Efficient analysis of large adaptation spaces in self-adaptive systems using machine learning. - Federico Quin; Danny Weyns; Thomas Bamelis; Sarpreet Singh Buttar; Sam Michiels (SEAMS@ICSE, 2019)

Systematic Approach to Engineer Decentralized Self-adaptive Systems. - Federico Quin (ECSA Companion, 2020)

Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals. - M. Jeroen Van Der Donckt; Danny Weyns; Federico Quin; Jonas Van Der Donckt; Sam Michiels (SEAMS@ICSE, 2020)

Applying Machine Learning in Self-adaptive Systems: A Systematic Literature Review. - Omid Gheibi; Danny Weyns; Federico Quin (ACM Trans. Auton. Adapt. Syst., 2020)

On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems. - Omid Gheibi; Danny Weyns; Federico Quin (SEAMS@ICSE, 2021)

Decentralized Self-Adaptive Systems: A Mapping Study. - Federico Quin; Danny Weyns; Omid Gheibi (SEAMS@ICSE, 2021)

Detecting and Mitigating Jamming Attacks in IoT Networks Using Self-Adaptation. - Maxim Reynvoet; Omid Gheibi; Federico Quin; Danny Weyns (ACSOS-C, 2022)

SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing. - Federico Quin; Danny Weyns (SEAMS, 2022)

Reducing large adaptation spaces in self-adaptive systems using classical machine learning. - Federico Quin; Danny Weyns; Omid Gheibi (J. Syst. Softw., 2022)

Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. - Danny Weyns; Ilias Gerostathopoulos; Barbora Buhnova; Nicolás Cardozo; Emilia Cioroaica; Ivana Dusparic; Lars Grunske; Pooyan Jamshidi; Christine Julien 001; Judith Michael; Gabriel A. Moreno; Shiva Nejati 001; et al. (ACM SIGSOFT Softw. Eng. Notes, 2022)

Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems. - Danny Weyns; Omid Gheibi; Federico Quin; M. Jeroen Van Der Donckt (ACM Trans. Auton. Adapt. Syst., 2022)

Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning. - Federico Quin; Danny Weyns; Omid Gheibi (CoRR, 2023)

Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems. - Danny Weyns; Radu Calinescu; Raffaela Mirandola; Kenji Tei; Maribel Acosta; Amel Bennaceur; Nicolas Boltz; Tomás Bures; Javier Cámara 001; Ada Diaconescu; Gregor Engels; Simos Gerasimou; et al. (ACM SIGSOFT Softw. Eng. Notes, 2023)

Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning. - Federico Quin; Danny Weyns (SEAMS@ICSE, 2024)

A/B testing: A systematic literature review. - Federico Quin; Danny Weyns; Matthias Galster; Camila Mariane C. Silva (J. Syst. Softw., 2024)