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05/08/2023
Is AUC the best measure for practical comparison of anomaly detectors?
The area under receiver operating characteristics (AUC) is the standard ...
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10/10/2021
Fitting large mixture models using stochastic component selection
Traditional methods for unsupervised learning of finite mixture models r...
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12/11/2020
Comparison of Anomaly Detectors: Context Matters
Deep generative models are challenging the classical methods in the fiel...
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10/07/2020
Solvability of the Power Flow Problem in DC Overhead Wire Circuit
Proper traffic simulation of electric vehicles, which draw energy from o...
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06/22/2020
DeepTopPush: Simple and Scalable Method for Accuracy at the Top
Accuracy at the top is a special class of binary classification problems...
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06/02/2020
Neural Power Units
Conventional Neural Networks can approximate simple arithmetic operation...
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02/26/2020
Nonlinear classifiers for ranking problems based on kernelized SVM
Many classification problems focus on maximizing the performance only on...
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02/25/2020
General Framework for Binary Classification on Top Samples
Many binary classification problems minimize misclassification above (or...
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12/02/2019
Rodent: Relevance determination in ODE
From a set of observed trajectories of a partially observed system, we a...
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05/28/2019
Anomaly scores for generative models
Reconstruction error is a prevalent score used to identify anomalous sam...
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07/13/2018
Are generative deep models for novelty detection truly better?
Many deep models have been recently proposed for anomaly detection. This...
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03/19/2015