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2020 – today
- 2024
[c3]Sajila D. Wickramaratne, Kam Korey, Thomas M. Tolbert, Andrew W. Varga, Indu Ayappa, David M. Rapoport, Ankit Parekh:
Machine Learning Model Combining Ventilatory, Hypoxic, Arousal Domains Across Sleep Better Predicts Adverse Consequences of Obstructive Sleep Apnea. EMBC 2024: 1-4- 2023
- [c2]Sajila D. Wickramaratne, Ankit Parekh:
SleepSIM: Conditional GAN-based non-REM sleep EEG Signal Generator. EMBC 2023: 1-4 - 2020
- [c1]Badhrinarayan Malolan, Ankit Parekh, Faruk Kazi:
Explainable Deep-Fake Detection Using Visual Interpretability Methods. ICICT 2020: 289-293
2010 – 2019
- 2019
- [j5]Lei Yin
, Ankit Parekh, Ivan W. Selesnick:
Stable Principal Component Pursuit via Convex Analysis. IEEE Trans. Signal Process. 67(10): 2595-2607 (2019) - 2017
- [j4]Ankit Parekh, Ivan W. Selesnick:
Improved sparse low-rank matrix estimation. Signal Process. 139: 62-69 (2017) - 2016
- [j3]Ankit Parekh, Ivan W. Selesnick:
Enhanced Low-Rank Matrix Approximation. IEEE Signal Process. Lett. 23(4): 493-497 (2016) - [i3]Ankit Parekh, Ivan W. Selesnick:
Improved Sparse Low-Rank Matrix Estimation. CoRR abs/1605.00042 (2016) - 2015
- [j2]Ivan W. Selesnick, Ankit Parekh, Ilker Bayram:
Convex 1-D Total Variation Denoising with Non-convex Regularization. IEEE Signal Process. Lett. 22(2): 141-144 (2015) - [j1]Ankit Parekh, Ivan W. Selesnick:
Convex Denoising using Non-Convex Tight Frame Regularization. IEEE Signal Process. Lett. 22(10): 1786-1790 (2015) - [i2]Ankit Parekh, Ivan W. Selesnick:
Convex Denoising using Non-Convex Tight Frame Regularization. CoRR abs/1504.00976 (2015) - [i1]Ankit Parekh, Ivan W. Selesnick:
Enhanced Low-Rank Matrix Approximation. CoRR abs/1511.01966 (2015)
Coauthor Index
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