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ORCIDGabriele Sottocornola
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2020 – today
- 2023
[j3]Emanuele Cavenaghi
, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems. Trans. Recomm. Syst. 1(3): 1-23 (2023)- [c11]Aleix Ruiz de Villa, Gabriele Sottocornola, Ludovik Coba, Giovanni Maffei, Federico Lucchesi, João Guerreiro, Bartlomiej Skorulski:
Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being. UMAP 2023: 228-237 - 2022
- [j2]Gabriele Sottocornola, Sanja Baric, Maximilian Nocker, Fabio Stella, Markus Zanker:
Picture-based and conversational decision support to diagnose post-harvest apple diseases. Expert Syst. Appl. 189: 116052 (2022) - [c10]Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
An Analysis of User Click Behaviour in Online Hotel Search. IIR 2022 - [c9]Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
An Online Experiment of a Price-Based Re-Rank Algorithm. RecTour@RecSys 2022: 83-91 - 2021
- [j1]Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm. Entropy 23(3): 380 (2021) - [c8]Gabriele Sottocornola, Sanja Baric, Fabio Stella, Markus Zanker:
Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper). KaRS/ComplexRec@RecSys 2021 - [c7]Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple. WI/IAT 2021: 241-248 - [i2]Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases. CoRR abs/2102.04214 (2021) - 2020
- [c6]Gabriele Sottocornola, Maximilian Nocker, Fabio Stella, Markus Zanker:
Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple. IUI 2020: 83-87 - [c5]Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi:
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. RecSys 2020: 623-627 - [i1]Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi:
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. CoRR abs/2004.13715 (2020)
2010 – 2019
- 2019
- [c4]Armin Niederkofler, Sanja Baric, Giancarlo Guizzardi, Gabriele Sottocornola, Markus Zanker:
Knowledge Models for Diagnosing Postharvest Diseases of Apples. JOWO 2019 - 2018
- [c3]Maximilian Nocker, Gabriele Sottocornola, Markus Zanker, Sanja Baric, Greice Amaral Carneiro, Fabio Stella:
Picture-based navigation for diagnosing post-harvest diseases of apple. RecSys 2018: 506-507 - [c2]Gabriele Sottocornola, Panagiotis Symeonidis, Markus Zanker:
Session-based News Recommendations. WWW (Companion Volume) 2018: 1395-1399 - 2017
- [c1]Gabriele Sottocornola, Fabio Stella, Markus Zanker, Francesco Canonaco:
Towards a deep learning model for hybrid recommendation. WI 2017: 1260-1264
Coauthor Index
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