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2020 – today
- 2024
[j3]Alessandro Margara
, Gianpaolo Cugola, Nicolò Felicioni, Stefano Cilloni:
A Model and Survey of Distributed Data-Intensive Systems. ACM Comput. Surv. 56(1): 16:1-16:69 (2024)- [j2]Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek:
On the Importance of Uncertainty in Decision-Making with Large Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [i5]Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek:
On the Importance of Uncertainty in Decision-Making with Large Language Models. CoRR abs/2404.02649 (2024) - [i4]Nicolò Felicioni, Michael Benigni, Maurizio Ferrari Dacrema:
AutoOPE: Automated Off-Policy Estimator Selection. CoRR abs/2406.18022 (2024) - 2022
- [j1]Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi:
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels. Frontiers Big Data 5: 910030 (2022) - [c8]Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi:
Evaluating Recommendations in a User Interface With Multiple Carousels. IIR 2022 - [c7]Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli, Paolo Cremonesi:
Off-Policy Evaluation with Deficient Support Using Side Information. NeurIPS 2022 - [c6]Nicolò Felicioni:
Enhancing Counterfactual Evaluation and Learning for Recommendation Systems. RecSys 2022: 739-741 - [i3]Alessandro Margara, Gianpaolo Cugola, Nicolò Felicioni, Stefano Cilloni:
A Model and Survey of Distributed Data-Intensive Systems. CoRR abs/2203.10836 (2022) - 2021
- [c5]Nicolò Felicioni, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Paolo Cremonesi:
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting. IIR 2021 - [c4]Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi:
Optimizing the Selection of Recommendation Carousels with Quantum Computing. RecSys 2021: 691-696 - [c3]Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. IMX 2021: 212-217 - [c2]Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi:
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels. UMAP (Adjunct Publication) 2021: 10-15 - [i2]Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi:
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels. CoRR abs/2105.06275 (2021) - [i1]Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. CoRR abs/2105.07062 (2021) - 2020
- [c1]Nicolò Felicioni, Andrea Donati, Luca Conterio, Luca Bartoccioni, Davide Yi Xian Hu, Cesare Bernardis, Maurizio Ferrari Dacrema:
Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction. RecSys Challenge 2020: 29-33
Coauthor Index
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last updated on 2024-08-10 01:25 CEST by the dblp team
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