Archivio Istituzionale della RicercaPISANI, ANDREA
PISANI, ANDREA
Dipartimento di Automatica e Informatica
105753
From Sequences to Profiles: Generating Universal Behavioral Profiles exploiting Recurrent Neural Networks
2025 Colecchia, Simone; Orazio Drago, Mauro; Founoun, Jihad; Gennaro, Paolo; Natuzzi, Ernesto; Pagano, Luca; Shaffaf, Sajjad; Vitello, Giuseppe; Pisani, Andrea; Ferrari Dacrema, Maurizio
On the Longitudinal Impact of Exposure Bias in Recommender Systems
2025 Pisani, Andrea
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
Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems
2024 Cecere, N.; Pisani, A.; Dacrema, M. F.; Cremonesi, P.
Pre-Trained LLM Embeddings of Product Reviews for Recommendation
2024 Pisani, A.; Cecere, N.; Dacrema, M. F.; Cremonesi, P.
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 |
|---|---|---|---|
| From Sequences to Profiles: Generating Universal Behavioral Profiles exploiting Recurrent Neural Networks / Colecchia, S., Orazio Drago, M., Founoun, J., Gennaro, P., Natuzzi, E., Pagano, L., Shaffaf, S., Vitello, G., Pisani, A., Ferrari Dacrema, M.. - (2025), pp. 31-35. (RecSysChallenge '25: ACM RecSys Challenge 2025 Prague (CZ) 22 September 2025) [10.1145/3758126.3758133]. | 1-gen-2025 | Andrea Pisani + | 2025_ACM_RecSys_Challenge_Pisani_et_al_From_Sequences_to_Profiles.pdf |
| On the Longitudinal Impact of Exposure Bias in Recommender Systems / Pisani, A.. - 15576:(2025), pp. 178-183. (47th European Conference on Information Retrieval Lucca (IT) 6-10 aprile 2025) [10.1007/978-3-031-88720-8_29]. | 1-gen-2025 | Andrea Pisani | 978-3-031-88720-8_29.pdf; On_the_Longitudinal_Impact_of_Exposure_Bias_in_Recommender_Systems.pdf |
| Exploiting Contextual Normalizations and Article Endorsement for News Recommendation / Alari, A., Campana, L., Giuseppe Ciliberto, F., Maggese, S., Sgaravatti, C., Zanella, F., Pisani, A., Ferrari Dacrema, M.. - (2024), pp. 17-21. (RecSys Challenge '24: ACM RecSys Challenge 2024 Bari (IT) October 14 - 18, 2024) [10.1145/3687151.3687154]. | 1-gen-2024 | Andrea Pisani + | 3687151.3687154.pdf |
| Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems / Cecere, N., Pisani, A., Dacrema, M.F., Cremonesi, P.. - 3802:(2024), pp. 87-90. (14th Italian Information Retrieval Workshop, IIR 2024 Udine (ITA) September 5-6, 2024). | 1-gen-2024 | Pisani A. + | 2024_IIR_Pisani_et_al_Leveraging_Semantic_Embeddings_of_User_Reviews_with_Off_the_Shelf_LLMs_for_Recommender_Systems.pdf |
| Pre-Trained LLM Embeddings of Product Reviews for Recommendation / Pisani, A., Cecere, N., Dacrema, M.F., Cremonesi, P.. - 3802:(2024), pp. 91-94. (14th Italian Information Retrieval Workshop, IIR 2024 Udine (IT) September 5-6, 2024). | 1-gen-2024 | Pisani A. + | 2024_IIR_Pisani_et_al_Pre_Trained_LLM_Embeddings_of_Product_Reviews_for_Recommendation.pdf |
| Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network / Pau, D., Pisani, A., Candelieri, A.. - 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, A., Pisani, A., Pau, D.. - (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. ( 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) Milano (ITA) 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, D., Pisani, A., Aymone, F.M., Ferrari, G.. - 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 |