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   Articles with "stacked generalization" as a keyword



Stacked generalization: an introduction to super learning

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recommendations! Published in 2018 at "European Journal of Epidemiology"

DOI: 10.1007/s10654-018-0390-z

Abstract: Stacked generalization is an ensemble method that allows researchers to combine several different prediction algorithms into one. Since its introduction in the early 1990s, the method has evolved several times into a host of methods… read more here.

Keywords: generalization; stacked generalization; introduction super; super learner ... See more keywords

Mapping forest change using stacked generalization: An ensemble approach

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recommendations! Published in 2018 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2017.09.029

Abstract: Abstract The ever-increasing volume and accessibility of remote sensing data has spawned many alternative approaches for mapping important environmental features and processes. For example, there are several viable but highly varied strategies for using time… read more here.

Keywords: mapping forest; generalization; stacked generalization; change using ... See more keywords

LGB-Stack: Stacked Generalization with LightGBM for Highly Accurate Predictions of Polymer Bandgap

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recommendations! Published in 2022 at "ACS Omega"

DOI: 10.1021/acsomega.2c02554

Abstract: Recently, the Ramprasad group reported a quantitative structure–property relationship (QSPR) model for predicting the Egap values of 4209 polymers, which yielded a test set R2 score of 0.90 and a test set root-mean-square error (RMSE)… read more here.

Keywords: stacked generalization; lgb stack; model; test ... See more keywords

Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model

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recommendations! Published in 2024 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btae643

Abstract: Abstract Motivation O-linked glycosylation, an essential post-translational modification process in Homo sapiens, involves attaching sugar moieties to the oxygen atoms of serine and/or threonine residues. It influences various biological and cellular functions. While threonine or… read more here.

Keywords: stacked generalization; language; model; linked glycosylation ... See more keywords

Improved Human-Object Interaction Detection Through On-the-Fly Stacked Generalization

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3061208

Abstract: Human-object interaction (HOI) detection, which finds the relationships between humans and objects, is an important research area, but current HOI detection performance is unsatisfactory. One of the main problems is that CNN-based HOI detection algorithms… read more here.

Keywords: stacked generalization; fly stacked; generalization; detection ... See more keywords

Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series

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recommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2020.2994335

Abstract: Paddy rice is a major stable food, accounting for about 20% world's food supply. And the rice paddy, an important artificial wetland type, plays an important role in the regional ecological environment. This study proposes… read more here.

Keywords: rice; stacked generalization; method; spectral mixture ... See more keywords

Stacked generalization ensemble learning strategy for multivariate prediction of delamination and maximum thrust force in composite drilling

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recommendations! Published in 2024 at "Journal of Composite Materials"

DOI: 10.1177/00219983241289494

Abstract: The complexity of drilling carbon fiber reinforced polymers (CFRP) requires accurate predictive models. This study addresses the challenge using an ensemble machine learning (ML) approach with stacked generalization. The model captures the relationships between key… read more here.

Keywords: thrust force; stacked generalization; force; drilling ... See more keywords

Stacked generalization as a computational method for the genomic selection

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recommendations! Published in 2024 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2024.1401470

Abstract: As genomic selection emerges as a promising breeding method for both plants and animals, numerous methods have been introduced and applied to various real and simulated data sets. Research suggests that no single method is… read more here.

Keywords: method; stacked generalization; performance; computational method ... See more keywords