| Online clustering of bandits C Gentile, S Li, G Zappella International Conference on Machine Learning, 757-765, 2014 | 228 | 2014 |
| A gang of bandits N Cesa-Bianchi, C Gentile, G Zappella Advances in neural information processing systems 26, 2013 | 140 | 2013 |
| On context-dependent clustering of bandits C Gentile, S Li, P Kar, A Karatzoglou, G Zappella, E Etrue International Conference on Machine Learning, 1253-1262, 2017 | 111 | 2017 |
| Active learning on trees and graphs N Cesa-Bianchi, C Gentile, F Vitale, G Zappella MIT Press, 2010 | 63 | 2010 |
| Random spanning trees and the prediction of weighted graphs N Cesa-Bianchi, C Gentile, F Vitale, G Zappella Journal of Machine Learning Research 14 (1), 1251-1284, 2013 | 56 | 2013 |
| A correlation clustering approach to link classification in signed networks N Cesa-Bianchi, C Gentile, F Vitale, G Zappella Conference on Learning Theory, 34.1-34.20, 2012 | 51 | 2012 |
| Modelling political disaffection from Twitter data C Monti, A Rozza, G Zappella, M Zignani, A Arvidsson, E Colleoni Proceedings of the second international workshop on issues of sentiment …, 2013 | 40 | 2013 |
| Linear bandits with stochastic delayed feedback C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner International Conference on Machine Learning, 9712-9721, 2020 | 30* | 2020 |
| See the tree through the lines: The shazoo algorithm F Vitale, N Cesa-Bianchi, C Gentile, G Zappella Advances in Neural Information Processing Systems 24, 2011 | 30 | 2011 |
| A Linear Time Active Learning Algorithm for Link Classification--Full Version-- N Cesa-Bianchi, C Gentile, F Vitale, G Zappella arXiv preprint arXiv:1301.4767, 2013 | 14* | 2013 |
| Active learning on graphs via spanning trees N Cesa-Bianchi, C Gentile, F Vitale, G Zappella NIPS Workshop on Networks Across Disciplines, 1-27, 2010 | 11 | 2010 |
| Games of friends: a game-theoretical approach for link prediction in online social networks G Zappella, A Karatzoglou, L Baltrunas Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 8 | 2013 |
| Learning to rank in the position based model with bandit feedback B Ermis, P Ernst, Y Stein, G Zappella Proceedings of the 29th ACM International Conference on Information …, 2020 | 6 | 2020 |
| A linear bandit for seasonal environments G Di Benedetto, V Bellini, G Zappella arXiv preprint arXiv:2004.13576, 2020 | 4 | 2020 |
| Optimized selection and delivery of content G Zappella, CPCJG Archambeau US Patent 10,242,381, 2019 | 4 | 2019 |
| Offline simulation system for optimizing content pages G Zappella, CPCJG Archambeau, ET Banti, M Brueckner, B Marchenko, ... US Patent 10,977,149, 2021 | 2 | 2021 |
| Personalizing natural language understanding using multi-armed bandits and implicit feedback F Moerchen, P Ernst, G Zappella Proceedings of the 29th ACM International Conference on Information …, 2020 | 2 | 2020 |
| Data mining system for assessing pairwise item similarity G Zappella US Patent 10,162,868, 2018 | 2 | 2018 |
| An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. O Ali, G Zappella, T De Bie, N Cristianini ICPRAM (2), 259-268, 2012 | 2 | 2012 |
| A fast active learning algorithm for link classification N Cesa-Bianchi, C Gentile, F Vitale, G Zappella 13th Italian Conference on Theoretical Computer Science (ICTCS 2012), 2012 | 2 | 2012 |
Claudio GentileGoogle Research, New York, USAVerified email at google.com
