## 3 Methodology
### The ReMAHA Algorithm
#### 3.2.4 ReMAHA
[CrossRef]
* (13) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A Road-Level Traffic Accident Risk Prediction Method. _Beijing Youdian Daxue XuehouJ. Beijing Univ. Posts Telecommun._**2022**, _45_, 72-78. [CrossRef]
* (14) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Survey of multi-class imbalanced data classification methods. _Appl. Res. Comput._**2022**, _39_, 3534-3545. [CrossRef]
* (15) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Survey on imbalanced multi-class classification algorithms. _J. Comput. Appl._**2022**, _42_, 3307-3321. [CrossRef]
* (16) [PERSON]; [PERSON]w.; [PERSON] Multi-granularity relabeled under-sampling algorithm for imbalanced data. _Appl. Soft Comput._**2022**, _124_, 109083. [CrossRef]
* (17) [PERSON]; [PERSON]; [PERSON]; [PERSON] An Under-sampling Algorithm Based on Weighted Complexity and Its Application in Software Defect Prediction. In Proceedings of the 2022 5 th International Conference on Software Engineering and Information Management, Yokohama, Japan, 21-23 January 2022; pp. 38-44. * (18) [PERSON]; [PERSON]; [PERSON] Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning. _IEEE Trans. Knowl. Data Eng._**2023**, _35_, 6167-6181. [CrossRef]
* (19) [PERSON]; [PERSON]; [PERSON]; [PERSON] SMOTE: Synthetic minority over-sampling technique. _J. Artif. Int. Res._**2002**, _16_, 321-357. [CrossRef]
* (20) [PERSON]; [PERSON] An Over Sampling Method of Unbalanced Data Based on Ant Colony Clustering. _IEEE Access_**2021**, \(9\), 130990-130996. [CrossRef]
* (21) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [Journal First] MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction. In Proceedings of the 2018 IEEE/ACM 40 th International Conference on Software Engineering (ICSE), Gothenburg, Sweden, 27 May-3 June 2018; p. 699. * (22) [PERSON]; [PERSON]; [PERSON] DOSS: Dual Over Sampling Strategy for Imbalanced Data Classification. In Proceedings of the IECON 2018--44 th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, USA, 21-23 October 2018; pp. 5389-5394. * (23) [PERSON]; [PERSON], [PERSON] Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: An experimental study. _Artif. Intell. Rev._**2023**, _56_, 845-863. [CrossRef]
* (24) [PERSON]; [PERSON] A comprehensive review on ensemble deep learning: Opportunities and challenges. _J. King Saud Univ.-Comput. Inf. Sci._**2023**, _35_, 757-774. [CrossRef]
* (25) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Automated COVID-19 Detection From Exhaled Human Breath Using CNN-CatBoost Ensemble Model. _IEEE Sens. Lett._**2023**, \(7\), 1-4. [CrossRef]* (26) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Spatial Distribution-Based Imbalanced Undersampling. _IEEE Trans. Knowl. Data Eng._**2023**, _35_, 6376-6391. [CrossRef]
* (27) [PERSON]; [PERSON]; [PERSON]; [PERSON] HUSBoost: A Hubness-Aware Boosting for High-Dimensional Imbalanced Data Classification. In Proceedings of the 2019 International Conference on Machine Learning and Data Engineering (iCMLDE), 2-4 December 2019; pp. 36-41. * (28) [PERSON]; [PERSON]; [PERSON]; [PERSON]. A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. _Appl. Soft Comput._**2022**, _123_, 108916. [CrossRef]
* (29) [PERSON] Research on Cost-sensitive Classification Methods for Imbalanced Data. In Proceedings of the 2021 International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA), Xi'an, China, 28-30 May 2021; pp. 224-228. * (30) [PERSON]; [PERSON]; [PERSON]; [PERSON] Exploring factors associated with crash severity on motorways in Pakistan. _Proc. Inst. Ciz. Eng.-Transp._**2022**, _175_, 189-198. [CrossRef]
* (31) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights.