Funder
National Key Research and Development Program of China
Reference48 articles.
1. Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI);Adadi;IEEE Access,2018
2. Ahli, A., Raza, A., Akpinar, K.O., Akpinar, M., 2023. Binary and Multi-Class Classification on the IoT-23 Dataset. In: 2023 Advances in Science and Engineering Technology International Conferences. ASET, pp. 1–7.
3. Cost-sensitive risk induced Bayesian inference bagging (RIBIB) for credit card fraud detection;Akila;J. Comput. Sci.,2018
4. Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions;Anon;Knowl.-Based Syst.,2021
5. Integration of unsupervised and supervised machine learning algorithms for credit risk assessment;Bao;Expert Syst. Appl.,2019