Crash severity analysis in distracted driving using unlabeled and imbalanced data: A novel approach using Robust Two-Phase Ensemble Predictor-Reference-Cited by-同舟云学术

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Crash severity analysis in distracted driving using unlabeled and imbalanced data: A novel approach using Robust Two-Phase Ensemble Predictor

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Data Analytics for Business and Industry (ICDABI)
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Author:

Bag Subhajit¹,Maity Saptashwa²,Sarkar Sobhan³

Affiliation:

1. IIT Kharagpur,Department of Chemical Engineering,Kharagpur,WB,India,721302

2. IIT Kharagpur,Department of Agricultural & Food Engineering,Kharagpur,WB,India,721302

3. IIM Ranchi,Information Systems & Business Analytics,Ranchi,Jharkhand,India,834008

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10041434/10041254/10041646.pdf?arnumber=10041646

Reference20 articles.

1. Efficient algorithms for agglomerative hierarchical clustering methods

2. Visualizing similarity data with a mixture of maps;cook;Artificial Intelligence and Statistics,2007

3. SMOTE: Synthetic Minority Over-sampling Technique

4. A comparison of statistical significance tests for information retrieval evaluation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features;Engineering Applications of Artificial Intelligence;2023-08

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