Search Results - subject:"Computer Vision"

Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems

Landwehr, Julius Peter; Kühl, Niklas; Walk, Jannis; … - In: Business & Information Systems Engineering 64 (2022) 6, pp. 707-728

With the ever-increasing societal dependence on electricity, one of the critical tasks in power supply is maintaining the power line infrastructure. In the process of making informed, cost-effective, and timely decisions, maintenance engineers must rely on human-created, heterogeneous,...

Persistent link: https://www.econbiz.de/10015178306

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks

Schlosser, Tobias; Friedrich, Michael; Beuth, Frederik; … - In: Journal of Intelligent Manufacturing 33 (2022) 4, pp. 1099-1123

manufacturing defects by leveraging the power of artificial intelligence and computer vision systems, enabling manufacturers to … classical computer vision approaches, whereas more novel systems deploy deep learning based ones. However, a persistent problem … the finest structures within pixel size via a classical computer vision pipeline, while the classification process is …

Persistent link: https://www.econbiz.de/10015192812

Towards accountability in machine learning applications: A system-testing approach

Wan, Wayne Xinwei; Lindenthal, Thies - 2022

A rapidly expanding universe of technology-focused startups is trying to change and improve the way real estate markets operate. The undisputed predictive power of machine learning (ML) models often plays a crucial role in the 'disruption' of traditional processes. However, an accountability gap...

Persistent link: https://www.econbiz.de/10012876070

State of the Art of Audio- and Video-Based Solutions for AAL

Aleksic, Slavisa; Atanasov, Michael; Agius, Jean Calleja; … - 2022

It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action....

Persistent link: https://www.econbiz.de/10013166087

Visual Representation and Stereotypes in News Media

Ash, Elliott; Durante, Ruben; Grebenshchikova, Maria; … - 2022

We propose a new method for measuring gender and ethnic stereotypes in news reports. By combining computer vision and …

Persistent link: https://www.econbiz.de/10013266651

Position paper on ethical, legal and social challenges linked to audio- and video-based AAL solutions

Ake-Kob, Alin; Aleksic, Slavisa; Alexin, Zoltán; … - 2022

In this position paper, we have used Alan Cooper's persona technique to illustrate the utility of audio- and video-based AAL technologies. Therefore, two primary examples of potential audio- and video-based AAL users, Anna and Irakli, serve as reference points for describing salient ethical,...

Persistent link: https://www.econbiz.de/10013448151

Visual representation and stereotypes in news media

Ash, Elliott; Durante, Ruben; Grebenshchikova, Maria; … - 2022

We propose a new method for measuring gender and ethnic stereotypes in news reports. By combining computer vision and …

Persistent link: https://www.econbiz.de/10013176883

Towards accountability in machine learning applications : a system-testing approach

Wan, Wayne Xinwei; Lindenthal, Thies - 2022

A rapidly expanding universe of technology-focused startups is trying to change and improve the way real estate markets operate. The undisputed predictive power of machine learning (ML) models often plays a crucial role in the ‘disruption’ of traditional processes. However, an accountability...

Persistent link: https://www.econbiz.de/10012816359

Biased auctioneers

Aubry, Mathieu; Kräussl, Roman; Manso, Gustavo; … - 2022 - This version: January 6, 2022

We construct a neural network algorithm that generates price predictions for art at auction, relying on both visual and non-visual object characteristics. We find that higher automated valuations relative to auction house pre-sale estimates are associated with substantially higher...

Persistent link: https://www.econbiz.de/10013555468

Towards accountability in machine learning applications : a system-testing approach

Wan, Wayne Xinwei; Lindenthal, Thies - 2022

Persistent link: https://www.econbiz.de/10013270171