Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2.5 sensor
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Aerosol Science"
DOI: 10.1016/j.jaerosci.2021.105809
Abstract: Abstract Low-cost sensors (LCS) can construct a high spatial and temporal resolution PM2.5 network but are affected by environmental parameters such as relative humidity and temperature. The data generated by LCS are inaccurate and require… read more here.
Keywords: regression; calibration; learning regression; low cost ... See more keywords
Ensemble learning regression for estimating river discharges using satellite altimetry data: Central Congo River as a Test-bed
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.12.010
Abstract: Abstract Hydraulic variables obtained from remotely sensed data have been successfully used to estimate river discharge (Q). However, most studies have used a rating curve based on a single hydraulic variable or the Manning equation… read more here.
Keywords: elq; ensemble learning; learning regression; river ... See more keywords
Bayesian multitask learning regression for heterogeneous patient cohorts
Sign Up to like & getrecommendations! Published in 2019 at "Journal of biomedical informatics"
DOI: 10.1016/j.yjbinx.2019.100059
Abstract: Multitask learning (MTL) leverages commonalities across related tasks with the aim of improving individual task performance. A key modeling choice in designing MTL models is the structure of the tasks' relatedness, which may not be… read more here.
Keywords: learning regression; multitask learning; task; bayesian multitask ... See more keywords
Deep Relation Learning for Regression and Its Application to Brain Age Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3161739
Abstract: Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, we propose deep relation learning for regression, aiming to learn… read more here.
Keywords: regression; relation learning; deep relation; learning regression ... See more keywords
Machine Learning Regression Model for Predicting Honey Harvests
Sign Up to like & getrecommendations! Published in 2020 at "Agriculture"
DOI: 10.3390/agriculture10040118
Abstract: Honey yield from apiary sites varies significantly between years. This affects the beekeeper’s ability to manage hive health, as well as honey production. This also has implications for ecosystem services, such as forage availability for… read more here.
Keywords: model; honey; machine learning; learning regression ... See more keywords