FAST EXPLANATION USING SHAPLEY VALUE FOR OBJECT DETECTION

Fast Explanation Using Shapley Value for Object Detection

In explainable artificial intelligence (XAI) for object Gastrointestinal Health detection, saliency maps are employed to highlight important regions for a learned model’s prediction.However, a trade-off exists wherein the higher the accuracy of explanation results, the higher the computational cost, posing a challenge for practical applicati

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DEPARTMENT OF EMPLOYMENT IN THE REGION

This article discusses the current problems of unemployment in the country, raises the issue of the need for comprehensive assessment of the economically active population in order to reorganize existing employment policy of the population in the Gastrointestinal Health regions.Theoretical and methodological basis of the study was the work of Russi

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Molecular Characterization of White Wines Antioxidant Metabolome by Ultra High Performance Liquid Chromatography High-Resolution Mass Spectrometry

The knowledge about the molecular fraction contributing to white wines oxidative stability is still poorly understood.However, the role of S- and N-containing compounds, like glutathione and other peptides, as a source of reductant in many oxidation reactions, and acting against PATCHOULI LIME BODY LOTION heavy metals toxicity, or lipid and polyphe

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Modeling of Macroscopic Building Evacuation Using IFC Data

Presently, most models of crowd evacuations within a building are created manually.This is inefficient.To address this issue, this paper focuses on the differences and relationship Bottle between industry foundation classes (IFC) and the macroscopic network model for evacuation (MNME), and studies the mapping and construction methods used to conver

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