| 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 | 41 | 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 | 36 | 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 | 31 | 2021 |
| 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 | 12 | 2022 |
| 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 | 7 | 2021 |
| Ensemble based neural network for the classification of mura dataset M Ghosh, S Hassan, P Debnath Journal of Nature 4, 1-5, 2021 | 7 | 2021 |
| Multivariate Gaussian Process Incorporated Predictive Model for Stream Turbine Power Plant P Debnath, M Ghosh arXiv preprint arXiv:2103.14871, 2021 | 2 | 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 | 1 | 2023 |
| A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment Z Yang, M Ghosh, A Saha, D Xu, K Shmakov, K Lee 2024 IEEE International Conference on Big Data (BigData), 1151-1160, 2024 | | 2024 |
| Integrated Statistical Modeling of Engineering Data with Shared Information M Ghosh The University of Arizona, 2022 | | 2022 |
Qing HaoProfessor, Aerospace and Mechanical Engineering, University of ArizonaVerified email at email.arizona.edu
