An Event Detection Mechanism with Deep Feature Extraction and Optimal Loss Function Based XGBoost Classifier

An Event Detection Mechanism with Deep Feature Extraction and Optimal Loss Function Based XGBoost Classifier

Purpose: Interoceptions are a combination of sensation, integration, and interpretation of internal bodily signals. Interoceptions are bidirectionally related to the human being mental and physiological health, and well-being. Sleep and different interoceptive modalities are proven to share common...

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Bibliographic Details
Main Authors: B. Manjula, P Venkateshwarlu
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2024-06-01
Series:Frontiers in Biomedical Technologies
Subjects:
Support Vector Machine
Random Forest Classifier
Deep Stacked Auto-Encoder
XGBoost Classifier Extreme Gradient Boost Classifier
Classification
Event Detection
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/612

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https://fbt.tums.ac.ir/index.php/fbt/article/view/612

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