‪Bodrunnessa Badhon‬ - ‪Google Scholar‬

Crea il mio profilo

Citata da

	Tutte	Dal 2019
Citazioni	63	63
Indice H	2	2
i10-index	2	2

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202020212022202320246 9 22 19 7

Coautori

Dr. Mir Md. Jahangir KabirLecturer, University of Technology Sydney, AustraliaEmail verificata su uts.edu.au
Shuxiang XuSchool of Information and Communication Technology, University of TasmaniaEmail verificata su utas.edu.au
Monika KabirMurdoch University, AustraliaEmail verificata su student.murdoch.edu.au

Bodrunnessa Badhon

Bodrunnessa Badhon

PhD Candidate, UNSW, Canberra

Email verificata su adfa.edu.au

Machine Learning Explainable Artificial Intelligence Optimization


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
An empirical research on sentiment analysis using machine learning approaches M Kabir, MMJ Kabir, S Xu, B Badhon International Journal of Computers and Applications 43 (10), 1011-1019, 2021	41	2021
A survey on association rule mining based on evolutionary algorithms B Badhon, MMJ Kabir, S Xu, M Kabir International Journal of Computers and Applications 43 (8), 775-785, 2021	22	2021
SQ-FMFO: A novel scalarized Multi-objective Q-learning approach for Fuzzy membership function optimization B Badhon, MMJ Kabir, MA Rahman, S Xu International Journal of Fuzzy Systems 25 (2), 633-646, 2023		2023
QUERY SHEET M Kabir, MMJ Kabir, S Xu, B Badhon		2019

Il sistema al momento non può eseguire l'operazione. Riprova più tardi.

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