Archivio Istituzionale della RicercaPISANI, ANDREA
PISANI, ANDREA
Dipartimento di Automatica e Informatica
105753
Exploiting Contextual Normalizations and Article Endorsement for News Recommendation
2024 Alari, Andrea; Campana, Lorenzo; Giuseppe Ciliberto, Federico; Maggese, Saverio; Sgaravatti, Carlo; Zanella, Francesco; Pisani, Andrea; Ferrari Dacrema, Maurizio
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network
2024 Pau, Danilo; Pisani, Andrea; Candelieri, Antonio
On the Reproducibility of Experiments achieved by TinyRCE
2023 Carra, Alessandro; Pisani, Andrea; Pau, Danilo
TinyRCE: Forward Learning Under Tiny Constraints
2023 Pau, Danilo; Ambrose, Prem Kumar; Pisani, Andrea; Aymone, Fabrizio M.
{TinyRCE}: Multi Purpose Forward Learning for Resource Restricted Devices
2023 Pietro Pau, Danilo; Pisani, Andrea; Aymone, Fabrizio M.; Ferrari, Gianluigi
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Exploiting Contextual Normalizations and Article Endorsement for News Recommendation / Alari, Andrea; Campana, Lorenzo; Giuseppe Ciliberto, Federico; Maggese, Saverio; Sgaravatti, Carlo; Zanella, Francesco; Pisani, Andrea; Ferrari Dacrema, Maurizio. - (2024), pp. 17-21. (Intervento presentato al convegno RecSys Challenge '24: ACM RecSys Challenge 2024 tenutosi a Bari (IT) nel October 14 - 18, 2024) [10.1145/3687151.3687154]. | 1-gen-2024 | Andrea Pisani + | 3687151.3687154.pdf |
| Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network / Pau, Danilo; Pisani, Andrea; Candelieri, Antonio. - In: ALGORITHMS. - ISSN 1999-4893. - 17:1(2024). [10.3390/a17010022] | 1-gen-2024 | Andrea Pisani + | algorithms-17-00022.pdf |
| On the Reproducibility of Experiments achieved by TinyRCE / Carra, Alessandro; Pisani, Andrea; Pau, Danilo. - (2023). [10.36227/techrxiv.24163929.v1] | 1-gen-2023 | Pisani, Andrea + | paper3_DPrev_APrev_ACrev.pdf |
| TinyRCE: Forward Learning Under Tiny Constraints / Pau, Danilo; Ambrose, Prem Kumar; Pisani, Andrea; Aymone, Fabrizio M.. - (2023), pp. 295-300. (Intervento presentato al convegno 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) tenutosi a Milano (ITA) nel 25-27 October 2023) [10.1109/MetroXRAINE58569.2023.10405784]. | 1-gen-2023 | Pisani, Andrea + | TinyRCE_Forward_Learning_Under_Tiny_Constraints.pdf; TinyRCE_REVIEWED_camera_ready.pdf |
| {TinyRCE}: Multi Purpose Forward Learning for Resource Restricted Devices / Pietro Pau, Danilo; Pisani, Andrea; Aymone, Fabrizio M.; Ferrari, Gianluigi. - In: IEEE SENSORS LETTERS. - ISSN 2475-1472. - 7:10(2023), pp. 1-4. [10.1109/lsens.2023.3307119] | 1-gen-2023 | Andrea Pisani + | TinyRCE_Multipurpose_Forward_Learning_for_Resource_Restricted_Devices.pdf; LSENS3307119.pdf |