1 code implementation • 18 Jun 2021 • Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
Time series data are fundamental for a variety of applications, ranging from financial markets to energy systems.
no code implementations • 11 Oct 2019 • Geoffroy Chaussonnet, Christian Lieber, Yan Yikang, Wenda Gu, Andreas Bartschat, Markus Reischl, Rainer Koch, Ralf Mikut, Hans-Jörg Bauer
This technical report investigates the potential of Convolutional Neural Networks to post-process images from primary atomization.
no code implementations • 19 Jun 2018 • Nadezhda Prodanova, Johannes Stegmaier, Stephan Allgeier, Sebastian Bohn, Oliver Stachs, Bernd Köhler, Ralf Mikut, Andreas Bartschat
Transfer learning is a powerful tool to adapt trained neural networks to new tasks.
no code implementations • 18 Oct 2017 • Johannes Stegmaier, Thiago V. Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha
Automated segmentation approaches are crucial to quantitatively analyze large-scale 3D microscopy images.
no code implementations • 11 Apr 2017 • Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Ángel González Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl
The decision to a Matlab-based solution was made to use the wide mathematical functionality of this package provided by The Mathworks Inc. SciXMiner is controlled by a graphical user interface (GUI) with menu items and control elements like popup lists, checkboxes and edit elements.