Alexander Seeliger

Orcid: 0000-0002-0649-6225

According to our database1, Alexander Seeliger authored at least 19 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Discovering Process-Based Drivers for Case-Level Outcome Explanation.
Proceedings of the Process Mining Workshops, 2023

2022
BINet: Multi-perspective business process anomaly classification.
Inf. Syst., 2022

Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors.
Proceedings of the Advanced Information Systems Engineering, 2022

2021
Learning of Process Representations Using Recurrent Neural Networks.
Proceedings of the Advanced Information Systems Engineering, 2021

A Method for Debugging Process Discovery Pipelines to Analyze the Consistency of Model Properties.
Proceedings of the Business Process Management - 19th International Conference, 2021

2020
Intelligent Computer-assisted Process Mining
PhD thesis, 2020

Case2vec: Advances in Representation Learning for Business Processes.
Proceedings of the Process Mining Workshops, 2020

DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks.
Proceedings of the Advanced Information Systems Engineering, 2020

2019
UPA'19: 4th international workshop on ubiquitous personal assistance.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

ProcessExplorer: Intelligent Process Mining Guidance.
Proceedings of the Business Process Management - 17th International Conference, 2019

2018
Analyzing business process anomalies using autoencoders.
Mach. Learn., 2018

Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery.
Proceedings of the Business Process Management - 16th International Conference, 2018

BINet: Multivariate Business Process Anomaly Detection Using Deep Learning.
Proceedings of the Business Process Management - 16th International Conference, 2018

2017
Detecting Concept Drift in Processes using Graph Metrics on Process Graphs.
Proceedings of the 9th Conference on Subject-oriented Business Process Management, 2017

Can We Find Better Process Models? Process Model Improvement Using Motif-Based Graph Adaptation.
Proceedings of the Business Process Management Workshops, 2017

2016
What Belongs Together Comes Together: Activity-centric Document Clustering for Information Work.
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Process Compliance Checking using Taint Flow Analysis.
Proceedings of the International Conference on Information Systems, 2016

Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
Upgrading Wireless Home Routers for Enabling Large-Scale Deployment of Cloudlets.
Proceedings of the Mobile Computing, Applications, and Services, 2015


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