| Multimodal dynamic brain connectivity analysis based on graph signal processing for former athletes with history of multiple concussions S Sihag, S Naze, F Taghdiri, C Tator, R Wennberg, D Mikulis, R Green, ... IEEE Transactions on Signal and Information Processing over Networks 6, 284-299, 2020 | 19 | 2020 |
| Non-linear state recovery in power system under bad data and cyber attacks A Tajer, S Sihag, K Alnajjar Journal of Modern Power Systems and Clean Energy 7, 1071-1080, 2019 | 15 | 2019 |
| Secure estimation under causative attacks S Sihag, A Tajer IEEE Transactions on Information Theory 66 (8), 5145-5166, 2020 | 13 | 2020 |
| Power system state estimation under model uncertainty S Sihag, A Tajer IEEE Journal of Selected Topics in Signal Processing 12 (4), 593-606, 2018 | 13 | 2018 |
| coVariance neural networks S Sihag, G Mateos, C McMillan, A Ribeiro Advances in neural information processing systems 35, 17003-17016, 2022 | 7 | 2022 |
| Summary Markov Models for Event Sequences D Bhattacharjya, S Sihag, O Hassanzadeh, L Bialik International Joint Conference on Artificial Intelligence, 2022 | 7 | 2022 |
| Structure learning with side information: Sample complexity S Sihag, A Tajer Advances in Neural Information Processing Systems 32, 2019 | 6 | 2019 |
| Learning shared subgraphs in ising model pairs B Varici, S Sihag, A Tajer International Conference on Artificial Intelligence and Statistics, 3952-3960, 2021 | 5 | 2021 |
| Predicting Brain Age using Transferable coVariance Neural Networks S Sihag, G Mateos, C McMillan, A Ribeiro ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Structure learning of similar ising models: Information-theoretic bounds S Sihag, A Tajer 2019 IEEE International Symposium on Information Theory (ISIT), 1307-1311, 2019 | 4 | 2019 |
| Explainable brain age prediction using covariance neural networks S Sihag, G Mateos, C McMillan, A Ribeiro Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Functional brain activity constrained by structural connectivity reveals cohort-specific features for serum neurofilament light chain S Sihag, S Naze, F Taghdiri, M Gumus, C Tator, R Green, B Colella, ... Communications Medicine 2 (1), 8, 2022 | 3 | 2022 |
| Transferability of coVariance Neural Networks S Sihag, G Mateos, C McMillan, A Ribeiro IEEE Journal of Selected Topics in Signal Processing, 2024 | 2* | 2024 |
| Towards a foundation model for brain age prediction using covariance neural networks S Sihag, G Mateos, A Ribeiro arXiv preprint arXiv:2402.07684, 2024 | 2 | 2024 |
| GSP analysis of brain imaging data from athletes with history of multiple concussions S Sihag, S Naze, F Taghdiri, MC Tartaglia, JR Kozloski 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 2 | 2019 |
| Sample complexity of joint structure learning S Sihag, A Tajer ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 2 | 2019 |
| Adaptive Graph-Constrained Group Testing S Sihag, A Tajer, U Mitra IEEE Transactions on Signal Processing 70, 381-396, 2021 | 1 | 2021 |
| Approximate recovery of Ising models with side information S Sihag, A Tajer 2020 IEEE International Symposium on Information Theory (ISIT), 1319-1324, 2020 | 1 | 2020 |
| Non-linear state estimation in power systems under model uncertainty S Sihag, A Tajer 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 1 | 2018 |
| Sequential estimation of distributed parameters in networks S Sihag, J Heydari, A Tajer 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-5, 2018 | 1 | 2018 |
