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Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches.

E. Mbunge, M. Sibiya, S. Takavarasha, R. Millham, G. Chemhaka, B. Muchemwa, and T. Dzinamarira. ICTAS, page 1-6. IEEE, (2023)

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Elliot Smith

Elliot Hildner

Elliot Fairweather

Elliot A Hayden

Bruce Elliot Donahue

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Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches.E. Mbunge, M. Sibiya, S. Takavarasha, R. Millham, G. Chemhaka, B. Muchemwa, and T. Dzinamarira. ICTAS, page 1-6. IEEE, (2023)Application of machine learning models to predict malaria using malaria cases and environmental risk factors.E. Mbunge, R. Millham, M. Sibiya, and S. Takavarasha. ICTAS, page 1-5. IEEE, (2022)Application of machine learning techniques for predicting child mortality and identifying associated risk factors.E. Mbunge, S. Fashoto, B. Muchemwa, R. Millham, G. Chemhaka, M. Sibiya, T. Dzinamarira, and J. Buwerimwe. ICTAS, page 1-5. IEEE, (2023)A SWOT Analysis of Software Requirement Validation Techniques.B. Akinnuwesi, S. Fashoto, E. Mbunge, P. Mashwama, and P. Owate. Int. J. Softw. Innov., 10 (1): 1-24 (2022)Financial inclusion dataset classification in Eswatini using support vector machine and logistic regression.S. Fashoto, B. Akinnuwesi, E. Mbunge, and A. Metfula. Int. J. Bus. Inf. Syst., 43 (4): 507-527 (2023)A review of deep learning models to detect malware in Android applications.E. Mbunge, B. Muchemwa, J. Batani, and N. Mbuyisa. Cyber Secur. Appl., (December 2023)Towards Artificial Intelligence-Driven Marketing: An Adoption Framework for Lesotho.J. Batani, M. Mothabeng, and E. Mbunge. ICTAS, page 12-19. IEEE, (2024)m-health framework for improving malaria information dissemination in Buhera rural district amid COVID-19 and beyond.E. Mbunge, M. Sibiya, R. Millham, and S. Takavarasha. ICTAS, page 59-66. IEEE, (2021)Micro-spatial modelling of malaria cases and environmental risk factors in Buhera rural district, Zimbabwe.E. Mbunge, M. Sibiya, R. Millham, and S. Takavarasha. ICTAS, page 52-58. IEEE, (2021)Machine Learning Models for Identifying Factors Influencing and Predicting Malaria Among Children Under Five Years in Nigeria.A. Faremi, B. Akinnuwesi, E. Mbunge, P. Mashwama, S. Fashoto, Z. Ncube, J. Batani, S. Sanni, Y. Faremi, and A. Metfula. ICTAS, page 88-94. IEEE, (2024)

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Disambiguation of "Mbunge, Elliot"

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Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches.

Please choose a person to relate this publication to

Elliot Smith

Elliot Hildner

Elliot Fairweather

Elliot A Hayden

Bruce Elliot Donahue

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mbunge, Elliot"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches.

Please choose a person to relate this publication to

Elliot Smith

Elliot Hildner

Elliot Fairweather

Elliot A Hayden

Bruce Elliot Donahue

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches.