Zois Boukouvalas

42 papers B 10Misc 9Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
EMO-CARE: EEG Multi-Scale Temporal Modeling With Channel-Aware Feature Attention for Robust Subject-Independent Emotion Recognition.
IEEE Open J. Comput. Soc.
Yeganeh Abdollahinejad, Ahmad Mousavi, Petros Siaplaouras, Zois Boukouvalas, Roberto Corizzo
2025 J jnl
An Automated Approach for Domain-Specific Knowledge Graph Generation─Graph Measures and Characterization.
J. Chem. Inf. Model.
Connor O'ryan, Kevin D. Hayes, Francis G. VanGessel, Ruth M. Doherty, William Wilson, John Fischer, Zois Boukouvalas, Peter W. Chung
2025 — conf
Class-Constrained Independent Vector Analysis for Discriminative Multimodal Representation Learning.
ICDM (Workshops)
Marília Maia, Lucas P. Damasceno, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas
2025 J jnl
E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection.
CoRR
Ahmad Mousavi, Yeganeh Abdollahinejad, Roberto Corizzo, Nathalie Japkowicz, Zois Boukouvalas
2025 B conf
Multimodal Fusion of Chest Radiographs and Text Reports for Heart Failure Detection.
IEEE Big Data
Arun Rajaratnam, Zois Boukouvalas
2024 J jnl
A deep fusion model for stock market prediction with news headlines and time series data.
Neural Comput. Appl.
Pinyu Chen, Zois Boukouvalas, Roberto Corizzo
2024 B conf
Coded Term Discovery for Online Hate Speech Detection.
DSAA
Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
2024 J jnl
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn.
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2024 B conf
Event-Based Multi-Modal Fusion for Online Misinformation Detection in High-Impact Events.
IEEE Big Data
Javad Rajabi, Sunday Okechukwu, Ahmad Mousavi, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas
2024 B conf
Explainable RNN Classification of Right Ventricular Dysfunction from Echocardiogram Reports.
IEEE Big Data
Arun Rajaratnam, Roberto Corizzo, Zois Boukouvalas
2024 J jnl
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn.
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2024 B conf
Multimodal Deep Learning for Online Meme Classification.
IEEE Big Data
Stephanie Han, Sebastian Leal-Arenas, Eftim Zdravevski, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo
2024 B conf
On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech Detection.
IEEE Big Data
Nora Lewis, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo
2024 J jnl
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media.
CoRR
Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
2023 J jnl
A Semi-Supervised Framework for Misinformation Detection.
CoRR
Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
2023 — conf
Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection.
MLSP
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2023 B conf
Multimodal One-class Learning for Malicious Online Content Detection.
IEEE Big Data
Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas
2022 J jnl
Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora.
CoRR
Monica Puerto, Mason Kellett, Rodanthi Nikopoulou, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung, Zois Boukouvalas
2022 B conf
Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events.
DS
Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas
2021 B conf
A Semi-supervised Framework for Misinformation Detection.
DS
Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
2021 Misc conf
ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm.
ICASSP
Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali
2021 Misc conf
Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization.
ICASSP
Lucas P. Damasceno, Charles C. Cavalcante, Tülay Adali, Zois Boukouvalas
2021 B conf
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19.
DS
Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas
2020 J jnl
IVA using complex multivariate GGD: application to fMRI analysis.
Multidimens. Syst. Signal Process.
Rami Mowakeaa, Zois Boukouvalas, Qunfang Long, Tülay Adali
2020 J jnl
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19.
CoRR
Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali
2020 — conf
Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials.
EUSIPCO
Zois Boukouvalas, Monica Puerto, Daniel C. Elton, Peter W. Chung, Mark D. Fuge
2019 J jnl
A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.
NeuroImage
Alexander von Lühmann, Zois Boukouvalas, Klaus-Robert Müller, Tülay Adali
2019 J jnl
Deep learning for molecular generation and optimization - a review of the state of the art.
CoRR
Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge, Peter W. Chung
2019 — conf
Efficient Parameter Estimation For Semi-Continuous Data: An Application To Independent Component Analysis.
MLSP
Sai K. Popuri, Zois Boukouvalas
2019 J jnl
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora.
CoRR
Daniel C. Elton, Dhruv Turakhia, Nischal Reddy, Zois Boukouvalas, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung
2018 Misc conf
Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis.
ICASSP
Qunfang Long, Chunying Jia, Zois Boukouvalas, Ben Gabrielson, Darren Emge, Tülay Adali
2018 — conf
Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization.
SSP
Zois Boukouvalas, Yuri Levin-Schwartz, Rami Mowakeaa, Gengshen Fu, Tülay Adali
2018 J jnl
Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning.
CoRR
Zois Boukouvalas, Daniel C. Elton, Peter W. Chung, Mark D. Fuge
2018 J jnl
Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis.
J. Frankl. Inst.
Zois Boukouvalas, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali
2017 Misc conf
Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis.
ICASSP
Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali
2017 Misc conf
Non-orthogonal constrained independent vector analysis: Application to data fusion.
ICASSP
Suchita Bhinge, Qunfang Long, Yuri Levin-Schwartz, Zois Boukouvalas, Vince D. Calhoun, Tülay Adali
2017 Misc conf
Power spectra constrained IVA for enhanced detection of SSVEP content.
CISS
Darren Emge, Zois Boukouvalas, Yuri Levin-Schwartz, Suchita Bhinge, Qunfang Long, Tülay Adali
2016 Misc conf
IVA for abandoned object detection: Exploiting dependence across color channels.
ICASSP
Suchita Bhinge, Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali
2016 — conf
On the characterization, generation, and efficient estimation of the complex multivariate GGD.
SAM
Rami Mowakeaa, Zois Boukouvalas, Tülay Adali, Charles Casimiro Cavalcante
2015 J jnl
A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation.
IEEE Signal Process. Lett.
Zois Boukouvalas, Salem Said, Lionel Bombrun, Yannick Berthoumieu, Tülay Adali
2015 Misc conf
An efficient multivariate generalized Gaussian distribution estimator: Application to IVA.
CISS
Zois Boukouvalas, Gengshen Fu, Tülay Adali
2015 Misc conf
Density estimation by entropy maximization with kernels.
ICASSP
Gengshen Fu, Zois Boukouvalas, Tülay Adali