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Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.4800
Abstract: Detecting early‐stage lung cancer is critical to reduce the lung cancer mortality rate; however, existing models based on germline variants perform poorly, and new models are needed. This study aimed to use extreme gradient boosting…
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Keywords:
gradient boosting;
lung cancer;
cancer;
extreme gradient ... See more keywords
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Published in 2019 at "PROTEOMICS"
DOI: 10.1002/pmic.201800280
Abstract: Shotgun proteomics workflows for database protein identification typically include a combination of search engines and postsearch validation software based mostly on machine learning algorithms. Here, a new postsearch validation tool called Scavager employing CatBoost, an…
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Keywords:
gradient boosting;
postsearch validation;
scavager;
postsearch ... See more keywords
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Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02325-4
Abstract: Ensemble of surrogates has shown to be effective in the modeling of a variety of engineering problems, from aerospace to automotive and oil and gas industries, among many others. The ensemble performance though can be…
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Keywords:
gradient boosting;
ensemble surrogates;
engineering;
approach ... See more keywords
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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06362-3
Abstract: Relative humidity (RH) is one of the important processes in the hydrology cycle which is highly stochastic. Accurate RH prediction can be highly beneficial for several water resources engineering practices. In this study, extreme gradient…
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Keywords:
machine learning;
gradient boosting;
extreme gradient;
relative humidity ... See more keywords
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Published in 2019 at "Machine Learning"
DOI: 10.1007/s10994-019-05787-1
Abstract: Gradient tree boosting is a prediction algorithm that sequentially produces a model in the form of linear combinations of decision trees, by solving an infinite-dimensional optimization problem. We combine gradient boosting and Nesterov’s accelerated descent…
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Keywords:
gradient boosting;
accelerated gradient;
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Published in 2020 at "Earth Science Informatics"
DOI: 10.1007/s12145-020-00530-0
Abstract: Flood occurs as a result of high intensity and long-term rainfalls accompanied by snowmelt which flow out of the main river channel onto the flood prone areas and damage the buildings, roads, and facilities and…
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Keywords:
flood susceptibility;
gradient boosting;
extreme gradient;
boosting egb ... See more keywords
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Published in 2020 at "Cities"
DOI: 10.1016/j.cities.2020.102899
Abstract: Abstract Many studies have explored the relationship between population density and obesity, but there is no consensus, particularly in dense Chinese cities. This study applied gradient boosting decision trees to 2014 national survey data to…
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Keywords:
population density;
gradient boosting;
boosting decision;
decision trees ... See more keywords
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Published in 2020 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2020.119356
Abstract: Abstract Aggregate plays the role of skeleton filling in asphalt pavements. The shape of the aggregate affects the embedded structure between the aggregates, thus affecting the performance of asphalt concrete. In this study, extreme gradient…
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Keywords:
classification;
gradient boosting;
extreme gradient;
aggregate ... See more keywords
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Published in 2022 at "Ecotoxicology and environmental safety"
DOI: 10.1016/j.ecoenv.2022.113332
Abstract: Petrochemical industry is a key industry of soil pollution, which presents great effects on human health and the ecological environment. It is of great significance to achieve rapid, economic and efficient health risk identification for…
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Keywords:
risk;
gradient boosting;
health;
health risk ... See more keywords
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Published in 2021 at "Food Control"
DOI: 10.1016/j.foodcont.2021.107883
Abstract: Abstract The geographical origin of sea cucumber Apostichopus japonicus plays a key role in affecting its economic value. To quickly and effectively identify the geographical origin of sea cucumbers, Fourier transform near infrared (FT-NIR) spectroscopy…
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Keywords:
origin sea;
spectroscopy;
geographical origin;
gradient boosting ... See more keywords
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Published in 2019 at "Optik"
DOI: 10.1016/j.ijleo.2019.163002
Abstract: Abstract Autofocus is an essential part of modern high-throughput optical microscopic imaging system, and the traditional passive autofocus algorithms such as hill climbing search are heuristics and therefore are slow and less accuracy. Instead of…
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Keywords:
boosting machine;
gradient boosting;
microscopy;
learning autofocus ... See more keywords