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Timo Nolle
Timo Nolle
Telecooperation, Computer Science
Verified email at tk.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
Analyzing business process anomalies using autoencoders
T Nolle, S Luettgen, A Seeliger, M Mühlhäuser
Machine Learning 107 (11), 1875-1893, 2018
652018
Unsupervised anomaly detection in noisy business process event logs using denoising autoencoders
T Nolle, A Seeliger, M Mühlhäuser
International conference on discovery science, 442-456, 2016
452016
BINet: multivariate business process anomaly detection using deep learning
T Nolle, A Seeliger, M Mühlhäuser
International Conference on Business Process Management, 271-287, 2018
432018
Binet: Multi-perspective business process anomaly classification
T Nolle, S Luettgen, A Seeliger, M Mühlhäuser
Information Systems 103, 101458, 2022
372022
Detecting concept drift in processes using graph metrics on process graphs
A Seeliger, T Nolle, M Mühlhäuser
Proceedings of the 9th Conference on Subject-Oriented Business Process …, 2017
342017
DeepAlign: alignment-based process anomaly correction using recurrent neural networks
T Nolle, A Seeliger, N Thoma, M Mühlhäuser
International Conference on Advanced Information Systems Engineering, 319-333, 2020
132020
ProcessExplorer: intelligent process mining guidance
A Seeliger, A Sánchez Guinea, T Nolle, M Mühlhäuser
International Conference on Business Process Management, 216-231, 2019
132019
Finding structure in the unstructured: hybrid feature set clustering for process discovery
A Seeliger, T Nolle, M Mühlhäuser
International Conference on Business Process Management, 288-304, 2018
102018
Process explorer: an interactive visual recommendation system for process mining
A Seeliger, T Nolle, M Mühlhäuser
KDD Workshop on Interactive Data Exploration and Analytics, 2018
62018
Process compliance checking using taint flow analysis
A Seeliger, T Nolle, B Schmidt, M Mühlhäuser
62016
Learning of process representations using recurrent neural networks
A Seeliger, S Luettgen, T Nolle, M Mühlhäuser
International Conference on Advanced Information Systems Engineering, 109-124, 2021
52021
Case2vec: Advances in representation learning for business processes
S Luettgen, A Seeliger, T Nolle, M Mühlhäuser
International Conference on Process Mining, 162-174, 2020
42020
Capturing daily student life by recognizing complex activities using smartphones
C Meurisch, A Gogel, B Schmidt, T Nolle, F Janssen, I Schweizer, ...
Proceedings of the 14th EAI International Conference on Mobile and …, 2017
32017
Data-driven detection of congestion-affected roads
T Nolle, I Schweizer, F Janssen
Technical Report TUD-KE-2014-02, 2014
32014
Process Explorer: Interactive Visual Exploration of Event Logs with Analysis Guidance
A Seeliger, R Maximilian, T Nolle, M Mühlhäuser, MB Andrea, P Artem, ...
Proceedings of the 1st International Conference on Process Mining, Aachen …, 2019
22019
Process Learning for Autonomous Process Anomaly Correction
T Nolle
Learning 1, P4, 2003
12003
Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors
Y Gerlach, A Seeliger, T Nolle, M Mühlhäuser
International Conference on Advanced Information Systems Engineering, 19-35, 2022
2022
Extended synthetic event logs for multi-perspective trace clustering
A Seeliger, S Lüttgen, M Mühlhäuser, T Nolle
2020
Synthetic event logs for multi-perspective trace clustering
A Seeliger, T Nolle, M Mühlhäuser
2018
Predicting Traffic Volume Using User-generated Data
T Nolle
2013
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