Applying Deep Learning to Reduce Large Adaptation Spaces of Self-Adaptive Systems with Multiple Types of Goals (SEAMS 2020 - 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems)

Who

Jeroen Van Der Donckt, Danny Weyns, Federico Quin, Jonas Van Der Donckt, Sam Michiels

Track

SEAMS 2020

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When

Mon 29 Jun 2020 16:05 - 16:10 at SEAMS - Session 1: AI, Machine Learning and Statistics Chair(s): Pooyan Jamshidi

Link to Preprint

https://people.cs.kuleuven.be/danny.weyns/papers/2020SEAMSa.pdf

Jeroen Van Der Donckt

KU Leuven

Belgium

Danny Weyns

KU Leuven

Belgium

Federico Quin

Katholieke Universiteit Leuven

Belgium

Jonas Van Der Donckt

Ghent University

Sam Michiels

Katholieke Universiteit Leuven

Applying Deep Learning to Reduce Large Adaptation Spaces of Self-Adaptive Systems with Multiple Types of Goals

Time Zone

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Session Program

Mon 29 Jun
Displayed time zone: (UTC) Coordinated Universal Time change

16:00 - 17:30	Session 1: AI, Machine Learning and StatisticsSEAMS 2020 at SEAMS Chair(s): Pooyan Jamshidi University of South Carolina

16:00 5m Talk		A Hybrid Approach Combining Control Theory and AI for Engineering Self-Adaptive SystemsTechnical SEAMS 2020 Ricardo Caldas Chalmers, Arthur Rodrigues University of Brası́lia, Eric Bernd Gil University of Brasilia, Genaína Nunes Rodrigues University of Brasília, Thomas Vogel Humboldt-Universität zu Berlin, Patrizio Pelliccione University of L'Aquila and Chalmers \| University of Gothenburg DOI Pre-print Media Attached
16:05 5m Talk		Applying Deep Learning to Reduce Large Adaptation Spaces of Self-Adaptive Systems with Multiple Types of GoalsTechnical SEAMS 2020 Jeroen Van Der Donckt KU Leuven, Danny Weyns KU Leuven, Federico Quin Katholieke Universiteit Leuven, Jonas Van Der Donckt Ghent University, Sam Michiels Katholieke Universiteit Leuven Pre-print Media Attached
16:10 5m Talk		Towards Classes of Architectural Dependability Assurance of Machine Learning Based SystemsNIER SEAMS 2020 Max Scheerer FZI Research Center for Information Technology, Germany, Jonas Klamroth FZI Research Center for Information Technology, Germany, Ralf Reussner Karlsruhe Institute of Technology (KIT) and FZI - Research Center for Information Technology (FZI), Bernhard Beckert Karlsruhe Institute of Technology Media Attached
16:15 5m Talk		A Framework for the Analysis of Adaptive Systems Using Bayesian StatisticsNIER SEAMS 2020 Yuning He NASA Ames, Johann Schumann NASA Ames Media Attached
16:20 60m Other		Q&A and Discussion (Session 1) SEAMS 2020