FERRARI DACREMA, MAURIZIO

FERRARI DACREMA, MAURIZIO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

Dacrema M.F.; Ferrari Dacrema, Maurizio; Dacrema, Maurizio Ferrari  

Mostra records
Risultati 1 - 20 di 41 (tempo di esecuzione: 0.029 secondi).
Titolo Data di pubblicazione Autori File
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels 1-gen-2021 Felicioni N.Ferrari Dacrema M.Cremonesi P.
A Novel Graph-based Model for Hybrid Recommendations in Cold-start Scenarios 1-gen-2018 Bernardis, CesareFerrari Dacrema, MaurizioCremonesi, Paolo
Aggregating models for anomaly detection in space systems: Results from the FCTMAS study 1-gen-2019 Amigoni, FrancescoFerrari Dacrema, MaurizioLavagna, Michèle +
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering 1-gen-2022 Pérez Maurera, Fernando BenjamínFerrari Dacrema, MaurizioCremonesi, Paolo
Are we Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches 1-gen-2019 Ferrari Dacrema, MaurizioCremonesi, Paolo +
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario 1-gen-2018 Antenucci, SebastianoBoglio, SimoneChioso, EmanueleDervishaj, ErvinKang, ShuwenScarlatti, TommasoFerrari Dacrema, Maurizio.
Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances 1-gen-2023 Turati G.Ferrari Dacrema M.Cremonesi P.
Benchmarking adaptative variational quantum algorithms on QUBO instances (Extended Abstract) 1-gen-2023 Turati G.Ferrari Dacrema M.Cremonesi P.
Characterizing Impression-Aware Recommender Systems 1-gen-2023 Perez Maurera F. B.Ferrari Dacrema M.Cremonesi P. +
ContentWise Impressions: An Industrial Dataset with Impressions Included 1-gen-2020 Perez Maurera, Fernando B.Ferrari Dacrema, MaurizioCremonesi, Paolo +
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems 1-gen-2020 Ferrari Dacrema, MaurizioCremonesi, Paolo +
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract) 1-gen-2021 Ferrari Dacrema, Maurizio
Deriving Item Features Relevance from Collaborative Domain Knowledge 1-gen-2018 Ferrari Dacrema, MaurizioGasparin, AlbertoCremonesi, Paolo
Does the structure of the QUBO problem affect the effectiveness of quantum annealing? An empirical perspective 1-gen-2023 Pellini R.Ferrari Dacrema M.Cremonesi P.
Eigenvalue Analogy for Confidence Estimation in Item-Based Recommender Systems 1-gen-2018 Ferrari Dacrema, MaurizioCremonesi, Paolo
Estimating confidence of individual user predictions in item-based recommender systems 1-gen-2019 Bernardis C.Ferrari Dacrema M.Cremonesi P.
Evaluating Recommendations in a User Interface With Multiple Carousels 1-gen-2022 Ferrari Dacrema, MaurizioFelicioni, NicolòCremonesi, Paolo
Feature Selection for Classification with QAOA 1-gen-2022 Turati G.Ferrari Dacrema M.Cremonesi P.
Feature Selection via Quantum Annealers for Ranking and Classification Tasks 1-gen-2022 Ferrari Dacrema, MaurizioMoroni, FabioNembrini, RiccardoCremonesi, Paolo +
Impressions in Recommender Systems: Present and Future 1-gen-2023 Perez Maurera F.Ferrari Dacrema M.Cremonesi P. +