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Ensemble methods

Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs

Mohammad Hadi Mehdizavareh, Sobhan Hemati, Hamid Soltanian-Zadeh

Glaucoma classification based on scanning laser ophthalmoscopic images using a deep learning ensemble method

Dominika Sułot, David Alonso-Caneiro, [ ... ], D. Robert Iskander

Predicting essential proteins by integrating orthology, gene expressions, and PPI networks

Xue Zhang, Wangxin Xiao, Xihao Hu

Enhancing web search result clustering model based on multiview multirepresentation consensus cluster ensemble (mmcc) approach

Ali Sabah, Sabrina Tiun, [ ... ], Adil Yaseen Taha

A Fast Alignment-Free Approach for De Novo Detection of Protein Conserved Regions

Armen Abnousi, Shira L. Broschat, Ananth Kalyanaraman

Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling

Patricia Gilholm, Kerrie Mengersen, Helen Thompson

A two level learning model for authorship authentication

Ahmed Taha, Heba M. Khalil, Tarek El-shishtawy

clusterBMA: Bayesian model averaging for clustering

Owen Forbes, Edgar Santos-Fernandez, [ ... ], Kerrie Mengersen

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

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

A random subspace ensemble classification model for discrimination of power quality events in solar PV microgrid power network

Arangarajan Vinayagam, Mohammad Lutfi Othman, [ ... ], Noor Izzri Abdul Wahab

RRMSE-enhanced weighted voting regressor for improved ensemble regression

Shikun Chen, Wenlong Zheng

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

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

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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