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Zois Boukouvalas
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Deep learning for molecular design—a review of the state of the art
DC Elton, Z Boukouvalas, MD Fuge, PW Chung
Molecular Systems Design & Engineering 4 (4), 828-849, 2019
5932019
Applying machine learning techniques to predict the properties of energetic materials
DC Elton, Z Boukouvalas, MS Butrico, MD Fuge, PW Chung
Scientific reports 8 (1), 9059, 2018
2252018
A new blind source separation framework for signal analysis and artifact rejection in functional near-infrared spectroscopy
A von Lühmann, Z Boukouvalas, KR Müller, T Adalı
Neuroimage 200, 72-88, 2019
502019
An efficient multivariate generalized Gaussian distribution estimator: Application to IVA
Z Boukouvalas, GS Fu, T Adalı
2015 49th annual conference on information sciences and systems (CISS), 1-4, 2015
352015
Consistent run selection for independent component analysis: Application to fMRI analysis
Q Long, C Jia, Z Boukouvalas, B Gabrielson, D Emge, T Adali
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
302018
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
DC Elton, D Turakhia, N Reddy, Z Boukouvalas, MD Fuge, RM Doherty, ...
arXiv preprint arXiv:1903.00415, 2019
272019
Sparsity and independence: Balancing two objectives in optimization for source separation with application to fMRI analysis
Z Boukouvalas, Y Levin-Schwartz, VD Calhoun, T Adalı
Journal of the Franklin Institute 355 (4), 1873-1887, 2018
272018
Machine learning of energetic material properties
BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ...
arXiv preprint arXiv:1807.06156, 2018
262018
The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics
Q Long, S Bhinge, Y Levin‐Schwartz, Z Boukouvalas, VD Calhoun, ...
Human brain mapping 40 (2), 489-504, 2019
222019
Non-orthogonal constrained independent vector analysis: Application to data fusion
S Bhinge, Q Long, Y Levin-Schwartz, Z Boukouvalas, VD Calhoun, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
212017
A new Riemannian averaged fixed-point algorithm for MGGD parameter estimation
Z Boukouvalas, S Said, L Bombrun, Y Berthoumieu, T Adalı
IEEE Signal Processing Letters 22 (12), 2314-2318, 2015
212015
Independent vector analysis for data fusion prior to molecular property prediction with machine learning
Z Boukouvalas, DC Elton, PW Chung, MD Fuge
arXiv preprint arXiv:1811.00628, 2018
142018
Independent vector analysis for molecular data fusion: Application to property prediction and knowledge discovery of energetic materials
Z Boukouvalas, M Puerto, DC Elton, PW Chung, MD Fuge
2020 28th European Signal Processing Conference (EUSIPCO), 1030-1034, 2021
122021
The case for latent variable vs deep learning methods in misinformation detection: An application to covid-19
C Moroney, E Crothers, S Mittal, A Joshi, T Adalı, C Mallinson, ...
Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021
102021
Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis
Z Boukouvalas, Y Levin-Schwartz, T Adalı
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
102017
Locally Optimizable Joint Embedding Framework to Design Nitrogen‐rich Molecules that are Similar but Improved
S Balakrishnan, FG VanGessel, Z Boukouvalas, BC Barnes, MD Fuge, ...
Molecular Informatics 40 (7), 2100011, 2021
92021
Independent component analysis for trustworthy cyberspace during high impact events: an application to Covid-19
Z Boukouvalas, C Mallinson, E Crothers, N Japkowicz, A Piplai, S Mittal, ...
arXiv preprint arXiv:2006.01284, 2020
92020
Independent vector analysis using semi-parametric density estimation via multivariate entropy maximization
LP Damasceno, CC Cavalcante, T Adalı, Z Boukouvalas
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
Independent component analysis using semi-parametric density estimation via entropy maximization
Z Boukouvalas, Y Levin-Schwartz, R Mowakeaa, GS Fu, T Adalı
2018 IEEE Statistical Signal Processing Workshop (SSP), 403-407, 2018
72018
Development of ICA and IVA algorithms with application to medical image analysis
Z Boukouvalas
arXiv preprint arXiv:1801.08600, 2018
72018
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Artikler 1–20