16 citations · 18 across the 3 of their papers we have counts for
3 papers
Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration
Giacomo Welsch, Peter Kowalczyk
Prediction-oriented machine learning is becoming increasingly valuable to organizations, as it may drive applications in crucial business areas. However, decision-makers from compa…
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics
Peter Kowalczyk, Giacomo Welsch, Frédéric Thiesse
The proliferation of deep learning techniques led to a wide range of advanced analytics applications in important business areas such as predictive maintenance or product recommend…
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing
Jonas Wanner, Christopher Wissuchek, Giacomo Welsch +1
Fueled by increasing data availability and the rise of technological advances for data processing and communication, business analytics is a key driver for smart manufacturing. How…