105 citations · 441 across the 38 of their papers we have counts for
6 papers · 1 filter
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Marcel P. Schilling, Luca Rettenberger, Friedrich Münke +5
Recent research in the field of computer vision strongly focuses on deep learning architectures to tackle image processing problems. Deep neural networks are often considered in co…
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Oliver Neumann, Nicole Ludwig, Marian Turowski +3
Deep Neural Networks are able to solve many complex tasks with less engineering effort and better performance. However, these networks often use data for training and evaluation wi…
Concepts for Automated Machine Learning in Smart Grid Applications
Stefan Meisenbacher, Janik Pinter, Tim Martin +2
Undoubtedly, the increase of available data and competitive machine learning algorithms has boosted the popularity of data-driven modeling in energy systems. Applications are forec…
pyWATTS: Python Workflow Automation Tool for Time Series
Benedikt Heidrich, Andreas Bartschat, Marian Turowski +7
Time series data are fundamental for a variety of applications, ranging from financial markets to energy systems. Due to their importance, the number and complexity of tools and me…
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
Vinayak Sharma, Jorge Angel Gonzalez Ordiano, Ralf Mikut +1
The high penetration of volatile renewable energy sources such as solar make methods for coping with the uncertainty associated with them of paramount importance. Probabilistic for…
Data-Driven Copy-Paste Imputation for Energy Time Series
Moritz Weber, Marian Turowski, Hüseyin K. Çakmak +3
A cornerstone of the worldwide transition to smart grids are smart meters. Smart meters typically collect and provide energy time series that are vital for various applications, su…