-
Willemsen, F.-J., van Nieuwpoort, R., & van Werkhoven, B. (2021). Bayesian Optimization for auto-tuning GPU kernels. In 2021 International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS 2021): St. Louis, Missouri, USA, 15 November 2021 (pp. 106-117). IEEE. https://doi.org/10.1109/PMBS54543.2021.00017 -
Karandikar, N., Abhishek, R., Saurabh, N., Zhao, Z., Lercher, A., Marina, N., Prodan, R., Rong, C., & Chakravorty, A. (2021). Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering. Blockchain: Research and Applications, 2(2), Article 100016. https://doi.org/10.1016/j.bcra.2021.100016
-
Saurabh, N., Rubia, C., Palanisamy, A., Koulouzis, S., Sefidanoski, M., Chakravorty, A., Zhao, Z., Karadimce, A., & Prodan, R. (2021). The ARTICONF approach to decentralized car-sharing. Blockchain: Research and Applications, 2(3), Article 100013. https://doi.org/10.1016/j.bcra.2021.100013
-
Grosso, P., Hesselman, C., Hendriks, L., Hill, J., Konstantaras, S., van der Pol, R., Reijs, V., de Ruiter, J., & Schutijser, C. (2021). A National Programmable Infrastructure to Experiment with Next-Generation Networks. In T. Ahmed, O. Festor, Y. Ghamri-Doudane, J.-M. Kang, A. E. Schaeffer-Filho, A. Lahmadi, & E. Madeira (Eds.), Proceedings of the IM 2021: 2021 IFIP/IEEE International Symposium on Integrated Network Management : 17-21 May 2021, Bordeaux, France, virtual conference (pp. 778-782). IEEE. https://ieeexplore.ieee.org/document/9464003
-
Mesarcik, M., Boonstra, A.-J., Meijer, C., Jansen, W., Ranguelova, E., & van Nieuwpoort, R. V. (2020). LOFAR dataset for deep learning assisted data Inspection for radio astronomy [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3702430
-
Shi, Z., Zhou, H., Koulouzis, S., Rubia, C., & Zhao, Z. (2020). Co-located and Orchestrated Network Fabric (CONF): An Automated Cloud Virtual Infrastructure for Social Network Applications. In U. Schwardmann, C. Boehme, & D. B. Heras (Eds.), Euro-Par 2019: Parallel Processing Workshops: Euro-Par 2019 International Workshops, Göttingen, Germany, August 26–30, 2019 : revised selected papers (pp. 464-475). (Lecture Notes in Computer Science; Vol. 11997). Springer. https://doi.org/10.1007/978-3-030-48340-1_36
-
Papagianni, C., Mangues-Bafalluy, J., Bermudez, P., Barmpounakis, S., De Vleeschauwer, D., Brenes, J., Zeydan, E., Casetti, C., Guimarães, C., Murillo, P., Garcia-Saavedra, A., Corujo, D., & Pepe, T. (2020). 5Growth: AI-driven 5G for automation in vertical industries. In 2020 European Conference on Networks and Communications (EuCNC): Dubrovnik, Croatia, 15-18 June 2020 (pp. 17-22). IEEE. https://doi.org/10.1109/EuCNC48522.2020.9200919
-
Torkzaban, N., Gholami, A., Baras, J. S., & Papagianni, C. (2020). Joint Satellite Gateway Placement and Routing for Integrated Satellite-Terrestrial Networks. In 2020 IEEE International Conference on Communications: proceedings : Dublin, Ireland, 7-11 June 2020 (pp. 1048-1053). (ICC). IEEE. https://doi.org/10.1109/ICC40277.2020.9149175
-
Baranowski, M., Belloum, A., Cushing, R., & Valkering, O. (2020). Cookery: A framework for creating data processing pipeline using online services. Computing and Informatics, 39(4), 678-694. https://doi.org/10.31577/CAI_2020_4_678
-
Cushing, R., Valkering, O., Belloum, A., Madougou, S., Bobak, M., Habala, O., Tran, V., Meizner, J., Nowakowski, P., Graziani, M., & Müller, H. (2020). Process data infrastructure and data services. Computing and Informatics, 39(4), 724-756. https://doi.org/10.31577/CAI_2020_4_724
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