Ankit Parekh

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations.
npj Digit. Medicine
Li Zhou, Andreas Brink-Kjaer, Katarina Mary Gunter, Salonee Marwaha, Ambra Stefani, Birgit Högl, Michele T. Hu, Emmanuel Mignot, Ankit Parekh, Qi Tang, Merve Aktan-Süzgün, Bei Huang, Shi Tang, Siyi Gong, Yuhua Yang, Xie Chen, Jianzhang Ni, Ningning Li, Zhixuan He, Yun Kwok Wing, Emmanuel During
2024 — conf
Machine Learning Model Combining Ventilatory, Hypoxic, Arousal Domains Across Sleep Better Predicts Adverse Consequences of Obstructive Sleep Apnea.
EMBC
Sajila D. Wickramaratne, Kam Korey, Thomas M. Tolbert, Andrew W. Varga, Indu Ayappa, David M. Rapoport, Ankit Parekh
2023 — conf
SleepSIM: Conditional GAN-based non-REM sleep EEG Signal Generator.
EMBC
Sajila D. Wickramaratne, Ankit Parekh
2020 — conf
Explainable Deep-Fake Detection Using Visual Interpretability Methods.
ICICT
Badhrinarayan Malolan, Ankit Parekh, Faruk Kazi
2019 J jnl
Stable Principal Component Pursuit via Convex Analysis.
IEEE Trans. Signal Process.
Lei Yin, Ankit Parekh, Ivan W. Selesnick
2017 J jnl
Improved sparse low-rank matrix estimation.
Signal Process.
Ankit Parekh, Ivan W. Selesnick
2016 J jnl
Enhanced Low-Rank Matrix Approximation.
IEEE Signal Process. Lett.
Ankit Parekh, Ivan W. Selesnick
2016 J jnl
Improved Sparse Low-Rank Matrix Estimation.
CoRR
Ankit Parekh, Ivan W. Selesnick
2015 J jnl
Convex 1-D Total Variation Denoising with Non-convex Regularization.
IEEE Signal Process. Lett.
Ivan W. Selesnick, Ankit Parekh, Ilker Bayram
2015 J jnl
Convex Denoising using Non-Convex Tight Frame Regularization.
CoRR
Ankit Parekh, Ivan W. Selesnick
2015 J jnl
Convex Denoising using Non-Convex Tight Frame Regularization.
IEEE Signal Process. Lett.
Ankit Parekh, Ivan W. Selesnick
2015 J jnl
Enhanced Low-Rank Matrix Approximation.
CoRR
Ankit Parekh, Ivan W. Selesnick