Maria Casimiro

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Machine Learning

Efficient Optimization

Pspace Complete

Top Venues

Publications

Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan
HyperJump: Accelerating HyperBand via Risk Modelling. AAAI (2023)
Maria Casimiro, Paolo Romano, David Garlan, Luís Rodrigues
Towards a Framework for Adapting Machine Learning Components. ACSOS (2022)
Maria Casimiro, Paolo Romano, David Garlan, Gabriel A. Moreno, Eunsuk Kang, Mark Klein
Self-Adaptation for Machine Learning Based Systems. ECSA (Companion) (2021)
Maria Casimiro, David Garlan, Javier Cámara, Luís Rodrigues, Paolo Romano
A Probabilistic Model Checking Approach to Self-adapting Machine Learning Systems. SEFM Workshops (2021)
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)
Pedro Mendes, Maria Casimiro, Paolo Romano
HyperJump: Accelerating HyperBand via Risk Modelling. CoRR (2021)
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)
Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling. MASCOTS (2020)
Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling. CoRR (2020)
Maria Casimiro, Diego Didona, Paolo Romano, Luís E. T. Rodrigues, Willy Zwaenepoel
Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget. CoRR (2019)