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Genetic Algorithm Based Over-Sampling with DNN in Classifying the Imbalanced Data Distribution Problem

• Authors : S Karthikeyan; T Kathirvalavakumar

Subjects: Genetic algorithm; Gauss weight initialization; SMOTE

• Source: Indian Journal of Science and Technology, 16(8), 547-556, (2023-02-27)

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Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest

• Authors : Muhammad Fazal Ijaz; Ganjar Alfian; Muhammad Syafrudin

Subjects: type 2 diabetes; hypertension; classification

• Source: Applied Sciences, Vol 8, Iss 8, p 1325 (2018)

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Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

• Authors : Jishan, Syed; Rashu, Raisul; Haque, Naheena

Subjects: ddc:330; Educational data mining (EDM); Classification

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Rapid detection of diabetic retinopathy in retinal images: a new approach using transfer learning and synthetic minority oversampling technique

• Authors : Hiri Mustaf; Chrayah Mohamed; Ourdani Nabil

Subjects: Classification; Deep learning; Diabetic retinopathy

• Source: International Journal of Electrical and Computer Engineering (IJECE), 14(1), (2024-02-01)

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Comparative Evaluation of Imbalanced Data Management Techniques for Solving Classification Problems on Imbalanced Datasets

• Authors : Watthaisong, Tanawan; Sunat, Khamron; Muangkote, Nipotepat

Subjects: Imbalanced data handling; Oversampling Technique; Machine Learning

• Source: Statistics, Optimization & Information Computing; Vol 12 No 2 (2024); 547-570 ; 2310-5070 ; 2311-004X

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Class Balancing Methods Comparison for Software Requirements Classification on Support Vector Machines

• Authors : Muhamad, Fachrul Pralienka Bani; Mulyani, Esti; Bunga, Munengsih Sari

Subjects: Class balancing; classification; random over sampling

• Source: Sinkron : jurnal dan penelitian teknik informatika; Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023; 1196-1208 ; 2541-2019 ; 2541-044X ; 10.33395/sinkron.v8i2

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A Novel Oversampling Method for Imbalanced Datasets Based on Density Peaks Clustering

• Authors : Jie Cao; Yong Shi

Subjects: classification; density peaks clustering; imbalanced datasets

• Source: Tehnički Vjesnik, Vol 28, Iss 6, Pp 1813-1819 (2021)

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COMPARATIVE ANALYSIS OF METHODS FOR IMBALANCE ELIMINATION OF EMOTION CLASSES IN VIDEO DATA OF FACIAL EXPRESSIONS

• Authors : Elena V. Ryumina; Alexey A. Karpov

Subjects: data class imbalance; under-sampling; over-sampling

• Source: Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 20, Iss 5, Pp 683-691 (2020)

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Hybrid Type-2 Diabetes Prediction Model Using SMOTE, K-means Clustering, PCA, and Logistic Regression

• Authors : Atul Kumar Ramotra; Vibhakar Mansotra

Subjects: Classification; Clustering; Data mining

• Source: Asian Pacific Journal of Health Sciences; Vol. 8 No. 3 (2021): Vol 8 | Issue 3 | July - September 2021; 137-140 ; 2349-0659 ; 2350-0964

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Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features

• Authors : Öztürk Ş.; Özkaya U.; Barstuğan M.

Subjects: classification; coronavirus; COVID-19

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