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Results: 203
Number of items: 203
  • Open Access
    Ly, K., Kashnitsky, Y., Chamezopoulos, S., & Krzhizhanovskaya, V. (2023). Improving Article Classification with Edge-Heterogeneous Graph Neural Networks. ArXiv. https://doi.org/10.48550/arXiv.2309.11341
  • Kovalchuk, S. V., Krzhizhanovskaya, V. V., Paszyński, M., Kranzlmüller, D., Dongarra, J., & Sloot, P. M. A. (2022). Computational science for a better future. Journal of Computational Science, 62, Article 101745. https://doi.org/10.1016/j.jocs.2022.101745
  • Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13350). Springer. https://doi.org/10.1007/978-3-031-08751-6
  • Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. II, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13351). Springer. https://doi.org/10.1007/978-3-031-08754-7
  • Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. IV, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13353). Springer. https://doi.org/10.1007/978-3-031-08760-8
  • Open Access
    Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2022). Preface. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. III, pp. v-vi). (Lecture Notes in Computer Science; Vol. 13352). Springer. https://doi.org/10.1007/978-3-031-08757-8
  • Open Access
    Ye, D., Zun, P., Krzhizhanovskaya, V., & Hoekstra, A. G. (2022). Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling. Journal of the Royal Society Interface, 19(187), Article 20210864. https://doi.org/10.1098/rsif.2021.0864
  • Open Access
    Melnikov, V. R., Christopoulos, G. I., Krzhizhanovskaya, V. V., Lees, M. H., & Sloot, P. M. A. (2022). Behavioural thermal regulation explains pedestrian path choices in hot urban environments. Scientific Reports, 12, Article 2441. https://doi.org/10.1038/s41598-022-06383-5
  • Open Access
    Ye, D. (2022). Surrogate modelling and uncertainty quantification for multiscale simulation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Knol, D., de Leeuw, F., Meirink, J. F., & Krzhizhanovskaya, V. V. (2021). Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021 : proceedings (Vol. V, pp. 309-322). (Lecture Notes in Computer Science; Vol. 12746). Springer. https://doi.org/10.1007/978-3-030-77977-1_24
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