prof.dr.ir. Boudewijn Haverkort

Haverkort, B. R. (2021). Performance Evaluation: Model-Driven or Problem-Driven? In A. Abate, & A. Marin (Eds.), Quantitative Evaluation of Systems - 18th International Conference, QEST 2021, Proceedings (pp. 3-11). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12846 LNCS). Springer Science and Business Media Deutschland GmbH.

Van Den Brand, M., Cleophas, L., Gunasekaran, R., Haverkort, B., Negrin, D. A. M., & Muctadir, H. M. (2021). Models Meet Data: Challenges to Create Virtual Entities for Digital Twins. 225-228. Paper presented at 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C).

Haverkort, B. R., Finkbeiner, F., & De Boer, P. T. (2020). Machine learning data center workloads using generative adversarial networks. Performance Evaluation Review, 48(2), 21-23.

Ozceylan, B., Haverkort, B. R., De Graaf, M., & Gerards, M. E. T. (2020). Improving Temperature Prediction Accuracy Using Kalman and Particle Filtering Methods. In 2020 26th International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2020 - Proceedings [9420535] (2020 26th International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

van den Berg, F., & Haverkort, B. R. (2020). A tool for requirements analysis of safety-critical cyber-physical systems. In H. Hermanns, & H. Hermanns (Eds.), Measurement, Modelling and Evaluation of Computing Systems - 20th International GI/ITG Conference, MMB 2020, Proceedings (pp. 242-258). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12040 LNCS). Springer.