In 2004, Nathalie Japkowicz, Rehan Akbani and Stephen Kwek, published “Applying Support Vector Machines to Imbalanced Datasets”. In 2014, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases selected this paper for the "Test-of-time Award”. This selection was based on the impressive number of follow-up works, as is witnessed by the many citations it received and continues to receive.
The paper was chosen by the ECML/PKDD 2014 program and award committee chairs. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases took place in France from September 15th to 19th, 2014.
Nathalie Japkowicz is a Professor of Computer Science at the School of Electrical Engineering and Computer Science and the Director of the Laboratory for Research on Machine Learning for Defense and Security at the University of Ottawa.
Recent applications of her research include: the monitoring of threats to public safety by detecting Gamma-emitting hazardous materials, the detection of underwater mines or improvised explosive devices with multiple autonomous unmanned vehicle operations, the monitoring of international conformation to the Comprehensive Nuclear Test Ban Treaty, and the detection of serious threats to computer networks.