| 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 | 157 | 2019 |
| 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 | 60 | 2018 |
| 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 | 21 | 2015 |
| 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 | 14 | 2018 |
| 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 | 11 | 2019 |
| 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 | 11 | 2017 |
| 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 | 10 | 2019 |
| 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 | 10 | 2018 |
| 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 | 10 | 2015 |
| Machine learning of energetic material properties BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ... arXiv preprint arXiv:1807.06156, 2018 | 9 | 2018 |
| 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 | 9 | 2017 |
| 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 | 8 | 2019 |
| 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 |
| Development of ICA and IVA Algorithms with Application to Medical Image Analysis Z Boukouvalas arXiv preprint arXiv:1801.08600, 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 | 6 | 2016 |
| 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 | 4 | 2016 |
| Density estimation by entropy maximization with kernels GS Fu, Z Boukouvalas, T Adalı 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 4 | 2015 |
| 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 | 3 | 2018 |
| On the characterization, generation, and efficient estimation of the complex multivariate GGD R Mowakeaa, Z Boukouvalas, T Adalı, C Cavalcante 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 1-5, 2016 | 2 | 2016 |
| 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, M Sudip, ... arXiv preprint arXiv:2006.01284, 2020 | 1 | 2020 |
