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2020 – today
- 2024
[j1]Maria Casimiro, Diogo Soares, David Garlan, Luís Rodrigues, Paolo Romano:
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework. ACM Trans. Auton. Adapt. Syst. 19(3): 18:1-18:30 (2024)- 2023
- [c7]Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan:
HyperJump: Accelerating HyperBand via Risk Modelling. AAAI 2023: 9143-9152 - 2022
- [c6]Maria Casimiro, Paolo Romano, David Garlan, Luís Rodrigues:
Towards a Framework for Adapting Machine Learning Components. ACSOS 2022: 131-140 - 2021
- [c5]Maria Casimiro, Paolo Romano, David Garlan, Gabriel A. Moreno, Eunsuk Kang, Mark Klein:
Self-Adaptation for Machine Learning Based Systems. ECSA (Companion) 2021 - [c4]Maria Casimiro, Paolo Romano, David Garlan, Gabriel A. Moreno, Eunsuk Kang, Mark Klein:
Self-adaptive Machine Learning Systems: Research Challenges and Opportunities. ECSA (Tracks and Workshops) 2021: 133-155 - [c3]Maria Casimiro, David Garlan, Javier Cámara, Luís Rodrigues, Paolo Romano:
A Probabilistic Model Checking Approach to Self-adapting Machine Learning Systems. SEFM Workshops 2021: 317-332 - [i3]Pedro Mendes
, Maria Casimiro, Paolo Romano:
HyperJump: Accelerating HyperBand via Risk Modelling. CoRR abs/2108.02479 (2021) - 2020
- [c2]Maria Casimiro, Diego Didona, Paolo Romano, Luís E. T. Rodrigues, Willy Zwaenepoel, David Garlan:
Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs. ICDCS 2020: 56-66 - [c1]Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan:
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling. MASCOTS 2020: 1-8 - [i2]Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan:
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling. CoRR abs/2011.04726 (2020)
2010 – 2019
- 2019
- [i1]Maria Casimiro, Diego Didona, Paolo Romano, Luís E. T. Rodrigues, Willy Zwaenepoel:
Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget. CoRR abs/1905.02119 (2019)
Coauthor Index
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