ERSEGHE, TOMASO
ERSEGHE, TOMASO
Dipartimento di Ingegneria dell'Informazione - DEI
BERTAgent: The Development of a Novel Tool to Quantify Agency in Textual Data
2025 Nikadon, J.; Suitner, C.; Erseghe, T.; Dzanko, L.; Formanowicz, M.
Linguistic features influencing information diffusion in social networks: A systematic review
2025 Dzanko, L.; Suitner, C.; Erseghe, T.; Nikadon, J.; Formanowicz, M.
The Role of Agentic Language in Mobilizing Election Candidate Support
2025 Nikadon, J.; Suitner, C.; Erseghe, T.; Dzanko, L.; Olech, M.; Jurek, P.; Formanowicz, M.
A Distributed Rate-Control Approach to Reduce Communication Burdens in VSNs
2023 Eleuch, Salma; Khouja, Nadia; Milani, Simone; Erseghe, Tomaso; Tlili, Fethi
Projection of Socio-Linguistic markers in a semantic context and its application to online social networks
2023 Erseghe, T.; Badia, L.; Dzanko, L.; Formanowicz, M.; Nikadon, J.; Suitner, C.
A Comparative Evaluation of Well-known Feature Extractors for Multi-view Vehicle Tracking in VSNs
2022 Eleuch, Salma; Khouja, Nadia; Tlili, Fethi; Erseghe, Tomaso; Milani, Simone
A Study on the Impact of Multiview Distributed Feature Coding on a Multicamera Vehicle Tracking System at Roundabouts
2022 Eleuch, S; Khouja, N; Milani, S; Erseghe, T; Tlili, F
A Study on the Impact of Multiview Distributed Feature Coding on a Multicamera Vehicle Tracking System at Roundabouts
2022 Eleuch, S.; Khouja, N.; Milani, S.; Erseghe, T.; Tlili, F.
Frequency-Dependent Functional Connectivity of Brain Networks at Resting-State
2022 Guglielmi, Anna V.; Cisotto, Giulia; Erseghe, Tomaso; Badia, Leonardo
PLMP: A Method to map the linguistic markers of the social discourse onto its semantic network
2022 Erseghe, Tomaso; Badia, Leonardo; Džanko, Lejla; Suitner, Caterina
The rise of #climateaction in the time of the FridaysForFuture movement: A semantic network analysis
2022 Suitner, C.; Badia, L.; Clementel, D.; Iacovissi, L.; Migliorini, M.; Salvador Casara, B. G.; Solimini, D.; Formanowicz, M.; Erseghe, T.
Towards Sustainable Edge Computing through Renewable Energy Resources and Online, Distributed and Predictive Scheduling
2022 Perin, G.; Berno, M.; Erseghe, T.; Rossi, M.
Elastic and Predictive Allocation of Computing Tasks in Energy Harvesting IoT Edge Networks
2021 Cecchinato, D.; Erseghe, T.; Rossi, M.
New results on the local linear convergence of ADMM: A joint approach
2021 Erseghe, T.
On trading the spreading gain with the coding rate and its application to GNSS data component design
2021 Erseghe, T.; Caparra, G.; Formaggio, F.; Laurenti, N.
Distributed Learning Algorithms for Optimal Data Routing in IoT Networks
2020 Rossi, M.; Centenaro, M.; Ba, A.; Eleuch, S.; Erseghe, T.; Zorzi, M.
Feature-based Vehicle Tracking at Roundabouts in Visual Sensor Networks
2020 Eleuch, S.; Khouja, N.; Erseghe, T.; Tlili, F.
Immigrations, styles and topics: A study about Italian politics tweet
2020 Salvador Casara, B. G.; Suitner, C.; Erseghe, T.
Structural and semantic impact of online collective action
2020 Badia, L.; Clementel, D; Erseghe, T.; Iacovissi, L.; Migliorini, M.; Salvador Casara, B. G.; Suitner, C.
Coding Bounds in the Finite-Black-Length Regime: An Application to Spread-Spectrum Systems Design
2019 Erseghe, T.; Laurenti, N.; Zecchin, M.