Zois Boukouvalas

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Blind Source Separation

Density Estimation

Top Venues

Publications

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. Mach. Learn. 113 (9) (2024)
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. Mach. Learn. 113 (4) (2024)
Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media. CoRR (2024)
Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
A Semi-Supervised Framework for Misinformation Detection. CoRR (2023)
Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas
Multimodal One-class Learning for Malicious Online Content Detection. BigData (2023)
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection. MLSP (2023)
Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas
Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events. DS (2022)
Monica Puerto, Mason Kellett, Rodanthi Nikopoulou, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung, Zois Boukouvalas
Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora. CoRR (2022)
Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali
ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm. ICASSP (2021)
Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
A Semi-supervised Framework for Misinformation Detection. DS (2021)
Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. DS (2021)
Lucas P. Damasceno, Charles C. Cavalcante, Tülay Adali, Zois Boukouvalas
Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization. ICASSP (2021)
Zois Boukouvalas, Monica Puerto, Daniel C. Elton, Peter W. Chung, Mark D. Fuge
Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials. EUSIPCO (2020)
Rami Mowakeaa, Zois Boukouvalas, Qunfang Long, Tülay Adali
IVA using complex multivariate GGD: application to fMRI analysis. Multidimens. Syst. Signal Process. 31 (2) (2020)
Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. CoRR (2020)
Sai K. Popuri, Zois Boukouvalas
Efficient Parameter Estimation For Semi-Continuous Data: An Application To Independent Component Analysis. MLSP (2019)
Daniel C. Elton, Dhruv Turakhia, Nischal Reddy, Zois Boukouvalas, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora. CoRR (2019)
Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge, Peter W. Chung
Deep learning for molecular generation and optimization - a review of the state of the art. CoRR (2019)
Alexander von Lühmann, Zois Boukouvalas, Klaus-Robert Müller, Tülay Adali
A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy. NeuroImage 200 (2019)
Zois Boukouvalas, Yuri Levin-Schwartz, Rami Mowakeaa, Gengshen Fu, Tülay Adali
Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization. SSP (2018)
Zois Boukouvalas, Daniel C. Elton, Peter W. Chung, Mark D. Fuge
Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning. CoRR (2018)
Qunfang Long, Chunying Jia, Zois Boukouvalas, Ben Gabrielson, Darren Emge, Tülay Adali
Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis. ICASSP (2018)
Zois Boukouvalas, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali
Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis. J. Frankl. Inst. 355 (4) (2018)
Darren Emge, Zois Boukouvalas, Yuri Levin-Schwartz, Suchita Bhinge, Qunfang Long, Tülay Adali
Power spectra constrained IVA for enhanced detection of SSVEP content. CISS (2017)
Suchita Bhinge, Qunfang Long, Yuri Levin-Schwartz, Zois Boukouvalas, Vince D. Calhoun, Tülay Adali
Non-orthogonal constrained independent vector analysis: Application to data fusion. ICASSP (2017)
Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali
Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis. ICASSP (2017)
Rami Mowakeaa, Zois Boukouvalas, Tülay Adali, Charles Casimiro Cavalcante
On the characterization, generation, and efficient estimation of the complex multivariate GGD. SAM (2016)
Suchita Bhinge, Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali
IVA for abandoned object detection: Exploiting dependence across color channels. ICASSP (2016)
Gengshen Fu, Zois Boukouvalas, Tülay Adali
Density estimation by entropy maximization with kernels. ICASSP (2015)
Zois Boukouvalas, Gengshen Fu, Tülay Adali
An efficient multivariate generalized Gaussian distribution estimator: Application to IVA. CISS (2015)
Zois Boukouvalas, Salem Said, Lionel Bombrun, Yannick Berthoumieu, Tülay Adali
A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation. IEEE Signal Process. Lett. 22 (12) (2015)