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ORCIDFederico Quin
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2020 – today
- 2024
[j6]Federico Quin
, Danny Weyns, Matthias Galster, Camila Mariane C. Silva:
A/B testing: A systematic literature review. J. Syst. Softw. 211: 112011 (2024)- [c8]Federico Quin, Danny Weyns:
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning. SEAMS@ICSE 2024: 84-97 - 2023
- [j5]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): 20-36 (2023) - [i9]Federico Quin, Danny Weyns, Omid Gheibi:
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning. CoRR abs/2306.01404 (2023) - [i8]Federico Quin, Danny Weyns:
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning. CoRR abs/2306.01407 (2023) - [i7]Federico Quin, Danny Weyns, Matthias Galster, Camila Mariane Costa Silva:
A/B Testing: A Systematic Literature Review. CoRR abs/2308.04929 (2023) - 2022
- [j4]Federico Quin, Danny Weyns, Omid Gheibi:
Reducing large adaptation spaces in self-adaptive systems using classical machine learning. J. Syst. Softw. 190: 111341 (2022) - [j3]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): 18-24 (2022) - [j2]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: 1:1-1:42 (2022) - [c7]Maxim Reynvoet, Omid Gheibi, Federico Quin, Danny Weyns:
Detecting and Mitigating Jamming Attacks in IoT Networks Using Self-Adaptation. ACSOS-C 2022: 7-12 - [c6]Federico Quin, Danny Weyns:
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing. SEAMS 2022: 77-83 - [i6]Federico Quin, Danny Weyns:
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing. CoRR abs/2204.01343 (2022) - [i5]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 abs/2204.06254 (2022) - [i4]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 abs/2206.12492 (2022) - 2021
- [c5]Federico Quin, Danny Weyns, Omid Gheibi:
Decentralized Self-Adaptive Systems: A Mapping Study. SEAMS@ICSE 2021: 18-29 - [c4]Omid Gheibi, Danny Weyns, Federico Quin:
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems. SEAMS@ICSE 2021: 104-110 - [i3]Omid Gheibi, Danny Weyns, Federico Quin:
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review. CoRR abs/2103.04112 (2021) - [i2]Federico Quin, Danny Weyns, Omid Gheibi:
Decentralized Self-Adaptive Systems: A Mapping Study. CoRR abs/2103.09074 (2021) - [i1]Omid Gheibi, Danny Weyns, Federico Quin:
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems. CoRR abs/2103.10194 (2021) - 2020
- [j1]Omid Gheibi, Danny Weyns, Federico Quin:
Applying Machine Learning in Self-adaptive Systems: A Systematic Literature Review. ACM Trans. Auton. Adapt. Syst. 15(3): 9:1-9:37 (2020) - [c3]Federico Quin:
Systematic Approach to Engineer Decentralized Self-adaptive Systems. ECSA Companion 2020: 38-50 - [c2]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: 20-30
2010 – 2019
- 2019
- [c1]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: 1-12
Coauthor Index
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