2019

Filters

1. Kan, K., Jorg, F., Wardenaar, K. J., Blaauw, F. J., Visser, E., Buskens, E., Mulder, H., Cath, D., Doornbos, B., Schoevers, R. A., & Feenstra, T. (2019, November). Development of a decision-aid for patients with depression considering treatment options: prediction of treatment response using a data-driven approach. ISPOR Europe 2019, Copenhagen, Denmark. https://www.ispor.org/conferences-education/conferences/upcoming-conferences/ispor-europe-2019/program/program
2. Fiorini, L., & Aiello, M. (2019). Predictive CO2-Efficient Scheduling of Hybrid Electric and Thermal Loads. 2019 IEEE International Conference on Energy Internet (ICEI), 392–397.
3. Haghshenas, K., Pahlevan, A., Zapater, M., & Atienza, D. (2019). MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Transactions on Services Computing, 15, 30–44. https://doi.org/10.1109/TSC.2019.2919555
4. Blaauw, F. J., Overbeek, R., Albers, T., Vlek, J., Maessen, M., Gooijer, J., Lazovik, E., Arbab, F., & Lazovik, A. (2019, March). ECiDA: Evolutionary Changes in Data Analysis. ICT.Open, Hilversum, The Netherlands. https://www.nwo.nl/actueel/evenementen/ict+open
5. Bastiaansen, J. A., Kunkels, Y. K., Blaauw, F. J., Boker, S. M., Ceulemans, E., Chen, M., Chow, S., de Jonge, P., Emerencia, A. C., Epskamp, S., & et al. (2019). Time to get personal? The impact of researchers’ choices on the selection of treatment targets using the experience sampling methodology. PsyArXiv. https://doi.org/10.31234/osf.io/c8vp7
6. van Beest, N. R. T. P., Groefsema, H., Garcia-Banuelos, L., & Aiello, M. (2019). Variability in business processes: Automatically obtaining a generic specification. Information Systems, 80, 36–55. https://doi.org/10.1016/j.is.2018.09.005
7. Robles, P., Tello, A., Solano-Quinde, L., & Zúñiga-Prieto, M. (2019). Temporal Analysis of 911 Emergency Calls Through Time Series Modeling. The International Conference on Advances in Emerging Trends and Technologies, 136–145.
8. Tello, A., Izquierdo, I., Pacheco, G., & Vanegas, P. (2019). Prediction of Imports of Household Appliances in Ecuador Using LSTM Networks. Conference on Information Technologies and Communication of Ecuador, 194–207.
9. Düştegör, D., Farooqui, M., & Khan, M. A. A. (2019). Fostering higher cognitive skills through design thinking in digital hardware course: A case study. ICIC Express Letters, 13(10). https://doi.org/10.24507/icicel.13.10.891
10. Düştegör, D. (2019). Analytical tool for the modelling and simulation of curriculum: Towards automated design, assessment, and improvement. International Journal of Engineering Education, 35(2).
11. Blaauw, F. J., van der Gaag, M. A. E., Snell, N. R., Emerencia, A. C., Kunnen, E. S., & de Jonge, P. (2019). The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants. Frontiers in Psychology, 10, 1808. https://doi.org/10.3389/fpsyg.2019.01808
12. Fiorini, L., & Aiello, M. (2019). Energy management for user’s thermal and power needs: A survey. Energy Reports, 5, 1048–1076. https://doi.org/https://doi.org/10.1016/j.egyr.2019.08.003
13. Yousefi, M. H. N., Goudarzi, M., & Motahari, S. A. (2019). IMOS: improved meta-aligner and Minimap2 on spark. BMC Bioinformatics, 20(1), 1–14.
14. Pratama, A. R., Lazovik, A., & Aiello, M. (2019). Office Multi-Occupancy Detection using BLE Beacons and Power Meters. 2019 IEEE 10th Annual Ubiquitous Computing, Electronics, and Mobile Communication Conference.