Federico Quin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Population Size

Adaptive Systems

Machine Learning

Top Venues

J. Syst. Softw.

ACM Trans. Auton. Adapt. Syst.

Publications

Federico Quin, Danny Weyns, Matthias Galster, Camila Mariane C. Silva
A/B testing: A systematic literature review. J. Syst. Softw. 211 (2024)
Federico Quin, Danny Weyns
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning. SEAMS@ICSE (2024)
Federico Quin, Danny Weyns
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning. CoRR (2023)
Federico Quin, Danny Weyns, Omid Gheibi
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning. CoRR (2023)
Federico Quin, Danny Weyns, Matthias Galster, Camila Mariane Costa Silva
A/B Testing: A Systematic Literature Review. CoRR (2023)
Danny Weyns, Radu Calinescu, Raffaela Mirandola, Kenji Tei, Maribel Acosta, Amel Bennaceur, Nicolas Boltz, Tomás Bures, Javier Cámara, Ada Diaconescu, Gregor Engels, Simos Gerasimou, Ilias Gerostathopoulos, Sinem Getir Yaman, Vincenzo Grassi, Sebastian Hahner, Emmanuel Letier, Marin Litoiu, Lina Marsso, Angelika Musil, Juergen Musil, Genaína Nunes Rodrigues, Diego Perez-Palacin, Federico Quin, Patrizia Scandurra, Antonio Vallecillo, Andrea Zisman
Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems. ACM SIGSOFT Softw. Eng. Notes 48 (4) (2023)
Federico Quin, Danny Weyns
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing. SEAMS (2022)
Maxim Reynvoet, Omid Gheibi, Federico Quin, Danny Weyns
Detecting and Mitigating Jamming Attacks in IoT Networks Using Self-Adaptation. ACSOS-C (2022)
Federico Quin, Danny Weyns, Omid Gheibi
Reducing large adaptation spaces in self-adaptive systems using classical machine learning. J. Syst. Softw. 190 (2022)
Federico Quin, Danny Weyns
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing. CoRR (2022)
Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive Systems. CoRR (2022)
Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems. ACM Trans. Auton. Adapt. Syst. 17 (2022)
Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes 47 (4) (2022)
Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR (2022)
Omid Gheibi, Danny Weyns, Federico Quin
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review. CoRR (2021)
Omid Gheibi, Danny Weyns, Federico Quin
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems. SEAMS@ICSE (2021)
Omid Gheibi, Danny Weyns, Federico Quin
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems. CoRR (2021)
Federico Quin, Danny Weyns, Omid Gheibi
Decentralized Self-Adaptive Systems: A Mapping Study. SEAMS@ICSE (2021)
Federico Quin, Danny Weyns, Omid Gheibi
Decentralized Self-Adaptive Systems: A Mapping Study. CoRR (2021)
Federico Quin
Systematic Approach to Engineer Decentralized Self-adaptive Systems. ECSA Companion (2020)
M. Jeroen Van Der Donckt, Danny Weyns, Federico Quin, Jonas Van Der Donckt, Sam Michiels
Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals. SEAMS@ICSE (2020)
Omid Gheibi, Danny Weyns, Federico Quin
Applying Machine Learning in Self-adaptive Systems: A Systematic Literature Review. ACM Trans. Auton. Adapt. Syst. 15 (3) (2020)
Federico Quin, Danny Weyns, Thomas Bamelis, Sarpreet Singh Buttar, Sam Michiels
Efficient analysis of large adaptation spaces in self-adaptive systems using machine learning. SEAMS@ICSE (2019)