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Mahsa Mozaffari
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2020 – today
- 2024
- [j3]Prasanna Reddy Pulakurthi, Mahsa Mozaffari, Sohail A. Dianat, Jamison Heard, Raghuveer M. Rao, Majid Rabbani:
Enhancing GANs With MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition. IEEE Access 12: 174222-174244 (2024) - [c5]Prasanna Reddy Pulakurthi, Mahsa Mozaffari, Sohail A. Dianat, Majid Rabbani, Jamison Heard, Raghuveer Rao:
Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition. ICASSP 2024: 7280-7284 - 2022
- [j2]Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz:
Real-Time Detection and Classification of Power Quality Disturbances. Sensors 22(20): 7958 (2022) - [j1]Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz:
Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings. Sensors 22(21): 8264 (2022) - 2021
- [c4]Mahsa Mozaffari, Panos P. Markopoulos:
Robust Barron-Loss Tucker Tensor Decomposition. ACSCC 2021: 1651-1655 - [c3]Mahsa Mozaffari, Panos P. Markopoulos, Ashley Prater-Bennette:
Improved L1-Tucker via L1-Fitting. EUSIPCO 2021: 1075-1079
2010 – 2019
- 2019
- [c2]Mahsa Mozaffari, Yasin Yilmaz:
Online Anomaly Detection in Multivariate Settings. MLSP 2019: 1-6 - [c1]Keval Doshi, Mahsa Mozaffari, Yasin Yilmaz:
RAPID: Real-time Anomaly-based Preventive Intrusion Detection. WiseML@WiSec 2019: 49-54 - [i1]Mahsa Mozaffari, Yasin Yilmaz:
Online Multivariate Anomaly Detection and Localization for High-dimensional Settings. CoRR abs/1905.07107 (2019)
Coauthor Index
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last updated on 2024-12-23 20:30 CET by the dblp team
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