Abstract: Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning ...

Abstract: Credit card fraud detection remains a critical challenge in the financial industry, demanding robust, scalable, and adaptive solutions. This paper explores the existing research landscape, ...

Seven machine learning models were developed and evaluated in terms of discrimination, calibration, and clinical utility. The SHAP (Shapley Additive Explanations) method was used to interpret the ...

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods Roozbeh Razavi-Far , Mohammad Meymani , Erfan Mahmoudinia , Dorsa Vazirzade , Peyman Paknezhad , Fateme ...

Based on the aforementioned limitations, this study proposes a multi source data fusion based risk assessment method for agricultural ecological environments. The proposed approach integrates symbolic ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...