Nicolò Navarin
TitleCited byYear
A tree-based kernel for graphs.
G Da San Martino, N Navarin, A Sperduti
Twelfth SIAM International Conference on Data Mining, 975-986, 2012
362012
LSTM networks for data-aware remaining time prediction of business process instances
N Navarin, B Vincenzi, M Polato, A Sperduti
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
162017
Ordered Decompositional DAG Kernels Enhancements
G Da San Martino, N Navarin, A Sperduti
Neurocomputing 192, 92-103, 2016
132016
A lossy counting based approach for learning on streams of graphs on a budget
G Da San Martino, N Navarin, A Sperduti
Proceedings of the Twenty-Third international joint conference on Artificial …, 2013
132013
A memory efficient graph kernel
G Da San Martino, N Navarin, A Sperduti
Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-7, 2012
132012
Multiple Graph-Kernel Learning
F Aiolli, M Donini, N Navarin, A Sperduti
IEEE Symposium on Computational Intelligence and Data Mining, 2015
112015
Measuring the expressivity of graph kernels through statistical learning theory
L Oneto, N Navarin, M Donini, A Sperduti, F Aiolli, D Anguita
Neurocomputing 268, 4-16, 2017
82017
Exploiting the ODD framework to define a novel effective graph kernel
G Da San Martino, N Navarin, A Sperduti
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2015
82015
On Filter Size in Graph Convolutional Networks
D Van Tran, N Navarin, A Sperduti
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1534-1541, 2018
72018
Tree-based kernel for graphs with continuous attributes
G Da San Martino, N Navarin, A Sperduti
IEEE transactions on neural networks and learning systems 29 (7), 3270-3276, 2017
62017
Hyper-parameter tuning for graph kernels via multiple kernel learning
CM Massimo, N Navarin, A Sperduti
International Conference on Neural Information Processing, 214-223, 2016
52016
Scuba: scalable kernel-based gene prioritization
G Zampieri, D Van Tran, M Donini, N Navarin, F Aiolli, A Sperduti, G Valle
BMC bioinformatics 19 (1), 23, 2018
42018
Graph kernels exploiting weisfeiler-lehman graph isomorphism test extensions
G Da San Martino, N Navarin, A Sperduti
International Conference on Neural Information Processing, 93-100, 2014
42014
Learning with kernels: a local rademacher complexity-based analysis with application to graph kernels
L Oneto, N Navarin, M Donini, S Ridella, A Sperduti, F Aiolli, D Anguita
IEEE transactions on neural networks and learning systems 29 (10), 4660-4671, 2017
32017
Extending local features with contextual information in graph kernels
N Navarin, A Sperduti, R Tesselli
International Conference on Neural Information Processing, 271-279, 2015
32015
Pre-training Graph Neural Networks with Kernels
N Navarin, DV Tran, A Sperduti
arXiv preprint arXiv:1811.06930, 2018
22018
Approximated Neighbours MinHash Graph Node Kernel
N Navarin, A Sperduti
ESANN 2017 proceedings, European Symposium on Artificial Neural Networks …, 2017
22017
Measuring the Expressivity of Graph Kernels through the Rademacher Complexity.
L Oneto, N Navarin, M Donini, A Sperduti, F Aiolli, D Anguita
ESANN, 2016
22016
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity
L Oneto, N Navarin, A Sperduti, D Anguita
Neural Processing Letters 48 (2), 649-667, 2018
12018
An efficient graph kernel method for non-coding RNA functional prediction
N Navarin, F Costa
Bioinformatics 33 (17), 2642-2650, 2017
12017
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