An intra-class distribution-focused generative adversarial network approach for imbalanced tabular data learning
Q Chen, A Ye, Y Zhang, J Chen, C Huang - International Journal of …, 2024 - Springer
Data imbalance is a critical factor that adversely affects the performance of machine learning
algorithms. It leads to deviations in decision boundaries, resulting in biased predictions …
algorithms. It leads to deviations in decision boundaries, resulting in biased predictions …
Dengesiz Veri Kümelerinde İnme Tahmini İçin Özel Seçilimli Hibrit Dengeleme Yöntemi Tasarımı ve Uygulaması
Ş Çelikbaş, Z Orman, T Aksoy… - Düzce Üniversitesi Bilim …, 2024 - dergipark.org.tr
İnme, beyinde kanama ya da tıkanma sonucu oluşan nörolojik bir hastalıktır ve dünya
genelinde giderek yaygınlaşmaktadır. Doğrudan ölümlere sebep olabildiği gibi sakatlıklara …
genelinde giderek yaygınlaşmaktadır. Doğrudan ölümlere sebep olabildiği gibi sakatlıklara …
Design and Development of a Hybrid Evolutionary Method with a Special Selection Artificial Immune System for Stroke Prediction: A Balancing Approach
Ş ÇELİKBAŞ, Z Orman… - Authorea …, 2024 - advance.sagepub.com
Stroke is a high-risk neurological condition caused by blockages or bleeding in the brain,
leading to death or disability. This study proposes a model to address the imbalance in …
leading to death or disability. This study proposes a model to address the imbalance in …
[PDF][PDF] Impact of Climate Change on Fish Species Classification Using Machine Learning and Deep Learning Algorithms
In response to the challenges posed by climate change and the need for sustainable food
supply, this study addresses the problem of efficiently categorizing and predicting the weight …
supply, this study addresses the problem of efficiently categorizing and predicting the weight …