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Stefano Cereda
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Anno
Movie genome: alleviating new item cold start in movie recommendation
Y Deldjoo, MF Dacrema, MG Constantin, H Eghbal-Zadeh, S Cereda, ...
User Modeling and User-Adapted Interaction 29, 291-343, 2019
1172019
Exploring the semantic gap for movie recommendations
M Elahi, Y Deldjoo, F Bakhshandegan Moghaddam, L Cella, S Cereda, ...
Proceedings of the eleventh acm conference on recommender systems, 326-330, 2017
612017
Cgptuner: a contextual gaussian process bandit approach for the automatic tuning of it configurations under varying workload conditions
S Cereda, S Valladares, P Cremonesi, S Doni
Proceedings of the VLDB Endowment 14 (8), 1401-1413, 2021
582021
A collaborative filtering approach for the automatic tuning of compiler optimisations
S Cereda, G Palermo, P Cremonesi, S Doni
The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools …, 2020
162020
Deriving item features relevance from past user interactions
L Cella, S Cereda, M Quadrana, P Cremonesi
Proceedings of the 25th conference on user modeling, adaptation and …, 2017
142017
Method and apparatus for tuning adjustable parameters in computing environment
D Stefano, GP Gibilisco, S Cereda
US Patent 11,755,451, 2023
132023
A comparison of different neural networks for agricultural image segmentation
S Cereda, M Matteucci
Politecnico di Milano, 2017
62017
Movie genome: alleviating new item cold start in movie recommendation
M Schedl, Y Deldjoo, MF Dacrema, MG Constantin, H Eghbal-zadeh, ...
User Modeling and User-Adapted Interaction, 2019
32019
Constraint-aware performance autotuning in live production environment
S Cereda
12022
Method and system for tuning a computing environment using a knowledge base
S Cereda, P Cremonesi, D Stefano, GP Gibilisco
US Patent App. 17/707,498, 2022
2022
METODO E APPARECCHIATURA PER LA MESSA A PUNTO DI PARAMETRI REGOLABILI IN AMBIENTE INFORMATICO
S Cereda, S Doni, G Gibilisco
2019
Local investigation of performance heterogeneity in a vanadium redox flow bBatteries, coupling experimental and CFD analyses
S CEREDA
Politecnico di Milano, 2017
2017
Estimate features relevance for groups of users
S Cereda, L Cella, P Cremonesi
Italian Information Retrieval Workshop 1911, 80-83, 2017
2017
Go microservices runtime optimization in Kubernetes environment: the importance of garbage collection tuning
S PANOZZO
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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