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Abolfazl Safikhani
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2020 – today
- 2024
- [i2]Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang:
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. CoRR abs/2407.04486 (2024) - 2023
- [j9]Hang Yin, Abolfazl Safikhani, George Michailidis
:
A General Modeling Framework for Network Autoregressive Processes. Technometrics 65(4): 579-589 (2023) - 2022
- [j8]Abolfazl Safikhani, Yue Bai, George Michailidis:
Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models. J. Comput. Graph. Stat. 31(1): 176-189 (2022) - [j7]Yue Bai
Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S. IEEE J. Sel. Top. Signal Process. 16(2): 261-275 (2022) - [j6]Peiliang Bai
A Fast Detection Method of Break Points in Effective Connectivity Networks. IEEE Trans. Medical Imaging 41(5): 1017-1030 (2022) - [j5]Yuna Kim, Abolfazl Safikhani, Emre Tepe
Machine learning application to spatio-temporal modeling of urban growth. Comput. Environ. Urban Syst. 94: 101801 (2022) - [c2]Mingliang Ma, Abolfazl Safikhani:
Theoretical analysis of deep neural networks for temporally dependent observations. NeurIPS 2022 - [i1]Mingliang Ma, Abolfazl Safikhani:
Theoretical analysis of deep neural networks for temporally dependent observations. CoRR abs/2210.11530 (2022) - 2020
- [j4]Peiliang Bai
Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models. IEEE Trans. Signal Process. 68: 3074-3089 (2020) - [c1]Sabiheh Faghih, Arpita Shah, Zehan Wang, Abolfazl Safikhani, Camille Kamga:
Taxi and Mobility: Modeling Taxi Demand Using ARMA and Linear Regression. EUSPN/ICTH 2020: 186-195
2010 – 2019
- 2019
- [j3]Sabiheh Faghih, Abolfazl Safikhani, Bahman Moghimi, Camille Kamga:
Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling. J. Comput. Civ. Eng. 33(3) (2019) - [j2]Bahman Moghimi, Abolfazl Safikhani, Camille Kamga, Wei Hao
Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models. IEEE Trans. Intell. Transp. Syst. 20(8): 2976-2985 (2019) - 2018
- [j1]Bahman Moghimi, Abolfazl Safikhani, Camille Kamga, Wei Hao:
Cycle-Length Prediction in Actuated Traffic-Signal Control Using ARIMA Model. J. Comput. Civ. Eng. 32(2) (2018)
Coauthor Index
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