Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-08223-8_34
Reference9 articles.
1. Almohimeed, R.: UK traffic accidents - data analysis (10+years) (2019). https://medium.com/@rawanme/
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3. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321–357 (2002). https://doi.org/10.1613/jair.953
4. Hasselt, H.v., Guez, A., Silver, D.: Deep reinforcement learning with double q-learning. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence, pp. 2094–2100. AAAI 2016, AAAI Press (2016)
5. Haynes, S., Estin, P.C., Lazarevski, S., Soosay, M., Kor, A.: Data analytics: Factors of traffic accidents in the UK. In: 10th International Conference on Dependable Systems, Services and Technologies, Leeds, United Kingdom, 5–7 June 2019, pp. 120–126. IEEE (2019). https://doi.org/10.1109/DESSERT.2019.8770021
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