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Number of items: 4.

Article

Nolle, Timo and Luettgen, Stefan and Seeliger, Alexander and Mühlhäuser, Max (2019):
BINet: Multi-perspective business process anomaly classification.
In: Information Systems, p. 101458. Elsevier ScienceDirect, ISSN 0306-4379,
DOI: 10.1016/j.is.2019.101458,
[Article]

Nolle, Timo and Luettgen, Stefan and Seeliger, Alexander and Mühlhäuser, Max (2018):
Analyzing business process anomalies using autoencoders.
In: Machine Learning, ISSN 0885-6125,
DOI: 10.1007/s10994-018-5702-8,
[Article]

Kroemer, Oliver and Leischnig, Simon and Luettgen, Stefan and Peters, Jan (2018):
A Kernel-based Approach to Learning Contact Distributions for Robot Manipulation Tasks.
In: Autonomous Robots, 42 (3), pp. 581-600. DOI: 10.1007/s10514-017-9651-z,
[Article]

Conference or Workshop Item

Luettgen, Stefan and Seeliger, Alexander and Nolle, Timo and Mühlhäuser, Max (2021):
Case2vec : Advances in Representation Learning for Business Processes.
In: Lecture Notes in Business Information Processing, 406, In: Process Mining Workshops, pp. 162-174,
Springer, 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM), virtual Conference, 05.-08.10.2020, ISBN 978-3-030-72692-8,
DOI: 10.1007/978-3-030-72693-5_13,
[Conference or Workshop Item]

This list was generated on Sat May 8 01:24:36 2021 CEST.