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Timo Nolle
ORCID
Publication Activity (10 Years)
Years Active: 2016-2022
Publications (10 Years): 17
Top Topics
Recurrent Neural Networks
Business Process
Ws Bpel
Process Mining
Top Venues
CoRR
CAiSE
BPM
MobiQuitous
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Publications
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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)
Alexander Seeliger
,
Stefan Luettgen
,
Timo Nolle
,
Max Mühlhäuser
Learning of Process Representations Using Recurrent Neural Networks.
CAiSE
(2021)
Timo Nolle
Process Learning for Process Autonomous Anomaly Correction (Extended Abstract).
BPM (PhD/Demos)
(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)
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)
Christian Meurisch
,
Artur Gogel
,
Benedikt Schmidt
,
Timo Nolle
,
Frederik Janssen
,
Immanuel Schweizer
,
Max Mühlhäuser
Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones.
MobiQuitous
(2017)
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)