An Ensemble of Multiple Boosting Methods Based on Classifier-Specific Soft Voting for Intelligent Vehicle Crash Injury Severity Prediction

Lei Liu, Xi Zhang, Ye Liu, Wangwang Zhu, Baixuan Zhao. An Ensemble of Multiple Boosting Methods Based on Classifier-Specific Soft Voting for Intelligent Vehicle Crash Injury Severity Prediction. In 6th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2020, Oxford, UK, August 3-6, 2020. pages 17-24, IEEE, 2020. [doi]

@inproceedings{LiuZLZZ20,
  title = {An Ensemble of Multiple Boosting Methods Based on Classifier-Specific Soft Voting for Intelligent Vehicle Crash Injury Severity Prediction},
  author = {Lei Liu and Xi Zhang and Ye Liu and Wangwang Zhu and Baixuan Zhao},
  year = {2020},
  doi = {10.1109/BigDataService49289.2020.00011},
  url = {https://doi.org/10.1109/BigDataService49289.2020.00011},
  researchr = {https://researchr.org/publication/LiuZLZZ20},
  cites = {0},
  citedby = {0},
  pages = {17-24},
  booktitle = {6th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2020, Oxford, UK, August 3-6, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7022-0},
}