Cataract grading method based on deep convolutional neural networks and stacking ensemble learning
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22722
Abstract: The cataract is the most common cause of severe vision impairment or blindness worldwide. A periodical diagnosis is recommended in order to prevent cataract severity, where screening might be feasibly ensured through fundus images. In… read more here.
Keywords: neural networks; ensemble learning; stacking ensemble; fundus images ... See more keywords
Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications
Sign Up to like & getrecommendations! Published in 2021 at "New Generation Computing"
DOI: 10.1007/s00354-021-00144-0
Abstract: The recent outbreak of novel coronavirus disease (COVID-19) has resulted in healthcare crises across the globe. Moreover, the persistent and prolonged complications of post-COVID-19 or long COVID are also putting extreme pressure on hospital authorities… read more here.
Keywords: covid complications; post covid; covid; stacking ensemble ... See more keywords
Estimation of seismic wave incident angle using vibration response data and stacking ensemble algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2021.104255
Abstract: Abstract The determination of the incident angle of an earthquake is one of the critical research issues in modeling the seismic input mechanism at a dam site and it is also for geological exploration. At… read more here.
Keywords: angle; incident angle; stacking ensemble; estimation ... See more keywords
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elac057
Abstract: Enhancers, a class of distal cis-regulatory elements located in the non-coding region of DNA, play a key role in gene regulation. It is difficult to identify enhancers from DNA sequence data because enhancers are freely… read more here.
Keywords: ienhancer sknn; ensemble learning; stacking ensemble; sequence ... See more keywords
An Optimal Stacking Ensemble for Remaining Useful Life Estimation of Systems Under Multi-Operating Conditions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2973500
Abstract: Remaining useful life (RUL) estimation is expected to provide appropriate maintenance for components or systems in industry to improve the reliability of the systems. Most data-based methods are limited to a single model, which is… read more here.
Keywords: useful life; stacking ensemble; operating conditions; estimation ... See more keywords
Research on Sand-Dust Storm Forecasting Based on Deep Neural Network With Stacking Ensemble Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3216309
Abstract: Weather forecasting is an important factor affecting production and life. With the development of technology, weather forecasting methods such as weather map forecasting, numerical weather forecasting, and quantitative forecasting methods have emerged. However, these traditional… read more here.
Keywords: network; dust storm; sand dust; stacking ensemble ... See more keywords
Adaptive Data Balancing Method Using Stacking Ensemble Model and Its Application to Non-Technical Loss Detection in Smart Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230952
Abstract: A stacking ensemble model (SEM) is proposed in this paper to identify non-technical losses. Three layers make up the proposed model. Data pre-processing is performed at the first layer, where issues of data imbalance, missing… read more here.
Keywords: adaptive data; stacking ensemble; layer; non technical ... See more keywords
Financial Fraud Identification Based on Stacking Ensemble Learning Algorithm: Introducing MD&A Text Information
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1780834
Abstract: In recent years, there have been frequent incidents of financial fraud committed through various means. How to more efficiently identify financial fraud and maintain capital market order is a problem that scholars from all walks… read more here.
Keywords: fraud identification; fraud; ensemble learning; stacking ensemble ... See more keywords
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information
Sign Up to like & getrecommendations! Published in 2020 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-3406-0
Abstract: Background The interactions between non-coding RNAs (ncRNA) and proteins play an essential role in many biological processes. Several high-throughput experimental methods have been applied to detect ncRNA-protein interactions. However, these methods are time-consuming and expensive.… read more here.
Keywords: protein; protein interactions; framework; ncrna protein ... See more keywords
Very Short-term Wind Energy Forecasting Based on Stacking Ensemble
Sign Up to like & getrecommendations! Published in 2020 at "ChemBioChem"
DOI: 10.21528/cbic2019-22
Abstract: Wind power generation is one of the technologies of electric production which still in development in Brazil, however, it already has a great penetration in the national energy matrix, representing 13.98% of the national energy… read more here.
Keywords: wind energy; energy; energy forecasting; stacking ensemble ... See more keywords
pSuc-FFSEA: Predicting Lysine Succinylation Sites in Proteins Based on Feature Fusion and Stacking Ensemble Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cell and Developmental Biology"
DOI: 10.3389/fcell.2022.894874
Abstract: Being a new type of widespread protein post-translational modifications discovered in recent years, succinylation plays a key role in protein conformational regulation and cellular function regulation. Numerous studies have shown that succinylation modifications are closely… read more here.
Keywords: succinylation; succinylation sites; psuc ffsea; stacking ensemble ... See more keywords