Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs M Casimiro, D Didona, P Romano, L Rodrigues, W Zwaenepoel, D Garlan The 40th International Conference on Distributed Computing Systems (ICDCS 20), 2020 | 37* | 2020 |
Self-Adaptation for Machine Learning Based Systems. M Casimiro, P Romano, D Garlan, GA Moreno, E Kang, M Klein ECSA (Companion), 2021 | 26 | 2021 |
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling P Mendes, M Casimiro, P Romano, D Garlan 2020 28th International Symposium on Modeling, Analysis, and Simulation of …, 2020 | 21 | 2020 |
A quest for inspiration: How users create and reuse PINs M Casimiro, J Segel, L Li, Y Wang, LF Cranor Who Are You, 1-7, 2020 | 10 | 2020 |
Hyperjump: Accelerating hyperband via risk modelling P Mendes, M Casimiro, P Romano, D Garlan Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9143-9152, 2023 | 8 | 2023 |
Towards a Framework for Adapting Machine Learning Components M Casimiro, P Romano, D Garlan, L Rodrigues 2022 IEEE International Conference on Autonomic Computing and Self …, 2022 | 8 | 2022 |
A probabilistic model checking approach to self-adapting machine learning systems M Casimiro, D Garlan, J Cámara, L Rodrigues, P Romano International Conference on Software Engineering and Formal Methods, 317-332, 2021 | 6 | 2021 |
Self-adaptive machine learning systems: Research challenges and opportunities M Casimiro, P Romano, D Garlan, GA Moreno, E Kang, M Klein European Conference on Software Architecture, 133-155, 2021 | 6 | 2021 |
Self-Adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework M Casimiro, D Soares, D Garlan, L Rodrigues, P Romano ACM Transactions on Autonomous and Adaptive Systems, 2024 | 4 | 2024 |
Lynceus: Long-Sighted, Budget-Aware Online Tuning of Cloud Applications M da Loura Casimiro | | 2018 |
Reduzindo o Custo de Explorar Configuraçoes para Execuçao de Aplicaçoes na Nuvem M Casimiro, D Didona, P Romano, L Rodrigues, W Zwanepoel | | |