Predicting Metabolite–Disease Associations Based on LightGBM Model [PDF]
Frontiers in Genetics, 2021 Metabolites have been shown to be closely related to the occurrence and development of many complex human diseases by a large number of biological experiments; investigating their correlation mechanisms is thus an important topic, which attracts many researchers. In this work, we propose a computational method named LGBMMDA, which is based on the Light
Zhang, Cheng, Lei, Xiujuan, Liu, Lian
openaire +3 more sources
A simple but effective method for Indonesian automatic text summarisation
Connection Science, 2022 Automatic text summarisation (ATS) (therein two main approaches–abstractive summarisation and extractive summarisation are involved) is an automatic procedure for extracting critical information from the text using a specific algorithm or method.
Nankai Lin, Jinxian Li, Shengyi Jiang
doaj +1 more source
Stock Price Time Series Data Forecasting Using the Light Gradient Boosting Machine (LightGBM) Model
JOIV: International Journal on Informatics Visualization, 2023 In the world of stock investment, one of the things that commonly happens is stock price fluctuations or the ups and downs of stock prices. As a result of these fluctuations, many novice investors are afraid to play stocks.
Anggit Dwi Hartanto +2 more
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Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review [PDF]
, 2020 The influence of machine learning technologies is rapidly increasing and penetrating almost in every field, and air pollution prediction is not being excluded from those fields.
Iskandaryan, Ditsuhi +2 more
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An Alternative Cross Entropy Loss for Learning-to-Rank
, 2021 Listwise learning-to-rank methods form a powerful class of ranking algorithms that are widely adopted in applications such as information retrieval. These algorithms learn to rank a set of items by optimizing a loss that is a function of the entire set --
Bruch, Sebastian
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Automatic identification of forest species using machine learning methods based on satellite image processing [PDF]
Известия Саратовского университета. Новая серия: Серия Науки о ЗемлеMonitoring of the condition and species diversity of tree species plays a significant role in the forest resource management. The emergence of high-quality multispectral satellite images opens up opportunities for using information about vegetation in a ...
Ogneva, Marina V. +3 more
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Atmosphere, 2023 The atmospheric environment is of great importance to human health. However, its influencing factors are complex and variable. An efficient technique is required to more precisely estimate PM2.5 concentration values.
Xuehu Liu +3 more
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Research on electrical power quality disturbance recognition method based on edge computing and LightGBM [PDF]
ITM Web of Conferences, 2022 In conventional cloud computing, method that data is transmitted and calculated on the cloud cannot satisfy the real-time demand for energy quality disturbance recognition.
Zhu Wenjun +4 more
doaj +1 more source
A LightGBM-Based EEG Analysis Method for Driver Mental States Classification [PDF]
, 2019 Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated ...
Babiloni, Fabio +7 more
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Consistent and Flexible Selectivity Estimation for High-dimensional Data
, 2020 Selectivity estimation aims at estimating the number of database objects that satisfy a selection criterion. Answering this problem accurately and efficiently is essential to many applications, such as density estimation, outlier detection, query ...
Ishikawa, Yoshiharu +7 more
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