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V. Škvára

3 papers hereh-index 5181 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedAre generative deep models for novelty detection truly better?

32 citations · 34 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2023★ 2 cited

Is AUC the best measure for practical comparison of anomaly detectors?

Vít Škvára, Tomáš Pevný, Václav Šmídl

The area under receiver operating characteristics (AUC) is the standard measure for comparison of anomaly detectors. Its advantage is in providing a scalar number that allows a nat…

cs.LG2020

Comparison of Anomaly Detectors: Context Matters

Vít Škvára, Jan Franců, Matěj Zorek +2

Deep generative models are challenging the classical methods in the field of anomaly detection nowadays. Every new method provides evidence of outperforming its predecessors, often…

cs.LG2018★ 32 cited

Are generative deep models for novelty detection truly better?

Vít Škvára, Tomáš Pevný, Václav Šmídl

Many deep models have been recently proposed for anomaly detection. This paper presents comparison of selected generative deep models and classical anomaly detection methods on an…

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