl
Exploration and retrieval of whole-metagenome sequencing samples.
Bioinform.
Sohan Seth, Niko Välimäki, Samuel Kaski, Antti Honkela
2014 J jnl
Learning dependence from samples.
Int. J. Bioinform. Res. Appl.
Sohan Seth, José C. Príncipe
2014 Misc conf
Probabilistic kernel least mean squares algorithms.
ICASSP
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
2014 B conf
Quantized mixture kernel least mean square.
IJCNN
Rosha Pokharel, Sohan Seth, José C. Príncipe
2014 — conf
Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods.
ICONIP (2)
Sohan Seth, John Shawe-Taylor, Samuel Kaski
2014 J jnl
Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.
CoRR
Sohan Seth, John Shawe-Taylor, Samuel Kaski
2013 J jnl
Bayesian Extensions of Kernel Least Mean Squares.
CoRR
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
2013 J jnl
Exploration and retrieval of whole-metagenome sequencing samples.
CoRR
Sohan Seth, Niko Välimäki, Samuel Kaski, Antti Honkela
2013 J jnl
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial.
IEEE Signal Process. Mag.
Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe
2013 B conf
Mixture kernel least mean square.
IJCNN
Rosha Pokharel, Sohan Seth, José C. Príncipe
2013 J jnl
Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space.
CoRR
Ritabrata Dutta, Sohan Seth, Samuel Kaski
2012 — conf
An Association Framework to Analyze Dependence Structure in Time Series.
EMBC
Bilal H. Fadlallah, Austin J. Brockmeier, Sohan Seth, Lin Li, Andreas Keil, José C. Príncipe
2012 Misc conf
Analyzing dependence structure of the human brain in response to visual stimuli.
ICASSP
Bilal Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe
2012 J jnl
Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence.
IEEE Trans. Neural Networks Learn. Syst.
Sohan Seth, José Carlos Príncipe
2012 J jnl
Conditional Association.
Neural Comput.
Sohan Seth, José C. Príncipe
2012 B conf
Online efficient learning with quantized KLMS and L1 regularization.
IJCNN
Badong Chen, Songlin Zhao, Sohan Seth, José C. Príncipe
2012 J jnl
Quantifying Cognitive State From EEG Using Dependence Measures.
IEEE Trans. Biomed. Eng.
Bilal Fadlallah, Sohan Seth, Andreas Keil, José Carlos Príncipe
2012 J jnl
Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences.
Neural Comput.
Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe
2011 J jnl
A Unified Framework for Quadratic Measures of Independence.
IEEE Trans. Signal Process.
Sohan Seth, Murali Rao, Il Park, José C. Príncipe
2011 Misc conf
A metric approach toward point process divergence.
ICASSP
Sohan Seth, Austin J. Brockmeier, José Carlos Príncipe
2011 J jnl
A test of independence based on a generalized correlation function.
Signal Process.
Murali Rao, Sohan Seth, Jian-Wu Xu, Yunmei Chen, Hemant D. Tagare, José C. Príncipe
2011 — conf
An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS).
MLSP
Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011 Misc conf
Estimation of symmetric chi-square divergence for point processes.
ICASSP
Il Park, Sohan Seth, Murali Rao, José Carlos Príncipe
2011 B conf
Evaluating dependence in spike train metric spaces.
IJCNN
Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe
2011 — conf
Robust EEG preprocessing for dependence-based condition discrimination.
EMBC
Bilal H. Fadlallah, Sohan Seth, Andreas Keil, José C. Príncipe
2011 B conf
Statistical dependence measure for feature selection in microarray datasets.
ESANN
Verónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José C. Príncipe
2010 B conf
A Test of Granger Non-causality Based on Nonparametric Conditional Independence.
ICPR
Sohan Seth, José C. Príncipe
2010 Misc conf
A conditional distribution function based approach to design nonparametric tests of independence and conditional independence.
ICASSP
Sohan Seth, José C. Príncipe
2010 — conf
A novel family of non-parametric cumulative based divergences for point processes.
NIPS
Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe
2010 — ch.
Correntropy for Random Variables: Properties and Applications in Statistical Inference.
Information Theoretic Learning
Weifeng Liu, Puskal P. Pokharel, Jian-Wu Xu, Sohan Seth
2010 C conf
Variable Selection: A Statistical Dependence Perspective.
ICMLA
Sohan Seth, José C. Príncipe
2009 Misc conf
A new nonparametric measure of conditional independence.
ICASSP
Sohan Seth, Il Park, José C. Príncipe
2009 B conf
On speeding up computation in information theoretic learning.
IJCNN
Sohan Seth, José Carlos Príncipe
2008 Misc conf
Compressed signal reconstruction using the correntropy induced metric.
ICASSP
Sohan Seth, José C. Príncipe