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Publications by Alexander Seeliger
Analyzing Business Process Anomalies Using Autoencoders
Machine Learning
Artificial Intelligence
Software
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Detection of Video Anomalies Using Convolutional Autoencoders and One-Class Support Vector Machines
Quantifying Business Process Optimization Using Regression
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SSRN Electronic Journal
Deep Probabilistic NMF Using Denoising Autoencoders
International Journal of Machine Learning and Computing
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Computer Science Applications
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Business Process Assessment Using Discrete Simulation
From Business Process Management to Business Process Ecosystem
Journal of Information Technology
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Using Process Maps for Simulation Modelling in Business Process Change Projects
Using View Process Models in Collaborative Business Processes
Identifying Anomalies in SBVR-based Business Rules Using Directed Graphs and SMT-LIBv2
