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ORCIDNirase Fathima Abubacker
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2020 – today
- 2024
[j3]Saadat M. Alhashmi
, Md. Shohidul Islam Polash, Aminul Haque, Fazley Rabbe, Shazzad Hossen, Nuruzzaman Faruqui, Ibrahim Abaker Targio Hashem, Nirase Fathima Abubacker:
Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms. IEEE Access 12: 61978-61990 (2024)- 2022
- [j2]Nirase Fathima Abubacker, Azreen Azman, Shyamala Doraisamy, Masrah Azrifah Azmi Murad:
Breast cancer detection by using associative classifier with rule refinement method based on relevance feedback. Neural Comput. Appl. 34(19): 16897-16910 (2022)
2010 – 2019
- 2019
- [c5]Ather Aldwgeri, Nirase Fathima Abubacker:
Ensemble of Deep Convolutional Neural Network for Skin Lesion Classification in Dermoscopy Images. IVIC 2019: 214-226 - [c4]Latifah Abdullah Bin Turayki, Nirase Fathima Abubacker:
SUFID: Sliced and Unsliced Fruits Images Dataset. IVIC 2019: 237-244 - 2017
- [j1]Nirase Fathima Abubacker, Azreen Azman, Shyamala Doraisamy, Masrah Azrifah Azmi Murad:
An integrated method of associative classification and neuro-fuzzy approach for effective mammographic classification. Neural Comput. Appl. 28(12): 3967-3980 (2017) - 2016
- [c3]Nirase Fathima Abubacker, Azreen Azman, Masrah Azrifah Azmi Murad, Shyamala Doraisamy:
Adaptive Associative Classifier for Mammogram Classification. IntelliSys (1) 2016: 721-736 - 2014
- [c2]Nirase Fathima Abubacker, Azreen Azman, Shyamala Doraisamy, Masrah Azrifah Azmi Murad, Mohamed Eltahir Makki Elmanna, Rekha Saravanan:
Correlation-Based Feature Selection for Association Rule Mining in Semantic Annotation of Mammographic Medical Images. AIRS 2014: 482-493 - 2013
- [c1]Nirase Fathima Abubacker, Azreen Azman, Masrah Azrifah Azmi Murad, Shyamala C. Doraisamy:
An approach for an automatic fracture detection of skull dicom images based on neighboring pixels. ISDA 2013: 177-181
Coauthor Index
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