@inproceedings{a1aba04afe004a99a8d9d97c5c418744,
title = "Kernelized Extreme Learning Machine Enabled Churn Predictive Financial Risk Assessment Model",
keywords = "Churn Prediction, Customer data, Data classification, Decision making, Machine learning",
author = "Dimlo, \{U. M.Fernandes\} and Rosario Huerta-Soto and Laura Nivin-Vargas and John Tarazona-Jim{\'e}nez and Carla Reyes-Reyes and Nitin Girdharwal",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022 ; Conference date: 24-11-2022 Through 26-11-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/ICAISS55157.2022.10010834",
language = "English",
series = "Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "412--417",
booktitle = "Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022",
}
