Archivio Istituzionale della RicercaVASSIO, LUCA
VASSIO, LUCA
Dipartimento di Automatica e Informatica
026369
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks
2024 Paoletti, Giordano; Gioacchini, Luca; Mellia, Marco; Vassio, Luca; Almeida, Jussara M.
Detecting Edge and Node Anomalies with Temporal GNNs
2024 Cavallo, Andrea; Gioacchini, Luca; Mellia, Marco; Vassio, Luca
Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes
2024 Huang, Kai; Gioacchini, Luca; Mellia, Marco; Vassio, Luca
Incremental Federated Host Embeddings for Network Telescopes Traffic Analysis
2024 Huang, Kai; Gioacchini, Luca; Mellia, Marco; Vassio, Luca
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance
2023 Cavallo, Andrea; Grohnfeldt, Claas; Russo, Michele; Lovisotto, Giulio; Vassio, Luca
Exploring Temporal GNN Embeddings for Darknet Traffic Analysis
2023 Gioacchini, Luca; Cavallo, Andrea; Mellia, Marco; Vassio, Luca
Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources
2023 Speciale, A.; Vallero, G.; Vassio, L.; Mellia, M.
Transformer-based Prediction of Emotional Reactions to Online Social Network Posts
2023 Benedetto, Irene; La Quatra, Moreno; Cagliero, Luca; Vassio, Luca; Trevisan, Martino
Demand Model Generation from Traces: Adaptive KDE Data-Driven Optimization
2022 Pinna, Maurizio; Vassio, Luca; Giordano, Danilo; Mellia, Marco
Disentangling the Information Flood on OSNs: Finding Notable Posts and Topics
2022 Caso, Paola; Trevisan, Martino; Vassio, Luca
On using pretext tasks to learn representations from network logs
2022 Boffa, M.; Vassio, L.; Mellia, M.; Drago, I.; Milan, G.; Houidi, Z. B.; Rossi, D.
Towards NLP-based Processing of Honeypot Logs
2022 Boffa, Matteo; Milan, Giulia; Vassio, Luca; Drago, Idilio; Mellia, Marco; Ben Houidi, Zied
User Value in Modern Payment Platforms: A Graph Approach
2022 Arditti, Laura; Trevisan, Martino; Vassio, Luca; Lazzari, Alberto De; Danese, Alberto
Benefits of Relocation on E-scooter Sharing - a Data-Informed Approach
2021 Tolomei, Leonardo; Fiorini, Stefano; Ciociola, Alessandro; Vassio, Luca; Giordano, Danilo; Mellia, Marco
DarkVec: automatic analysis of darknet traffic with word embeddings
2021 Gioacchini, Luca; Vassio, Luca; Mellia, Marco; Drago, Idilio; Houidi, Zied Ben; Rossi, Dario
Environmental and Economic Comparison of ICEV and EV in Car Sharing
2021 Fassio, Edoardo; Ciociola, Alessandro; Giordano, Danilo; Noussan, Michel; Vassio, Luca; Mellia, Marco
RL-IoT: Reinforcement Learning to Interact with IoT Devices
2021 Milan, Giulia; Vassio, Luca; Drago, Idilio; Mellia, Marco
Temporal Dynamics of Posts and User Engagement of Influencers on Facebook and Instagram
2021 Vassio, Luca; Garetto, Michele; Chiasserini, Carla Fabiana; Leonardi, Emilio
The stock exchange of influencers: a financial approach for studying fanbase variation trends
2021 Bertone, Fabio; Vassio, Luca; Trevisan, Martino
E-Scooter Sharing: Leveraging Open Data for System Design
2020 Ciociola, Alessandro; Cocca, Michele; Giordano, Danilo; Vassio, Luca; Mellia, Marco
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks / Paoletti, Giordano; Gioacchini, Luca; Mellia, Marco; Vassio, Luca; Almeida, Jussara M.. - ELETTRONICO. - (2024). (Intervento presentato al convegno 4th Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2024 tenutosi a Vancouver (CDN) nel 2024). | 1-gen-2024 | Giordano PaolettiLuca GioacchiniMarco MelliaLuca Vassio + | 2312.13784.pdf |
| Detecting Edge and Node Anomalies with Temporal GNNs / Cavallo, Andrea; Gioacchini, Luca; Mellia, Marco; Vassio, Luca. - ELETTRONICO. - (2024), pp. 7-13. (Intervento presentato al convegno 3rd GNNet Workshop - Graph Neural Networking Workshop tenutosi a Los Angeles, California (USA) nel December 9, 2024) [10.1145/3694811.3697818]. | 1-gen-2024 | Gioacchini, LucaMellia, MarcoVassio, Luca + | 3694811.3697818.pdf |
| Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes / Huang, Kai; Gioacchini, Luca; Mellia, Marco; Vassio, Luca. - (2024), pp. 287-296. (Intervento presentato al convegno 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) tenutosi a Vienna (AUT) nel 08-12 July 2024) [10.1109/EuroSPW61312.2024.00037]. | 1-gen-2024 | Huang KaiGioacchini LucaMellia MarcoVassio Luca | 2024_WTMC_evolutionary_darknet_workshop.pdf; Dynamic_Cluster_Analysis_to_Detect_and_Track_Novelty_in_Network_Telescopes.pdf |
| Incremental Federated Host Embeddings for Network Telescopes Traffic Analysis / Huang, Kai; Gioacchini, Luca; Mellia, Marco; Vassio, Luca. - ELETTRONICO. - (2024), pp. 41-46. (Intervento presentato al convegno IEEE 44th International Conference on Distributed Computing Systems (ICDCS) tenutosi a Jersey City, NJ (USA) nel 23-23 July 2024) [10.1109/icdcsw63686.2024.00013]. | 1-gen-2024 | Huang, KaiGioacchini, LucaMellia, MarcoVassio, Luca | Incremental_Federated_Host_Embeddings_for_Network_Telescopes_Traffic_Analysis.pdf; 2024_AIDCS_DarkVec_federated.pdf |
| 2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance / Cavallo, Andrea; Grohnfeldt, Claas; Russo, Michele; Lovisotto, Giulio; Vassio, Luca. - ELETTRONICO. - (2023). (Intervento presentato al convegno 3rd Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2023 tenutosi a Washington DC, USa). | 1-gen-2023 | Andrea CavalloLuca Vassio + | 2023_2NCS_AAAI_arxiv.pdf |
| Exploring Temporal GNN Embeddings for Darknet Traffic Analysis / Gioacchini, Luca; Cavallo, Andrea; Mellia, Marco; Vassio, Luca. - ELETTRONICO. - (2023), pp. 31-36. (Intervento presentato al convegno 2nd GNNet Workshop - Graph Neural Networking Workshop tenutosi a Paris, France nel 8 December, 2023) [10.1145/3630049.3630175]. | 1-gen-2023 | Gioacchini, LucaMellia, MarcoVassio, Luca + | CoNEXT23_GNNet_Workshop_camera_ready.pdf |
| Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources / Speciale, A.; Vallero, G.; Vassio, L.; Mellia, M.. - ELETTRONICO. - 3379:(2023). (Intervento presentato al convegno 7th International workshop on Data Analytics solutions for Real-LIfe APplications tenutosi a Ioannina, Greece) nel March 28-March 31, 2023). | 1-gen-2023 | Vallero G.Vassio L.Mellia M. + | DARLI_UP2023___Recommendation_Systems_in_Libraries__an_Application_with_Heterogeneous_Data_Sources.pdf; Vallero-Recommendation.pdf |
| Transformer-based Prediction of Emotional Reactions to Online Social Network Posts / Benedetto, Irene; La Quatra, Moreno; Cagliero, Luca; Vassio, Luca; Trevisan, Martino. - ELETTRONICO. - (2023), pp. 354-364. (Intervento presentato al convegno Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA) tenutosi a Toronto (CAN) nel July 9–14, 2023) [10.18653/v1/2023.wassa-1.31]. | 1-gen-2023 | Benedetto, IreneLa Quatra, MorenoCagliero, LucaVassio, LucaTrevisan, Martino | 2023.wassa-1.31.pdf |
| Demand Model Generation from Traces: Adaptive KDE Data-Driven Optimization / Pinna, Maurizio; Vassio, Luca; Giordano, Danilo; Mellia, Marco. - ELETTRONICO. - (2022), pp. 48-54. (Intervento presentato al convegno 6th International Conference on Smart Grid and Smart Cities (ICSGSC) nel 22-24 October 2022) [10.1109/ICSGSC56353.2022.9963018]. | 1-gen-2022 | Pinna, MaurizioVassio, LucaGiordano, DaniloMellia, Marco | Demand_Model_Generation_from_Traces_Adaptive_KDE_Data-Driven_Optimization.pdf |
| Disentangling the Information Flood on OSNs: Finding Notable Posts and Topics / Caso, Paola; Trevisan, Martino; Vassio, Luca. - (2022), pp. 1168-1175. (Intervento presentato al convegno 2022 IEEE International Conference on Data Mining Workshops (ICDMW) tenutosi a Orlando, Florida (USA) nel 28 November 2022 - 01 December 2022) [10.1109/ICDMW58026.2022.00152]. | 1-gen-2022 | Trevisan, MartinoVassio, Luca + | 2022_ICDM_social_pubblicato.pdf; 2022_ICDM_social_accettato.pdf |
| On using pretext tasks to learn representations from network logs / Boffa, M.; Vassio, L.; Mellia, M.; Drago, I.; Milan, G.; Houidi, Z. B.; Rossi, D.. - STAMPA. - (2022), pp. 21-26. (Intervento presentato al convegno NativeNi '22: 1st International Workshop on Native Network Intelligence tenutosi a Roma, Italy nel 9 December 2022) [10.1145/3565009.3569522]. | 1-gen-2022 | Boffa M.Vassio L.Mellia M.Drago I.Milan G. + | 2022_pretext_NATIVENI_published.pdf |
| Towards NLP-based Processing of Honeypot Logs / Boffa, Matteo; Milan, Giulia; Vassio, Luca; Drago, Idilio; Mellia, Marco; Ben Houidi, Zied. - STAMPA. - (2022), pp. 314-321. (Intervento presentato al convegno 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) tenutosi a Genoa, Italy nel 06-10 June 2022) [10.1109/EuroSPW55150.2022.00038]. | 1-gen-2022 | Boffa, MatteoVassio, LucaDrago, IdilioMellia, Marco + | Article_IEEE.pdf; Workshop_WTMC.pdf |
| User Value in Modern Payment Platforms: A Graph Approach / Arditti, Laura; Trevisan, Martino; Vassio, Luca; Lazzari, Alberto De; Danese, Alberto. - STAMPA. - (2022), pp. 71-78. (Intervento presentato al convegno 2022 IEEE International Conference on Data Mining Workshops (ICDMW) tenutosi a Orlando, Florida nel 28 November - 1 December 2022) [10.1109/ICDMW58026.2022.00018]. | 1-gen-2022 | Arditti, LauraTrevisan, MartinoVassio, Luca + | 2022_ICDM_Larus_published.pdf; 2022_ICDM_Larus_accepted.pdf |
| Benefits of Relocation on E-scooter Sharing - a Data-Informed Approach / Tolomei, Leonardo; Fiorini, Stefano; Ciociola, Alessandro; Vassio, Luca; Giordano, Danilo; Mellia, Marco. - ELETTRONICO. - (2021), pp. 3170-3175. (Intervento presentato al convegno 2021 IEEE International Intelligent Transportation Systems Conference (ITSC)) [10.1109/ITSC48978.2021.9564809]. | 1-gen-2021 | Ciociola, AlessandroVassio, LucaGiordano, DaniloMellia, Marco + | ITSC____Scooter_Relocation.pdf; Benefits_of_Relocation_on_E-scooter_Sharing_-_a_Data-Informed_Approach.pdf |
| DarkVec: automatic analysis of darknet traffic with word embeddings / Gioacchini, Luca; Vassio, Luca; Mellia, Marco; Drago, Idilio; Houidi, Zied Ben; Rossi, Dario. - STAMPA. - (2021), pp. 76-89. (Intervento presentato al convegno CoNEXT '21: 17th International Conference on emerging Networking EXperiments and Technologies tenutosi a Virtual Event Germany nel December 7 - 10, 2021) [10.1145/3485983.3494863]. | 1-gen-2021 | Gioacchini, LucaVassio, LucaMellia, MarcoDrago, Idilio + | 3485983.3494863.pdf; darkvec_preprint.pdf |
| Environmental and Economic Comparison of ICEV and EV in Car Sharing / Fassio, Edoardo; Ciociola, Alessandro; Giordano, Danilo; Noussan, Michel; Vassio, Luca; Mellia, Marco. - ELETTRONICO. - (2021), pp. 1621-1626. (Intervento presentato al convegno 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) ) [10.1109/ITSC48978.2021.9564578]. | 1-gen-2021 | Ciociola, AlessandroGiordano, DaniloNoussan, MichelVassio, LucaMellia, Marco + | ITSC____Emission_footprint_via_simulation.pdf; Environmental_and_Economic_Comparison_of_ICEV_and_EV_in_Car_Sharing.pdf |
| RL-IoT: Reinforcement Learning to Interact with IoT Devices / Milan, Giulia; Vassio, Luca; Drago, Idilio; Mellia, Marco. - STAMPA. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS)) [10.1109/COINS51742.2021.9524260]. | 1-gen-2021 | Milan, GiuliaVassio, LucaDrago, IdilioMellia, Marco | 2021_COINS.pdf; 2021_COINS_accepted.pdf |
| Temporal Dynamics of Posts and User Engagement of Influencers on Facebook and Instagram / Vassio, Luca; Garetto, Michele; Chiasserini, Carla Fabiana; Leonardi, Emilio. - STAMPA. - (2021), pp. 129-133. (Intervento presentato al convegno 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) tenutosi a Virtual Event, Netherlands nel November 8–11, 2021) [10.1145/3487351.3488340]. | 1-gen-2021 | Luca VassioCarla ChiasseriniEmilio Leonardi + | ASONAM_VASSIO_Accepted.pdf; 2021_ASONAM_TemporalDynamics.pdf |
| The stock exchange of influencers: a financial approach for studying fanbase variation trends / Bertone, Fabio; Vassio, Luca; Trevisan, Martino. - STAMPA. - (2021), pp. 431-435. (Intervento presentato al convegno 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) tenutosi a Virtual Event, Netherlands nel November 8–11, 2021) [10.1145/3487351.3488413]. | 1-gen-2021 | Vassio, LucaTrevisan, Martino + | 2021_ASONAM_MSND_stocks2.pdf; 2021_ASONAM_MSND_stocks_open.pdf |
| E-Scooter Sharing: Leveraging Open Data for System Design / Ciociola, Alessandro; Cocca, Michele; Giordano, Danilo; Vassio, Luca; Mellia, Marco. - ELETTRONICO. - (2020), pp. 1-8. (Intervento presentato al convegno 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) tenutosi a Virtuale nel 14-16 Sept. 2020) [10.1109/DS-RT50469.2020.9213514]. | 1-gen-2020 | Ciociola, AlessandroCocca, MicheleGiordano, DaniloVassio, LucaMellia, Marco | ScooterSharing___DS_RT_Conference.pdf; ScooterSharing.pdf |