SIEVE: A Distributed, Accurate, and Robust Technique to Identify Malicious Nodes in Data Dissemination on MANET. - Rossano Gaeta; Marco Grangetto; Riccardo Loti (ICPADS, 2012)

Modeling and Analysis of Large Scale Interconnected Unstructured P2P Networks. - Rossano Gaeta; Riccardo Loti; Vincenzo Ciancaglini (ICPADS, 2012)

CCN-TV: A Data-centric Approach to Real-Time Video Services. - Vincenzo Ciancaglini; Giuseppe Piro; Riccardo Loti; Luigi Alfredo Grieco; Luigi Liquori (AINA Workshops, 2013)

Interconnection of Large Scale Unstructured P2P Networks: Modeling and Analysis. - Vincenzo Ciancaglini; Rossano Gaeta; Riccardo Loti; Luigi Liquori (ASMTA, 2013)

Exploiting Rateless Codes and Belief Propagation to Infer Identity of Polluters in MANET. - Rossano Gaeta; Marco Grangetto; Riccardo Loti (IEEE Trans. Mob. Comput., 2014)

Modeling and analysis of techniques to increase robustness in distributed systems. (Techniques de modélisation et d'analyse pour l'amélioration de la robustesse des systèmes distribués). - Riccardo Loti (2014)

Fog Computing Over Challenged Networks: A Real Case Evaluation. - Gabriele Castellano; Fulvio Risso; Riccardo Loti (CloudNet, 2018)

Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. - Dena Markudova; Elena Baralis; Luca Cagliero; Marco Mellia; Luca Vassio; Elvio Gilberto Amparore; Riccardo Loti; Lucia Salvatori (EDBT/ICDT Workshops, 2019)

Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles. - Sachit Mishra; Luca Vassio; Luca Cagliero; Marco Mellia; Elena Baralis; Riccardo Loti; Lucia Salvatori (EDBT/ICDT Workshops, 2020)

Profiling industrial vehicle duties using CAN bus signal segmentation and clustering. - Silvia Buccafusco; Andrea Megaro; Luca Cagliero; Francesco Vaccarino; Lucia Salvatori; Riccardo Loti (EDBT/ICDT Workshops, 2021)

Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data. - Dena Markudova; Sachit Mishra; Luca Cagliero; Luca Vassio; Marco Mellia; Elena Baralis; Lucia Salvatori; Riccardo Loti (Comput. Ind., 2021)

Detecting industrial vehicles' duty levels using contrastive learning. - Luca Cagliero; Silvia Buccafusco; Francesco Vaccarino; Lucia Salvatori; Riccardo Loti (IEEE Big Data, 2023)

Learning industrial vehicles' duty patterns: A real case. - Silvia Buccafusco; Luca Cagliero; Andrea Megaro; Francesco Vaccarino; Riccardo Loti; Lucia Salvatori (Comput. Ind., 2023)