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A Machine Learning Based Approach to Detect Survival of Heart Failure Patients
(2020)
One of the diseases with high prevalence among the consequences of cardiovascular diseases is heart failure. Heart failure is a condition in which the muscles in the heart wall become faded and dilated, limiting the heart's ...
Integrating features for accelerometer-based activity recognition
(2016)
Activity recognition is the problem of predicting the current action of a person through the motion sensors worn on the body. The problem is usually approached as a supervised classification task where a discriminative ...
Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems
(2018)
With the improvements in information systems, intrusion detection systems (IDS) become more important. IDS can be thought as a classification problem. An important step of classification applications is feature selection ...