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Detection of Parkinson's Disease using Extreme Gradient Boosting
2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021Parkinson's disease is a brain-related disease that is common in every person mainly persons above age 45 years. This disease causes numbness in muscles, swallowing problems, bending of the back, shivering in hands, smell dysfunction, speaking problem, Hearing problem, and many more.
L. V. Rajani Kumari +4 more
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Extreme Gradient Boosting and Behavioral Biometrics
Proceedings of the AAAI Conference on Artificial Intelligence, 2017As insider hacks become more prevalent it is becoming more useful to identify valid users from the inside of a system rather than from the usual external entry points where exploits are used to gain entry. One of the main goals of this study was to ascertain how well Gradient Boosting could be used for prediction or, in this case ...
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Encrypted Traffic Classification Using eXtreme Gradient Boosting Algorithm
2021In an organization, encrypted traffic is generated not only from HTTPS, VOIP, and SMTPS protocols but also from private VPNs and TOR browsers. Employees use these tools to access websites restricted by the organization. VPN and TOR traffic consumes important network resources and also violates organizational policies.
Neha Gupta, Vinita Jindal, Punam Bedi
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Extreme Gradient Boosting using Squared Logistics Loss function
2017Tree boosting has empirically proven to be a highly effective approach to predictive modeling. It has shown remarkable results for a vast array of problems. More recently, a tree boosting method known as XGBoost has gained popularity by winning numerous machine learning competitions.
Anju, Hazarika, Akaash Vishal
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Predicting Osteosarcoma using eXtreme Gradient Boosting Model
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), 2022P Varalakshmi +2 more
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Extreme Gradient Boosting with Squared Logistic Loss Function
2018Tree boosting has empirically proven to be a highly effective and versatile approach for predictive modeling. The core argument is that tree boosting can adaptively determine the local neighborhoods of the model thereby taking the bias-variance trade-off into consideration during model fitting.
Nonita Sharma +2 more
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Extreme Gradient Boosting based Fetal Health Classification
2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), 2023S. Neelakandan +3 more
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Microbial diversity in extreme environments
Nature Reviews Microbiology, 2021Wen-Sheng Shu, Li-Nan Huang
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Postoperative Discharge Destination Classification via Extreme Gradient Boosting
2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS), 2022Gernel S Lumacad +2 more
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