Nicolò Felicioni

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Evaluation Criteria

Highly Imbalanced

Globally Distributed

Top Venues

UMAP (Adjunct Publication)

Publications

Nicolò Felicioni, Michael Benigni, Maurizio Ferrari Dacrema
AutoOPE: Automated Off-Policy Estimator Selection. CoRR (2024)
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)
Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek
On the Importance of Uncertainty in Decision-Making with Large Language Models. CoRR (2024)
Alessandro Margara, Gianpaolo Cugola, Nicolò Felicioni, Stefano Cilloni
A Model and Survey of Distributed Data-Intensive Systems. ACM Comput. Surv. 56 (1) (2024)
Alessandro Margara, Gianpaolo Cugola, Nicolò Felicioni, Stefano Cilloni
A Model and Survey of Distributed Data-Intensive Systems. CoRR (2022)
Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
Evaluating Recommendations in a User Interface With Multiple Carousels. IIR (2022)
Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels. Frontiers Big Data 5 (2022)
Nicolò Felicioni
Enhancing Counterfactual Evaluation and Learning for Recommendation Systems. RecSys (2022)
Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli, Paolo Cremonesi
Off-Policy Evaluation with Deficient Support Using Side Information. NeurIPS (2022)
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)
Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels. CoRR (2021)
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)
Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. IMX (2021)
Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. CoRR (2021)
Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
Optimizing the Selection of Recommendation Carousels with Quantum Computing. RecSys (2021)
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)