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Ensemble methods

A layered stacking ensemble approach for missing data imputation

Muhammad Asif, Klairung Samart

The cost of ensembling: Is it always worth combining global retail forecasting models?

Marco Zanotti

Predicting student academic performance using TabPFN and SHAP: An interpretable machine learning approach

Qiang Yin

Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments

Tianfu Huang

Penalization method to convert Bayesian optimization methods into batch multi-objective Bayesian optimization methods

Adelle Holder, Henry DeBruin, Jesse M. Sestito

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability

Lawrence Fulton, Pin Lyu

Obscured-ensemble models for genomic prediction

Rounak Saha, Amir Morshedian, [ ... ], Mike Domaratzki

An ensemble-based 3D residual network for the classification of Alzheimer’s disease

Xiaoli Yang, Jiayi Zhou, [ ... ], Nuan Du

BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers

Tanzir Hossain, Ar-Rafi Islam, [ ... ], Jia Uddin

A Mallows-like criterion for anomaly detection with random forest implementation

GaoXiang Zhao, Lu Wang, Xiaoqiang Wang

Chi² weighted ensemble: A multi-layer ensemble approach for skin lesion classification using a novel framework - optimized RegNet synergy with Attention-Triplet

Anwar Hossain Efat

RRMSE-enhanced weighted voting regressor for improved ensemble regression

Shikun Chen, Wenlong Zheng

Non-destructive test-based assessment of uniaxial compressive strength and elasticity modulus of intact carbonate rocks using stacking ensemble models

Davood Fereidooni, Zohre Karimi, Fatemeh Ghasemi

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