Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems

A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection

(2021) Zhenchuan Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adjusting the imbalance ratio by the dimensionality of imbalanced data

(2020) Rui Zhu et al.   PATTERN RECOGNITION LETTERS

Deep reinforcement learning for imbalanced classification

(2020) Enlu Lin et al.   APPLIED INTELLIGENCE

Machine Learning and Big Data in the Impact Literature. A Bibliometric Review with Scientific Mapping in Web of Science

(2020) Jesús López Belmonte et al.   Symmetry-Basel

Comparative analysis of different characteristics of automatic sleep stages

(2019) Dechun Zhao et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An empirical comparison of techniques for the class imbalance problem in churn prediction

(2017) Bing Zhu et al.   INFORMATION SCIENCES

Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating

(2016) Ahnaf Rashik Hassan et al.   Biocybernetics and Biomedical Engineering

100% Classification Accuracy Considered Harmful: The Normalized Information Transfer Factor Explains the Accuracy Paradox

(2014) Francisco J. Valverde-Albacete et al.   PLoS One

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Credit Card Fraud Detection Using Hidden Markov Model

(2008) A. Srivastava et al.   IEEE Transactions on Dependable and Secure Computing