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ORCIDStefano Cereda
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2020 – today
- 2022
[b1]Stefano Cereda:
Constraint-aware performance autotuning in live production environment. Polytechnic University of Milan, Italy, 2022- 2021
- [j2]Stefano Cereda, Stefano Valladares, Paolo Cremonesi, Stefano Doni:
CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions. Proc. VLDB Endow. 14(8): 1401-1413 (2021) - 2020
- [c4]Stefano Cereda
, Gianluca Palermo, Paolo Cremonesi, Stefano Doni:
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations. LCTES 2020: 15-25 - [i1]Stefano Cereda, Gianluca Palermo, Paolo Cremonesi, Stefano Doni:
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations. CoRR abs/2005.04092 (2020)
2010 – 2019
- 2019
- [j1]Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi:
Movie genome: alleviating new item cold start in movie recommendation. User Model. User Adapt. Interact. 29(2): 291-343 (2019) - 2017
- [c3]Stefano Cereda, Leonardo Cella, Paolo Cremonesi:
Estimate Features Relevance for Groups of Users. IIR 2017: 80-83 - [c2]Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi:
Exploring the Semantic Gap for Movie Recommendations. RecSys 2017: 326-330 - [c1]Leonardo Cella, Stefano Cereda, Massimo Quadrana, Paolo Cremonesi:
Deriving Item Features Relevance from Past User Interactions. UMAP 2017: 275-279
Coauthor Index
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