Follow
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, 1875-1893, 2018
702018
Unsupervised anomaly detection in noisy business process event logs using denoising autoencoders
T Nolle, A Seeliger, M Mühlhäuser
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
482016
BINet: multivariate business process anomaly detection using deep learning
T Nolle, A Seeliger, M Mühlhäuser
Business Process Management: 16th International Conference, BPM 2018, Sydney …, 2018
462018
Binet: Multi-perspective business process anomaly classification
T Nolle, S Luettgen, A Seeliger, M Mühlhäuser
Information Systems 103, 101458, 2022
422022
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
352017
ProcessExplorer: intelligent process mining guidance
A Seeliger, A Sánchez Guinea, T Nolle, M Mühlhäuser
Business Process Management: 17th International Conference, BPM 2019, Vienna …, 2019
182019
DeepAlign: alignment-based process anomaly correction using recurrent neural networks
T Nolle, A Seeliger, N Thoma, M Mühlhäuser
Advanced Information Systems Engineering: 32nd International Conference …, 2020
162020
Finding structure in the unstructured: hybrid feature set clustering for process discovery
A Seeliger, T Nolle, M Mühlhäuser
Business Process Management: 16th International Conference, BPM 2018, Sydney …, 2018
112018
Process compliance checking using taint flow analysis
A Seeliger, T Nolle, B Schmidt, M Mühlhäuser
82016
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
Learning of process representations using recurrent neural networks
A Seeliger, S Luettgen, T Nolle, M Mühlhäuser
Advanced Information Systems Engineering: 33rd International Conference …, 2021
52021
Case2vec: Advances in representation learning for business processes
S Luettgen, A Seeliger, T Nolle, M Mühlhäuser
Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021
42021
Data-driven detection of congestion-affected roads
T Nolle, I Schweizer, F Janssen
Technical Report TUD-KE-2014-02, 2014
42014
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
Process Explorer: Interactive Visual Exploration of Event Logs with Analysis Guidance
A Seeliger, M Ratzke, T Nolle, M Mühlhäuser
Proceedings of the 1st International Conference on Process Mining, Aachen …, 2019
22019
Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors
Y Gerlach, A Seeliger, T Nolle, M Mühlhäuser
Advanced Information Systems Engineering: 34th International Conference …, 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
Process Learning for Autonomous Process Anomaly Correction
T Nolle
Learning 1, P4, 2003
2003
The system can't perform the operation now. Try again later.
Articles 1–20