Zois Boukouvalas

According to our database1, Zois Boukouvalas authored at least 17 papers between 2015 and 2020.

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Bibliography

2020
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19.
CoRR, 2020

2019
A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.
NeuroImage, 2019

Deep learning for molecular generation and optimization - a review of the state of the art.
CoRR, 2019

Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora.
CoRR, 2019

Efficient Parameter Estimation For Semi-Continuous Data: An Application To Independent Component Analysis.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018
Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis.
J. Frankl. Inst., 2018

Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning.
CoRR, 2018

Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Non-orthogonal constrained independent vector analysis: Application to data fusion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Power spectra constrained IVA for enhanced detection of SSVEP content.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016
On the characterization, generation, and efficient estimation of the complex multivariate GGD.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

IVA for abandoned object detection: Exploiting dependence across color channels.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation.
IEEE Signal Process. Lett., 2015

Density estimation by entropy maximization with kernels.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

An efficient multivariate generalized Gaussian distribution estimator: Application to IVA.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015


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