Stefan Luettgen

BINet: Multi-perspective Business Process Anomaly Classification pdf

Max Mühlhäuser, Timo Nolle, Alexander Seeliger, 2019, Inf. Syst..

A kernel-based approach to learning contact distributions for robot manipulation tasks

Jan Peters, Oliver Kroemer, Stefan Luettgen, 2017, Autonomous Robots.

Analyzing business process anomalies using autoencoders

Max Mühlhäuser, Timo Nolle, Alexander Seeliger, 2018, Machine Learning.

A kernel-based approach to learning contact distributions for robot manipulation tasks

Oliver Kroemer, Jan Peters, Simon Leischnig, 2018, Auton. Robots.

A comparison of contact distribution representations for learning to predict object interactions

Oliver Kroemer, Jan Peters, Simon Leischnig, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Learning of Process Representations Using Recurrent Neural Networks

Timo Nolle, Alexander Seeliger, Stefan Luettgen, 2021, CAiSE.

Case2vec: Advances in Representation Learning for Business Processes

Max Mühlhäuser, Alexander Seeliger, Timo Nolle, 2020, ICPM Workshops.