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Amin Vahedian Khezerlou
Amin Vahedian Khezerlou
Assistant Professor of Information Systems, Northern Illinois University
Verified email at niu.edu - Homepage
Title
Cited by
Cited by
Year
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
522018
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
502017
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
492018
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
40*2017
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
242016
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
232019
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
222019
A new model for discovering process trees from event logs
A Vahedian Khezerlou, S Alizadeh
Applied intelligence 41, 725-735, 2014
112014
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
72022
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
52018
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
32022
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
22021
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
2023
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, 2023
2023
Precise Bayes Classifier: Summary of Results
A Vahedian, X Zhou
2021 IEEE International Conference on Data Mining (ICDM), 649-658, 2021
2021
Mining big mobility data for large urban event analytics
AV Khezerlou
The University of Iowa, 2019
2019
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