NAVARIN, NICOLO'
NAVARIN, NICOLO'
Dipartimento di Matematica "Tullio Levi-Civita" - DM
A framework for the definition of complex structured feature spaces
2020 Navarin, N.; Tran, V. D.; Sperduti, A.
A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget
2013 DA SAN MARTINO, Giovanni; Navarin, Nicolo'; Sperduti, Alessandro
A Memory Efficient Graph Kernel
2012 DA SAN MARTINO, Giovanni; Navarin, Nicolo'; Sperduti, Alessandro
A systematic assessment of deep learning models for molecule generation
2020 Rigoni, D.; Navarin, N.; Sperduti, A.
A systematic review of value-aware recommender systems
2023 De Biasio, A.; Montagna, A.; Aiolli, F.; Navarin, N.
A Tree-Based Kernel for Graphs
2012 DA SAN MARTINO, Giovanni; Navarin, Nicolo'; Sperduti, Alessandro
Advances in learning with kernels: Theory and practice in a world of growing constraints
2016 Oneto, Luca; Navarin, Nicolo'; Donini, Michele; Aiolli, Fabio; Anguita, Davide
An efficient graph kernel method for non-coding RNA functional prediction
2017 Navarin, Nicolo'; Costa, Fabrizio
An empirical study on budget-aware online kernel algorithms for streams of graphs
2016 DA SAN MARTINO, Giovanni; Navarin, Nicolo'; Sperduti, Alessandro
An explainable decision support system for predictive process analytics
2023 Galanti, Riccardo; DE LEONI, Massimiliano; Monaro, Merylin; Navarin, Nicolo'; Marazzi, Alan; DI STASI, Brigida; Maldera, Stephanie
Approximated Neighbours MinHash Graph Node Kernel
2017 Navarin, Nicolo'; Sperduti, Alessandro
Author Correction: Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’ (Nature, (2020), 584, 7821, (425-429), 10.1038/s41586-020-2488-1)
2021 Lavezzo, E.; Franchin, E.; Ciavarella, C.; Cuomo-Dannenburg, G.; Barzon, L.; Del Vecchio, C.; Rossi, L.; Manganelli, R.; Loregian, A.; Navarin, N.; Abate, D.; Sciro, M.; Merigliano, S.; De Canale, E.; Vanuzzo, M. C.; Besutti, V.; Saluzzo, F.; Onelia, F.; Pacenti, M.; Parisi, S. G.; Carretta, G.; Donato, D.; Flor, L.; Cocchio, S.; Masi, G.; Sperduti, A.; Cattarino, L.; Salvador, R.; Nicoletti, M.; Caldart, F.; Castelli, G.; Nieddu, E.; Labella, B.; Fava, L.; Drigo, M.; Gaythorpe, K. A. M.; Ainslie, K. E. C.; Baguelin, M.; Bhatt, S.; Boonyasiri, A.; Boyd, O.; Coupland, H. L.; Cucunuba, Z.; Djafaara, B. A.; van Elsland, S. L.; Fitzjohn, R.; Flaxman, S.; Green, W. D.; Hallett, T.; Hamlet, A.; Haw, D.; Imai, N.; Jeffrey, B.; Knock, E.; Laydon, D. J.; Mellan, T.; Mishra, S.; Nedjati-Gilani, G.; Nouvellet, P.; Okell, L. C.; Parag, K. V.; Riley, S.; Thompson, H. A.; Unwin, H. J. T.; Verity, R.; Vollmer, M. A. C.; Walker, P. G. T.; Walters, C. E.; Wang, H.; Wang, Y.; Watson, O. J.; Whittaker, C.; Whittles, L. K.; Xi, X.; Brazzale, A. R.; Toppo, S.; Trevisan, M.; Baldo, V.; Donnelly, C. A.; Ferguson, N. M.; Dorigatti, I.; Crisanti, A.
Backpropagation-free Graph Neural Networks
2022 Pasa, L.; Navarin, N.; Erb, W.; Sperduti, A.
Compact graph neural network models for node classification
2022 Pasa, L.; Navarin, N.; Sperduti, A.
Complex Data: Learning Trustworthily, Automatically, and with Guarantees
2021 Oneto, L.; Navarin, N.; Biggio, B.; Errica, F.; Micheli, A.; Scarselli, F.; Bianchini, M.; Sperduti, A.
Conditional Constrained Graph Variational Autoencoders for Molecule Design
2020 Rigoni, Davide; Navarin, Nicolo'; Sperduti, Alessandro
Deep fair models for complex data: Graphs labeling and explainable face recognition
2022 Franco, D.; Navarin, N.; Donini, M.; Anguita, D.; Oneto, L.
Deep graph node kernels: A convex approach
2017 Oneto, Luca; Navarin, Nicolò; Sperduti, Alessandro; Anguita, Davide
Deep recurrent graph neural networks
2020 Pasa, L.; Navarin, N.; Sperduti, A.
DEEP: Decomposition Feature Enhancement Procedure for Graphs
2018 Van Tran, Dinh; Navarin, Nicolo'; Sperduti, Alessandro