Publications

Applied AI

Journals

Conference Abstracts & Proceedings

  • Bentivoglio, R., Isufi, E., Jonkman, S.N. and Taormina, R., 2023. On the generalization of hydraulic-inspired graph neural networks for spatio-temporal flood simulations (No. EGU23-12952). Copernicus Meetings.
  • R. Bentivoglio, B. Kerimov, J. A. G. Diaz, E. Isufi, F. Tscheikner-Grati, D. B. Steffelbauer, R. Taormina, Assessing the Performance and Transferability of Graph Neural Network Metamodels for Water Distribution Systems, WSDA / CCWI Joint Conference, 2022.
  • B. Kerimov, F. Tscheikner-Gratl, R. Taormina, D. Steffelbauer (2022) The Shape of Water Distribution Networks - Describing local structures of water networks via graphlet analysis. 2nd WDSA/CCWI Joint Conference Water Distribution System Analysis Computing and Control in Water Industry . University of Valencia; Valencia. 2022-07-18 - 2022-07-22.
  • GarzĂłn, A., Bentivoglio, R., Isufi, E., Kapelan, Z., & Taormina, R. (2021, April). Modeling Water Distribution Systems with Graph Neural Networks. In EGU General Assembly Conference Abstracts (pp. EGU21-9378).
  • van der Kooij, E., Schleiss, M., Taormina, R., Fioranelli, F., Lugt, D., van Hoek, M., ... & Overeem, A. (2021, April). Nowcasting heavy precipitation over the Netherlands using a 13-year radar archive: a machine learning approach. In EGU General Assembly Conference Abstracts (pp. EGU21-12814).
  • Mavritsakis, P., ten Veldhuis, M. C., Schleiss, M., & Taormina, R. (2021, April). Dry-spell assessment through rainfall downscaling comparing deep-learning algorithms and conventional statistical frameworks in a data scarce region: The case of Northern Ghana. In EGU General Assembly Conference Abstracts (pp. EGU21-8393).
  • Taormina, R., & Isufi, E. (2020, December). Geometric Deep Learning for Modeling, Prediction and Forecasting in Urban Water Systems. In AGU Fall Meeting Abstracts (Vol. 2020, pp. H188-04).
  • Taormina, R., Ashrafi, M., Murillo, A., & Galelli, S. (2020, May). Deep Learning-based Surrogate Models for Water Distribution Systems. In EGU General Assembly Conference Abstracts (p. 22576).

Fundamental AI

Journals

Conference Abstracts & Proceedings