Václav Šmídl | DeepAI

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Featured Co-authors

Tomáš Pevný
28 publications
Lukáš Adam
8 publications
Niklas Heim
4 publications
Vít Škvára
3 publications
Václav Mácha
3 publications
Milan Papež
2 publications
Jan Bím
1 publication
Jan Franců
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Matěj Zorek
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Ondřej Tichý
1 publication
Jakub Ševčík
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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 ...

0 Vít Škvára, et al. ∙

∙ 10/10/2021

Fitting large mixture models using stochastic component selection

Traditional methods for unsupervised learning of finite mixture models r...

0 Milan Papež, et al. ∙

∙ 12/11/2020

Comparison of Anomaly Detectors: Context Matters

Deep generative models are challenging the classical methods in the fiel...

24 Vít Škvára, et al. ∙

∙ 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...

0 Jakub Ševčík, et al. ∙

∙ 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...

0 Lukáš Adam, et al. ∙

∙ 06/02/2020

Neural Power Units

Conventional Neural Networks can approximate simple arithmetic operation...

0 Niklas Heim, et al. ∙

∙ 02/26/2020

Nonlinear classifiers for ranking problems based on kernelized SVM

Many classification problems focus on maximizing the performance only on...

0 Václav Mácha, et al. ∙

∙ 02/25/2020

General Framework for Binary Classification on Top Samples

Many binary classification problems minimize misclassification above (or...

0 Lukáš Adam, et al. ∙

∙ 12/02/2019

Rodent: Relevance determination in ODE

From a set of observed trajectories of a partially observed system, we a...

0 Niklas Heim, et al. ∙

∙ 05/28/2019

Anomaly scores for generative models

Reconstruction error is a prevalent score used to identify anomalous sam...

0 Václav Šmídl, et al. ∙

∙ 07/13/2018

Are generative deep models for novelty detection truly better?

Many deep models have been recently proposed for anomaly detection. This...

0 Vít Škvára, et al. ∙

∙ 03/19/2015

Non-parametric Bayesian Models of Response Function in Dynamic Image Sequences

Estimation of response functions is an important task in dynamic medical...

0 Ondřej Tichý, et al. ∙

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