表紙画像

A neighbourhood undersampling stacked ensemble with H-measure maximising meta-learner for imbalanced classification / Seng Zian

Stacked ensemble formulates an ensemble using a meta-learner to combine (stack) the predictions of multiple base classifiers. It suffers from the problem of suboptimal performance in imbalanced classification. Several underlying difficulty factors are reported to be responsible for performance de...

保存先:

書誌詳細
第一著者:	Seng , Zian
フォーマット:	学位論文
出版事項:	2021
主題:	QA75 Electronic computers. Computer science T Technology (General)
オンライン･アクセス:	http://studentsrepo.um.edu.my/14776/1/Seng_Zian.pdf http://studentsrepo.um.edu.my/14776/2/Seng_Zian.pdf http://studentsrepo.um.edu.my/14776/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

類似資料

A neighborhood undersampling stacked ensemble (NUS-SE) in imbalanced classification
著者:: Seng, Zian, 等
出版事項: (2021)

An empirical evaluation of stacked ensembles with different meta-learners in imbalanced classification
著者:: Zian, Seng, 等
出版事項: (2021)

Fuzzy distance-based undersampling technique for imbalanced flood data
著者:: Ku-Mahamud, Ku Ruhana, 等
出版事項: (2016)

Ensemble classifier and resampling for imbalanced multiclass learning
著者:: Sainin, Mohd Shamrie, 等
出版事項: (2015)

A conceptual model of enhanced undersampling technique
著者:: Zorkeflee, Maisarah, 等
出版事項: (2014)

A direct ensemble classifier for imbalanced multiclass learning
著者:: Sainin, Mohd Shamrie, 等
出版事項: (2012)

A direct ensemble classifier for learning imbalanced multiclass data
著者:: Samry @ Mohd Shamrie Sainin
出版事項: (2013)

FURIA stacking ensemble for ASD classification
著者:: Ainie Hayati, Noruzman, 等
出版事項: (2022)

Development of bright and dark pulsed fiber laser based on nonlinear polarization rotation / Tiu Zian Cheak
著者:: Tiu, Zian Cheak
出版事項: (2015)

Sistem kerjaya / Tay Kim Seng
著者:: Tay, Kim Seng
出版事項: (2003)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning*
著者:: Muslim, Much Aziz, 等
出版事項: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
著者:: Muslim, Much Aziz, 等
出版事項: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
著者:: Muslim, Much Aziz, 等
出版事項: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
著者:: Muslim, Much Aziz, 等
出版事項: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning*
著者:: Muslim, Much Aziz, 等
出版事項: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
著者:: Muslim, Much Aziz, 等
出版事項: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning*
著者:: Much Aziz Muslim, Much Aziz Muslim, 等
出版事項: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning*
著者:: Muslim, Much Aziz, 等
出版事項: (2023)

Income Tax Preparation System / Ku Seng Lip
著者:: Ku, Seng Lip
出版事項: (2001)

Electronic Library System (ELS) / Loh Wei Seng
著者:: Loh , Wei Seng
出版事項: (2000)

Ensemble Meta Classifier with Sampling and Feature Selection for Data with Multiclass Imbalance Problem
著者:: Sainin, Mohd Shamrie, 等
出版事項: (2021)

Learning styles useful in improving students' learning / Mak Kem Seng
著者:: Mak, Kem Seng
出版事項: (2002)

Enhanced Heterogeneous Stacked Ensemble Machine Learning Model For Detecting Nigerian Politically Motivated Cyberhate
著者:: Sallau, Mullah Nanlir
出版事項: (2023)

Software e-inventory management system / Chew Kok Seng
著者:: Chew , Kok Seng
出版事項: (2003)

Traffic Information System Kuala Lumpur / Tay Tick Seng
著者:: Tay , Tick Seng
出版事項: (2003)

Stacking gels: A method for maximising output for pulsed-field gel electrophoresis
著者:: Heng, S.K., 等
出版事項: (2009)

Influence maximisation towards target users on social networks for information diffusion
著者:: Temitope, Olanrewaju Abdus-Samad, 等
出版事項: (2018)

Sentiment classification with concept drift and imbalanced class distributions
著者:: Jalilvand, A., 等
出版事項: (2016)

Fuzzy and smote resampling technique for imbalanced data sets
著者:: Zorkeflee, Maisarah, 等
出版事項: (2015)

Evaluation of machine learning techniques for imbalanced data in IDS
著者:: Mokaramian, Shahram
出版事項: (2013)

Classification of Qur’anic topics based on imbalanced classification
著者:: Arkok, Bassam, 等
出版事項: (2020)

Stacking Ensemble for Pill Image Classification
著者:: Ahammed F.A.A.B.S., 等
出版事項: (2025)

Web services for e-Procurement system in the context of supply chain management / Yap Khay Seng
著者:: Yap, Khay Seng
出版事項: (2007)

Testing the minimal bounded space method on vision-based drone navigation / Yap Seng Kuang
著者:: Yap , Seng Kuang
出版事項: (2021)

Random Undersampling on Imbalance Time Series Data for Anomaly Detection
著者:: Saripuddin M., 等
出版事項: (2023)

Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets
著者:: Amri, A’inur A’fifah, 等
出版事項: (2019)

Diagnosis of COVID-19 on chest X-ray (CXR) images using CNN with transfer learning and integrated stacking ensemble learning
著者:: Low, Wai Sing, 等
出版事項: (2024)

Learning with imbalanced datasets using fuzzy ARTMAP-based neural network models
著者:: Tan, S. C., 等
出版事項: (2011)

Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review
著者:: Siti Dianah, Abdul Bujang, 等
出版事項: (2023)

Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis
著者:: Jamaluddin, Ahmad Hakiim, 等
出版事項: (2021)