A Feature Selection Method for Air Quality Forecasting. - Luca Mesin; Fiammetta Orione; Riccardo Taormina; Eros Pasero (ICANN (3), 2010)

Forecasting tropospheric ozone concentrations with adaptive neural networks. - Riccardo Taormina; Luca Mesin; Fiammetta Orione; Eros Pasero (IJCNN, 2011)

Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon. - Riccardo Taormina; Kwok-Wing Chau; Rajandrea Sethi (Eng. Appl. Artif. Intell., 2012)

ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS. - Riccardo Taormina; Kwok-Wing Chau (Eng. Appl. Artif. Intell., 2015)

Simulation of Cyber-Physical Attacks on Water Distribution Systems with EPANET. - Riccardo Taormina; Stefano Galelli; Nils Ole Tippenhauer; Elad Salomons; Avi Ostfeld (SG-CRC, 2016)

Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach. - Gülsah Karakaya; Stefano Galelli; Selin Damla Ahipasaoglu; Riccardo Taormina (IEEE Trans. Cybern., 2016)

Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control Systems. - Alessandro Erba 001; Riccardo Taormina; Stefano Galelli; Marcello Pogliani; Michele Carminati; Stefano Zanero; Nils Ole Tippenhauer (CoRR, 2019)

A toolbox for assessing the impacts of cyber-physical attacks on water distribution systems. - Riccardo Taormina; Stefano Galelli; Hunter C. Douglas; Nils Ole Tippenhauer; Elad Salomons; Avi Ostfeld (Environ. Model. Softw., 2019)

Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems. - Alessandro Erba 001; Riccardo Taormina; Stefano Galelli; Marcello Pogliani; Michele Carminati; Stefano Zanero; Nils Ole Tippenhauer (ACSAC, 2020)

A Review of Cybersecurity Incidents in the Water Sector. - Amin Hassanzadeh; Amin Rasekh; Stefano Galelli; Mohsen Aghashahi; Riccardo Taormina; Avi Ostfeld; M. Katherine Banks (CoRR, 2020)

Cascading Failures in Interconnected Power-to-Water Networks. - Evangelos Pournaras; Riccardo Taormina; Manish Thapa; Stefano Galelli; Venkata Reddy Palleti; Robert E. Kooij (SIGMETRICS Perform. Evaluation Rev., 2020)

Dataset of BattLeDIM: Battle of the Leakage Detection and Isolation Methods. - Stelios G. Vrachimis; Demetrios G. Eliades; Riccardo Taormina; Avi Ostfeld; Zoran Kapelan; Shuming Liu; Marios S. Kyriakou; Pavlos Pavlou; Mengning Qiu; Marios M. Polycarpou (Zenodo, 2020)

Graph-Time Convolutional Autoencoders. - Mohammad Sabbaqi; Riccardo Taormina; Alan Hanjalic; Elvin Isufi (LoG, 2022)

The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna. - Mónica Estébanez-Camarena; Riccardo Taormina; Nick van de Giesen; Marie-claire ten Veldhuis (Remote. Sens., 2023)

On Practical Realization of Evasion Attacks for Industrial Control Systems. - Alessandro Erba 001; Andrés F. Murillo; Riccardo Taormina; Stefano Galelli; Nils Ole Tippenhauer (RICSS@CCS, 2024)

A Machine Learning-based framework and open-source software for Non Intrusive Water Monitoring. - Marie-Philine Gross; Riccardo Taormina; Andrea Cominola (Environ. Model. Softw., 2025)

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning. - Mohammad Sabbaqi; Riccardo Taormina; Elvin Isufi (CoRR, 2025)