Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders. - Timo Nolle; Alexander Seeliger; Max Mühlhäuser (DS, 2016)

Process Compliance Checking using Taint Flow Analysis. - Alexander Seeliger; Timo Nolle; Benedikt Schmidt 001; Max Mühlhäuser (ICIS, 2016)

Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones. - Christian Meurisch; Artur Gogel; Benedikt Schmidt 001; Timo Nolle; Frederik Janssen; Immanuel Schweizer; Max Mühlhäuser (MobiQuitous, 2017)

Detecting Concept Drift in Processes using Graph Metrics on Process Graphs. - Alexander Seeliger; Timo Nolle; Max Mühlhäuser (S-BPM ONE, 2017)

BINet: Multivariate Business Process Anomaly Detection Using Deep Learning. - Timo Nolle; Alexander Seeliger; Max Mühlhäuser (BPM, 2018)

Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery. - Alexander Seeliger; Timo Nolle; Max Mühlhäuser (BPM, 2018)

Analyzing business process anomalies using autoencoders. - Timo Nolle; Stefan Luettgen; Alexander Seeliger; Max Mühlhäuser (Mach. Learn., 2018)

ProcessExplorer: Intelligent Process Mining Guidance. - Alexander Seeliger; Alejandro Sánchez Guinea; Timo Nolle; Max Mühlhäuser (BPM, 2019)

DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks. - Timo Nolle; Alexander Seeliger; Nils Thoma; Max Mühlhäuser (CAiSE, 2020)

Case2vec: Advances in Representation Learning for Business Processes. - Stefan Luettgen; Alexander Seeliger; Timo Nolle; Max Mühlhäuser (ICPM Workshops, 2020)

Process Learning for Autonomous Process Anomaly Correction. - Timo Nolle (2020)

Process Learning for Process Autonomous Anomaly Correction (Extended Abstract). - Timo Nolle (BPM (PhD/Demos), 2021)

Learning of Process Representations Using Recurrent Neural Networks. - Alexander Seeliger; Stefan Luettgen; Timo Nolle; Max Mühlhäuser (CAiSE, 2021)

Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors. - Yannik Gerlach; Alexander Seeliger; Timo Nolle; Max Mühlhäuser (CAiSE, 2022)

BINet: Multi-perspective business process anomaly classification. - Timo Nolle; Stefan Luettgen; Alexander Seeliger; Max Mühlhäuser (Inf. Syst., 2022)