| 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 | 571 | 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), 9059, 2018 | 220 | 2018 |
| 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 | 46 | 2019 |
| 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 | 35 | 2015 |
| 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 | 30 | 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 | 27 | 2019 |
| Machine learning of energetic material properties BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ... arXiv preprint arXiv:1807.06156, 2018 | 26 | 2018 |
| 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 | 26 | 2018 |
| 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 | 21 | 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 | 21 | 2017 |
| 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 | 20 | 2015 |
| 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 | 13 | 2018 |
| 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 | 12 | 2021 |
| 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 | 10 | 2021 |
| 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 | 10 | 2017 |
| 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 | 9 | 2021 |
| 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 | 9 | 2020 |
| 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 | 7 | 2021 |
| 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 | 7 | 2018 |
| Development of ICA and IVA algorithms with application to medical image analysis Z Boukouvalas arXiv preprint arXiv:1801.08600, 2018 | 7 | 2018 |
