Results 21 to 30 of about 3,838 (180)
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets [PDF]
, 2012 Many traditional approaches to pattern classifi- cation assume that the problem classes share similar prior probabilities. However, in many real-life applications, this assumption is grossly violated.
García Jiménez, Vicente +3 more
core +1 more source
Research on hybrid intrusion detection method based on the ADASYN and ID3 algorithms
Mathematical Biosciences and Engineering, 2021 <abstract> <p>Intrusion detection system plays an important role in network security. Early detection of the potential attacks can prevent the further network intrusion from adversaries. To improve the effectiveness of the intrusion detection rate, this paper proposes a hybrid intrusion detection method that utilizes ADASYN (Adaptive ...
Yue Li +4 more
openaire +3 more sources
Hellinger Distance Trees for Imbalanced Streams [PDF]
, 2014 Classifiers trained on data sets possessing an imbalanced class distribution are known to exhibit poor generalisation performance. This is known as the imbalanced learning problem.
Brooke, J. M. +3 more
core +2 more sources
An Efficient SMOTE-Based Deep Learning Model for Voice Pathology Detection
Applied Sciences, 2023 The Saarbruecken Voice Database (SVD) is a public database used by voice pathology detection systems. However, the distributions of the pathological and normal voice samples show a clear class imbalance.
Ji-Na Lee, Ji-Yeoun Lee
doaj +1 more source
Journal of Applied Informatics and ComputingMetabolic Syndrome is a collection of medical conditions that can increase the risk of stroke, cardiovascular disease, and type 2 diabetes. Early detection of this condition requires a machine learning model capable of accurate classification to support ...
Lutfiana Deka Nurhayati, Majid Rahardi
doaj +1 more source
Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection [PDF]
, 2017 Breast cancer is the most prevalent cancer that affects women all over the world. Early detection and treatment of breast cancer could decline the mortality rate. Some issues such as technical reasons, which related to imaging quality and human error,
Jalalian, Afsaneh +5 more
core +1 more source
International Journal of Web ResearchSecuring computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). While machine learning techniques are commonly used for anomaly-based intrusion detection, data imbalance challenges conventional ...
Nasiru Ige Salihu +2 more
doaj +1 more source
Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)This research aims to analyze the impact of the Adaptive Synthetic (ADASYN) oversampling technique on the performance of the Naïve Bayes classification algorithm on datasets with class imbalance.
Muhammad Khahfi Zuhanda +4 more
doaj +1 more source
Heartbeat Anomaly Detection using Adversarial Oversampling
, 2019 Cardiovascular diseases are one of the most common causes of death in the world. Prevention, knowledge of previous cases in the family, and early detection is the best strategy to reduce this fact.
Lima, Jefferson L. P. +2 more
core +1 more source
Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance [PDF]
, 2017 This paper proposes a novel multi-objective optimisation approach to solving both the problem of finding good structural and parametric choices in an ANN and the problem of training a classifier with a heavily skewed data set.
Rostami, Shahin, Shenfield, A.
core +1 more source