Nicolò Navarin

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Alessandro SperdutiUniversity of PadovaVerified email at math.unipd.it
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
Luca PasaUniversity of Padova - Department of MathematicsVerified email at math.unipd.it
Davide AnguitaDIBRIS - University of Genova, ItalyVerified email at unige.it
Giovanni Da San MartinoAssociate Professor, Department of Mathematics, University of Padova, ItalyVerified email at math.unipd.it
Van Dinh TranKing Fahd University of Petroleum and Minerals, Saudi ArabiaVerified email at kfupm.edu.sa
Michele DoniniHelsingVerified email at helsing.ai
Merylin MonaroUniversity of PadovaVerified email at unipd.it
Fabio AiolliUniversity of PadovaVerified email at math.unipd.it
Massimiliano de LeoniAssociate Professor of Computer Science, University of PadovaVerified email at math.unipd.it
Riccardo GalantiIBM & Università di PadovaVerified email at studenti.unipd.it
Giuseppe SartoriProfessor of Forensic Neuropsychology, University of PadovaVerified email at unipd.it
Danilo FrancoPhD Student, University of GenoaVerified email at edu.unige.it
Alvise De BiasioUniversity of PadovaVerified email at phd.unipd.it
Cristina ScarpazzaUniversity of PaduaVerified email at unipd.it
Mirko Polato, PhDUniversity of TurinVerified email at di.unito.it
Alessio MicheliDepartment of Computer Science, University of PisaVerified email at di.unipi.it
Davide RigoniUniversity of PadovaVerified email at unipd.it
Beatrice VincenziLecturer in HCI, HCI group, Birmingham City UniversityVerified email at bcu.ac.uk
Josep CarmonaProfessor at Universitat Politècnica de Catalunya | CEO at Process Talks (www.processtalks.com)Verified email at cs.upc.edu

Nicolò Navarin

Associate Professor, University of Padova

Verified email at math.unipd.it - Homepage

machine learning kernel methods learning on structured data neural networks online learning


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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	1386*	2020
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	134	2017
Explainable predictive process monitoring R Galanti, B Coma-Puig, M de Leoni, J Carmona, N Navarin 2020 2nd International Conference on Process Mining (ICPM), 1-8, 2020	104	2020
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	80	2018
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	76	2020
Imperial College COVID-19 Response Team E Lavezzo, E Franchin, C Ciavarella, G Cuomo-Dannenburg, L Barzon, ... Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo …, 2020	73	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	61	2012
Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models M Monaro, S Maldera, C Scarpazza, G Sartori, N Navarin Computers in Human Behavior 127, 107063, 2022	57	2022
Universal readout for graph convolutional neural networks N Navarin, D Van Tran, A Sperduti 2019 international joint conference on neural networks (IJCNN), 1-7, 2019	54	2019
Large expert-curated database for benchmarking document similarity detection in biomedical literature search P Brown, Y Zhou Database 2019, baz085, 2019	40	2019
Deep fair models for complex data: Graphs labeling and explainable face recognition D Franco, N Navarin, M Donini, D Anguita, L Oneto Neurocomputing 470, 318-334, 2022	36	2022
Object-centric process predictive analytics R Galanti, M De Leoni, N Navarin, A Marazzi Expert Systems with Applications 213, 119173, 2023	35	2023
Pre-training graph neural networks with kernels N Navarin, DV Tran, A Sperduti arXiv preprint arXiv:1811.06930, 2018	32	2018
Toward learning trustworthily from data combining privacy, fairness, and explainability: an application to face recognition D Franco, L Oneto, N Navarin, D Anguita Entropy 23 (8), 1047, 2021	29	2021
Conditional constrained graph variational autoencoders for molecule design D Rigoni, N Navarin, A Sperduti 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 729-736, 2020	29	2020
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	29	2017
Multiple Graph-Kernel Learning F Aiolli, M Donini, N Navarin, A Sperduti IEEE Symposium on Computational Intelligence and Data Mining, 2015	29	2015
An explainable decision support system for predictive process analytics R Galanti, M de Leoni, M Monaro, N Navarin, A Marazzi, B Di Stasi, ... Engineering Applications of Artificial Intelligence 120, 105904, 2023	28	2023
Multiresolution reservoir graph neural network L Pasa, N Navarin, A Sperduti IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2642-2653, 2021	28	2021
Ordered Decompositional DAG Kernels Enhancements G Da San Martino, N Navarin, A Sperduti Neurocomputing 192, 92-103, 2016	27	2016

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