Zois Boukouvalas
TitoloCitata daAnno
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
252019
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
252018
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
152015
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
112018
Deep learning for molecular generation and optimization-a review of the state of the art
DC Elton, Z Boukouvalas, MD Fuge, PW Chung
arXiv preprint arXiv:1903.04388, 2019
92019
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
82015
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
72018
Machine learning of energetic material properties
BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ...
arXiv preprint arXiv:1807.06156, 2018
52018
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
52017
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
52017
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
4*2019
Independent component analysis by entropy maximization with kernels
Z Boukouvalas, R Mowakeaa, GS Fu, T Adali
arXiv preprint arXiv:1610.07104, 2016
42016
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
42016
Development of ICA and IVA Algorithms with Application to Medical Image Analysis
Z Boukouvalas
arXiv preprint arXiv:1801.08600, 2018
32018
Density estimation by entropy maximization with kernels
GS Fu, Z Boukouvalas, T Adalı
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
32015
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
22019
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
22018
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
22018
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
12019
Power spectra constrained IVA for enhanced detection of SSVEP content
D Emge, Z Boukouvalas, Y Levin-Schwartz, S Bhinge, Q Long, T Adali
2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-5, 2017
12017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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