Andreas Metzger

32 Abonné

machine learning adaptive system reinforcement learning deep learning business process prediction business process monitoring transport big data adaptation explainability cloud service accuracy data protection transport and logistics analytics logistics data quality cloud computing evolution q-learning feature model earliness software engineering web application process monitoring visualization quality reliability decision support predictive analytics earliness. accuracy proactive adaptation keynote architecture gdpr security cloud control flow skills ensemble prediction logistic accuray risk efficiency monitoring

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Andreas Metzger

Présentations

Predictive Process Monitoring Considering Reliability Estimates

Risk-based Proactive Process Adaptation

Predictive Business Process Monitoring considering Reliability and Risk

Big Data Value in Mobility and Logistics

Considering Non-sequential Control Flows for Process Prediction with Recurrent Neural Networks

Towards an End-to-End Architecture for Run-time Data Protection in the Cloud

Data-driven AI for Self-adaptive Information Systems

Proactive Process Adaptation using Deep Learning Ensembles

Big Data Technology Insights

Data-driven Deep Learning for Proactive Terminal Process Management

Data-driven AI for Self-Adaptive Software Systems

Triggering Proactive Business Process Adaptations via Online Reinforcement Learning

Feature Model-Guided Online Reinforcement Learning for Self-Adaptive Services

Antrittsvorlesung - APL.pptx

Explaining Online Reinforcement Learning Decisions of Self-Adaptive Systems

Data Quality Issues in Online Reinforcement Learning for Self-Adaptive Systems (Keynote)

Explainable Online Reinforcement Learning for Adaptive Systems