7 citations · 13 across the 7 of their papers we have counts for
3 papers · 1 filter
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
Philipp Spitzer, Dominik Martin, Laurin Eichberger +1
Domain adaptation is a sub-field of machine learning that involves transferring knowledge from a source domain to perform the same task in the target domain. It is a typical challe…
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning
Robin Hirt, Niklas Kühl, Dominik Martin +1
Successful analytics solutions that provide valuable insights often hinge on the connection of various data sources. While it is often feasible to generate larger data pools within…
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs
Dominik Martin, Philipp Spitzer, Niklas Kühl
Forecasts of product demand are essential for short- and long-term optimization of logistics and production. Thus, the most accurate prediction possible is desirable. In order to o…