Abolfazl Safikhani

According to our database, Abolfazl Safikhani authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhancing transparency in land use change modeling: Leveraging eXplainable AI techniques for urban growth prediction with spatially distributed insights.

Zelin Wang, Tianshu Feng, Abolfazl Safikhani, Emre Tepe

Comput. Environ. Urban Syst., 2025

Transfer Learning for High-dimensional Reduced Rank Time Series Models.

Mingliang Ma, Abolfazl Safikhani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses.

Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang

CoRR, 2024

2023

A General Modeling Framework for Network Autoregressive Processes.

Hang Yin, Abolfazl Safikhani, George Michailidis

Technometrics, October, 2023

2022

Machine learning application to spatio-temporal modeling of urban growth.

Yuna Kim, Abolfazl Safikhani, Emre Tepe

Comput. Environ. Urban Syst., 2022

A Fast Detection Method of Break Points in Effective Connectivity Networks.

Peiliang Bai, Abolfazl Safikhani, George Michailidis

IEEE Trans. Medical Imaging, 2022

Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S.

Yue Bai, Abolfazl Safikhani, George Michailidis

IEEE J. Sel. Top. Signal Process., 2022

Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models.

Abolfazl Safikhani, Yue Bai, George Michailidis

J. Comput. Graph. Stat., 2022

Theoretical analysis of deep neural networks for temporally dependent observations.

Mingliang Ma, Abolfazl Safikhani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models.

Peiliang Bai, Abolfazl Safikhani, George Michailidis

IEEE Trans. Signal Process., 2020

Taxi and Mobility: Modeling Taxi Demand Using ARMA and Linear Regression.

Sabiheh Faghih, Arpita Shah, Zehan Wang, Abolfazl Safikhani, Camille Kamga

Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

2019

Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models.

Bahman Moghimi, Abolfazl Safikhani, Camille Kamga, Wei Hao, Jiaqi Ma

IEEE Trans. Intell. Transp. Syst., 2019

Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling.

Sabiheh Faghih, Abolfazl Safikhani, Bahman Moghimi, Camille Kamga

J. Comput. Civ. Eng., 2019

2018

Cycle-Length Prediction in Actuated Traffic-Signal Control Using ARIMA Model.

Bahman Moghimi, Abolfazl Safikhani, Camille Kamga, Wei Hao

J. Comput. Civ. Eng., 2018