Arash Pourhabib
Arash Pourhabib
Data Scientist, Google
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Short-term wind speed forecast using measurements from multiple turbines in a wind farm
A Pourhabib, JZ Huang, Y Ding
Technometrics 58 (1), 138-147, 2016
Absent data generating classifier for imbalanced class sizes
A Pourhabib, BK Mallick, Y Ding
The Journal of Machine Learning Research 16 (Dec), 2695−2724, 2015
Real Estate Cycles: a Theory based on Stock Flow Structure of Durable Goods Markets
AN Mashayekhi, S Ghili, A Pourhabib
Proceedings of the 2009 System Dynamics Conference, 2009
Sequential design for functional calibration of computer models
AA Ezzat, A Pourhabib, Y Ding
Technometrics 60 (3), 286-296, 2018
Modulus Prediction of Buckypaper based on Multi Fidelity Analysis Involving Latent Variables
A Pourhabib, JZ Huang, K Wang, C Zhang, B Wang, Y Ding
IIE Transactions 47 (2), 141-152, 2015
Bayesian Site Selection for Fast Gaussian Process Regression
A Pourhabib, F Liang, Y Ding
IIE Transactions 46 (5), 543-555, 2014
Sequential Monte Carlo filtering estimation of Ebola progression in West Africa
NM Shahtori, C Scoglio, A Pourhabib, FD Sahneh
American Control Conference (ACC), 1277-1282, 2016
An integer programming approach for analyzing the measurement redundancy in structured linear systems
K Kianfar, A Pourhabib, Y Ding
IEEE Transactions on Automation science and Engineering 8 (2), 447-450, 2010
A Bayesian framework for functional calibration of expensive computational models through non-isometric matching
B Farmanesh, A Pourhabib, B Balasundaram, A Buchanan
IISE Transactions 53 (3), 352-364, 2020
A reproducing kernel Hilbert space approach to functional calibration of computer models
R Tuo, S He, A Pourhabib, Y Ding, JZ Huang
Journal of the American Statistical Association 118 (542), 883-897, 2023
Self-tuned mirror descent schemes for smooth and nonsmooth high-dimensional stochastic optimization
N Majlesinasab, F Yousefian, A Pourhabib
IEEE Transactions on Automatic Control 64 (10), 4377-4384, 2019
Non-isometric curve to surface matching with incomplete data for functional calibration
A Pourhabib, B Balasundaram
arXiv preprint arXiv:1508.01240 287, 288, 2015
Sparse pseudo-input local Kriging for large spatial datasets with exogenous variables
B Farmanesh, A Pourhabib
IISE Transactions 52 (3), 334-348, 2020
Empirical similarity for absent data generation in imbalanced classification
A Pourhabib
Advances in Information and Communication: Proceedings of the 2019 Future of …, 2020
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