Milad Abdullah

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 8

Top Topics

Statistics And Machine Learning

Neural Architectures

Linear Regression

Top Venues

ECSA (Tracks and Workshops)

Publications

Milad Abdullah, Lubomír Bulej, Tomás Bures, Vojtech Horký, Petr Tuma
Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations. SEAA (2023)
Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis
Ensemble-based modeling abstractions for modern self-optimizing systems. CoRR (2023)
Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis
Machine-learning abstractions for component-based self-optimizing systems. Int. J. Softw. Tools Technol. Transf. 25 (5) (2023)
Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems. ISoLA (3) (2022)
Milad Abdullah, Lubomír Bulej, Tomás Bures, Petr Hnetynka, Vojtech Horký, Petr Tuma
Reducing Experiment Costs in Automated Software Performance Regression Detection. SEAA (2022)
Milad Abdullah
Controlling Automatic Experiment-Driven Systems Using Statistics and Machine Learning. ECSA (Tracks and Workshops) (2022)
Milad Abdullah, Michal Töpfer, Tomás Bures, Petr Hnetynka, Martin Krulis, Frantisek Plásil
Introducing Estimators - Abstraction for Easy ML Employment in Self-adaptive Architectures. ECSA (Tracks and Workshops) (2022)
Michal Töpfer, Milad Abdullah, Martin Krulis, Tomás Bures, Petr Hnetynka
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components. ACSOS-C (2022)