Obyektlarni sinflashtirishda xatoliklarni minimallashtirishga asoslangan baholarni hisoblash algoritmlari

He, H., & Garcia, E. A. (2009). "Learning from Imbalanced Data". IEEE Transactions on

Knowledge and Data Engineering.

Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). "SMOTE:

Synthetic Minority Over-sampling Technique". Journal of Artificial Intelligence Research.

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S.,

Courville, A., & Bengio, Y. (2014). "Generative Adversarial Nets". Advances in Neural

Information Processing Systems (NeurIPS).

Fernández, A., García, S., Herrera, F., & Chawla, N. V. (2018). "SMOTE for Learning

from Imbalanced Data: Progress and Challenges". Journal of Artificial Intelligence Review.

Liu, B., Ding, H., & Wang, Y. (2020). "Synthetic Data Augmentation for Medical

Diagnosis". IEEE Transactions on Biomedical Engineering.

J. Smith, “Medical Classification Systems,” Journal of AI in Medicine, 2020.

R. Brown, “Heuristic Algorithms in Diagnosis,” Medical Informatics Review, 2019.

Nishanov, A., Ruzibaev, O., Tran, N. (2016). Modification of decision rules 'ball Apolonia'

the problem of classification. 2016 International Conference on Information Science and

Communications Technologies (ICISCT). https://doi.org/10.1109/ICISCT.2016.7777382

Nishanov, A., Saidrasulov, Sh., Babadjanov, E. (2022). Analysis of Methodology of Rating

Evaluation of Digital Economy and E-Government Development in Uzbekistan. International

Journal of Early Childhood Special Education, 14(2), 2447–2452. https://doi.org/10.9756/INT-

JECSE/V14I2.230

Nishanov, A., Ruzibaev, O., Chedjou, J. C., Kyamakya, K., Abhiram, K., De Silva,

Djurayev, G., Khasanova, M. (2020). Algorithm for the selection of informative symptoms in the

classification of medical data. Developments of Artificial Intelligence Technologies in

Computation and Robotics, 12, 647–658. https://doi.org/10.1142/9789811223334_0078

Nishanov AKh, Turakulov AKh, Turakhanov KhV. Reshaiushchee pravilo dlia

klassifikatsii patologii zritel'noĭ sistemy [A decisive rule in classifying diseases of the visual

system]. Med Tekh. 1999 Jul-Aug;(4):16-8. Russian. PMID: 10464756.

Nishanov, A., Akbarova, M., Tursunov, A., Ollamberganov, F., & Rashidova, D. (2024).

Clustering algorithm based on object similarity. Journal of Mathematics, Mechanics and Computer

Science / Computer Science, 123(3), 108–120. https://doi.org/10.26577/JMMCS2024-v123-i3-4.