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Discovering novelty in spatio/temporal data using one-class support vector machines., , and . IJCNN, page 2956-2963. IEEE Computer Society, (2009)Automatic Vandalism Detection in Wikipedia: Towards a Machine Learning Approach, , and . Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy (WikiAI08), page 43--48. AAAI Press, (2008)Identifying and characterising anomalies in data. University of Antwerp, Belgium, (2012)Evaluation of Performance Measures for SVR Hyperparameter Selection., , and . IJCNN, page 637-642. IEEE, (2007)Improving SAPS3-based Mortality Risk Prediction for ICU Patients using Random Forest Models: A Single-center Study., , , , and . AMIA, AMIA, (2013)