Binary classification is one of the most frequent studies in applied machine learning problems in various domains, from medicine to biology to meteorology to malware analysis. Many researchers use some performance metrics in their classification studies to report their success. However, the literature has shown a widespread confusion about the terminology and ignorance of the fundamental aspects behind metrics.
In our paper tittled "Binary Classification Performance…
ContinueAdded by Gürol Canbek on November 3, 2017 at 10:00am — 2 Comments
Our article "New Comprehensive Taxonomies on Mobile Security and Malware Analysis" has been published in International Journal of Information Security Science (IJISS). The poster below summarizes the article.
The three academic taxonomies (IEEE Taxonomy,…
ContinueAdded by Gürol Canbek on January 16, 2017 at 11:30pm — No Comments
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