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Malware detection in edge devices with fuzzy oversampling and dynamic class weighting.

, , , , and . Appl. Soft Comput., (2021)

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Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer., , , , and . Expert Syst. Appl., 39 (16): 12371-12377 (2012)Mobile Malware Detection: An Analysis of Deep Learning Model., , , , and . ICIT, page 1161-1166. IEEE, (2019)Issues of Data Governance Associated with Data Mining in Medical Research: Experiences from an Empirical Study., , , and . Health Information Governance in a Digital Environment, volume 193 of Studies in Health Technology and Informatics, IOS Press, (2013)Computational intelligence for heart disease diagnosis: A medical knowledge driven approach., , , and . Expert Syst. Appl., 40 (1): 96-104 (2013)Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach., , , , and . CIT, page 89-95. IEEE Computer Society, (2016)Malware detection in edge devices with fuzzy oversampling and dynamic class weighting., , , , and . Appl. Soft Comput., (2021)z-SVM: An SVM for Improved Classification of Imbalanced Data., , and . Australian Conference on Artificial Intelligence, volume 4304 of Lecture Notes in Computer Science, page 264-273. Springer, (2006)Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions., , , , , , and . J. Biomed. Informatics, (August 2023)The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate., , and . ACSW, page 16:1-16:8. ACM, (2021)Linear Relationship between the aud/USD Exchange Rate and the Respective Stock Market Indices: a Computational Finance Perspective., , , and . Intell. Syst. Account. Finance Manag., 19 (1): 19-42 (2012)