Timo Nolle

nameTimo Nolle
positionResearch Assistant
eMailnolle (AT)tk(DOT)tu-darmstadt(DOT)de
phone+49 (6151) 16 - 23192
fax+49 (6151) 16 - 23202
officeS2|02 B102
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt
Germany

Research Interests

  • Deep Learning
  • Machine Learning
  • Artificial Intelligence
  • Data Science

Publications

Displaying results 1 to 3 out of 3

Process Compliance Checking using Taint Flow Analysis
Alexander Seeliger, Timo Nolle, Benedikt Schmidt, Max Mühlhäuser
In: Proceedings of the 37th International Conference on Information Systems (ICIS), vol. 37, p. 1-18, December 2016.
http://aisel.aisnet.org/icis2016/DataScience/Presentations/6/.

Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders
Timo Nolle, Alexander Seeliger, Max Mühlhäuser
In: Calders, Toon; Ceci, Michelangelo; Malerba, Donato: Discovery Science: 19th International Conference, DS 2016, Bari, Italy, Proceedings, p. 442-456, Calders, Toon Ceci, Michelangelo Malerba, Donato, October 2016. ISBN 978-3-319-46307-0.
http://dx.doi.org/10.1007/978-3-319-46307-0_28.

Data-driven Detection of Congestion-affected Roads
Timo Nolle, Immanuel Schweizer, Frederik Janssen
2014.

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Theses

6 Entries found


26.06.2017

Anomaly Detection in Business Processes Using LSTMs

Master Thesis

in progress


26.06.2017

Root Cause Analysis in Business Processes Using Deep Learning

Master Thesis

in progress


26.06.2017

Automatic Detection of Numeric Dependencies in Business Processes

Bachelor Thesis

in progress


25.09.2017

Business Rule Framework for Spark Streaming

Master Thesis

finished


28.04.2017

Automatic Detection and Correction of Anomalies in Business Processes using Long short-term memory neural networks

Bachelor Thesis

finished



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