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of 36
pro vyhledávání: '"Newaz, Asif"'
Class imbalance in data presents significant challenges for classification tasks. It is fairly common and requires careful handling to obtain desirable performance. Traditional classification algorithms become biased toward the majority class. One wa
Externí odkaz:
http://arxiv.org/abs/2409.13007
Class imbalance poses a major challenge in different classification tasks, which is a frequently occurring scenario in many real-world applications. Data resampling is considered to be the standard approach to address this issue. The goal of the tech
Externí odkaz:
http://arxiv.org/abs/2403.09867
Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' privacy. Attackers are constantly devising new methods of launching such
Externí odkaz:
http://arxiv.org/abs/2403.09735
Ovarian cancer (OC) is one of the most prevalent types of cancer in women. Early and accurate diagnosis is crucial for the survival of the patients. However, the majority of women are diagnosed in advanced stages due to the lack of effective biomarke
Externí odkaz:
http://arxiv.org/abs/2312.08381
Alzheimer's disease (AD) is the most common long-term illness in elderly people. In recent years, deep learning has become popular in the area of medical imaging and has had a lot of success there. It has become the most effective way to look at medi
Externí odkaz:
http://arxiv.org/abs/2310.08888
An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification
Learning from imbalanced data is a challenging task. Standard classification algorithms tend to perform poorly when trained on imbalanced data. Some special strategies need to be adopted, either by modifying the data distribution or by redesigning th
Externí odkaz:
http://arxiv.org/abs/2208.11852
Autor:
Newaz, Asif, Haq, Farhan Shahriyar
Class imbalance is a frequently occurring scenario in classification tasks. Learning from imbalanced data poses a major challenge, which has instigated a lot of research in this area. Data preprocessing using sampling techniques is a standard approac
Externí odkaz:
http://arxiv.org/abs/2208.09619
Publikováno v:
In Informatics in Medicine Unlocked 2024 49
Publikováno v:
In Informatics in Medicine Unlocked 2023 42
Publikováno v:
In Knowledge-Based Systems 7 June 2022 245