A meta-analysis of the utility of explainable artificial intelligence in human-AI decision-making
Research in artificial intelligence (AI)-assisted decision-making is experiencing tremendous
growth with a constantly rising number of studies evaluating the effect of AI with and without …
growth with a constantly rising number of studies evaluating the effect of AI with and without …
Artificial intelligence for sustainability: Facilitating sustainable smart product-service systems with computer vision
Recent advances in artificial intelligence in general, and deep learning in particular, enable
innovations that have a massive impact on society and industries. Autonomous driving …
innovations that have a massive impact on society and industries. Autonomous driving …
Deal: Deep evidential active learning for image classification
Abstract 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 …
for supervised computer vision tasks, such as image classification. However, large labeled …
On the effect of information asymmetry in human-AI teams
Over the last years, the rising capabilities of artificial intelligence (AI) have improved human
decision-making in many application areas. Teaming between AI and humans may even …
decision-making in many application areas. Teaming between AI and humans may even …
[PDF][PDF] labelCloud: A lightweight labeling tool for domain-agnostic 3d object detection in point clouds
The rapid development of 3D sensors and object detection methods based on 3D point
clouds has led to increasing demand for labeling tools that provide suitable training data …
clouds has led to increasing demand for labeling tools that provide suitable training data …
A picture is worth a collaboration: Accumulating design knowledge for computer-vision-based hybrid intelligence systems
Computer vision (CV) techniques try to mimic human capabilities of visual perception to
support labor-intensive and time-consuming tasks like the recognition and localization of …
support labor-intensive and time-consuming tasks like the recognition and localization of …
Human-in-the-loop for computer vision assurance: A survey
Abstract Human-in-the-loop (HITL), a key branch of Human–Computer Interaction (HCI), is
increasingly proposed in the research literature as a key assurance method for automated …
increasingly proposed in the research literature as a key assurance method for automated …
Deep learning and rule-based image processing pipeline for automated metal cutting tool wear detection and measurement
Tool wear causes costs and quality problems in metal cutting manufacturing processes. This
paper contains an approach of digitalization and big data analytical methods to quantify the …
paper contains an approach of digitalization and big data analytical methods to quantify the …
Utilizing Active Machine Learning for Quality Assurance: A case study of virtual car renderings in the automotive industry
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 …
manufacturers' advertisement concepts. They are for instance used in car configurators to …
Interactive image segmentation using superpixels and deep metric learning for tool condition monitoring
The optical measurement of tool wear is commonly used to monitor machining processes.
Recently, deep learning methods, in particular, have been applied for the identification and …
Recently, deep learning methods, in particular, have been applied for the identification and …