Zois Boukouvalas

According to our database, Zois Boukouvalas authored at least 31 papers between 2015 and 2024.

Collaborative distances:

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

2024

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

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas

Mach. Learn., September, 2024

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

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas

Mach. Learn., April, 2024

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

Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz

CoRR, 2024

Coded Term Discovery for Online Hate Speech Detection.

Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection.

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Multimodal One-class Learning for Malicious Online Content Detection.

Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas

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.

Monica Puerto, Mason Kellett, Rodanthi Nikopoulou, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung, Zois Boukouvalas

CoRR, 2022

Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events.

Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm.

Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali

Proceedings of the IEEE International Conference on Acoustics, 2021

Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization.

Lucas P. Damasceno, Charles C. Cavalcante, Tülay Adali, Zois Boukouvalas

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.

Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas

Proceedings of the Discovery Science - 24th International Conference, 2021

A Semi-supervised Framework for Misinformation Detection.

Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

IVA using complex multivariate GGD: application to fMRI analysis.

Rami Mowakeaa, Zois Boukouvalas, Qunfang Long, Tülay Adali

Multidimens. Syst. Signal Process., 2020

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

Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali

CoRR, 2020

Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials.

Zois Boukouvalas, Monica Puerto, Daniel C. Elton, Peter W. Chung, Mark D. Fuge

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.

Alexander von Lühmann, Zois Boukouvalas, Klaus-Robert Müller, Tülay Adali

NeuroImage, 2019

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

Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge, Peter W. Chung

CoRR, 2019

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

Daniel C. Elton, Dhruv Turakhia, Nischal Reddy, Zois Boukouvalas, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung

CoRR, 2019

Efficient Parameter Estimation For Semi-Continuous Data: An Application To Independent Component Analysis.

Sai K. Popuri, Zois Boukouvalas

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.

Zois Boukouvalas, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

J. Frankl. Inst., 2018

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

Zois Boukouvalas, Daniel C. Elton, Peter W. Chung, Mark D. Fuge

CoRR, 2018

Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization.

Zois Boukouvalas, Yuri Levin-Schwartz, Rami Mowakeaa, Gengshen Fu, Tülay Adali

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis.

Qunfang Long, Chunying Jia, Zois Boukouvalas, Ben Gabrielson, Darren Emge, Tülay Adali

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis.

Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Non-orthogonal constrained independent vector analysis: Application to data fusion.

Suchita Bhinge, Qunfang Long, Yuri Levin-Schwartz, Zois Boukouvalas, Vince D. Calhoun, Tülay Adali

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Power spectra constrained IVA for enhanced detection of SSVEP content.

Darren Emge, Zois Boukouvalas, Yuri Levin-Schwartz, Suchita Bhinge, Qunfang Long, Tülay Adali

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.

Rami Mowakeaa, Zois Boukouvalas, Tülay Adali, Charles Casimiro Cavalcante

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

IVA for abandoned object detection: Exploiting dependence across color channels.

Suchita Bhinge, Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation.

Zois Boukouvalas, Salem Said, Lionel Bombrun, Yannick Berthoumieu, Tülay Adali

IEEE Signal Process. Lett., 2015

Density estimation by entropy maximization with kernels.

Gengshen Fu, Zois Boukouvalas, Tülay Adali

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

An efficient multivariate generalized Gaussian distribution estimator: Application to IVA.

Zois Boukouvalas, Gengshen Fu, Tülay Adali

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015