Mithun Ghosh

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Qing HaoAssociate Professor, Aerospace and Mechanical Engineering, University of ArizonaVerified email at email.arizona.edu
Golam KabirAssociate Professor, Industrial Systems Engineering, University of ReginaVerified email at uregina.ca
Zijun ZhangProfessor, School of Data Science, City University of Hong KongVerified email at cityu.edu.hk
LI ZENGAssociate Professor of School of Data Science, City University of Hong KongVerified email at cityu.edu.hk
Prama DebnathElectrical and Computer engineering (ECE)at University of ConnecticutVerified email at uconn.edu
Reyan AhmedUniversity of ArizonaVerified email at email.arizona.edu
Stephen KobourovProfessor of Computer Science, University of ArizonaVerified email at cs.arizona.edu

Mithun Ghosh

Senior Data Scientist @ Walmart Labs

Verified email at arizona.edu - Homepage

Data Mining Machine Learning Deep Learning


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Machine learning prediction for bandgaps of inorganic materials L Wu, Y Xiao, M Ghosh, Q Zhou, Q Hao ES Materials & Manufacturing 9 (4), 34-39, 2020	33	2020
Project time–cost trade-off: a Bayesian approach to update project time and cost estimates M Ghosh, G Kabir, MAA Hasin International Journal of Management Science and Engineering Management 12 (3 …, 2017	28	2017
Modeling multivariate profiles using Gaussian process-controlled B-splines M Ghosh, Y Li, L Zeng, Z Zhang, Q Zhou IISE Transactions 53 (7), 787-798, 2021	24	2021
Ensemble based neural network for the classification of mura dataset M Ghosh, S Hassan, P Debnath Journal of Nature 4, 1-5, 2021	6	2021
Computing Steiner trees using graph neural networks R Ahmed, MA Turja, FD Sahneh, M Ghosh, K Hamm, S Kobourov arXiv preprint arXiv:2108.08368, 2021	4	2021
Multivariate Gaussian Process Incorporated Predictive Model for Stream Turbine Power Plant P Debnath, M Ghosh arXiv preprint arXiv:2103.14871, 2021	1	2021
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search R Ahmed, M Ghosh, KS Jun, S Kobourov arXiv preprint arXiv:2305.00535, 2023		2023
A random forest with multi-fidelity Gaussian process leaves for modeling multi-fidelity data with heterogeneity M Ghosh, L Wu, Q Hao, Q Zhou Computers & Industrial Engineering 174, 108746, 2022		2022
Integrated Statistical Modeling of Engineering Data with Shared Information M Ghosh The University of Arizona, 2022		2022

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