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Raksha Ramakrishna
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Journal Articles
- 2023
- [j8]Raksha Ramakrishna, Yuqi Shao, György Dán, Nicole Kringos:
Sequential Experiment Design for Parameter Estimation of Nonlinear Systems using a Neural Network Approximator. Eur. J. Control 74: 100859 (2023) - [j7]Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert:
Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism. IEEE Trans. Inf. Forensics Secur. 18: 5096-5108 (2023) - 2022
- [j6]Ezzeldin Shereen, Raksha Ramakrishna, György Dán:
Detection and Localization of PMU Time Synchronization Attacks via Graph Signal Processing. IEEE Trans. Smart Grid 13(4): 3241-3254 (2022) - [j5]Shammya Shananda Saha, Anna Scaglione, Raksha Ramakrishna, Nathan G. Johnson:
Distribution Systems AC State Estimation via Sparse AMI Data Using Graph Signal Processing. IEEE Trans. Smart Grid 13(5): 3636-3649 (2022) - 2021
- [j4]Raksha Ramakrishna, Anna Scaglione:
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid. IEEE Trans. Signal Process. 69: 2725-2739 (2021) - 2020
- [j3]Mahdi Jamei, Raksha Ramakrishna, Teklemariam Tesfay, Reinhard Gentz, Ciaran M. Roberts, Anna Scaglione, Sean Peisert:
Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization. IEEE J. Sel. Areas Commun. 38(1): 180-192 (2020) - [j2]Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione:
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications. IEEE Signal Process. Mag. 37(6): 74-85 (2020) - 2019
- [j1]Raksha Ramakrishna, Anna Scaglione, Vijay Vittal, Emiliano Dall'Anese, Andrey Bernstein:
A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature. IEEE Trans. Signal Process. 67(24): 6368-6383 (2019)
Conference and Workshop Papers
- 2022
- [c10]Raksha Ramakrishna, György Dán:
Inferring Class-Label Distribution in Federated Learning. AISec@CCS 2022: 45-56 - 2020
- [c9]Raksha Ramakrishna, Anna Scaglione:
A Bayesian lower bound for parameters with bounded support priors. CISS 2020: 1-6 - [c8]Raksha Ramakrishna, Nurullah Karakoç, Kari Hreinsson, Anna Scaglione:
Federating Solar, Storage and Communications in the Electric Grid and Internet of things. ICASSP 2020: 9041-9045 - [c7]Ignacio Losada Carreno, Raksha Ramakrishna, Anna Scaglione, Daniel B. Arnold, Ciaran M. Roberts, Sy-Toan Ngo, Sean Peisert, David Pinney:
SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool. SmartGridComm 2020: 1-6 - 2019
- [c6]Raksha Ramakrishna, Anna Scaglione:
On Modeling Voltage Phasor Measurements as Graph Signals. DSW 2019: 275-279 - [c5]Raksha Ramakrishna, Anna Scaglione:
Detection of False Data Injection Attack Using Graph Signal Processing for the Power Grid. GlobalSIP 2019: 1-5 - [c4]Raksha Ramakrishna, Anna Scaglione, Andreas Spanias, Cihan Tepedelenlioglu:
Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing. ICASSP 2019: 4440-4444 - 2018
- [c3]Raksha Ramakrishna, Andrey Bernstein, Emiliano Dall'Anese, Anna Scaglione:
Joint Probabilistic Forecasts of Temperature and Solar Irradiance. ICASSP 2018: 3819-3823 - [c2]Nikhil Ravi, Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione:
Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. SPAWC 2018: 1-5 - 2016
- [c1]Raksha Ramakrishna, Anna Scaglione:
A compressive sensing framework for the analysis of solar Photo-Voltaic power. ACSSC 2016: 308-312
Informal and Other Publications
- 2023
- [i2]Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi, Sean Peisert:
Differential Privacy for Class-based Data: A Practical Gaussian Mechanism. CoRR abs/2306.05578 (2023) - 2022
- [i1]Raksha Ramakrishna, György Dán:
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack. CoRR abs/2211.04157 (2022)
Coauthor Index
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