275 citations · 336 across the 20 of their papers we have counts for
3 papers · 1 filter
Machine Learning (In) Security: A Stream of Problems
Fabrício Ceschin, Marcus Botacin, Albert Bifet +4
Machine Learning (ML) has been widely applied to cybersecurity and is considered state-of-the-art for solving many of the open issues in that field. However, it is very difficult t…
Adaptive XGBoost for Evolving Data Streams
Jacob Montiel, Rory Mitchell, Eibe Frank +3
Boosting is an ensemble method that combines base models in a sequential manner to achieve high predictive accuracy. A popular learning algorithm based on this ensemble method is e…
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes
Vithya Yogarajan, Jacob Montiel, Tony Smith +1
Machine learning-based multi-label medical text classifications can be used to enhance the understanding of the human body and aid the need for patient care. We present a broad stu…