| Online clustering of bandits C Gentile, S Li, G Zappella International Conference on Machine Learning, 757-765, 2014 | 163 | 2014 |
| A gang of bandits N Cesa-Bianchi, C Gentile, G Zappella Advances in neural information processing systems, 737-745, 2013 | 118 | 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 | 79* | 2017 |
| Active learning on trees and graphs N Cesa-Bianchi, C Gentile, F Vitale, G Zappella MIT Press, 2010 | 58 | 2010 |
| Random spanning trees and the prediction ofweighted graphs N Cesa-Bianchi, C Gentile, F Vitale, G Zappella The Journal of Machine Learning Research 14 (1), 1251-1284, 2013 | 55 | 2013 |
| A correlation clustering approach to link classification in signed networks N Cesa-Bianchi, C Gentile, F Vitale, G Zappella Annual Conference on Learning Theory 23, 34.1-34.20, 2012 | 45 | 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 | 35 | 2013 |
| See the tree through the lines: The shazoo algorithm F Vitale, N Cesa-Bianchi, C Gentile, G Zappella Advances in Neural Information Processing Systems, 1584-1592, 2011 | 31 | 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 | 13* | 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 | 9* | 2020 |
| 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 | 8 | 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, 2013 | 7 | 2013 |
| A Linear Bandit for Seasonal Environments G Di Benedetto, V Bellini, G Zappella arXiv preprint arXiv:2004.13576, 2020 | 2 | 2020 |
| 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 |
| A scalable multiclass algorithm for node classification G Zappella arXiv preprint arXiv:1112.4344, 2011 | 2 | 2011 |
| A Correlation Clustering Approach to Link Classification in Signed Networks--Full Version-- N Cesa-Bianchi, C Gentile, F Vitale, G Zappella arXiv preprint arXiv:1301.4769, 2013 | 1 | 2013 |
| 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 | | 2020 |
| Learning to Rank in the Position Based Model with Bandit Feedback B Ermis, P Ernst, Y Stein, G Zappella arXiv preprint arXiv:2004.13106, 2020 | | 2020 |
| Machine learning-based literary work ranking and recommendation system G Zappella US Patent 10,366,343, 2019 | | 2019 |
Claudio GentileGoogle Research, New York, USAVerified email at google.com
