152 related articles for article (PubMed ID: 36836607)
1. Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases.
Yoon T; Kang D
J Pers Med; 2023 Feb; 13(2):. PubMed ID: 36836607
[TBL] [Abstract][Full Text] [Related]
2. Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms.
Yoon T; Kang D
Sci Rep; 2023 Feb; 13(1):2937. PubMed ID: 36804469
[TBL] [Abstract][Full Text] [Related]
3. Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning.
Yang Y; Wei L; Hu Y; Wu Y; Hu L; Nie S
J Neurosci Methods; 2021 Feb; 350():109019. PubMed ID: 33321153
[TBL] [Abstract][Full Text] [Related]
4. Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.
Ahmad N; Wali B; Khattak AJ
J Safety Res; 2023 Feb; 84():418-434. PubMed ID: 36868672
[TBL] [Abstract][Full Text] [Related]
5. Stacking Ensemble Technique for Classifying Breast Cancer.
Kwon H; Park J; Lee Y
Healthc Inform Res; 2019 Oct; 25(4):283-288. PubMed ID: 31777671
[TBL] [Abstract][Full Text] [Related]
6. Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.
Younis EMG; Zaki SM; Kanjo E; Houssein EH
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957167
[TBL] [Abstract][Full Text] [Related]
7. Real-time milk analysis integrated with stacking ensemble learning as a tool for the daily prediction of cheese-making traits in Holstein cattle.
Mota LFM; Giannuzzi D; Bisutti V; Pegolo S; Trevisi E; Schiavon S; Gallo L; Fineboym D; Katz G; Cecchinato A
J Dairy Sci; 2022 May; 105(5):4237-4255. PubMed ID: 35282909
[TBL] [Abstract][Full Text] [Related]
8. A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.
Shakhovska N; Yakovyna V; Chopyak V
Math Biosci Eng; 2022 Apr; 19(6):6102-6123. PubMed ID: 35603393
[TBL] [Abstract][Full Text] [Related]
9. Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning.
AlMohimeed A; Saleh H; El-Rashidy N; Saad RMA; El-Sappagh S; Mostafa S
Diagnostics (Basel); 2023 Jun; 13(11):. PubMed ID: 37296820
[TBL] [Abstract][Full Text] [Related]
10. Non-destructive test-based assessment of uniaxial compressive strength and elasticity modulus of intact carbonate rocks using stacking ensemble models.
Fereidooni D; Karimi Z; Ghasemi F
PLoS One; 2024; 19(6):e0302944. PubMed ID: 38857272
[TBL] [Abstract][Full Text] [Related]
11. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
[TBL] [Abstract][Full Text] [Related]
12. Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting.
Bakasa W; Viriri S
Front Artif Intell; 2023; 6():1232640. PubMed ID: 37876961
[TBL] [Abstract][Full Text] [Related]
13. Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis.
Saleh H; Mostafa S; Alharbi A; El-Sappagh S; Alkhalifah T
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632116
[TBL] [Abstract][Full Text] [Related]
14. Exploiting ensemble learning to improve prediction of phospholipidosis inducing potential.
Nath A; Sahu GK
J Theor Biol; 2019 Oct; 479():37-47. PubMed ID: 31310757
[TBL] [Abstract][Full Text] [Related]
15. Stacking Ensemble Method for Gestational Diabetes Mellitus Prediction in Chinese Pregnant Women: A Prospective Cohort Study.
Liu R; Zhan Y; Liu X; Zhang Y; Gui L; Qu Y; Nan H; Jiang Y
J Healthc Eng; 2022; 2022():8948082. PubMed ID: 36147870
[TBL] [Abstract][Full Text] [Related]
16. Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA.
Dang L; Li J; Bai X; Liu M; Li N; Ren K; Cao J; Du Q; Sun J
Diagnostics (Basel); 2023 Jan; 13(3):. PubMed ID: 36766500
[TBL] [Abstract][Full Text] [Related]
17. A hybrid super ensemble learning model for the early-stage prediction of diabetes risk.
Doğru A; Buyrukoğlu S; Arı M
Med Biol Eng Comput; 2023 Mar; 61(3):785-797. PubMed ID: 36602674
[TBL] [Abstract][Full Text] [Related]
18. Hyperspectral technique combined with stacking and blending ensemble learning method for detection of cadmium content in oilseed rape leaves.
Cheng J; Sun J; Yao K; Xu M; Wang S; Fu L
J Sci Food Agric; 2023 Mar; 103(5):2690-2699. PubMed ID: 36479694
[TBL] [Abstract][Full Text] [Related]
19. An R package for ensemble learning stacking.
Nukui T; Onogi A
Bioinform Adv; 2023; 3(1):vbad139. PubMed ID: 37818175
[TBL] [Abstract][Full Text] [Related]
20. LIME-based ensemble machine for predicting performance status of patients with liver cancer.
Nguyen HV; Byeon H
Digit Health; 2023; 9():20552076231211636. PubMed ID: 38025102
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]