Timo Nolle

According to our database, Timo Nolle authored at least 15 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

BINet: Multi-perspective business process anomaly classification.

Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser

Inf. Syst., 2022

Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors.

Yannik Gerlach, Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the Advanced Information Systems Engineering, 2022

2021

Learning of Process Representations Using Recurrent Neural Networks.

Alexander Seeliger, Stefan Luettgen, Timo Nolle, Max Mühlhäuser

Proceedings of the Advanced Information Systems Engineering, 2021

Process Learning for Process Autonomous Anomaly Correction (Extended Abstract).

Timo Nolle

Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to, 2021

2020

Process Learning for Autonomous Process Anomaly Correction.

Timo Nolle

PhD thesis, 2020

Case2vec: Advances in Representation Learning for Business Processes.

Stefan Luettgen, Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the Process Mining Workshops, 2020

DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks.

Timo Nolle, Alexander Seeliger, Nils Thoma, Max Mühlhäuser

Proceedings of the Advanced Information Systems Engineering, 2020

2019

ProcessExplorer: Intelligent Process Mining Guidance.

Alexander Seeliger, Alejandro Sánchez Guinea, Timo Nolle, Max Mühlhäuser

Proceedings of the Business Process Management - 17th International Conference, 2019

2018

Analyzing business process anomalies using autoencoders.

Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser

Mach. Learn., 2018

Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery.

Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the Business Process Management - 16th International Conference, 2018

BINet: Multivariate Business Process Anomaly Detection Using Deep Learning.

Timo Nolle, Alexander Seeliger, Max Mühlhäuser

Proceedings of the Business Process Management - 16th International Conference, 2018

2017

Detecting Concept Drift in Processes using Graph Metrics on Process Graphs.

Alexander Seeliger, Timo Nolle, Max Mühlhäuser

Proceedings of the 9th Conference on Subject-oriented Business Process Management, 2017

Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones.

Christian Meurisch, Artur Gogel, Benedikt Schmidt, Timo Nolle, Frederik Janssen, Immanuel Schweizer, Max Mühlhäuser

Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

2016

Process Compliance Checking using Taint Flow Analysis.

Alexander Seeliger, Timo Nolle, Benedikt Schmidt, Max Mühlhäuser

Proceedings of the International Conference on Information Systems, 2016

Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders.

Timo Nolle, Alexander Seeliger, Max Mühlhäuser

Proceedings of the Discovery Science - 19th International Conference, 2016