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ORCIDZois Boukouvalas
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2020 – today
- 2024
[j6]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): 2183-2205 (2024)- [j5]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): 7127-7128 (2024) - [c19]Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz:
Coded Term Discovery for Online Hate Speech Detection. DSAA 2024: 1-10 - [i7]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 abs/2401.10841 (2024) - 2023
- [c18]Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas:
Multimodal One-class Learning for Malicious Online Content Detection. IEEE Big Data 2023: 2146-2151 - [c17]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: 1-6 - [i6]Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz:
A Semi-Supervised Framework for Misinformation Detection. CoRR abs/2304.11318 (2023) - 2022
- [c16]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: 253-268 - [i5]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 abs/2206.00773 (2022) - 2021
- [c15]Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz:
A Semi-supervised Framework for Misinformation Detection. DS 2021: 57-66 - [c14]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: 422-432 - [c13]Lucas P. Damasceno, Charles C. Cavalcante, Tülay Adali, Zois Boukouvalas:
Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization. ICASSP 2021: 3715-3719 - [c12]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: 3720-3724 - 2020
- [j4]Rami Mowakeaa, Zois Boukouvalas, Qunfang Long, Tülay Adali:
IVA using complex multivariate GGD: application to fMRI analysis. Multidimens. Syst. Signal Process. 31(2): 725-744 (2020) - [c11]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: 1030-1034 - [i4]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 abs/2006.01284 (2020)
2010 – 2019
- 2019
- [j3]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: 72-88 (2019) - [c10]Sai K. Popuri, Zois Boukouvalas:
Efficient Parameter Estimation For Semi-Continuous Data: An Application To Independent Component Analysis. MLSP 2019: 1-6 - [i3]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 abs/1903.00415 (2019) - [i2]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 abs/1903.04388 (2019) - 2018
- [j2]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): 1873-1887 (2018) - [c9]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: 2581-2585 - [c8]Zois Boukouvalas, Yuri Levin-Schwartz, Rami Mowakeaa, Gengshen Fu, Tülay Adali:
Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization. SSP 2018: 403-407 - [i1]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 abs/1811.00628 (2018) - 2017
- [c7]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: 1-5 - [c6]Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali:
Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis. ICASSP 2017: 2532-2536 - [c5]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: 2666-2670 - 2016
- [c4]Suchita Bhinge, Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali:
IVA for abandoned object detection: Exploiting dependence across color channels. ICASSP 2016: 2494-2498 - [c3]Rami Mowakeaa, Zois Boukouvalas, Tülay Adali, Charles Casimiro Cavalcante:
On the characterization, generation, and efficient estimation of the complex multivariate GGD. SAM 2016: 1-5 - 2015
- [j1]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): 2314-2318 (2015) - [c2]Zois Boukouvalas, Gengshen Fu, Tülay Adali:
An efficient multivariate generalized Gaussian distribution estimator: Application to IVA. CISS 2015: 1-4 - [c1]Gengshen Fu, Zois Boukouvalas, Tülay Adali:
Density estimation by entropy maximization with kernels. ICASSP 2015: 1896-1900
Coauthor Index
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