Ali Eshragh

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	920	563
h-index	13	10
i10-index	14	10

140

105

200920102011201220132014201520162017201820192020202120222023202420253 3 7 10 9 9 38 42 53 76 90 106 101 127 107 101 16

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Társszerzők

Prof Behnam (Ben) FahimniaProfessor and Chair, University of SydneyE-mail megerősítve itt: sydney.edu.au
Jerzy FilarEmeritus Professor of Applied Mathematics, The University of QueenslandE-mail megerősítve itt: uq.edu.au
Hadi Gard (Charkhgard)Associate Professor, University of South FloridaE-mail megerősítve itt: usf.edu
Fred RoostaUniversity of QueenslandE-mail megerősítve itt: uq.edu.au
Asef NazariSenior Lecturer in Mathematics, School of IT, Deakin UniversityE-mail megerősítve itt: deakin.edu.au
Saed AlizamirAssociate Prof. of Data Analytics & Decision Sciences, Darden School of Business, Univ. of VirginiaE-mail megerősítve itt: darden.virginia.edu
Professor Peter HowleyNewcastle UniversityE-mail megerősítve itt: newcastle.edu.au
Kasun BandaraLoad Forecast Lead, EnergyAustralia | Honorary Research Fellow, University of MelbourneE-mail megerősítve itt: unimelb.edu.au
Konstantin AvrachenkovDirector of Research, INRIA Sophia AntipolisE-mail megerősítve itt: sophia.inria.fr
Michael MahoneyProfessor of Statistics, UC BerkeleyE-mail megerősítve itt: stat.berkeley.edu
Joshua RossExecutive Director, Data, Analytics, and Insights, SA Health, & Principal Research Fellow, SAHMRIE-mail megerősítve itt: sa.gov.au
Bean, NigelUniversity of AdelaideE-mail megerősítve itt: adelaide.edu.au
Richard MiddletonProfessor, University of NewcastleE-mail megerősítve itt: newcastle.edu.au
Michael SaundersProfessor of Operations Research, Stanford UniversityE-mail megerősítve itt: stanford.edu
Robert ElliottResearch Professor, University of South Australia.. Faculty Professor and Emeritus Professor CalgaryE-mail megerősítve itt: ucalgary.ca
Foaad IravaniSenior Data Scientist, Uber Freight

Követés

Ali Eshragh

Johns Hopkins Carey Business School

E-mail megerősítve itt: jhu.edu - Kezdőlap

Business Analytics Machine Learning Markov Decision Processes Statistical Modeling Stochastic Optimization


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
A tradeoff model for green supply chain planning: A leanness-versus-greenness analysis B Fahimnia, J Sarkis, A Eshragh Omega 54, 173-190, 2015	293	2015
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	190	2015
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	72	2020
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	68	2018
A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem A Eshragh, JA Filar, M Haythorpe Annals of Operations Research 189, 103-125, 2011	34	2011
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	33	2020
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	31	2020
A projection-adapted cross entropy (PACE) method for transmission network planning A Eshragh, J Filar, A Nazar Energy Systems 2, 189-208, 2011	29	2011
The Importance of Environmental Factors in Forecasting Australian Power Demand A Eshragh, B Ganim, T Perkins, K Bandara Environmental Modeling & Assessment, 2021	21	2021
A new approach to distribution fitting: decision on beliefs A Eshragh, M MODARES Journal of Industrial and Systems Engineering 3 (1), 56-71, 2009	20	2009
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	17	2022
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	17	2016
Hamiltonian cycles, random walks, and discounted occupational measures A Eshragh, J Filar Mathematics of Operations Research 36 (2), 258-270, 2011	17	2011
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	11	2019
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	9	2008
Hamiltonian cycles and subsets of discounted occupational measures A Eshragh, JA Filar, T Kalinowski, S Mohammadian Mathematics of Operations Research, 2019	8	2019
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	7	2020
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	6	2016
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	6	2015
Hamiltonian Cycles and the Space of Discounted Occupational Measures A Eshragh LAP Lambert Academic Publishing, 2011	5	2011

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