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Items where Author is "Arafat, MY"
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Number of items: 3.
Article
Arafat, MY, Hoque, S, Xu, S 
ORCID: 0000-0003-0597-7040 and Farid, DM 2019
, 'Machine learning for mining imbalanced data'
, IAENG International Journal of Computer Science, vol. 46, no. 2
, pp. 332-348
.
ORCID: 0000-0003-0597-7040 and Farid, DM 2019
, 'Machine learning for mining imbalanced data'
, IAENG International Journal of Computer Science, vol. 46, no. 2
, pp. 332-348
.
Conference Publication
Arafat, MY, Hoque, S, Xu, S ORCID: 0000-0003-0597-7040 and Farid, DM 2019
, 'An under-sampling method with support vectors in multi-class imbalanced data classification', in
Proceedings of the 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2019)
, Institute of Electrical and Electronics Engineers, United States, pp. 1-6
, doi: https://doi.org/10.1109/SKIMA47702.2019.8982391.
ORCID: 0000-0003-0597-7040 and Farid, DM 2019
, 'An under-sampling method with support vectors in multi-class imbalanced data classification', in
Proceedings of the 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2019)
, Institute of Electrical and Electronics Engineers, United States, pp. 1-6
, doi: https://doi.org/10.1109/SKIMA47702.2019.8982391.
Arafat, MY, Hoque, S, Xu, S ORCID: 0000-0003-0597-7040 and Farid, DM 2019
, 'An under-sampling method with support vectors in multi-class imbalanced data classification', in
Proceedings of the 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2019)
, Institute of Electrical and Electronics Engineers, United States, pp. 1-6
, doi: https://doi.org/10.1109/SKIMA47702.2019.8982391.
ORCID: 0000-0003-0597-7040 and Farid, DM 2019
, 'An under-sampling method with support vectors in multi-class imbalanced data classification', in
Proceedings of the 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2019)
, Institute of Electrical and Electronics Engineers, United States, pp. 1-6
, doi: https://doi.org/10.1109/SKIMA47702.2019.8982391.