Guiping Hu

Orcid: 0000-0001-8392-8442

According to our database1, Guiping Hu authored at least 28 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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
Ten simple rules to ruin a collaborative environment.
PLoS Comput. Biol., 2022

COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm.
Neural Comput. Appl., 2022

A reinforcement Learning approach to resource allocation in genomic selection.
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
A genetic algorithm-assisted deep learning approach for crop yield prediction.
Soft Comput., 2021

A two-layer feature selection method using Genetic Algorithm and Elastic Net.
Expert Syst. Appl., 2021

An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions.
CoRR, 2021

Corn Yield Prediction with Ensemble CNN-DNN.
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

Improved Weighted Random Forest for Classification Problems.
CoRR, 2020

Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt.
CoRR, 2020

A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net.
CoRR, 2020

Forecasting Corn Yield with Machine Learning Ensembles.
CoRR, 2020

A two-stage stochastic programming model for multi-period reverse logistics network design with lot-sizing.
Comput. Ind. Eng., 2020

2019
Hub relay network design for daily driver routes.
Int. J. Prod. Res., 2019

Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms.
CoRR, 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
A bottom-up biofuel market equilibrium model for policy analysis.
Ann. Oper. Res., 2016

2013
A Sequential Fast Pyrolysis Facility Location-Allocation Model.
Proceedings of the Advances in Production Management Systems. Sustainable Production and Service Supply Chains, 2013

An Optimization Model for Advanced Biofuel Production Based on Bio-oil Gasification.
Proceedings of the Advances in Production Management Systems. Sustainable Production and Service Supply Chains, 2013


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