Alexander Seeliger

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Business Process

Anomaly Detection

Top Venues

Publications

Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu
Discovering Process-Based Drivers for Case-Level Outcome Explanation. ICPM Workshops (2023)
Yannik Gerlach, Alexander Seeliger, Timo Nolle, Max Mühlhäuser
Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors. CAiSE (2022)
Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser
BINet: Multi-perspective business process anomaly classification. Inf. Syst. 103 (2022)
Christopher Klinkmüller, Alexander Seeliger, Richard Müller, Luise Pufahl, Ingo Weber
A Method for Debugging Process Discovery Pipelines to Analyze the Consistency of Model Properties. BPM (2021)
Alexander Seeliger, Stefan Luettgen, Timo Nolle, Max Mühlhäuser
Learning of Process Representations Using Recurrent Neural Networks. CAiSE (2021)
Timo Nolle, Alexander Seeliger, Nils Thoma, Max Mühlhäuser
DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks. CAiSE (2020)
Stefan Luettgen, Alexander Seeliger, Timo Nolle, Max Mühlhäuser
Case2vec: Advances in Representation Learning for Business Processes. ICPM Workshops (2020)
Alexander Seeliger, Alejandro Sánchez Guinea, Timo Nolle, Max Mühlhäuser
ProcessExplorer: Intelligent Process Mining Guidance. BPM (2019)
Timo Nolle, Alexander Seeliger, Nils Thoma, Max Mühlhäuser
DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks. CoRR (2019)
Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser
BINet: Multi-perspective Business Process Anomaly Classification. CoRR (2019)
Alejandro Sánchez Guinea, Alexander Seeliger, Veljko Pejovic, Usman Naeem, Philipp M. Scholl, Cristina Mihale-Wilson, Elena Di Lascio, Muhammad Awais Azam, Pei-Yi (Patricia) Kuo, Max Mühlhäuser, Christian Meurisch
UPA'19: 4th international workshop on ubiquitous personal assistance. UbiComp/ISWC Adjunct (2019)
Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser
Analyzing Business Process Anomalies Using Autoencoders. CoRR (2018)
Timo Nolle, Alexander Seeliger, Max Mühlhäuser
BINet: Multivariate Business Process Anomaly Detection Using Deep Learning. BPM (2018)
Alexander Seeliger, Timo Nolle, Max Mühlhäuser
Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery. BPM (2018)
Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser
Analyzing business process anomalies using autoencoders. Mach. Learn. 107 (11) (2018)
Alexander Seeliger, Timo Nolle, Max Mühlhäuser
Detecting Concept Drift in Processes using Graph Metrics on Process Graphs. S-BPM ONE (2017)
Alexander Seeliger, Michael Stein, Max Mühlhäuser
Can We Find Better Process Models? Process Model Improvement Using Motif-Based Graph Adaptation. Business Process Management Workshops (2017)
Alexander Seeliger, Benedikt Schmidt, Immanuel Schweizer, Max Mühlhäuser
What Belongs Together Comes Together: Activity-centric Document Clustering for Information Work. IUI (2016)
Timo Nolle, Alexander Seeliger, Max Mühlhäuser
Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders. DS (2016)
Alexander Seeliger, Timo Nolle, Benedikt Schmidt, Max Mühlhäuser
Process Compliance Checking using Taint Flow Analysis. ICIS (2016)
Christian Meurisch, Alexander Seeliger, Benedikt Schmidt, Immanuel Schweizer, Fabian Kaup, Max Mühlhäuser
Upgrading Wireless Home Routers for Enabling Large-Scale Deployment of Cloudlets. MobiCASE (2015)