Results 141 to 150 of about 65,886 (196)

Enhancing pH prediction accuracy in Al₂O₃ gated ISFET using XGBoost regressor and stacking ensemble learning. [PDF]

Sci Rep
Panda A, Datar R, Deshpande S, Bacher G.
europepmc   +1 more source

Improved Prediction of Hourly PM_2.5 Concentrations with a Long Short-Term Memory Optimized by Stacking Ensemble Learning and Ant Colony Optimization. [PDF]

Toxics
Liu Z, Hong X.
europepmc   +1 more source

Interpretable artificial intelligence (AI) for cervical cancer risk analysis leveraging stacking ensemble and expert knowledge. [PDF]

Digit Health
Roy P, Hasan M, Islam MR, Uddin MP.
europepmc   +1 more source

Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique. [PDF]

Sci Rep
Panwar P, Chaurasia S, Gangrade J, Bilandi A, Pruthviraja D.   +4 more
europepmc   +1 more source

Enhancing spatial resolution of satellite soil moisture data through stacking ensemble learning techniques. [PDF]

Sci Rep
Tahmouresi MS, Niksokhan MH, Ehsani AH.
europepmc   +1 more source

Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases. [PDF]

Sci Rep
Zhang HW, Wang YR, Hu B, Song B, Wen ZJ, Su L, Chen XM, Wang X, Zhou P, Zhong XM, Pang HW, Wang YH.   +11 more
europepmc   +1 more source

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Mortality forecasting using stacked regression ensembles

Scandinavian Actuarial Journal, 2021
There are many alternative approaches to selecting mortality models and forecasting mortality. The standard practice is to produce forecasts using a single model such as the Lee-Carter, the Cairns-Blake-Dowd, or the Age- Period-Cohort model, with model selection based on in-sample goodness of fit measures.
Salvatory R. Kessy, Michael Sherris, Andrés M. Villegas, Jonathan Ziveyi   +3 more
openaire   +1 more source

Adaptively stacking ensembles for influenza forecasting

Statistics in Medicine, 2021
AbstractSeasonal influenza infects between 10 and 50 million people in the United States every year. Accurate forecasts of influenza and influenza‐like illness (ILI) have been named by the CDC as an important tool to fight the damaging effects of these epidemics.
Thomas McAndrew, Nicholas G. Reich
openaire   +3 more sources

Reduced ensemble size stacking [ensemble learning]

16th IEEE International Conference on Tools with Artificial Intelligence, 2005
We investigate an algorithmic extension to the technique of stacked regression that prunes the size of a homogeneous ensemble set based on a consideration of the accuracy and diversity of the set members. We show that the pruned ensemble set is as accurate on average over the data-sets tested as the nonpruned version, which provides benefits in terms ...
N. Rooney, D. Patterson, C. Nugent
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Deep Stacked Ensemble Recommender

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019
Collaborative filtering techniques remain a staple in recommender systems research and applications. With the plethora of research done in recommender systems, some more recent works applied deep learning with great success. We stack a deep neural network recommender onto a shallow one for item recommendations in this work. Our experiments with popular
Rasaq Otunba, Raimi A. Rufai, Jessica Lin   +2 more
openaire   +1 more source