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pro vyhledávání: '"Sampling Techniques"'
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection
Autor:
Kabane, Siyaxolisa
Credit card fraud detection remains a critical challenge in financial security, with machine learning models like XGBoost(eXtreme gradient boosting) emerging as powerful tools for identifying fraudulent transactions. However, the inherent class imbal
Externí odkaz:
http://arxiv.org/abs/2412.07437
Publikováno v:
JCAP10(2024)041
Understanding the first billion years of the universe requires studying two critical epochs: the Epoch of Reionization (EoR) and Cosmic Dawn (CD). However, due to limited data, the properties of the Intergalactic Medium (IGM) during these periods rem
Externí odkaz:
http://arxiv.org/abs/2406.15832
Publikováno v:
Gulhane Medical Journal. 2024, Vol. 66 Issue 4, p190-195. 6p.
Autor:
Vardhan, Harsh, Timalsina, Umesh, Sandborn, Michael, Hyde, David, Volgyesi, Peter, Sztipanovits, Janos
In this work, we introduce an open-source integrated CAD-CFD tool, Anvil, which combines FreeCAD for CAD modeling and OpenFOAM for CFD analysis, along with an AI-based optimization method (Bayesian optimization) and other sampling algorithms. Anvil s
Externí odkaz:
http://arxiv.org/abs/2407.02519
Akademický článek
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