Amin Vahedian Khezerlou
Amin Vahedian Khezerlou
Assistant Professor of Information Systems, Northern Illinois University
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Cited by
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A traffic flow approach to early detection of gathering events: Comprehensive results
AV Khezerlou, X Zhou, L Li, Z Shafiq, AX Liu, F Zhang
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (6), 1-24, 2017
Predicting traffic congestion propagation patterns: A propagation graph approach
H Xiong, A Vahedian, X Zhou, Y Li, J Luo
Proceedings of the 11th ACM SIGSPATIAL International Workshop on …, 2018
Optimizing taxi driver profit efficiency: A spatial network-based markov decision process approach
X Zhou, H Rong, C Yang, Q Zhang, AV Khezerlou, H Zheng, Z Shafiq, ...
IEEE Transactions on Big Data 6 (1), 145-158, 2018
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data
A Vahedian Khezerlou, X Zhou, L Tong, Y Li, J Luo
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017
Predicting urban dispersal events: A two-stage framework through deep survival analysis on mobility data
A Vahedian, X Zhou, L Tong, WN Street, Y Li
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5199-5206, 2019
A Traffic Flow Approach to Early Detection of Gathering Events
X Zhou, A Vahedian Khezerlou, A Liu, Z Shafiq, F Zhang
24th ACM SIGSPATIAL International Conference on Advances in Geographic …, 2016
Forecasting gathering events through trajectory destination prediction: A dynamic hybrid model
AV Khezerlou, X Zhou, L Tong, Y Li, J Luo
IEEE transactions on knowledge and data engineering 33 (3), 991-1004, 2019
A new model for discovering process trees from event logs
A Vahedian Khezerlou, S Alizadeh
Applied intelligence 41, 725-735, 2014
Understanding business location choice pattern: A co-location analysis on urban poi data
J Chiu, AV Khezerlou, X Zhou
Proceedings of the 2nd INFORMS Workshop on Data Science, Phoenix, AZ, USA 3, 2018
Modelling ragpickers’ productivity at the bottom of the pyramid: the use of artificial neural networks (ANNs)
N Johnson, S Prasad, A Vahedian, N Altay, A Jain
International Journal of Operations & Production Management 42 (4), 552-576, 2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
B An, A Vahedian, X Zhou, WN Street, Y Li
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features
AV Khezerlou, X Zhou, X Li, WN Street, Y Li
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (4), 1-25, 2021
Nonlinear interactions via machine learning: Input factor orchestration in sustainable operations
N Johnson, S Prasad, R Zakaria, A Vahedian, N Altay
Annals of Operations Research, 1-28, 2023
Precise Bayes Classifier: Summary of Results
A Vahedian, X Zhou
2021 IEEE International Conference on Data Mining (ICDM), 649-658, 2021
Mining big mobility data for large urban event analytics
AV Khezerlou
The University of Iowa, 2019
Modeling Nonlinear Time Series Patterns of Supply Chain Disruptions on Share Price Based Upon Firms’ Account Giving and Nodal Position
A Vahedian, J Woldt, S Prasad
Available at SSRN 4496809, 0
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