Giovanni Zappella
Giovanni Zappella
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Title
Cited by
Cited by
Year
Online clustering of bandits
C Gentile, S Li, G Zappella
International Conference on Machine Learning, 757-765, 2014
1912014
A gang of bandits
N Cesa-Bianchi, C Gentile, G Zappella
arXiv preprint arXiv:1306.0811, 2013
1262013
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
92*2017
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
612013
Active learning on trees and graphs
N Cesa-Bianchi, C Gentile, F Vitale, G Zappella
MIT Press, 2010
612010
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
482012
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
382013
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
332011
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
20*2020
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
102010
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
92013
A linear bandit for seasonal environments
G Di Benedetto, V Bellini, G Zappella
arXiv preprint arXiv:2004.13576, 2020
42020
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
32020
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
22012
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
22012
A scalable multiclass algorithm for node classification
G Zappella
arXiv preprint arXiv:1112.4344, 2011
22011
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
12020
Automated graph-based identification of early adopter users
G Zappella, M Ackermann, R Jenatton, DS Palfrey, ST Sandler
US Patent 10,049,375, 2018
12018
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
12013
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