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Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection.

, and . FUZZ-IEEE, page 1-6. IEEE, (2019)

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Phishing Attack Detection: An Improved Performance Through Ensemble Learning., , , , and . ICAISC (2), volume 14126 of Lecture Notes in Computer Science, page 145-157. Springer, (2023)Focal Loss Improves Performance of High-Sensitivity C-Reactive Protein Imbalanced Classification., and . CBMS, page 114-118. IEEE, (2022)Some (Non-)universal features of Web robot traffic., and . CISS, page 1-6. IEEE, (2018)A first look at references from the dark to the surface web world: a case study in Tor., and . Int. J. Inf. Sec., 21 (4): 739-755 (2022)Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use., , , , , , , and . Sensors, 20 (17): 4833 (2020)A Broad Evaluation of the Tor English Content Ecosystem., , , and . WebSci, page 333-342. ACM, (2019)Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection., and . FUZZ-IEEE, page 1-6. IEEE, (2019)Interaction of Structure and Information on Tor., , , and . COMPLEX NETWORKS (1), volume 943 of Studies in Computational Intelligence, page 296-307. Springer, (2020)Deep Neural Classification of Darknet Traffic., , , , and . CCIA, volume 356 of Frontiers in Artificial Intelligence and Applications, page 105-114. IOS Press, (2022)