Generalized–ensemble method study: A helix‐mimetic compound inhibits protein–protein interaction by long‐range and short‐range intermolecular interactions
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.26516
Abstract: A heterocyclic compound mS‐11 is a helix‐mimetic designed to inhibit binding of an intrinsic disordered protein neural restrictive silence factor/repressor element 1 silencing factor (NRSF/REST) to a receptor protein mSin3B. We apply a generalized ensemble… read more here.
Keywords: nrsf rest; ensemble method; range; helix mimetic ... See more keywords
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04167-0
Abstract: With the tremendous development of financial institutions, credit risk prediction (CRP) plays an essential role in granting loans to customers and helps them to minimize their loss because credit approval sometimes results in massive financial… read more here.
Keywords: risk prediction; ensemble method; credit risk; credit ... See more keywords
Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9586-6
Abstract: In this paper a novel hybrid ensemble method aiming at the improvement of models accuracy in regression tasks is presented. The basic idea of the approach is the creation of an ensemble learner composed by… read more here.
Keywords: reliability estimated; ensemble method; hybrid ensemble; learners reliability ... See more keywords
Using Fuzzy Classifier in Ensemble Method for Motor Imagery Electroencephalography Classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-021-01108-8
Abstract: In a motor imagery-based brain–computer interface system, an effective classifier is required. However, the effectiveness of classifier is substantially influenced by the individual differences among electroencephalography (EEG) signals and artifacts. Therefore, in this study, we… read more here.
Keywords: ensemble method; motor imagery; classifier; method ... See more keywords
Improved pollution forecasting hybrid algorithms based on the ensemble method
Sign Up to like & getrecommendations! Published in 2019 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2019.04.032
Abstract: Abstract In a new fine particle concentrations forecasting model, the Hampel identifier outlier correction preprocessing detects and corrects the outliers in the original series. Empirical wavelet transform method decomposes the corrected series into a set… read more here.
Keywords: pollution forecasting; ensemble method; method; forecasting hybrid ... See more keywords
CO2 capture with aqueous solution of sodium glycinate: Modeling using an ensemble method
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Greenhouse Gas Control"
DOI: 10.1016/j.ijggc.2017.03.029
Abstract: Abstract As a type of amino acid salt, sodium glycinate (SG) is introduced as a potential solvent for CO 2 capture from gas streams like sour natural gas and flue gas. Modeling and assessment of… read more here.
Keywords: ensemble method; solution; aqueous solution; sodium glycinate ... See more keywords
A spectral space partition guided ensemble method for retrieving chlorophyll-a concentration in inland waters from Sentinel-2A satellite imagery
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Great Lakes Research"
DOI: 10.1016/j.jglr.2018.09.002
Abstract: Abstract This research proposes an ensemble method for synergistically combining multiple empirical algorithms to better estimate chlorophyll-a (Chl-a) concentration. In previous studies, different empirical algorithms have been employed separately and a single algorithm was often… read more here.
Keywords: spectral space; partition guided; ensemble method; method ... See more keywords
A multi-ensemble method based on deep auto-encoders for fault diagnosis of rolling bearings
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107132
Abstract: Abstract A multi-ensemble method is proposed based on deep auto-encoder (DAE) for fault diagnosis of rolling bearings. At first, several DAEs with different activation functions are trained to obtain different types of features, which are… read more here.
Keywords: multi ensemble; ensemble method; diagnosis; fault diagnosis ... See more keywords
Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Current Eye Research"
DOI: 10.1080/02713683.2021.1900268
Abstract: ABSTRACT Purpose: This study developed and evaluated a deep learning ensemble method to automatically grade the stages of glaucoma depending on its severity. Materials and Methods: After cross-validation of three glaucoma specialists, the final dataset… read more here.
Keywords: ensemble method; method; deep learning; glaucoma ... See more keywords
Comprehensive assessment of nine target prediction web services: which should we choose for target fishing?
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad014
Abstract: Identification of potential targets for known bioactive compounds and novel synthetic analogs is of considerable significance. In silico target fishing (TF) has become an alternative strategy because of the expensive and laborious wet-lab experiments, explosive… read more here.
Keywords: comprehensive assessment; ensemble method; target fishing; prediction ... See more keywords
No-Reference Image Quality Assessment by Wide-Perceptual-Domain Scorer Ensemble Method
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2771422
Abstract: A no-reference (NR) learning-based approach to assess image quality is presented in this paper. The devised features are extracted from wide perceptual domains, including brightness, contrast, color, distortion, and texture. These features are used to… read more here.
Keywords: ensemble method; wide perceptual; image; image quality ... See more keywords