Giovanni Zappella
Giovanni Zappella
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Citado por
Citado por
Año
Online clustering of bandits
C Gentile, S Li, G Zappella
International Conference on Machine Learning, 757-765, 2014
1222014
A gang of bandits
N Cesa-Bianchi, C Gentile, G Zappella
Advances in Neural Information Processing Systems, 737-745, 2013
832013
Active learning on trees and graphs
N Cesa-Bianchi, C Gentile, F Vitale, G Zappella
MIT Press, 2010
562010
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
512013
On context-dependent clustering of bandits
C Gentile, S Li, P Kar, A Karatzoglou, G Zappella, E Etrue
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
492017
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
362012
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
322013
See the Tree Through the Lines: The Shazoo Algorithm--Full Version--
F Vitale, N Cesa-Bianchi, C Gentile, G Zappella
arXiv preprint arXiv:1301.5160, 2013
28*2013
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
11*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
82010
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
72013
Data-dependent clustering in exploration-exploitation algorithms
S Li, C Gentile, A Karatzoglou, G Zappella
CoRR, abs/1502.03473, 2015
52015
Contextual bandits under delayed feedback
C Vernade, A Carpentier, G Zappella, B Ermis, M Brueckner
arXiv preprint arXiv:1807.02089, 2018
42018
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
Efficient Link Classification in Social Networks
N Cesa-Bianchi, C Gentile, F Vitale, G Zappella
12015
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
Learning on graphs: algorithms for classification and sequential decisions
G Zappella
Università degli Studi di Milano, 2014
2014
A Linear Time Active Learning Algorithm for Link Classification
N Cesa-Bianchi
CoRR, 2013
2013
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Artículos 1–20