Publisher
Springer Nature Singapore
Reference17 articles.
1. Jain, D., Singh, V.: A two-phase hybrid approach using feature selection and adaptive SVM for chronic disease classification. Int. J. Comput. Appl. 43, 524–536 (2021)
2. Dumitrescu, E., Hué, S., Hurlin, C., Tokpavi, S.: Machine learning for credit scoring: improving logistic regression with non-linear decision-tree effects. Eur. J. Oper. Res. 297, 1178–1192 (2022)
3. Szafraniec-Siluta, E., Zawadzka, D., Strzelecka, A.: Application of the logistic regression model to assess the likelihood of making tangible investments by agricultural enterprises. Procedia Comput. Sci. 207, 3894–3903 (2022)
4. Han, K., Hong, S., Cheon, J.H., Park, D.: Logistic regression on homomorphic encrypted data at scale. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, 9pp. 466–9471 (2019)
5. Mandal, K., & Gong, G.: PrivFL: practical privacy-preserving federated regressions on high-dimensional data over mobile networks. In: Proceedings of the 2019 ACM SIGSAC Conference on Cloud Computing Security Workshop, pp. 57–68 (2019)