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PISANI, ANDREA

PISANI, ANDREA  

Dipartimento di Automatica e Informatica  

105753  

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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.009 secondi).
Citazione Data di pubblicazione Autori File
From Sequences to Profiles: Generating Universal Behavioral Profiles exploiting Recurrent Neural Networks / Colecchia, Simone; Orazio Drago, Mauro; Founoun, Jihad; Gennaro, Paolo; Natuzzi, Ernesto; Pagano, Luca; Shaffaf, Sajjad; Vitello, Giuseppe; Pisani, Andrea; Ferrari Dacrema, Maurizio. - (2025), pp. 31-35. (Intervento presentato al convegno RecSysChallenge '25: ACM RecSys Challenge 2025 tenutosi a Prague (CZ) nel 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, Andrea. - 15576:(2025), pp. 178-183. (Intervento presentato al convegno 47th European Conference on Information Retrieval tenutosi a Lucca (IT) nel 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, 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
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. (Intervento presentato al convegno 14th Italian Information Retrieval Workshop, IIR 2024 tenutosi a Udine (ITA) nel 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. (Intervento presentato al convegno 14th Italian Information Retrieval Workshop, IIR 2024 tenutosi a Udine (IT) nel 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, 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