Sfoglia per Relatore
A context-aware recommender system by means of facial expressions and pairwise comparisons
2017/2018 MALEKI, NIMA
A feature-based machine learning approach for the cold start item problem
2016/2017 BIANCHI, MATTIA
A novel graph-based model for hybrid recommendations in cold-start scenarios
2016/2017 BERNARDIS, CESARE
A user study on novelty and diversity in recommender systems
2017/2018 PELLIZZARI, FILIPPO
Algorithms for Sequence-Aware Recommender Systems
QUADRANA, MASSIMO
An assessment of reproducibility and methodological issues in neural recommender systems research
2019/2020 Ferrari Dacrema, Maurizio
Analysis of deep learning loss functions for multi-label remote sensing image classification
2018/2019 YESSOU, HICHAME
An analysis of reproducibility and experimental results comparison in cross-domain recommender systems using deep learning
2019/2020 CECCHI, FLAVIA
Assessing and improving Data Quality using Machine Learning and control charts
2021/2022 D'Angelo, Stefano
Assessing the effectiveness of rating pattern transfer models for recommender systems
2020/2021 Bozzano, Giovanni
An assessment of recent techniques for question difficulty estimation from text
2021/2022 Benedetto, Luca
Automated feature engineering for recommender systems
2017/2018 INAJJAR, ILYAS
Automatic performance tuning with past knowledge
2019/2020 ZENARI, GIOVANNI
Automatic recommendation survey system : Movish
2011/2012 AMPOLO, VINCENZO
Automatic summarization as decision making support tool
2014/2015 GUSMEROLI, FRANCESCO
Bayesian optimization for ensemble hyperparameters in job recommendation
2016/2017 CESARO, FEDERICO
Bayesian personalized ranking sampling techniques
2020/2021 Moreschini, Matteo
Benchmarking and modeling of multi-threaded multi-core processors
2012/2013 SAIDOV, RUSTAM
Box office prediction and transfer learning : a study on the US and Swedish market
2018/2019 FOLLONI, ALESSANDRO
Caratterizzazione degli utenti televisivi per la selezione di pubblicità mirata
2010/2011 COLOMBO, PAOLO
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