| Experimental demonstration of machine-learning-aided QoT estimation in multi-domain elastic optical networks with alien wavelengths R Proietti, X Chen, K Zhang, G Liu, M Shamsabardeh, A Castro, L Velasco, ... IEEE/OSA Journal of Optical Communications and Networking 11 (1), A1-A10, 2019 | 73 | 2019 |
| On real-time and self-taught anomaly detection in optical networks using hybrid unsupervised/supervised learning X Chen, B Li, M Shamsabardeh, R Proietti, Z Zhu, SJB Yoo 2018 European Conference on Optical Communication (ECOC), 1-3, 2018 | 27 | 2018 |
| Leveraging deep learning to achieve knowledge-based autonomous service provisioning in broker-based multi-domain SD-EONs with proactive and intelligent predictions of multi … X Chen, J Guo, Z Zhu, A Castro, R Proietti, H Lu, M Shamsabardeh, ... 2017 European Conference on Optical Communication (ECOC), 1-3, 2017 | 19 | 2017 |
| A novel way to predict PRRS outbreaks in the swine industry using multiple spatio-temporal features and machine learning approaches M Shamsabardeh, S Rezaei, JP Gomez, B Martínez-López, X Liu GeoVet, 2019 | 7 | 2019 |
| Energy-efficient and high-throughput nanophotonic neuromorphic computing M Nazirzadeh, M Shamsabardeh, SJB Yoo CLEO: Applications and Technology, ATh3Q. 2, 2018 | 7 | 2018 |
| Experimental demonstration of elastic RF-optical networking (ERON) for 5G mm-Wave systems R Proietti, H Lu, G Liu, A Castro, M Shamsabardeh, SJB Yoo 2017 European Conference on Optical Communication (ECOC), 1-3, 2017 | 5 | 2017 |
| Machine learning framework for porcine reproductive and respiratory syndrome outbreak forecasting M Shamsabardeh, B Martínez-López, KC O’Hara, JP Gomez, X Liu | 3 | 2022 |
| Spatio-temporal prrs epidemic forecasting via factorized deep generative modeling M Shamsabardeh, B Azari, B Martínez-López ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| BBU hotelling in centralized radio access networks N Carapellese, M Shamsabardeh, M Tornatore, A Pattavina Fiber-Wireless Convergence in Next-Generation Communication Networks, 265-291, 2017 | 2 | 2017 |
| Machine Learning Based Porcine Respiratory and Reproductive Syndrome Forecasting M Shamsabardeh University of California, Davis, 2022 | | 2022 |
| Network planning models and algorithms for LTE-advanced cellular networks M SHAMSABARDEH Politecnico di Milano, 2015 | | 2015 |
| Energy-Efficient and Scalable Bio-inspired Nanophotonic Computing M Nazirzadeh, P Fotouhi, M Shamsabardeh, R Proietti, SJB Yoo | | |
Beatriz Martínez-LópezDepartment of Medicine & Epidemiology, School of Veterinary Medicine, University of California在 ucdavis.edu 的电子邮件经过验证
