1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
Computer-generated imagery of car models has become an indispensable part of car manufacturers' advertisement concepts. They are for instance used in car configurators to offer cus…
cs.CY2020★ 1 cited
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
Lucas Baier, Niklas Kühl, Jakob Schöffer +1
As a reaction to the high infectiousness and lethality of the COVID-19 virus, countries around the world have adopted drastic policy measures to contain the pandemic. However, it r…
cs.LG2020
DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
Convolutional Neural Networks (CNNs) have proven to be state-of-the-art models for supervised computer vision tasks, such as image classification. However, large labeled data sets…