NAVARIN, NICOLO'

NAVARIN, NICOLO'  

Dipartimento di Matematica "Tullio Levi-Civita" - DM  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A framework for the definition of complex structured feature spaces 2020 Navarin N.Sperduti A. + NEUROCOMPUTING - -
A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget 2013 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - Proceedings of the 23rd International Joint Conference on Artificial Intelligence
A Memory Efficient Graph Kernel 2012 Giovanni Da San MartinoNAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - 2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
A systematic assessment of deep learning models for molecule generation 2020 Rigoni D.Navarin N.Sperduti A. - - ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
A Tree-Based Kernel for Graphs 2012 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - Proceedings of the Twelfth SIAM International Conference on Data Mining
Advances in learning with kernels: Theory and practice in a world of growing constraints 2016 NAVARIN, NICOLO'DONINI, MICHELEAIOLLI, FABIO + - - ESANN 2016 - 24th European Symposium on Artificial Neural Networks
An efficient graph kernel method for non-coding RNA functional prediction 2017 NAVARIN, NICOLO' + BIOINFORMATICS - -
An empirical study on budget-aware online kernel algorithms for streams of graphs 2016 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO NEUROCOMPUTING - -
Approximated Neighbours MinHash Graph Node Kernel 2017 Nicolò NavarinAlessandro Sperduti - - ESANN 2017 proceedings
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.Barzon L.Del Vecchio C.Manganelli R.Loregian A.Navarin N.Abate D.Sciro M.Merigliano S.Saluzzo F.Onelia F.Pacenti M.Parisi S. G.Flor L.Cocchio S.Masi G.Sperduti A.Salvador R.Nieddu E.Labella B.Fava L.Brazzale A. R.Toppo S.Trevisan M.Baldo V.Crisanti A. + NATURE - -
Compact graph neural network models for node classification 2022 Pasa L.Navarin N.Sperduti A. - - SAC '22: the 37th ACM/SIGAPP Symposium on Applied Computing
Complex Data: Learning Trustworthily, Automatically, and with Guarantees 2021 Navarin N.Sperduti A. + - - ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Conditional Constrained Graph Variational Autoencoders for Molecule Design 2020 Davide RigoniNicolo' NavarinAlessandro Sperduti - - 2020 {IEEE} Symposium Series on Computational Intelligence, {SSCI}2020, Canberra, Australia, December 1-4, 2020
Deep fair models for complex data: Graphs labeling and explainable face recognition 2022 Navarin N. + NEUROCOMPUTING - -
Deep graph node kernels: A convex approach 2017 Navarin NicolòSperduti Alessandro + - - Proceedings of the International Joint Conference on Neural Networks
Deep recurrent graph neural networks 2020 Pasa L.Navarin N.Sperduti A. - - ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
DEEP: Decomposition Feature Enhancement Procedure for Graphs 2018 Nicolo NavarinAlessandro Sperduti + - - ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2018
Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models 2022 Monaro, MerylinMaldera, StéphanieScarpazza, CristinaSartori, GiuseppeNavarin, Nicolò COMPUTERS IN HUMAN BEHAVIOR - -
Editorial Special Issue Interaction With Artificial Intelligence Systems: New Human-Centered Perspectives and Challenges 2022 Monaro M.Navarin N. + IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS - -
Efficient Multilingual Deep Learning Model for Keyword Categorization 2021 Navarin N. + - - 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings