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20192022
most citedUncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning

14 citations · 44 across the 10 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.SD2022★ 12 cited

Visual Transformers for Primates Classification and Covid Detection

Steffen Illium, Robert Müller, Andreas Sedlmeier +1

We apply the vision transformer, a deep machine learning model build around the attention mechanism, on mel-spectrogram representations of raw audio recordings. When adding mel-bas…

cs.SE2022★ 6 cited

Capturing Dependencies within Machine Learning via a Formal Process Model

Fabian Ritz, Thomy Phan, Andreas Sedlmeier +7

The development of Machine Learning (ML) models is more than just a special case of software development (SD): ML models acquire properties and fulfill requirements even without di…