Zois Boukouvalas
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Ano
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
2412019
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), 1-12, 2018
902018
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
232015
Machine learning of energetic material properties
BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ...
arXiv preprint arXiv:1807.06156, 2018
152018
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
142019
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
142018
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
142018
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
132017
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
122019
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
122015
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
112019
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
92017
Development of ICA and IVA Algorithms with Application to Medical Image Analysis
Z Boukouvalas
arXiv preprint arXiv:1801.08600, 2018
7*2018
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
6*2018
Independent component analysis by entropy maximization with Kernels
Z Boukouvalas, R Mowakeaa, GS Fu, T Adali
arXiv preprint arXiv:1610.07104, 2016
62016
Deep learning for molecular design—a review of the state of the art. Mol Syst Des Eng 4 (4): 828–849
DC Elton, Z Boukouvalas, MD Fuge, PW Chung
52019
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
52018
IVA for abandoned object detection: Exploiting dependence across color channels
S Bhinge, Z Boukouvalas, Y Levin-Schwartz, T Adali
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
52016
Density estimation by entropy maximization with kernels
GS Fu, Z Boukouvalas, T Adalı
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
52015
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
32021
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