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Mostrati risultati da 21 a 40 di 54
Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
SOM-based aggregation for graph convolutional neural networks 2020 Pasa L.Navarin N.Sperduti A. NEURAL COMPUTING & APPLICATIONS - -
Linear graph convolutional networks 2020 Navarin N.Erb W.Pasa L.Sperduti A. - - ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Robotic Object Sorting via Deep Reinforcement Learning: A generalized approach 2020 Nicola G.Tagliapietra L.Tosello E.Navarin N.Ghidoni S.Menegatti E. - - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Multi-task learning for the prediction of wind power ramp events with deep neural networks 2020 Navarin N.Sperduti A. + NEURAL NETWORKS - -
A framework for the definition of complex structured feature spaces 2020 Navarin N.Sperduti A. + NEUROCOMPUTING - -
Universal Readout for Graph Convolutional Neural Networks 2019 Navarin N.Sperduti A. + - - Proceedings of the International Joint Conference on Neural Networks
Large expert-curated database for benchmarking document similarity detection in biomedical literature search 2019 Marinello F.Testoni I.Navarin N.Pezzuolo A. + DATABASE - -
On the definition of complex structured feature spaces 2019 Nicolò NavarinAlessandro Sperduti + ESANN 2019 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. - On the Definition of Complex Structured Feature Spaces
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
Emerging trends in machine learning: beyond conventional methods and data 2018 Luca OnetoNicolo NavarinMichele Donini + - - ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2018
Extreme Graph Kernels for Online Learning on a Memory Budget 2018 Nicolò NavarinGiovanni Da San MartinoAlessandro Sperduti - - 2018 International Joint Conference on Neural Networks (IJCNN)
On Filter Size in Graph Convolutional Networks 2018 Navarin, NSperduti, A + - - Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
Scuba: scalable kernel-based gene prioritization 2018 ZAMPIERI, GUIDOTRAN, VAN DINHMichele DoniniNicolò NavarinFabio AiolliAlessandro SperdutiGiorgio Valle BMC BIOINFORMATICS - -
Measuring the expressivity of graph kernels through Statistical Learning Theory 2017 NAVARIN, NICOLO'DONINI, MICHELESPERDUTI, ALESSANDROAIOLLI, FABIO + NEUROCOMPUTING - -
Deep graph node kernels: A convex approach 2017 Navarin NicolòSperduti Alessandro + - - Proceedings of the International Joint Conference on Neural Networks
Fast Hyperparameter Selection for Graph Kernels via Subsampling and Multiple Kernel Learning 2017 Michele DoniniNicolo NavarinIvano LauriolaFabio Aiolli + - - ESANN 2017 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
LSTM networks for data-aware remaining time prediction of business process instances 2017 Nicolo NavarinVINCENZI, BEATRICEMirko PolatoAlessandro Sperduti - - 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels 2017 Navarin, NicoloDonini, MicheleSperduti, AlessandroAiolli, Fabio + IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS - -
Tree-Based Kernel for Graphs With Continuous Attributes 2017 Da San Martino, GiovanniNavarin, NicoloSperduti, Alessandro IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS - -
An efficient graph kernel method for non-coding RNA functional prediction 2017 NAVARIN, NICOLO' + BIOINFORMATICS - -
Mostrati risultati da 21 a 40 di 54
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