Conference or Workshop Item

Nolle, Timo ; Seeliger, Alexander ; Thoma, Nils ; Mühlhäuser, Max
Dustdar, Schahram ; Yu, Eric ; Salinesi, Camille ; Rieu, Dominique ; Pant, Vik (eds.) (2020):
DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks.
pp. 319-333, Springer, 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020), virtual Conference, 08.-12.06., ISSN 0302-9743, ISBN 978-3-030-49434-6,
DOI: 10.1007/978-3-030-49435-3_20,
[Conference or Workshop Item]

Bachelor Thesis

Thoma, Nils (2018):
Learning to Detect Personal Information in German Text Documents.
Darmstadt, Technische Universität, [Bachelor Thesis]