E. Khanlari, L. Borgianni, D. Adami, S. Giordano: “Decentralized Intelligence for Centralized Con-trol: Multi-Agent Reinforcement Learning for SD-WAN”, ACM 21st International Conference on Network and Service Management, 2025

Modern Software-Defined Wide Area Network (SD-WAN) deployments are required to manage traffic over heterogeneous underlay networks while meeting stringent Quality of Service (QoS) requirements. In scenarios where multiple branches share overlay...

L. Borgianni, C. Bua, D. Adami, S. Giordano: “Reconstructing the Sound at the Edge: A Low-Latency Framework for NMP with Autotuned Local Synthesis”, IEEE International Symposium on the Internet of Sounds, 2025

Networked Music Performance (NMP) systems aim to enable real-time collaboration between geographically distributed musicians. Traditional approaches transmit raw audio over IP networks, suffering from delay, jitter, and packet loss, which negatively...

Michele Zanoletti, Pasquale Bufano, Francesco Bossi, Francesco Di Rienzo, Carlotta Marinai, Gianluca Rho, Eleonora Melissa, Carlo Vallati, Nicola Carbonaro, Alberto Greco, Alessandro Tognetti, Marco Laurino. “Predicting Six-Minute-Walking-Distance in

Francesco Di Rienzo, Lucia Arcarisi, Francesco Bossi, Manuel Torres Brabo, Pasquale Bufano, Nicola Carbonaro, Alberto Greco, Carlotta Marinai, Eleonora Melissa, Gianluca Rho, Victor Segura Ruiz, Michele Zanoletti, Patricia Abril-Jiménez, Marco Laurin

Carlotta Marinai, Lucia Arcarisi, Francesco Bossi, Pasquale Bufano, Francesco Di Rienzo, Eleo-nora Melissa, Gianluca Rho, Michele Zanoletti, Alberto Greco, Marco Laurino, Carlo Vallati, Nicola Carbonaro, Alessandro Tognetti. “Smart Mattress Cover for

Michele Zanoletti, Carlo Vallati, Nicola Carbonaro, et al. “Real-World Gait Speed Estimation: an AI-based Approach for Adaptive Wearable Devices Integration.” TechRxiv, Preprint submi-tted to IEEE Access, September 4, 2025.

G. Buttitta, F. Lombardini: "Layered Investigation of Wind-blown Forest Decorrelation in 3D SAR Tomography for Tandem Satellite Missions", poster presentation at Riunione Annuale GTTI 2025, Bologna, Italy, Sept. 2025.

G. Buttitta, F. Lombardini: "Short-term Decorrelation of Windblown Forest Scattering: Advanced Stratigraphic Characterization for Companion SAR Tomography", oral presentation at IEEE IGARSS 2025, Brisbane, Australia, Aug. 2025.

G. Buttitta, F. Lombardini: "3D Radar Tomography for Earth Observation: Spaceborne Implementations and Scattering Stability Issues", poster presentation at IEEE AES Workshop on Communication and Sensing in Space (COSS), Pisa, Italy, March 2024.

D. Cosimo, L. Bazzarello, V. Cimino, F. Donegà, F. Guerra, F. Campagnaro, M. Zorzi, R. Costanzi, A. Caiti: “Improving Underwater Acoustic Network Performance with AUV Swarm Mobility and Environmental Awareness”, in OCEANS 2025 Brest

This study introduces an environment-adaptive strategy for Autonomous Underwater Vehicles (AUVs), aimed at optimizing the network performance by adjusting the operating depth of AUVs based on environmental sensing. We conduct simulations using the...

Tessa, B., Cima, L., Trujillo, A., Avvenuti, M., & Cresci, S. (2024). Beyond trial-and-error: Predicting user abandonment after a moderation intervention. Engineering Applications of Artificial intelligence.

Current content moderation follows a reactive, trial-and-error approach, where interventions are applied and their effects are only measured post-hoc. In contrast, we introduce a proactive, predictive approach that enables moderators to anticipate the...

Cima, L., Tessa, B., Trujillo, A., Cresci, S., & Avvenuti, M. (2025). Investigating the heterogeneous effects of a massive content moderation intervention via Difference-in-Differences. Online Social Networks and Media, 48, 100320.

In today's online environments, users encounter harm and abuse on a daily basis. Therefore, content moderation is crucial to ensure their safety and well-being. However, the effectiveness of many moderation interventions is still uncertain. Here, we...

Giorgi, T., Cima, L., Fagni, T., Avvenuti, M., & Cresci, S. Human and LLM biases in hate speech annotations: A socio-demographic analysis of annotators and targets. In Proceedings of the International AAAI Conference on Web and Social Media

The rise of online platforms exacerbated the spread of hate speech, demanding scalable and effective detection. However, the accuracy of hate speech detection systems heavily relies on human-labeled data, which is inherently susceptible to biases....

Cima, L., Miaschi, A., Trujillo, A., Avvenuti, M., Dell'Orletta, F., & Cresci, S. (2025, April). Contextualized counterspeech: Strategies for adaptation, personalization, and evaluation. In Proceedings of the ACM on Web Conference 2025

AI-generated counterspeech offers a promising and scalable strategy to curb online toxicity through direct replies that promote civil discourse. However, current counterspeech is one-size-fits-all, lacking adaptation to the moderation context and the...

A. Gentili, M. Bresciani, F. Ruscio, S. Tani, A. Caiti and R. Costanzi “Detection and classification of man-made objects for the autonomy of underwater robots”. IFAC-PapersOnLine, 56(2), 5741-5746.

Recent developments in marine technologies allow underwater vehicles to perform survey missions for data collection in an automatic way. The scientific community is now focusing on endowing these vehicles with strong perception capabilities, aiming at...

F. Ruscio, S. Tani, A. Gentili, G. Liverani, A. Bucci, A. Topini, A. Ridolfi and R. Costanzi "Towards Multi-Class Segmentation of Seafloor Images with Posidonia Oceanica." OCEANS 2025 Brest. IEEE, 2025.

Posidonia oceanica meadows are key components of the Mediterranean marine ecosystem, offering crucial ecological services such as carbon sequestration, sediment stabilization, and habitat for diverse marine species. Increasing anthropogenic pressures...

A. Gentili, E. D’Agostino, C. Pieri, M. Telesca, L. Pollini, A. Caiti and R. Costanzi “A Multi-Beam Forward-Looking Sonar simulator based on Unity3D”. In: 2024 IEEE International Workshop on Metrology for the Sea; Portorose, Slovenia, 2024, pp. 558

The development and testing of robust underwater acoustic technologies for applications such as environmental monitoring, inspection of underwater structures, as well as applications in the fields of geology and marine biology, typically require large...

A. Gentili, F. Cagol, F. Ruscio and R. Costanzi “Comparison of Deep Learning strategies for the identification of artificial objects in underwater environment”. OCEANS 2024 - Halifax, Halifax, NS, Canada, 2024, pp. 01-06.

In the last decades, the development of Autonomous Underwater Vehicles (AUVs) has advanced significantly, focusing on their ability to autonomously navigate and collect data in underwater environments. However, these tasks are often predefined and...

Toward Bio-Inspired Autonomous Navigation: Long-Range Marine AUV Navigation

Tireless travellers: sea turtles swim continuously during homing movements