Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget. - Maria Casimiro; Diego Didona; Paolo Romano 002; Luís E. T. Rodrigues; Willy Zwaenepoel (CoRR, 2019)

Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs. - Maria Casimiro; Diego Didona; Paolo Romano 002; Luís E. T. Rodrigues; Willy Zwaenepoel; David Garlan (ICDCS, 2020)

TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling. - Pedro Mendes; Maria Casimiro; Paolo Romano 002; David Garlan (MASCOTS, 2020)

Self-Adaptation for Machine Learning Based Systems. - Maria Casimiro; Paolo Romano 002; David Garlan; Gabriel A. Moreno; Eunsuk Kang; Mark Klein 003 (ECSA (Companion), 2021)

Self-adaptive Machine Learning Systems: Research Challenges and Opportunities. - Maria Casimiro; Paolo Romano 002; David Garlan; Gabriel A. Moreno; Eunsuk Kang; Mark Klein 003 (ECSA (Tracks and Workshops), 2021)

A Probabilistic Model Checking Approach to Self-adapting Machine Learning Systems. - Maria Casimiro; David Garlan; Javier Cámara 001; Luís Rodrigues 001; Paolo Romano 002 (SEFM Workshops, 2021)

HyperJump: Accelerating HyperBand via Risk Modelling. - Pedro Mendes; Maria Casimiro; Paolo Romano 002 (CoRR, 2021)

Towards a Framework for Adapting Machine Learning Components. - Maria Casimiro; Paolo Romano 002; David Garlan; Luís Rodrigues 001 (ACSOS, 2022)

HyperJump: Accelerating HyperBand via Risk Modelling. - Pedro Mendes; Maria Casimiro; Paolo Romano 002; David Garlan (AAAI, 2023)

Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework. - Maria Casimiro; Diogo Soares; David Garlan; Luís Rodrigues 001; Paolo Romano 002 (ACM Trans. Auton. Adapt. Syst., 2024)

Flexico: Sustainable Machine Translation via Self-Adaptation. - Maria Casimiro; Paolo Romano 002; José G. C. De Souza; Amin M. Khan; David Garlan (SEAMS@ICSE, 2025)