Guiping Hu
Orcid: 0000-0001-8392-8442
According to our database1,
Guiping Hu
authored at least 30 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Validation of scenario generation for decision-making using machine learning prediction models.
Optim. Lett., December, 2024
Mapping the Evolutionary Space of SARS-CoV-2 Variants to Anticipate Emergence of Subvariants Resistant to COVID-19 Therapeutics.
PLoS Comput. Biol., 2024
2023
A classification algorithm based on dynamic ensemble selection to predict mutational patterns of the envelope protein in HIV-infected patients.
Algorithms Mol. Biol., December, 2023
From WSI-level to patch-level: Structure prior-guided binuclear cell fine-grained detection.
Medical Image Anal., October, 2023
2022
COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm.
Neural Comput. Appl., 2022
Intell. Syst. Appl., 2022
From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detection.
CoRR, 2022
Integrating Crop Simulation and Machine Learning Models to Improve Crop Yield Prediction.
Proceedings of the 17th Annual System of Systems Engineering Conference, 2022
A random forest algorithm to understand the regulating factors for tea leave decomposition in agroecosystems.
Proceedings of the 17th Annual System of Systems Engineering Conference, 2022
Application of the Two-layer Wrapper-Embedded Feature Selection Method to Improve Genomic Selection.
Proceedings of the 17th Annual System of Systems Engineering Conference, 2022
2021
Soft Comput., 2021
Expert Syst. Appl., 2021
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions.
CoRR, 2021
2020
A Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery.
Remote. Sens., 2020
Hybrid stochastic and robust optimization model for lot-sizing and scheduling problems under uncertainties.
Eur. J. Oper. Res., 2020
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt.
CoRR, 2020
CoRR, 2020
A two-stage stochastic programming model for multi-period reverse logistics network design with lot-sizing.
Comput. Ind. Eng., 2020
2019
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems.
CoRR, 2019
2018
A multi-stage stochastic programming for lot-sizing and scheduling under demand uncertainty.
Comput. Ind. Eng., 2018
2017
Shop floor lot-sizing and scheduling with a two-stage stochastic programming model considering uncertain demand and workforce efficiency.
Comput. Ind. Eng., 2017
2016
Ann. Oper. Res., 2016
2013
Proceedings of the Advances in Production Management Systems. Sustainable Production and Service Supply Chains, 2013
Proceedings of the Advances in Production Management Systems. Sustainable Production and Service Supply Chains, 2013