Barista - a Graphical Tool for Designing and Training Deep Neural Networks

Autor: Klemm, Soeren, Scherzinger, Aaron, Drees, Dominik, Jiang, Xiaoyi

In recent years, the importance of deep learning has significantly increased in pattern recognition, computer vision, and artificial intelligence research, as well as in industry. However, despite the existence of multiple deep learning frameworks, t

Externí odkaz: http://arxiv.org/abs/1802.04626

Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets

Autor: Drees, Dominik, Scherzinger, Aaron, Hägerling, René, Kiefer, Friedemann, Jiang, Xiaoyi

Publikováno v: BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-28 (2021)

Background: Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but also impose huge challenges regarding scalability for automat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68e43436907e0445f5ffa5b9ff450c22
https://repositorium.uni-muenster.de/transfer/miami/45e7f212-88b1-46f2-99ec-907281b41c4d

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SkInteract: An On-body Interaction System Based on Skin-Texture Recognition.

Autor: Prätorius, Manuel, Scherzinger, Aaron, Hinrichs, Klaus

Publikováno v: Human-computer Interaction, Interact 2015: 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part IV; 2015, p425-432, 8p