anomaly detection

Scoring anomalies: a M-estimation formulation AISTATS 2013 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Local Anomaly Detection AISTATS 2012 Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012 Robust Kernel Density Estimation JMLR 2012 Security Analysis of Online Centroid Anomaly Detection JMLR 2012 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Hierarchical Probabilistic Models for Group Anomaly Detection AISTATS 2011 Neyman-Pearson Classification, Convexity and Stochastic Constraints JMLR 2011 Neyman-Pearson classification under a strict constraint COLT 2011 Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data JMLR 2011 Detecting Weak but Hierarchically-Structured Patterns in Networks AISTATS 2010 Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 Dlib-ml: A Machine Learning Toolkit JMLR 2009 Tracking Dynamic Sources of Malicious Activity at Internet Scale NeurIPS 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Bayesian Co-Training NeurIPS 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 In-Network PCA and Anomaly Detection NeurIPS 2006