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Milad Abdullah
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2020 – today
- 2024
- [c8]Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures:
ExpEngine: A Tool for Data Analytics Workflow Optimization Through User-Driven Experimentation. ACSOS-C 2024: 182-183 - [c7]Milad Abdullah, Michal Töpfer, Tomás Bures:
Robin: A Systematic Literature Mapping Management Tool. SEAA 2024: 284-287 - 2023
- [j1]Michal Töpfer
, Milad Abdullah
Machine-learning abstractions for component-based self-optimizing systems. Int. J. Softw. Tools Technol. Transf. 25(5): 717-731 (2023) - [c6]Milad Abdullah
Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations. SEAA 2023: 86-93 - [i1]Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis:
Ensemble-based modeling abstractions for modern self-optimizing systems. CoRR abs/2309.05823 (2023) - 2022
- [c5]Michal Töpfer
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components. ACSOS-C 2022: 66-69 - [c4]Milad Abdullah
Controlling Automatic Experiment-Driven Systems Using Statistics and Machine Learning. ECSA (Tracks and Workshops) 2022: 105-119 - [c3]Milad Abdullah
Introducing Estimators - Abstraction for Easy ML Employment in Self-adaptive Architectures. ECSA (Tracks and Workshops) 2022: 370-385 - [c2]Milad Abdullah
Reducing Experiment Costs in Automated Software Performance Regression Detection. SEAA 2022: 56-59 - [c1]Michal Töpfer
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems. ISoLA (3) 2022: 318-334
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