Results 41 to 50 of about 88,463 (183)
Stroke Prediction with Enhanced Gradient Boosting Classifier and Strategic Hyperparameter [PDF]
A stroke is a medical condition that occurs when the blood supply to the brain is interrupted. Stroke can cause damage to the brain that can potentially affect a person’s function and ability to move, speak, think, and feel normally. The effect of stroke
Aditya, Christian Sri Kusuma +3 more
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Epileptic seizure detection using EEG signals and extreme gradient boosting
The Journal of Biomedical Research, 2020 The problem of automated seizure detection is treated using clinical electroencephalograms (EEG) and machine learning algorithms on the Temple University Hospital EEG Seizure Corpus (TUSZ). Performances on this complex data set are still not encountering expectations.
Paul Vanabelle +4 more
openaire +3 more sources
BuildingsThe standard approach for testing ordinary concrete compressive strength (CS) is to cast samples and test them after different curing times. However, testing adds cost and time to projects, and, therefore, construction sites experience delays.
Fei Zhu +3 more
doaj +1 more source
Gradient boosting with extreme-value theory for wildfire prediction
Extremes, 2023 AbstractThis paper details the approach of the teamKohrrelationin the 2021 Extreme Value Analysis data challenge, dealing with the prediction of wildfire counts and sizes over the contiguous US. Our approach uses ideas from extreme-value theory in a machine learning context with theoretically justified loss functions for gradient boosting.
openaire +4 more sources
Impact of 25-Hydroxyvitamin D on the Prognosis of Acute Ischemic Stroke: Machine Learning Approach
Frontiers in Neurology, 2020 Background and Purpose: Vitamin D is a predictor of poor outcome for cardiovascular disease. We evaluated whether serum 25-hydroxyvitamin D level was associated with poor outcome in patients with acute ischemic stroke (AIS) using machine learning ...
Chulho Kim +10 more
doaj +1 more source
Using Big Data to Enhance the Bosch Production Line Performance: A Kaggle Challenge
, 2016 This paper describes our approach to the Bosch production line performance challenge run by Kaggle.com. Maximizing the production yield is at the heart of the manufacturing industry.
Kumar, Nishant, Mangal, Ankita
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Sensors, 2019 Accurate and timely misfire fault diagnosis is of vital significance for diesel engines. However, existing algorithms are prone to fall into model over-fitting and adopt low energy-concentrated features.
Jianfeng Tao +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Soil moisture (SM) plays a critical role in various fields such as agriculture, hydrology, and land-atmosphere interactions. This study aims to evaluate the performance of the categorical boosting algorithm (CatBoost) in comparison to other multiple ...
Ya Gao +4 more
doaj +1 more source
Optimization by gradient boosting
, 2017 Gradient boosting is a state-of-the-art prediction technique that sequentially produces a model in the form of linear combinations of simple predictors---typically decision trees---by solving an infinite-dimensional convex optimization problem.
Biau, Gérard, Cadre, Benoît
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Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm. [PDF]
, 2020 ObjectivesEvaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral health ...
Coulter, ID +10 more
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