Search Results - "Bootstrap aggregation (Algorithms)"

Hierarchical Ensemble Learning for Automatic Classification of Construction Work Codes.

Authors: Yun, Yeong-Chae Yun, Seok-Heon

Source: Technical Journal / Tehnički Glasnik; Jun2026, Vol. 20 Issue 2, p233-239, 7p

Federated Learning Method Based on Data Distribution Heterogeneity Grading and Marginal Contribution Calculation.

Authors: Liu, Jianhua Zhang, Weiqing Zeng, Yanglin et al.

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2413, 15p

Estimation of the pan evaporation coefficient in semi-arid climate conditions via machines learning models.

Authors: Achite, Mohammed Katipoğlu, Okan Mert Vishwakarma, Dinesh Kumar et al.

Source: Applied Water Science. Feb2026, Vol. 16 Issue 2, p1-21. 21p.

강인한 연합 적대적 학습 서베이: 확장된 위협 모델, 설계 관점, 평가 지침. (Korean)

Authors: 이 수 철^1,2,3,4, sclee@ut.ac.kr

Source: Journal of Internet Computing & Services; Feb2026, Vol. 27 Issue 1, p67-78, 12p

Enhancing imbalanced text classification: an overlap-based refinement approach.

Authors: Nouas, Sihem Oukid, Lamia Boumahdi, Fatima

Source: Data Science & Management. Dec2025, Vol. 8 Issue 4, p474-484. 11p.

To Bag is to Prune.

Authors: Goulet Coulombe, Philippe¹ (AUTHOR) p.gouletcoulombe@gmail.com

Source: Studies in Nonlinear Dynamics & Econometrics. Nov2025, Vol. 29 Issue 6, p669-697. 29p.

Correction: Estimation of the pan evaporation coefficient in semi-arid climate conditions via machines learning models.

Authors: Achite, Mohammed Katipoğlu, Okan Mert Vishwakarma, Dinesh Kumar et al.

Source: Applied Water Science. Apr2026, Vol. 16 Issue 4, p1-3. 3p.

Node Classification of Imbalanced Data Using Ensemble Graph Neural Networks.

Authors: Liang, Yuan^1,2

Source: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10440, 18p

Comparative analysis of algorithmic approaches in ensemble learning: bagging vs. boosting.

Authors: Zhao, Hongke Liu, Wenhui Wang, Yaxian et al.

Source: Scientific Reports. 10/1/2025, Vol. 15 Issue 1, p1-12. 12p.

Enhanced Bagging‐Based Approach for Forecasting Nonstationary Time Series: Bridging Nonstationarity With a Scaled Logit Transformation.

Authors: Jeon, Young Eun Kim, Yongku Seo, Jung‐In

Source: Journal of Forecasting. Aug2026, Vol. 45 Issue 5, p2300-2308. 9p.

Refined analytical frameworks for enhancing friction angle prediction in fiber-reinforced soil through advanced computational methodologies.

Authors: Xin, Yu¹, xinyu_cf1005@126.com

Source: Journal of Engineering & Applied Science; 7/1/2026, Vol. 73 Issue 1, p1-20, 20p

Comparative analysis of bagging implementation in time series procession.

Authors: Petrusevich, D.¹ (AUTHOR) petrdenis@mail.ru

Source: AIP Conference Proceedings. 2026, Vol. 3390 Issue 1, p1-5. 5p.

Comparison of Approaches to Implementing Bagging in Time Series Modelling.

Authors: Beletskaya, N. V. Petrusevich, D. A. Savelev, M. E.

Source: Journal of Communications Technology & Electronics; Apr2025, Vol. 70 Issue 4, p148-159, 12p

Improved V-detector algorithm based on bagging for earthquake prediction with faults.

Authors: Peng, Lu Liang, Yiwen Yang, He

Source: Journal of Supercomputing. Nov2024, Vol. 80 Issue 16, p24605-24637. 33p.

Subjects: Bootstrap aggregation (Algorithms), Earthquake magnitude, Fault zones, Machine learning, Research personnel

Optimal Distributed Generation Placement and Real-Time Load Forecasting Using Machine Learning for Voltage Stability Enhancement.

Authors: Reddy, V. Suryanarayana Kumar, Busireddy Hemanth

Source: Journal of Circuits, Systems & Computers; 9/15/2026, Vol. 35 Issue 15, p1-29, 29p

MIPART: A Partial Decision Tree-Based Method for Multiple-Instance Classification.

Authors: Balbal, Kadriye Filiz¹, kadriyefiliz.balbal@deu.edu.tr

Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 24, p11696, 21p

Assessing the predictive performance of the Bagging algorithm for genomic selection.

Authors: Ghafouri-Kesbi, Farhad¹ f.ghafouri@basu.ac.ir

Source: Journal of Livestock Science & Technologies (JLST). Dec2024, Vol. 12 Issue 2, p53-59. 7p.

Hybridizing Intelligence: A Comparative Study of Machine Learning Algorithm and ANN-PSO Deep Learning Model for Software Effort Estimation.

Authors: Chawla, Meenakshi Pareek, Meenakshi

Source: International Journal of Performability Engineering; Nov2024, Vol. 20 Issue 11, p668-675, 8p

Adaptive multi-time scale integration of the high-speed train fault samples.

Authors: Liu, Suyan Wu, Chenxu Ma, Zengqiang et al.

Source: Journal of Mechanical Science & Technology. Oct2024, Vol. 38 Issue 10, p5229-5240. 12p.

Subjects: Bootstrap aggregation (Algorithms), Particle swarm optimization, High speed trains, Prediction models, Data integration

Comparative analysis of ensemble learning algorithms in enhanced confidence-based assessments.

Authors: Nor Azharludin, Nur Maisarah Abu Samah, Khyrina Airin Fariza Dzulkalnine, Mohamad Faiz et al.

Source: Bulletin of Electrical Engineering & Informatics; Apr2026, Vol. 15 Issue 2, p1337-1346, 10p