M. Abdullah:
Controlling Automatic Experiment-Driven Systems Using Statistics and Machine Learning, in Software Architecture. ECSA 2022 Tracks and Workshops, pp. 105-119, 2023
ISBN: 9783031368882 9783031368899
M. Abdullah, M. Töpfer, T. Bureš, P. Hnětynka, M. Kruliš, F. Plášil:
Introducing Estimators—Abstraction for Easy ML Employment in Self-adaptive Architectures, in Proceedings of ECSA 2022 Tracks and Workshops, pp. 370-385, 2023
DOI: 10.1007/978-3-031-36889-9_25
M. Töpfer, M. Abdullah, T. Bureš, P. Hnětynka, M. Kruliš:
Machine-learning abstractions for component-based self-optimizing systems, in International Journal on Software Tools for Technology Transfer 25, pp. 717–731, 2023
DOI: 10.1007/s10009-023-00726-x
M. Töpfer, M. Abdullah, T. Bureš, P. Hnětynka, M. Kruliš:
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems, in Proceedings of ISOLA 2022, Rhodes, Greece, pp. 318-334, 2022
DOI: 10.1007/978-3-031-19759-8_20
M. Töpfer, M. Abdullah, M. Kruliš, T. Bureš, P. Hnětynka:
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components, in Proceedings of ACSOS 2022, Virtual event, 2022
DOI: 10.1109/ACSOSC56246.2022.00033
M. Abdullah, L. Bulej, T. Bureš, P. Hnětynka, V. Horký, P. Tůma:
Reducing Experiment Costs in Automated Software Performance Regression Detection, in 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 56-59, 2022
ISBN: 978-1-66546-152-8, DOI: 10.1109/SEAA56994.2022.00017
M. Abdullah, K. Kolo, P. Aspoukeh, R. Hamad, J. Bailey:
Time Series Modelling and Simulating the Lockdown Scenarios of COVID-19 in Kurdistan Region of Iraq, in The Journal of Infection in Developing Countries 15(03), pp. 370-381, 2021
DOI: 10.3855/jidc.13993