| An evaluation framework for input variable selection algorithms for environmental data-driven models S Galelli, GB Humphrey, HR Maier, A Castelletti, GC Dandy, MS Gibbs Environmental Modelling & Software 62, 33-51, 2014 | 202 | 2014 |
| Tree‐based reinforcement learning for optimal water reservoir operation A Castelletti, S Galelli, M Restelli, R Soncini‐Sessa Water Resources Research 46 (9), 2010 | 188 | 2010 |
| A general framework for dynamic emulation modelling in environmental problems A Castelletti, S Galelli, M Ratto, R Soncini-Sessa, PC Young Environmental Modelling & Software 34, 5-18, 2012 | 159 | 2012 |
| 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 | 141 | 2017 |
| 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 | 135 | 2018 |
| Tree‐based iterative input variable selection for hydrological modeling S Galelli, A Castelletti Water Resources Research 49 (7), 4295-4310, 2013 | 133 | 2013 |
| Examining global electricity supply vulnerability to climate change using a high-fidelity hydropower dam model SWD Turner, JY Ng, S Galelli Science of the Total Environment 590, 663-675, 2017 | 121 | 2017 |
| Assessing the predictive capability of randomized tree-based ensembles in streamflow modelling S Galelli, A Castelletti Hydrology and Earth System Sciences 17 (7), 2669-2684, 2013 | 102 | 2013 |
| 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), 2020 | 95 | 2020 |
| Complex relationship between seasonal streamflow forecast skill and value in reservoir operations SWD Turner, JC Bennett, DE Robertson, S Galelli Hydrology and Earth System Sciences 21 (9), 4841-4859, 2017 | 92 | 2017 |
| Data-driven dynamic emulation modelling for the optimal management of environmental systems A Castelletti, S Galelli, M Restelli, R Soncini-Sessa Environmental Modelling & Software 34, 30-43, 2012 | 91 | 2012 |
| 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 | 74 | 2018 |
| On the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessments TD Dang, AFMK Chowdhury, S Galelli Hydrology and Earth System Sciences 24 (1), 397--416, 2020 | 72 | 2020 |
| Optimal real-time operation of multipurpose urban reservoirs: Case study in Singapore S Galelli, A Goedbloed, D Schwanenberg, PJ van Overloop Journal of Water Resources Planning and Management 140 (4), 511-523, 2014 | 62 | 2014 |
| Water supply sensitivity to climate change: An R package for implementing reservoir storage analysis in global and regional impact studies SWD Turner, S Galelli Environmental Modelling & Software 76, 13-19, 2016 | 61 | 2016 |
| Building a metamodel of an irrigation district distributed-parameter model S Galelli, C Gandolfi, R Soncini-Sessa, D Agostani Agricultural Water Management 97 (2), 187-200, 2010 | 59 | 2010 |
| A dimensionality reduction approach for many-objective Markov Decision Processes: Application to a water reservoir operation problem M Giuliani, S Galelli, R Soncini-Sessa Environmental Modelling & Software 57, 101-114, 2014 | 51 | 2014 |
| Influence of El Niņo Southern Oscillation on global hydropower production JY Ng, SWD Turner, S Galelli Environmental Research Letters 12 (3), 034010, 2017 | 50 | 2017 |
| Constrained concealment attacks against reconstruction-based anomaly detectors in industrial control systems A Erba, R Taormina, S Galelli, M Pogliani, M Carminati, S Zanero, ... Annual Computer Security Applications Conference, 480-495, 2020 | 48* | 2020 |
| 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 | 48 | 2015 |
Andrea CastellettiProfessor, Politecnico di MilanoVerified email at polimi.it
