Abolfazl Safikhani

15 papers A* 1A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing transparency in land use change modeling: Leveraging eXplainable AI techniques for urban growth prediction with spatially distributed insights. Comput. Environ. Urban Syst. Zelin Wang, Tianshu Feng, Abolfazl Safikhani, Emre Tepe
2025	A	`conf`	Transfer Learning for High-dimensional Reduced Rank Time Series Models. AISTATS Mingliang Ma, Abolfazl Safikhani
2024	J	`jnl`	Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. CoRR Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang
2023	J	`jnl`	A General Modeling Framework for Network Autoregressive Processes. Technometrics Hang Yin, Abolfazl Safikhani, George Michailidis
2022	J	`jnl`	A Fast Detection Method of Break Points in Effective Connectivity Networks. IEEE Trans. Medical Imaging Peiliang Bai, Abolfazl Safikhani, George Michailidis
2022	J	`jnl`	Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models. J. Comput. Graph. Stat. Abolfazl Safikhani, Yue Bai, George Michailidis
2022	J	`jnl`	Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S. IEEE J. Sel. Top. Signal Process. Yue Bai, Abolfazl Safikhani, George Michailidis
2022	J	`jnl`	Machine learning application to spatio-temporal modeling of urban growth. Comput. Environ. Urban Syst. Yuna Kim, Abolfazl Safikhani, Emre Tepe
2022	A*	`conf`	Theoretical analysis of deep neural networks for temporally dependent observations. NeurIPS Mingliang Ma, Abolfazl Safikhani
2022	J	`jnl`	Theoretical analysis of deep neural networks for temporally dependent observations. CoRR Mingliang Ma, Abolfazl Safikhani
2020	J	`jnl`	Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models. IEEE Trans. Signal Process. Peiliang Bai, Abolfazl Safikhani, George Michailidis
2020	—	`conf`	Taxi and Mobility: Modeling Taxi Demand Using ARMA and Linear Regression. EUSPN/ICTH Sabiheh Faghih, Arpita Shah, Zehan Wang, Abolfazl Safikhani, Camille Kamga
2019	J	`jnl`	Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling. J. Comput. Civ. Eng. Sabiheh Faghih, Abolfazl Safikhani, Bahman Moghimi, Camille Kamga
2019	J	`jnl`	Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models. IEEE Trans. Intell. Transp. Syst. Bahman Moghimi, Abolfazl Safikhani, Camille Kamga, Wei Hao, Jiaqi Ma
2018	J	`jnl`	Cycle-Length Prediction in Actuated Traffic-Signal Control Using ARIMA Model. J. Comput. Civ. Eng. Bahman Moghimi, Abolfazl Safikhani, Camille Kamga, Wei Hao