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Raksha Ramakrishna
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2020 – today
- 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) - [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
- [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) - [c10]Raksha Ramakrishna, György Dán:
Inferring Class-Label Distribution in Federated Learning. AISec@CCS 2022: 45-56 - [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) - 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) - [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
2010 – 2019
- 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) - [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
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