| L1-norm Tucker Tensor Decomposition DG Chachlakis, A Prater-Bennette, PP Markopoulos IEEE Access 7, 178454-178465, 2019 | 35 | 2019 |
| Overcomplete tensor decomposition via convex optimization Q Li, A Prater, L Shen, G Tang 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015 | 22 | 2015 |
| Scaling and scalability: Provable nonconvex low-rank tensor estimation from incomplete measurements T Tong, C Ma, A Prater-Bennette, E Tripp, Y Chi Journal of Machine Learning Research 23 (163), 1-77, 2022 | 19 | 2022 |
| Dynamic L1-norm Tucker tensor decomposition DG Chachlakis, M Dhanaraj, A Prater-Bennette, PP Markopoulos IEEE Journal of Selected Topics in Signal Processing 15 (3), 587-602, 2021 | 19 | 2021 |
| L1-NORM HIGHER-ORDER SINGULAR-VALUE DECOMPOSITION PP Markopoulos, DG Chachlakis, A Prater-Bennette 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 19 | 2018 |
| Options for multimodal classification based on L1-Tucker decomposition DG Chachlakis, M Dhanaraj, A Prater-Bennette, PP Markopoulos Big Data: Learning, Analytics, and Applications 10989, 177-189, 2019 | 13 | 2019 |
| Spatiotemporal signal classification via principal components of reservoir states A Prater Neural Networks 91, 66-75, 2017 | 13 | 2017 |
| L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis DG Chachlakis, A Prater-Bennette, PP Markopoulos ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Classification via tensor decompositions of echo state networks A Prater 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 8 | 2017 |
| Comparison of echo state network output layer classification methods on noisy data AA Prater 2017 International Joint Conference on Neural Networks (IJCNN), 2644-2651, 2017 | 8 | 2017 |
| Finding Dantzig selectors with a proximity operator based fixed-point algorithm A Prater, L Shen, BW Suter Computational Statistics & Data Analysis 90, 36-46, 2015 | 8 | 2015 |
| Low-Rank Tensor Ring Model for Completing Missing Visual Data MS Asif, A Prater-Bennette ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Fine tuning lasso in an adversarial environment against gradient attacks G Ditzler, A Prater 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 6 | 2017 |
| A super-resolution framework for tensor decomposition Q Li, A Prater, L Shen, G Tang arXiv preprint arXiv:1602.08614, 2016 | 3 | 2016 |
| Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries A Prater, L Shen IET Signal Processing 9 (3), 226-234, 2015 | 3 | 2015 |
| Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries A Prater, L Shen IET Signal Processing 9 (3), 226-234, 2015 | 3 | 2015 |
| Incremental task learning with incremental rank updates R Hyder, K Shao, B Hou, P Markopoulos, A Prater-Bennette, MS Asif Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 2 | 2022 |
| Improved L1-Tucker via L1-Fitting M Mozaffari, PP Markopoulos, A Prater-Bennette 2021 29th European Signal Processing Conference (EUSIPCO), 1075-1079, 2021 | 2 | 2021 |
| Convolutional Auto-Encoder With Tensor-Train Factorization M Sharma, PP Markopoulos, E Saber, MS Asif, A Prater-Bennette Proceedings of the IEEE/CVF International Conference on Computer Vision, 198-206, 2021 | 2 | 2021 |
| Reservoir computing for spatiotemporal signal classification without trained output weights A Prater arXiv preprint arXiv:1604.03073, 2016 | 2 | 2016 |
