I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01886-y
Abstract: Network-based Intrusion Detection Systems (NIDSs) identify malicious activities by analyzing network traffic. NIDSs are trained with the samples of benign and intrusive network traffic. Training samples belong to either majority or minority classes depending upon… read more here.
Keywords: minority; network; class; level ... See more keywords
Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01773-x
Abstract: Morphologies of red blood cells are normally interpreted by a pathologist. It is time-consuming and laborious. Furthermore, a misclassified red blood cell morphology will lead to false disease diagnosis and improper treatment. Thus, a decent… read more here.
Keywords: red blood; class imbalance; blood; problem ... See more keywords
Least squares support vector machine for class imbalance learning and their applications to fault detection of aircraft engine
Sign Up to like & getrecommendations! Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2018.08.042
Abstract: Abstract Imbalanced problems often occur when the size of majority class is bigger than that of the minority one. The Least squares support vector machine (LSSVM) is an effective method for solving classification problem on… read more here.
Keywords: imbalance learning; aircraft engine; class; class imbalance ... See more keywords
Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103957
Abstract: In the last decade, the widespread adoption of electronic health record documentation has created huge opportunities for information mining. Natural language processing (NLP) techniques using machine and deep learning are becoming increasingly widespread for information… read more here.
Keywords: cancer types; pathology; class imbalance; cancer ... See more keywords
A novel class imbalance-robust network for bearing fault diagnosis utilizing raw vibration signals
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107567
Abstract: Abstract Recently, although vast intelligent fault diagnosis methods are proposed, their validities are mostly confirmed via balanced datasets, which cannot always hold for the class-imbalance problem prevails among datasets in real-world applications. Hence, a class… read more here.
Keywords: imbalance; class imbalance; fault diagnosis;
Learning in the presence of class imbalance and concept drift
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.080
Abstract: Accepted papers will be published in our Workshop proceeding. The authors will be invited to submit an extended version to the special issue published in Neurocomputing or Connection Science (confirmed). With the wide application of… read more here.
Keywords: concept drift; imbalance concept; class imbalance;
A new machine learning ensemble model for class imbalance problem of screening enhanced oil recovery methods
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2020.108214
Abstract: Abstract Enhanced Oil Recovery (EOR) methods have received a lot of attention today due to the increase in global oil demand and the reduction of oil production capacity from natural extraction methods. EOR methods are… read more here.
Keywords: eor methods; model; class imbalance; problem ... See more keywords
Learning from data streams and class imbalance
Sign Up to like & getrecommendations! Published in 2019 at "Connection Science"
DOI: 10.1080/09540091.2019.1572975
Abstract: With the wide application of machine learning algorithms to the real world, class imbalanceandconceptdrift havebecomecrucial learning issues. Applications in variousdomains such as riskmanagement, anomaly detection, fraud detection, software engineering, social media mining, and recommender systems… read more here.
Keywords: concept drift; data streams; class; class imbalance ... See more keywords
An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2817572
Abstract: Software systems are now ubiquitous and are used every day for automation purposes in personal and enterprise applications; they are also essential to many safety-critical and mission-critical systems, e.g., air traffic control systems, autonomous cars,… read more here.
Keywords: defect prediction; faulty components; model; class imbalance ... See more keywords
Online Active Learning Paired Ensemble for Concept Drift and Class Imbalance
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DOI: 10.1109/access.2018.2882872
Abstract: Practical applications often require learning algorithms capable of addressing data streams with concept drift and class imbalance. This paper proposes an online active learning paired ensemble for drifting streams with class imbalance. The paired ensemble… read more here.
Keywords: imbalance; strategy; concept drift; class imbalance ... See more keywords
A Classification Model For Class Imbalance Dataset Using Genetic Programming
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2915611
Abstract: Since the last few decades, a class imbalance has been one of the most challenging problems in various fields, such as data mining and machine learning. The particular state of an imbalanced dataset, where each… read more here.
Keywords: class imbalance; problem; dataset; class ... See more keywords