Results 111 to 120 of about 65,886 (196)

Stacking ensemble model for predicting chronic kidney disease in the Uddanam region of India with unknown etiology. [PDF]

Sci Rep
Salakapuri R, Terlapu PV, Kalidindi KR, Rao KE, Yegireddi R, Prasan UD.   +5 more
europepmc   +1 more source

Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning. [PDF]

Front Physiol
Zheng Y, Qin J, Lv F, Li X, Guo X.
europepmc   +1 more source

Highly efficient stacking ensemble learning model for automated keratoconus screening. [PDF]

Eye Vis (Lond)
Muhsin ZJ, Qahwaji R, Ghafir I, AlShawabkeh M, Al Bdour M, AlRyalat SA, Al-Taee M.   +6 more
europepmc   +1 more source

Identifying co-occurrences of message chains and member ignoring method in android applications using static program analysis and dynamic stacking ensemble. [PDF]

Sci Rep
Ma Z, Bian Y, Chen W, Huang L.
europepmc   +1 more source

Sorghum yield prediction using UAV multispectral imaging and stacking ensemble learning in arid regions. [PDF]

Front Plant Sci
Deng L, Li Y, Liu X, Zhang Z, Mu J, Jia S, Yan Y, Zhang W.   +7 more
europepmc   +1 more source

Data-Driven Optimization and Mechanical Assessment of Perovskite Solar Cells via Stacking Ensemble and SHAP Interpretability. [PDF]

Materials (Basel)
Tian R, Calderon AD, Fang Q, Liu X.
europepmc   +1 more source

A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer. [PDF]

Radiat Oncol
Wang B, Liu J, Zhang X, Lin J, Li S, Wang Z, Cao Z, Wen D, Liu T, Ramli HRH, Harith HH, Hasan WZW, Dong X.   +12 more
europepmc   +1 more source

Intratumoral heterogeneity score enhances invasiveness prediction in pulmonary ground-glass nodules via stacking ensemble machine learning. [PDF]

Insights Imaging
Zuo Z, Zeng Y, Deng J, Lin S, Qi W, Fan X, Feng Y.   +6 more
europepmc   +1 more source

Biochar-Augmented Anaerobic Digestion System: Insights from an Interpretable Stacking Ensemble Deep Learning. [PDF]

Environ Sci Technol
Khan M, Surendra KC, Baniya S, Rhymer JH, Khanal SK.   +4 more
europepmc   +1 more source

Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach. [PDF]

Sci Rep
Yu F, Chu W, Zhang R, Gao Z, Yang Y.
europepmc   +1 more source