Requirement Dependency Extraction Based on Improved Stacking Ensemble Machine Learning
To address the cost and efficiency issues of manually analysing requirement dependency in requirements engineering, a requirement dependency extraction method based on part-of-speech features and an improved stacking ensemble learning model (P-Stacking ...
Hui Guan, Hang Xu, Lie Cai
doaj +1 more source
Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning
Ensemble learning, a pivotal branch of machine learning, amalgamates multiple base models to enhance the overarching performance of predictive models, capitalising on the diversity and collective wisdom of the ensemble to surpass individual models and ...
Ziwei Fan +7 more
doaj +1 more source
Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU
The development of models to estimate the mortality rate of critically ill patients in the intensive care unit(ICU) is significantly enhanced by technologies based on artificial intelligence.
M. Fathima Begum, Subhashini Narayan
doaj +1 more source
StackBRAF: A Large-Scale Stacking Ensemble Learning for BRAF Affinity Prediction. [PDF]
Syahid NF +2 more
europepmc +1 more source
Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution. [PDF]
Ribeiro MHDM +5 more
europepmc +1 more source
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens. [PDF]
Charoenkwan P +2 more
europepmc +1 more source
Rumen Fermentation Parameters Prediction Model for Dairy Cows Using a Stacking Ensemble Learning Method. [PDF]
Wang Y +8 more
europepmc +1 more source
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning. [PDF]
Zhou D, Qiu H, Wang L, Shen M.
europepmc +1 more source
Subway door fault prediction employing stacking ensemble learning. [PDF]
Song H +5 more
europepmc +1 more source
Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients. [PDF]
Hwangbo L +7 more
europepmc +1 more source

