Zois Boukouvalas

Orcid: 0000-0002-5131-1891

According to our database1, Zois Boukouvalas authored at least 30 papers between 2015 and 2024.

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Bibliography

2024
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn., September, 2024

Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn., April, 2024

Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media.
CoRR, 2024

2023
Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Multimodal One-class Learning for Malicious Online Content Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora.
CoRR, 2022

Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2021

Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2021

The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19.
Proceedings of the Discovery Science - 24th International Conference, 2021

A Semi-supervised Framework for Misinformation Detection.
Proceedings of the Discovery Science - 24th International Conference, 2021

2020
IVA using complex multivariate GGD: application to fMRI analysis.
Multidimens. Syst. Signal Process., 2020

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

Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials.
Proceedings of the 28th European Signal Processing Conference, 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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