Grafted and vanishing random subspaces
Sign Up to like & getrecommendations! Published in 2022 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-01029-0
Abstract: The random subspace method (RSM) is an ensemble procedure in which each constituent learner is constructed using a randomly chosen subset of the data features. Regression trees are ideal candidate learners in RSM ensembles. By… read more here.
Keywords: vanishing random; feature; random subspace; feature subsets ... See more keywords
Random subspace-based ensemble modeling for near-infrared spectral diagnosis of colorectal cancer.
Sign Up to like & getrecommendations! Published in 2019 at "Analytical biochemistry"
DOI: 10.1016/j.ab.2018.12.009
Abstract: The feasibility of using near-infrared (NIR) spectroscopy coupled with classifier ensemble for improving the diagnosis of colorectal cancer was explored. A total of 157 NIR spectra from the patients were recorded and partitioned into the… read more here.
Keywords: random subspace; near infrared; colorectal cancer; subspace ... See more keywords
Leaf recognition using contour unwrapping and apex alignment with tuned random subspace method
Sign Up to like & getrecommendations! Published in 2018 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2018.04.001
Abstract: The variation in scale, translation and rotation pose the main challenges to automatic leaf recognition. This paper introduces an automatic leaf recognition method which uses generalised Procrustes analysis (GPA) to mutually align all leaf contours… read more here.
Keywords: random subspace; analysis; method; leaf recognition ... See more keywords
Pharmacovigilance from social media: An improved random subspace method for identifying adverse drug events
Sign Up to like & getrecommendations! Published in 2018 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2018.06.008
Abstract: OBJECTIVE Recent advances in Web 2.0 technologies have seen significant strides towards utilizing patient-generated content for pharmacovigilance. Social media-based pharmacovigilance has great potential to augment current efforts and provide regulatory authorities with valuable decision aids.… read more here.
Keywords: social media; random subspace; method; drug ... See more keywords
Semi-random subspace with Bi-GRU: Fusing statistical and deep representation features for bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.108603
Abstract: Abstract Statistical features and deep representation features have been widely used in bearing fault diagnosis. These two kinds of features have their superiorities, however, few studies have explored combining them and considering their heterogeneousness. Therefore,… read more here.
Keywords: random subspace; bearing fault; semi random; representation features ... See more keywords
Anti-cross validation technique for constructing and boosting random subspace neural network ensembles for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2019.1618926
Abstract: Abstract Achieving high classification accuracy is vital in reliable information extraction from images. Single classifiers and existing ensemble methods suffer from data dimensionality, insufficient ground truth information and lack in defining optimal feature selection. This… read more here.
Keywords: classification; random subspace; validation; cross validation ... See more keywords
A random subspace ensemble classification model for discrimination of power quality events in solar PV microgrid power network
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0262570
Abstract: This study proposes SVM based Random Subspace (RS) ensemble classifier to discriminate different Power Quality Events (PQEs) in a photovoltaic (PV) connected Microgrid (MG) model. The MG model is developed and simulated with the presence… read more here.
Keywords: random subspace; classification; power; subspace ensemble ... See more keywords
Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2020.00236
Abstract: The feasibility of the random subspace ensemble learning method was explored to improve the performance of functional near-infrared spectroscopy-based brain-computer interfaces (fNIRS-BCIs). Feature vectors have been constructed using the temporal characteristics of concentration changes in… read more here.
Keywords: random subspace; subspace ensemble; functional near; spectroscopy ... See more keywords