14 citations · 31 across the 9 of their papers we have counts for
5 papers · 1 filter
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
Angelo Yamachui Sitcheu, Nils Friederich, Simon Baeuerle +3
Nowadays, Machine Learning (ML) is experiencing tremendous popularity that has never been seen before. The operationalization of ML models is governed by a set of concepts and meth…
EasyMLServe: Easy Deployment of REST Machine Learning Services
Oliver Neumann, Marcel Schilling, Markus Reischl +1
Various research domains use machine learning approaches because they can solve complex tasks by learning from data. Deploying machine learning models, however, is not trivial and…
A universal synthetic dataset for machine learning on spectroscopic data
Jan Schuetzke, Nathan J. Szymanski, Markus Reischl
To assist in the development of machine learning methods for automated classification of spectroscopic data, we have generated a universal synthetic dataset that can be used for mo…
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic
Mark Schutera, Niklas Goby, Dirk Neumann +1
Transportation and traffic are currently undergoing a rapid increase in terms of both scale and complexity. At the same time, an increasing share of traffic participants are being…
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide
Ralf Mikut, Andreas Bartschat, Wolfgang Doneit +5
The Matlab toolbox SciXMiner is designed for the visualization and analysis of time series and features with a special focus to classification problems. It was developed at the Ins…