SEAMS 2020
Mon 29 June - Fri 3 July 2020
co-located with ICSE 2020
Mon 29 Jun 2020 16:10 - 16:15 at SEAMS - Session 1: AI, Machine Learning and Statistics Chair(s): Pooyan Jamshidi

Mon 29 Jun

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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