Nicolò Navarin
Titolo
Citata da
Citata da
Anno
Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’
E Lavezzo, E Franchin, C Ciavarella, G Cuomo-Dannenburg, L Barzon, ...
Nature 584 (7821), 425-429, 2020
258*2020
A tree-based kernel for graphs.
G Da San Martino, N Navarin, A Sperduti
Twelfth SIAM International Conference on Data Mining, 975-986, 2012
442012
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
262017
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
212018
Multiple Graph-Kernel Learning
F Aiolli, M Donini, N Navarin, A Sperduti
IEEE Symposium on Computational Intelligence and Data Mining, 2015
182015
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
172012
Ordered Decompositional DAG Kernels Enhancements
G Da San Martino, N Navarin, A Sperduti
Neurocomputing 192, 92-103, 2016
162016
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
152013
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
142017
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
142017
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), 1-12, 2018
102018
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
Pre-training graph neural networks with kernels
N Navarin, DV Tran, A Sperduti
arXiv preprint arXiv:1811.06930, 2018
72018
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
72016
Multi-task learning for the prediction of wind power ramp events with deep neural networks
M Dorado-Moreno, N Navarin, PA Gutiérrez, L Prieto, A Sperduti, ...
Neural Networks 123, 401-411, 2020
62020
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
62017
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
62014
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
P Brown, AC Tan, MA El-Esawi, T Liehr, O Blanck, DP Gladue, ...
Database 2019, 2019
42019
An efficient graph kernel method for non-coding RNA functional prediction
N Navarin, F Costa
Bioinformatics 33 (17), 2642-2650, 2017
42017
Approximated Neighbours MinHash Graph Node Kernel
N Navarin, A Sperduti
ESANN 2017 proceedings, European Symposium on Artificial Neural Networks …, 2017
42017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20