Follow
Riccardo Taormina
Riccardo Taormina
Assistant Professor, Department of Water Management, TU Delft
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon
R Taormina, K Chau, R Sethi
Engineering Applications of Artificial Intelligence 25 (8), 1670-1676, 2012
4622012
Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines
R Taormina, KW Chau
Journal of hydrology 529, 1617-1632, 2015
3282015
Neural network river forecasting through baseflow separation and binary-coded swarm optimization
R Taormina, KW Chau, B Sivakumar
Journal of Hydrology 529, 1788-1797, 2015
2322015
ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS
R Taormina, KW Chau
Engineering Applications of Artificial Intelligence 45, 429-440, 2015
2242015
Battle of the attack detection algorithms: Disclosing cyber attacks on water distribution networks
R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld, ...
Journal of Water Resources Planning and Management 144 (8), 04018048, 2018
1952018
A review of cybersecurity incidents in the water sector
A Hassanzadeh, A Rasekh, S Galelli, M Aghashahi, R Taormina, ...
Journal of Environmental Engineering 146 (5), 03120003, 2020
1782020
Characterizing cyber-physical attacks on water distribution systems
R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld
Journal of Water Resources Planning and Management 143 (5), 04017009, 2017
1772017
Neural network river forecasting with multi-objective fully informed particle swarm optimization
R Taormina, K Chau
Journal of Hydroinformatics 17 (1), 99-113, 2015
1362015
Deep learning methods for flood mapping: a review of existing applications and future research directions
R Bentivoglio, E Isufi, SN Jonkman, R Taormina
Hydrology and earth system sciences 26 (16), 4345-4378, 2022
1222022
Deep-learning approach to the detection and localization of cyber-physical attacks on water distribution systems
R Taormina, S Galelli
Journal of Water Resources Planning and Management 144 (10), 04018065, 2018
1022018
A toolbox for assessing the impacts of cyber-physical attacks on water distribution systems
R Taormina, S Galelli, HC Douglas, NO Tippenhauer, E Salomons, ...
Environmental modelling & software 112, 46-51, 2019
612019
Identifying (quasi) equally informative subsets in feature selection problems for classification: a max-relevance min-redundancy approach
G Karakaya, S Galelli, SD Ahipaşaoğlu, R Taormina
IEEE transactions on cybernetics 46 (6), 1424-1437, 2015
592015
Constrained concealment attacks against reconstruction-based anomaly detectors in industrial control systems
A Erba, R Taormina, S Galelli, M Pogliani, M Carminati, S Zanero, ...
Proceedings of the 36th Annual Computer Security Applications Conference …, 2020
542020
Machine learning‐based surrogate modeling for urban water networks: review and future research directions
A Garzón, Z Kapelan, J Langeveld, R Taormina
Water Resources Research 58 (5), e2021WR031808, 2022
502022
BattLeDIM: Battle of the leakage detection and isolation methods
SG Vrachimis, DG Eliades, R Taormina, A Ostfeld, Z Kapelan, S Liu, ...
Proc., 2nd Int. CCWI/WDSA Joint Conf, 1-6, 2020
402020
Beyond image analysis in processing archaeomagnetic geophysical data: case studies of chamber tombs with dromos
S Piro, L Sambuelli, A Godio, R Taormina
Near Surface Geophysics 5 (6), 405-414, 2007
382007
Battle of the leakage detection and isolation methods
SG Vrachimis, DG Eliades, R Taormina, Z Kapelan, A Ostfeld, S Liu, ...
Journal of Water Resources Planning and Management 148 (12), 04022068, 2022
312022
Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks
CAF do Lago, MH Giacomoni, R Bentivoglio, R Taormina, MNG Junior, ...
Journal of Hydrology 618, 129276, 2023
282023
Deep learning for detecting macroplastic litter in water bodies: A review
T Jia, Z Kapelan, R de Vries, P Vriend, EC Peereboom, I Okkerman, ...
Water Research 231, 119632, 2023
272023
On the value of ENSO state for urban water supply system operators: Opportunities, trade‐offs, and challenges
CP Libisch‐Lehner, HTT Nguyen, R Taormina, HP Nachtnebel, S Galelli
Water Resources Research 55 (4), 2856-2875, 2019
252019
The system can't perform the operation now. Try again later.
Articles 1–20