| Learning Explainable Representations of Malware Behavior | 0 | 0.34 | 2021 |
| Biometric Identification and Presentation-Attack Detection using Micro- and Macro-Movements of the Eyes | 1 | 0.36 | 2020 |
| Discriminative Viewer Identification using Generative Models of Eye Gaze | 0 | 0.34 | 2020 |
| On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification. | 1 | 0.36 | 2020 |
| Joint detection of malicious domains and infected clients | 0 | 0.34 | 2019 |
| Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye. | 1 | 0.36 | 2019 |
| Malware Detection by Analysing Network Traffic with Neural Networks | 3 | 0.39 | 2017 |
| Varying-coefficient models for geospatial transfer learning. | 0 | 0.34 | 2017 |
| Malware Detection by Analysing Encrypted Network Traffic with Neural Networks. | 3 | 0.45 | 2017 |
| Learning to control a structured-prediction decoder for detection of HTTP-layer DDoS attackers. | 1 | 0.34 | 2016 |
| Huber-Norm Regularization for Linear Prediction Models. | 2 | 0.39 | 2016 |
| Varying-coefficient models with isotropic Gaussian process priors | 0 | 0.34 | 2015 |
| Solving Prediction Games with Parallel Batch Gradient Descent | 0 | 0.34 | 2015 |
| Learning to identify concise regular expressions that describe email campaigns. | 0 | 0.34 | 2015 |
| A Model of Individual Differences in Gaze Control During Reading. | 1 | 0.40 | 2014 |
| Joint Prediction of Topics in a URL Hierarchy. | 2 | 0.39 | 2014 |
| Active evaluation of ranking functions based on graded relevance (extended abstract) | 0 | 0.34 | 2013 |
| Active evaluation of ranking functions based on graded relevance | 2 | 0.39 | 2013 |
| Bayesian Games for Adversarial Regression Problems. | 11 | 0.76 | 2013 |
| Lagrangian Strain Tensor Computation With Higher Order Variational Models | 4 | 0.41 | 2013 |
| Active Comparison of Prediction Models. | 3 | 0.38 | 2012 |
| Finding Botnets Using Minimal Graph Clusterings | 3 | 0.39 | 2012 |
| Learning to Identify Regular Expressions that Describe Email Campaigns | 4 | 0.52 | 2012 |
| Static prediction games for adversarial learning problems | 58 | 2.30 | 2012 |
| Stackelberg games for adversarial prediction problems | 65 | 2.53 | 2011 |
| Active Estimation of F-Measures. | 7 | 0.56 | 2010 |
| Throttling Poisson Processes. | 0 | 0.34 | 2010 |
| Active Risk Estimation | 11 | 0.85 | 2010 |
| Scalable pattern mining with Bayesian networks as background knowledge | 13 | 0.63 | 2009 |
| Discriminative Learning Under Covariate Shift | 86 | 3.11 | 2009 |
| Bayesian clustering for email campaign detection | 6 | 0.49 | 2009 |
| Localizing Bugs in Program Executions with Graphical Models. | 8 | 0.57 | 2009 |
| Nash Equilibria of Static Prediction Games. | 31 | 2.00 | 2009 |
| Schema matching on streams with accuracy guarantees | 3 | 0.51 | 2008 |
| Exact and Approximate Inference for Annotating Graphs with Structural SVMs | 2 | 0.35 | 2008 |
| Transfer Learning by Distribution Matching for Targeted Advertising | 15 | 1.01 | 2008 |
| Multi-task learning for HIV therapy screening | 70 | 2.42 | 2008 |
| Learning from incomplete data with infinite imputations | 18 | 0.91 | 2008 |
| Unsupervised prediction of citation influences | 116 | 6.80 | 2007 |
| Scalable look-ahead linear regression trees | 10 | 0.62 | 2007 |
| Support Vector Machines for Collective Inference | 0 | 0.34 | 2007 |
| Discriminative learning for differing training and test distributions | 145 | 8.41 | 2007 |
| Supervised clustering of streaming data for email batch detection | 12 | 0.66 | 2007 |
| Transductive support vector machines for structured variables | 27 | 1.37 | 2007 |
| Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings | 75 | 6.40 | 2006 |
| Efficient co-regularised least squares regression | 50 | 2.54 | 2006 |
| Efficient large scale linear programming support vector machines | 7 | 0.61 | 2006 |
| Highly Scalable Discriminative Spam Filtering | 1 | 0.37 | 2006 |
| Bayesian active learning for sensitivity analysis | 4 | 0.53 | 2006 |
| Dirichlet-Enhanced Spam Filtering based on Biased Samples | 40 | 5.57 | 2006 |
