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Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values
(Springer, Cham, 2017)
Problems with incomplete data and missing values are common and important in real-world machine learning scenarios, yet often underrepresented in the research field. Particularly data related to healthcare tends to feature ...
Android Malware Detection: Building Useful Representations
(IEEE, 2017)
The problem of proactively detecting Android Malware has proven to be a challenging one. The challenges stem from a variety of issues, but recent literature has shown that this task is hard to solve with high accuracy when ...