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

The program is currently displayed in (UTC) Coordinated Universal Time.

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Session Program

Mon 29 Jun
Times are displayed in time zone: (UTC) Coordinated Universal Time change

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

	16:00 - 16:05 Talk		A Hybrid Approach Combining Control Theory and AI for Engineering Self-Adaptive SystemsTechnical SEAMS 2020 Ricardo CaldasChalmers, Arthur RodriguesUniversity of Brası́lia, Eric Bernd GilUniversity of Brasilia, Genaína Nunes RodriguesUniversity of Brasília, Thomas VogelHumboldt-Universität zu Berlin, Patrizio PelliccioneUniversity of L'Aquila and Chalmers \| University of Gothenburg DOI Pre-print Media Attached
	16:05 - 16:10 Talk		Applying Deep Learning to Reduce Large Adaptation Spaces of Self-Adaptive Systems with Multiple Types of GoalsTechnical SEAMS 2020 Jeroen Van Der DoncktKU Leuven, Danny WeynsKU Leuven, Federico QuinKatholieke Universiteit Leuven, Jonas Van Der DoncktGhent University, Sam MichielsKatholieke Universiteit Leuven Pre-print Media Attached
	16:10 - 16:15 Talk		Towards Classes of Architectural Dependability Assurance of Machine Learning Based SystemsNIER SEAMS 2020 Max ScheererFZI Research Center for Information Technology, Germany, Jonas KlamrothFZI Research Center for Information Technology, Germany, Ralf ReussnerKarlsruhe Institute of Technology (KIT) and FZI - Research Center for Information Technology (FZI), Bernhard BeckertKarlsruhe Institute of Technology Media Attached
	16:15 - 16:20 Talk		A Framework for the Analysis of Adaptive Systems Using Bayesian StatisticsNIER SEAMS 2020 Yuning HeNASA Ames, Johann SchumannNASA Ames Media Attached
	16:20 - 17:20 Other		Q&A and Discussion (Session 1) SEAMS 2020