Search Results - subject:"Class imbalance"

Forecasting China bond default with severe class-imbalanced data : a simple learning model with causal inference

Peng, Mike W.; Stern, Elisheva R.; Hu, Hanwen - In: Economic modelling 144 (2025), pp. 1-16

Persistent link: https://www.econbiz.de/10015195157

Application of standard machine learning models for Medicare fraud detection with imbalanced data

Farahmandazad, Dorsa; Danesh, Kasra; Abadi, Hossein … - In: Risks : open access journal 13 (2025) 10, pp. 1-25

enhance Medicare fraud detection, addressing key challenges such as class imbalance, high-dimensional data, and evolving fraud … method to address the class imbalance, feature selection for dimensionality reduction, and aggregation of diagnostic and …

Persistent link: https://www.econbiz.de/10015492653

A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews

Moreno-Garcia, Carlos Francisco; Jayne, Chrisina; … - 2023

Zero-shot classification refers to assigning a label to a text (sentence, paragraph, whole paper) without prior training. This is possible by teaching the system how to codify a question and find its answer in the text. In many domains, especially health sciences, systematic reviews are...

Persistent link: https://www.econbiz.de/10014505380

Detecting pump-and-dumps with crypto-assets : dealing with imbalanced datasets and insiders’ anticipated purchases

Fantazzini, Dean; Xiao, Yufeng - In: Econometrics : open access journal 11 (2023) 3, pp. 1-73

Detecting pump-and-dump schemes involving cryptoassets with high-frequency data is challenging due to imbalanced datasets and the early occurrence of unusual trading volumes. To address these issues, we propose constructing synthetic balanced datasets using resampling methods and flagging a...

Persistent link: https://www.econbiz.de/10014425717

Enhancing financial fraud detection through addressing class imbalance using hybrid SMOTE-GAN techniques

Cheah, Patience Chew Yee; Yang, Yue; Lee, Boon Giin - In: International Journal of Financial Studies : open … 11 (2023) 3, pp. 1-17

The class imbalance problem in finance fraud datasets often leads to biased prediction towards the nonfraud class … Oversampling TEchnique (SMOTE), a Generative Adversarial Network (GAN), and their combinations to address the class imbalance issue …

Persistent link: https://www.econbiz.de/10014414370

Predicting student engagement in virtual learning environments using ML approaches with data balancing techniques

Riza, Lediana Shala; Bexheti, Lejla Abazi - In: Navigating Economic Uncertainty - Vol. 2 : Proceedings …, (pp. 257-272). 2025

Persistent link: https://www.econbiz.de/10015339845

An explainable ADASYN-based focal loss approach for credit assessment

Shahee, Shaukat Ali; Patel, Rujavi - In: Journal of forecasting 44 (2025) 4, pp. 1513-1530

Persistent link: https://www.econbiz.de/10015464678

Recession forecasting with high-dimensional data

Nevasalmi, Lauri - In: Journal of forecasting 41 (2022) 4, pp. 752-764

Persistent link: https://www.econbiz.de/10013287849

A novel deep ensemble model for imbalanced credit scoring in internet finance

Xiao, Jin; Zhong, Yu; Jia, Yanlin; Wang, Yadong; Li, Ruoyi - In: International journal of forecasting 40 (2024) 1, pp. 348-372

Persistent link: https://www.econbiz.de/10014450275

Sample selection bias in non-traditional lending : a copula-based approach for imbalanced data

Calabrese, Raffaella; Osmetti, Silvia Angela; Zanin, Luca - In: Socio-economic planning sciences : the international … 95 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10015101827