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University of Groningen
Nijenborgh 9
9747 AG Groningen
The Netherlands

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2016

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  1. Jafarian, M., Scherpen, J., & Aiello, M. (2016). A price-based approach for voltage regulation and power loss minimization for the electrical power distribution system. 55th IEEE Conference on Decision and Control, 680–685. https://doi.org/10.1109/CDC.2016.7798347
  2. Groefsema, H. (2016). Business Process Variability: a study into process management and verification [PhD thesis, Rijksuniversiteit Groningen]. https://research.rug.nl/en/publications/business-process-variability-a-study-into-process-management-and-
  3. Iqbal, A., Javed, U., Saleh, S., Kim, J., Alowibdi, J. S., & Ilyas, M. U. (2016). Analytical Modeling of End-to-End Delay in OpenFlow Based Networks. IEEE Access, 5, 6859–6871. https://doi.org/10.1109/ACCESS.2016.2636247
  4. Sumba, X., Sumba, F., Tello, A., Baculima, F., Espinoza, M., & Saquicela, V. (2016). Detecting similar areas of knowledge using semantic and data mining technologies. Electronic Notes in Theoretical Computer Science, 329, 149–167.
  5. Gualán, R., Freire, R., Tello, A., Espinoza, M., & Saquicela Vı́ctor. (2016). Automatic RDF-ization of big data semi-structured datasets. Maskana, 7, 117–127.
  6. Abdi, S., Aftab, U., Bailey, G., Boughzala, B., Dewal, F., Parsazad, S., & Tremblay, E. (2016). Pfpsim: A programmable forwarding plane simulator. 2016 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 55–60.
  7. Vakili, S., Langlois, J. M. P., Boughzala, B., & Savaria, Y. (2016). Memory-efficient string matching for intrusion detection systems using a high-precision pattern grouping algorithm. Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems, 37–42.
  8. Bahnasy, M., Boughzala, B., Elbiaze, H., Alleyne, B., Beliveau, A., & Padala, C. (2016). Proactive ethernet congestion control based on link utilization estimation. 2016 International Conference on Computing, Networking and Communications (Icnc), 1–6.
  9. AlSafwan, K., AlShaer, F., Hakami, L., Aseeri, K., AlJishi, M., & Düştegör, D. (2016). Design and implementation of a residential energy monitoring system prototype tailored to meet local needs. International Journal of Computing and Digital Systems, 5(4). https://doi.org/10.12785/IJCDS/050405
  10. Nizamic, F. (2016). A Smart Energy System for Sustainable Buildings: The Case of the Bernoulliborg [PhD thesis, Rijksuniversiteit Groningen]. https://www.rug.nl/research/portal/files/28259486/Complete_thesis.pdf
  11. Aiello, M., Johnsen, E. B., Dustdar, S., & Georgievski, I. (Eds.). (2016). 5th IFIP WG 2.14 European Conference Service-Oriented and Cloud Computing (Vol. 9846). Springer. http://dx.doi.org/10.1007/978-3-319-44482-6
  12. Georgievski, I., & Aiello, M. (2016). Automated planning for ubiquitous computing. ACM Comput. Surv., 49(4), 63:1–63:46. http://doi.acm.org/10.1145/3004294
  13. van der Krieke, L., Blaauw, F. J., Emerencia, A. C., Schenk, M. H. M., Slaets, J. P. J., Bos, E. H., de Jonge, P., & Jeronimus, B. F. (2016). Temporal dynamics of health and well-being: A crowdsourcing approach to momentary assessments and automated generation of personalized feedback. Psychosomatic Medicine.
  14. Blaauw, F. J., Schenk, H. M., Jeronimus, B. F., van der Krieke, L., de Jonge, P., Aiello, M., & Emerencia, A. C. (2016). Let’s get Physiqual - an intuitive and generic method to combine ssensor technology with ecological momentary assessments. Journal of Biomedical Informatics, 63, 141–149. http://dx.doi.org/10.1016/j.jbi.2016.08.001
  15. Sha, A., & Aiello, M. (2016). A Novel Strategy for Optimising Decentralised Energy Exchange for Prosumers. Energies, 9(7), 554. http://dx.doi.org/10.3390/en9070554
  16. Kaldeli, E., Lazovik, A., & Aiello, M. (2016). Domain-Independent Planning for Services in Uncertain and Dynamic Environments. Artificial Intelligence, 236(7), 30–64. http://www.sciencedirect.com/science/article/pii/S000437021630025X
  17. Pagani, G. A., & Aiello, M. (2016). From the grid to the smart grid, topologically. Physica A, 449(5), 160–175. https://doi.org/10.1016/j.physa.2015.12.080
  18. Bucur, D., Iacca, G., Gaudesi, M., Squillero, G., & Tonda, A. (2016). Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms. Applied Soft Computing, 40, 416–426. http://dx.doi.org/10.1016/j.asoc.2015.11.024
  19. Setz, B., Nizamic, F., Lazovik, A., & Aiello, M. (2016). Power Management of Personal Computers based on User Behaviour. International Conference on Smart Cities and Green ICT Systems, 409–416. http://dx.doi.org/10.5220/0005762604090416
  20. Bucur, D., & Iacca, G. (2016). Influence Maximization in Social Networks with Genetic Algorithms. European Conference on the Applications of Evolutionary and Bio-Inspired Computation (Evo* EvoApplications), Track EvoComplex: Evolutionary Algorithms and Complex Systems, 379–392. https://www.dropbox.com/s/z4ylz5njruamon3/man.pdf?dl=0
  21. de Bruijn, B., Nguyen, T. A., Bucur, D., & Tei, K. (2016). Benchmark Datasets for Fault Detection and Classification in Sensor Data. International Conference on Sensor Networks, 185–195. http://dx.doi.org/10.5220/0005637901850195
  22. Georgievski, I., & Bouman, T. (2016). On the relationship between automation and occupants in smart buildings. International Conference on ICT for Sustainability, 240–241. http://www.atlantis-press.com/php/download_paper.php?id=25860395
  23. Baqapuri, A. I., Saleh, S., Ilyas, M. U., Khan, M. M., & Qamar, A. M. (2016). Sentiment Classification of Tweets using Hierarchical Classification. International Conference on Communications, 1–7. https://doi.org/10.1109/ICC.2016.7511391
  24. Raja, H., Ilyas, M. U., Saleh, S., Liu, A. X., & Radha, H. (2016). Detecting National Political Unrest on Twitter. International Conference on Communications, 1–7. https://doi.org/10.1109/ICC.2016.7511393