Sutong Wang

Orcid: 0000-0001-6603-6047

According to our database1, Sutong Wang authored at least 14 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
A novel clustering-based resampling with cost-sensitive boosting method to model and map wildfire susceptibility.
Reliab. Eng. Syst. Saf., February, 2024

Context Feature-Based Bridge Detection for Polarimetric SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2024

Coastline Detection in Polarimetric SAR Images Based on Freeman Decomposition and Three-Region Markov Random Field Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Expanded feature space-based gradient boosting ensemble learning for risk prediction of type 2 diabetes complications.
Appl. Soft Comput., September, 2023

Explainable Multitask Shapley Explanation Networks for Real-Time Polyp Diagnosis in Videos.
IEEE Trans. Ind. Informatics, June, 2023

Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal.
IEEE Trans. Multim., 2023

A branch-and-price-and-cut algorithm for the truck-based drone delivery routing problem with time windows.
Eur. J. Oper. Res., 2023

Context Feature Based Bridge Detection for Polarimetric SAR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A Clustering-Based Optimization Method for the Driving Cycle Construction: A Case Study in Fuzhou and Putian, China.
IEEE Trans. Intell. Transp. Syst., 2022

Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis.
IEEE Trans. Cybern., 2022

Interpretable boosting tree ensemble method for multisource building fire loss prediction.
Reliab. Eng. Syst. Saf., 2022

2021
An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy.
Knowl. Based Syst., 2021

Two-stage stacking heterogeneous ensemble learning method for gasoline octane number loss prediction.
Appl. Soft Comput., 2021

2020
An improved random forest-based rule extraction method for breast cancer diagnosis.
Appl. Soft Comput., 2020


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