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Class imbalance is a significant challenge that practitioners in the field of bioinformatics are faced with on a daily basis. It is a phenomenon that occurs when number of instances of one class is much greater than number of instances of the other class(es) and it has adverse effects on the performance of classification models built on this skewed data. Random Forest as a robust classifier has been...
In this work, we present results produced from a nonlinear QSAR model developed and implemented using evolutionary computation and Random Forest Regression to study the effectiveness of dimeric Aryl ß-Diketo Acids on HIV-1 Integrase enzyme inhibition. Dimeric Aryl ß-Diketo Acids have been proven to be effective inhibitors of the biological mechanism of protein transfer known as HIV-integrase. This...
Social media is becoming a critical avenue for businesses today to target new customers and create brand loyalty. In order to target users effectively, companies need to know basic information about their users. However, in many cases, user profiles are either incomplete or completely wrong, and one of the most critical pieces of private information is gender. In this paper we examine the case of...
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