Archivio Istituzionale della RicercaLICCIARDI, ALESSANDRO
LICCIARDI, ALESSANDRO
Dipartimento di Scienze Matematiche
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Risultati 1 - 7 di 7 (tempo di esecuzione: 0.011 secondi).
WASA: Wavelet Scattering Autoencoders for Unsupervised Offline Detection of Malicious Clients in Federated Learning
2026 Licciardi, Alessandro
Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning
2026 Licciardi, A.; Leo, D.; Carbone, D.
A Machine Learning Model for Humidity Estimation Based on Physics-Informed Dimensionality Reduction
2025 Licciardi, Alessandro; Bernardi, Sara; Pizzi, Marco; Begnamino, Paolo; Rondoni, Lamberto
Interaction-Aware Gaussian Weighting for Clustered Federated Learning
2025 Licciardi, Alessandro; Leo, Davide; Fanì, Eros; Caputo, Barbara; Ciccone, Marco
Wavelet scattering transform for gravitational wave analysis: An application to glitch characterization
2025 Licciardi, Alessandro; Carbone, Davide; Rondoni, Lamberto; Nagar, Alessandro
Wavelet Scattering Operators for Multiscale Processes: The Case Study of Marine Mammal Vocalizations
2024 Licciardi, Alessandro; Carbone, Davide; Rondoni, Lamberto
WhaleNet: A Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database
2024 Licciardi, Alessandro; Carbone, Davide
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| WASA: Wavelet Scattering Autoencoders for Unsupervised Offline Detection of Malicious Clients in Federated Learning / Licciardi, A.. - ELETTRONICO. - (2026). (IEEE International Conference on Omni-layer Intelligent Systems (COINS) 2026 Bologna 7 - 9 Settembre 2026). | 1-gen-2026 | Alessandro Licciardi | - |
| Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning / Licciardi, A., Leo, D., Carbone, D.. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 13:11(2026), pp. 24134-24143. [10.1109/JIOT.2026.3671698] | 1-gen-2026 | Licciardi A. + | IEEE Xplore Full-Text PDF_.pdf |
| A Machine Learning Model for Humidity Estimation Based on Physics-Informed Dimensionality Reduction / Licciardi, A., Bernardi, S., Pizzi, M., Begnamino, P., Rondoni, L.. - In: NONLINEAR DYNAMICS. - ISSN 0924-090X. - (2025). [10.1007/s11071-025-11771-3] | 1-gen-2025 | Licciardi, AlessandroPizzi, MarcoRondoni, Lamberto + | s11071-025-11771-3.pdf |
| Interaction-Aware Gaussian Weighting for Clustered Federated Learning / Licciardi, A., Leo, D., Fanì, E., Caputo, B., Ciccone, M.. - ELETTRONICO. - 267:(2025), pp. 1-25. (42nd International Conference on Machine Learning (ICML 2025) Vancouver (Canada) 13/07/2025 - 19/07/2025). | 1-gen-2025 | Alessandro LicciardiDavide LeoBarbara CaputoMarco Ciccone + | fedgwc_camera_ready_def.pdf |
| Wavelet scattering transform for gravitational wave analysis: An application to glitch characterization / Licciardi, A., Carbone, D., Rondoni, L., Nagar, A.. - In: PHYSICAL REVIEW D. - ISSN 2470-0010. - 111:8(2025), pp. 1-10. [10.1103/PhysRevD.111.084044] | 1-gen-2025 | Alessandro LicciardiLamberto RondoniAlessandro Nagar + | wst_gw.pdf; Wavelet scattering transform for gravitational wave analysis_ An application to glitch characterization.pdf |
| Wavelet Scattering Operators for Multiscale Processes: The Case Study of Marine Mammal Vocalizations / Licciardi, A., Carbone, D., Rondoni, L.. - STAMPA. - 314 - 3:(2024), pp. 173-191. (2nd International Conference on Nonlinear Dynamics and Applications Gangtok (India) 21 February 2024 through 23 February 2024) [10.1007/978-3-031-69146-1_15]. | 1-gen-2024 | Alessandro LicciardiDavide CarboneLamberto Rondoni | icnda_24_id340_wstformammals.pdf |
| WhaleNet: A Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database / Licciardi, A., Carbone, D.. - In: IEEE ACCESS. - ISSN 2169-3536. - 12:(2024), pp. 154182-154194. [10.1109/access.2024.3482117] | 1-gen-2024 | Licciardi, Alessandro + | UcSp8k-WhaleNet_A_Novel_Deep_Learning_Architecture_for_Marine_Mammals_Vocalizations_on_Watkins_Marine_Mammal_Sound_Database.pdf |