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ORCIDMohammadsadegh Shamsabardeh
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2020 – today
- 2022
[b1]Mohammadsadegh Shamsabardeh:
Machine Learning Based Porcine Respiratory and Reproductive Syndrome Forecasting. University of California, Davis, USA, 2022- [c4]Mohammadsadegh Shamsabardeh, Bahar Azari, Beatriz Martínez-López:
Spatio-Temporal PRRS Epidemic Forecasting via Factorized Deep Generative Modeling. ICASSP 2022: 3978-3982 - 2021
- [i1]Mohammadsadegh Shamsabardeh, Bahar Azari, Beatriz Martínez-López:
PRRS Outbreak Prediction via Deep Switching Auto-Regressive Factorization Modeling. CoRR abs/2110.03147 (2021)
2010 – 2019
- 2019
- [j1]Roberto Proietti
, Xiaoliang Chen, Kaiqi Zhang, Gengchen Liu, Mohammadsadegh Shamsabardeh, Alberto Castro, Luis Velasco, Zuqing Zhu, S. J. Ben Yoo:
Experimental Demonstration of Machine-Learning-Aided QoT Estimation in Multi-Domain Elastic Optical Networks with Alien Wavelengths. JOCN 11(1): A1-A10 (2019) - 2018
- [c3]Xiaoliang Chen, B. Li, Mohammadsadegh Shamsabardeh, Roberto Proietti, Zuqing Zhu, S. J. Ben Yoo:
On Real-Time and Self-Taught Anomaly Detection in Optical Networks Using Hybrid Unsupervised/Supervised Learning. ECOC 2018: 1-3 - 2017
- [c2]Xiaoliang Chen, Jialiang Guo, Zuqing Zhu, Alberto Castro, Roberto Proietti, Hongbo Lu, Mohammadsadegh Shamsabardeh, S. J. Ben Yoo:
Leveraging Deep Learning to Achieve Knowledge-based Autonomous Service Provisioning in Broker-based Multi-Domain SD-EONs with Proactive and Intelligent Predictions of Multi-Domain Traffic. ECOC 2017: 1-3 - [c1]Roberto Proietti, Hongbo Lu, Guangyao Liu, Alberto Castro, Mohammadsadegh Shamsabardeh, S. J. Ben Yoo:
Experimental Demonstration of Elastic RF-Optical Networking (ERON) for 5G mm-wave Systems. ECOC 2017: 1-3
Coauthor Index
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