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An interpretable machine learning model for predicting prognosis of medulloblastoma integrating genetic and clinical features. [PDF]

open access: yesCommun Med (Lond)
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Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Engineering with Computers, 2021
Accurate prediction of ground vibration caused by blasting has always been a significant issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon to nearby buildings and should be prevented. In this regard, a new intelligent method for predicting peak particle velocity (PPV) induced by blasting had been developed ...
Yingui Qiu   +5 more
openaire   +1 more source

Crude oil price forecasting using XGBoost

2017 International Conference on Computer Science and Engineering (UBMK), 2017
One of the most important role of economic variables in today's world countries are the price and the change of the price of crude oil. Changes in the price of crude oil have a very critical role in terms of treasury and budget, both in company and state planning.
Gumus, Mesut, Kiran, Mustafa S.
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Single-Sentence Compression using XGBoost

International Journal of Information Retrieval Research, 2019
Sentence compression is known as presenting a sentence in a fewer number of words compared to its original one without changing the meaning. Recent works on sentence compression formulates the problem as an integer linear programming problem (ILP) then solves it using an external ILP-solver which suffers from slow running time.
Deepak Sahoo   +1 more
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