| Grid-graph signal processing (grid-GSP): A graph signal processing framework for the power grid R Ramakrishna, A Scaglione IEEE Transactions on Signal Processing 69, 2725-2739, 2021 | 69 | 2021 |
| A user guide to low-pass graph signal processing and its applications: Tools and applications R Ramakrishna, HT Wai, A Scaglione IEEE Signal Processing Magazine 37 (6), 74-85, 2020 | 52 | 2020 |
| Phasor measurement units optimal placement and performance limits for fault localization M Jamei, R Ramakrishna, T Tesfay, R Gentz, C Roberts, A Scaglione, ... IEEE Journal on Selected Areas in Communications 38 (1), 180-192, 2019 | 42 | 2019 |
| Detection of False Data Injection Attack using Graph Signal Processing for the Power Grid R Ramakrishna, A Scaglione 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 33 | 2019 |
| A model for joint probabilistic forecast of solar photovoltaic power and outdoor temperature R Ramakrishna, A Scaglione, V Vittal, E Dall’Anese, A Bernstein IEEE Transactions on Signal Processing 67 (24), 6368-6383, 2019 | 32 | 2019 |
| Detection and localization of pmu time synchronization attacks via graph signal processing E Shereen, R Ramakrishna, G Dán IEEE Transactions on Smart Grid 13 (4), 3241-3254, 2022 | 20 | 2022 |
| Distributed bayesian estimation with low-rank data: Application to solar array processing R Ramakrishna, A Scaglione, A Spanias, C Tepedelenlioglu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 18 | 2019 |
| ON MODELING VOLTAGE PHASOR MEASUREMENTS AS GRAPH SIGNALS R Ramakrishna, A Scaglione IEEE Data Science Workshop 2019, 2019 | 17 | 2019 |
| A Stochastic Model for Short-Term Probabilistic Forecast of Solar Photo-Voltaic Power R Ramakrishna, A Scaglione, V Vittal arXiv preprint arXiv:1706.05445, 2017 | 14 | 2017 |
| A compressive sensing framework for the analysis of solar photo-voltaic power R Ramakrishna, A Scaglione 2016 50th Asilomar Conference on Signals, Systems and Computers, 308-312, 2016 | 13 | 2016 |
| Distribution systems ac state estimation via sparse ami data using graph signal processing SS Saha, A Scaglione, R Ramakrishna, NG Johnson IEEE Transactions on Smart Grid 13 (5), 3636-3649, 2022 | 8 | 2022 |
| SODA: An Irradiance-Based Tool to Generate Sub-Minute Solar Power Stochastic Time Series I Losada Carreño, R Ramakrishna, A Scaglione, D Arnold, C Roberts, ... | 7* | 2020 |
| Inferring Class-Label Distribution in Federated Learning R Ramakrishna, G Dán Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security …, 2022 | 3 | 2022 |
| A Bayesian lower bound for parameters with bounded support priors R Ramakrishna, A Scaglione 2020 54th annual conference on information sciences and systems (ciss), 1-6, 2020 | 3 | 2020 |
| JOINT PROBABILISTIC FORECASTS OF TEMPERATURE AND SOLAR IRRADIANCE R Ramakrishna, A Bernstein, E Dall’Anese, A Scaglione ICASSP 2018, 2018 | 3 | 2018 |
| Model-based interference cartography and visualization PN Karthik, R Ramakrishna, G Joseph, CR Murthy, J Sebastian, ... 2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016 | 3 | 2016 |
| Sequential Experiment Design for Parameter Estimation of Nonlinear Systems using a Neural Network Approximator R Ramakrishna, Y Shao, G Dán, N Kringos European Journal of Control 74, 100859, 2023 | 1 | 2023 |
| Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism R Ramakrishna, A Scaglione, T Wu, N Ravi, S Peisert IEEE Transactions on Information Forensics and Security 18, 5096-5108, 2023 | 1 | 2023 |
| TECoSA–Trends, Drivers, and Strategic Directions for Trustworthy Edge Computing in Industrial Applications J Gross, M Törngren, G Dán, D Broman, E Herzog, I Leite, R Ramakrishna, ... INSIGHT 25 (4), 29-34, 2022 | 1 | 2022 |
| Inferring class label distribution of training data from classifiers: An accuracy-augmented meta-classifier attack R Ramakrishna, G Dán arXiv preprint arXiv:2211.04157, 2022 | 1 | 2022 |
Anna ScaglioneProfessor of Electrical and Computer Engineering, Cornell University在 cornell.edu 的电子邮件经过验证
