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Ali Eshragh
Ali Eshragh
Johns Hopkins Carey Business School
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
A tradeoff model for green supply chain planning: A leanness-versus-greenness analysis
B Fahimnia, J Sarkis, A Eshragh
Omega 54, 173-190, 2015
2792015
Tactical supply chain planning under a carbon tax policy scheme: A case study
B Fahimnia, J Sarkis, A Choudhary, A Eshragh
International Journal of Production Economics 164, 206-215, 2015
1712015
Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms
B Fahimnia, H Davarzani, A Eshragh
Computers & Operations Research 89, 241-252, 2018
622018
Demand forecasting in the presence of systematic events: Cases in capturing sales promotions
M Abolghasemi, J Hurley, A Eshragh, B Fahimnia
International Journal of Production Economics 230, 107892, 2020
612020
A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem
A Eshragh, JA Filar, M Haythorpe
Annals of Operations Research 189, 103-125, 2011
342011
Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis
A Eshragh, S Alizamir, P Howley, E Stojanovski
PLoS ONE 15 (10), e0240153, 2020
302020
A projection-adapted cross entropy (PACE) method for transmission network planning
A Eshragh, J Filar, A Nazar
Energy Systems 2, 189-208, 2011
272011
Average-reward model-free reinforcement learning: a systematic review and literature mapping
V Dewanto, G Dunn, A Eshragh, M Gallagher, F Roosta
arXiv preprint arXiv:2010.08920, 2020
242020
A new approach to distribution fitting: decision on beliefs
A Eshragh, M MODARES
JOURNAL OF INDUSTRIAL AND SYSTEMS ENGINEERING (JISE) 3 (1), 56-71, 2009
192009
The Importance of Environmental Factors in Forecasting Australian Power Demand
A Eshragh, B Ganim, T Perkins, K Bandara
Environmental Modeling & Assessment, 2021
182021
On transition matrices of Markov chains corresponding to Hamiltonian cycles
K Avrachenkov, A Eshragh, JA Filar
Annals of Operations Research 243 (1), 19-35, 2016
172016
Hamiltonian cycles, random walks, and discounted occupational measures
A Eshragh, J Filar
Mathematics of Operations Research 36 (2), 258-270, 2011
162011
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
A Eshragh, F Roosta, A Nazari, MW Mahoney
Journal of Machine Learning Research, 2022
132022
A new approach to select the best subset of predictors in linear regression modelling: bi-objective mixed integer linear programming
H Charkhgard, A Eshragh
The ANZIAM Journal 61 (1), 64-75, 2019
102019
Uniform Fractional Part: A simple fast method for generating continuous random variates
H MAHLOUJI, JA ESHRAGH, MH ABOUEI, N IZADI
SCIENTIA IRANICA 15 (5), 613-622, 2008
92008
Hamiltonian cycles and subsets of discounted occupational measures
A Eshragh, JA Filar, T Kalinowski, S Mohammadian
Mathematics of Operations Research, 2019
82019
An analytical bound on the fleet size in vehicle routing problems: a dynamic programming approach
A Eshragh, R Esmaeilbeigi, R Middleton
Operations Research Letters, 2020
62020
Fisher Information for a partially observable simple birth process
NG Bean, A Eshragh, JV Ross
Communications in Statistics-Theory and Methods 45 (24), 7161-7183, 2016
62016
On binomial observations of continuous-time Markovian population models
NG Bean, R Elliott, A Eshragh, JV Ross
Journal of Applied Probability 52 (2), 457-472, 2015
62015
Rollage: Efficient Rolling Average Algorithm to Estimate ARMA Models for Big Time Series Data
A Eshragh, G Livingston, TMC McCann, L Yerbury
arXiv preprint arXiv:2103.09175, 2021
42021
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