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Results: 198
Number of items: 198
  • Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V. V., Lees, M., Dongarra, J., & Sloot, P. M. A. (2018). Preface. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : proceedings (Vol. 3, pp. V-VI). (Lecture Notes in Computer Science; Vol. 10862). Springer. https://doi.org/10.1007/978-3-319-93713-7
  • Open Access
    Magoev, K., Krzhizhanovskaya, V. V., & Kovalchuk, S. V. (2018). Application of clustering methods for detecting critical acute coronary syndrome patients. Procedia Computer Science, 136, 370-379. https://doi.org/10.1016/j.procs.2018.08.277
  • Open Access
    Presbitero, A., Mancini, E., Brands, R., Krzhizhanovskaya, V. V., & Sloot, P. M. A. (2018). Supplemented alkaline phosphatase supports the immune response in patients undergoing cardiac surgery: Clinical and computational evidence. Frontiers in Immunology, 9, Article 2342. https://doi.org/10.3389/fimmu.2018.02342
  • Open Access
    Presbitero, A. V., Mancini, E., & Krzhizhanovskaya, V. V. (2018). Modelling Neutrophils' Response to Various Levels of Insults. Procedia Computer Science, 136, 390-397. https://doi.org/10.1016/j.procs.2018.08.275
  • Open Access
    Fu, X., Presbitero, A., Kovalchuk, S. V., & Krzhizhanovskaya, V. V. (2018). Coupling Game Theory and Discrete-Event Simulation for Model-Based Ambulance Dispatching. Procedia Computer Science, 136, 398-407. https://doi.org/10.1016/j.procs.2018.08.274
  • Kovalchuk, S. V., Abuhay, T. M., Altintas, I., Norman, M. L., Lees, M. H., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2017). Data through the Computational Lens. Journal of Computational Science, 20, 81-84. https://doi.org/10.1016/j.jocs.2017.05.003
  • Koumoutsakos, P., Lees, M., Krzhizhanovskaya, V., Dongarra, J., & Sloot, P. (Eds.) (2017). International Conference on Computational Science, ICCS 2017: 12-14 June 2017, Zurich, Switzerland. (Procedia Computer Science; Vol. 108). Elsevier. http://www.sciencedirect.com/science/journal/18770509/108/
  • Fisher, W., Jackson, B., Camp, T., & Krzhizhanovskaya, V. V. (2017). Anomaly detection in earth dam and levee passive seismic data using multivariate Gaussian. In X. Chen, B. Luo, F. Luo, V. Palade, & M. A. Wani (Eds.), ICMLA 2017 : 16th IEEE International Conference on Machine Learning and Applications: proceedings : 18-21 December 2017, Cancun, Mexico (pp. 685-690). IEEE Computer Society. https://doi.org/10.1109/ICMLA.2017.00-81
  • Fisher, W. D., Camp, T. K., & Krzhizhanovskaya, V. V. (2017). Anomaly detection in earth dam and levee passive seismic data using support vector machines and automatic feature selection. Journal of Computational Science, 20, 143-153. https://doi.org/10.1016/j.jocs.2016.11.016
  • Open Access
    Melnikov, V., Krzhizhanovskaya, V. V., & Sloot, P. M. A. (2017). Models of Pedestrian Adaptive Behaviour in Hot Outdoor Public Spaces. Procedia Computer Science, 108, 185-194. https://doi.org/10.1016/j.procs.2017.05.006
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