Summary of Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice, by Yang Lu and Felix Zhan
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practiceby Yang Lu,…
Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practiceby Yang Lu,…
Optimal Bound for PCA with Outliers using Higher-Degree Voronoi Diagramsby Sajjad Hashemian, Mohammad Saeed Arvenaghi,…
Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENNby Chang Yu,…
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentationby McKell Woodland,…
Automated Classification of Dry Bean Varieties Using XGBoost and SVM Modelsby Ramtin ArdeshirifarFirst submitted to…
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease…
Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature Selectionby Junjing Zheng, Xinyu Zhang, Weidong…
Credit Card Fraud Detection in the Nigerian Financial Sector: A Comparison of Unsupervised TensorFlow-Based Anomaly…
Federated PCA on Grassmann Manifold for IoT Anomaly Detectionby Tung-Anh Nguyen, Long Tan Le, Tuan…
Bayesian calibration of stochastic agent based model via random forestby Connor Robertson, Cosmin Safta, Nicholson…