Zois Boukouvalas
Orcid: 0000-0002-5131-1891
According to our database1,
Zois Boukouvalas
authored at least 29 papers
between 2015 and 2024.
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Bibliography
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
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
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
Proceedings of the Discovery Science - 24th International Conference, 2021
2020
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
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
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
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
IEEE Signal Process. Lett., 2015
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