| 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 | 1266* | 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 | 93 | 2017 |
| 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 | 70 | 2020 |
| 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 | 67 | 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 | 62 | 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 | 54 | 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 | 54 | 2012 |
| Ordered Decompositional DAG Kernels Enhancements G Da San Martino, N Navarin, A Sperduti Neurocomputing 192, 92-103, 2016 | 27 | 2016 |
| Pre-training graph neural networks with kernels N Navarin, DV Tran, A Sperduti arXiv preprint arXiv:1811.06930, 2018 | 26 | 2018 |
| 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 | 26 | 2017 |
| 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 | 25 | 2019 |
| Multiple Graph-Kernel Learning F Aiolli, M Donini, N Navarin, A Sperduti IEEE Symposium on Computational Intelligence and Data Mining, 2015 | 24 | 2015 |
| 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 | 22 | 2022 |
| Scuba: scalable kernel-based gene prioritization G Zampieri, DV Tran, M Donini, N Navarin, F Aiolli, A Sperduti, G Valle BMC bioinformatics 19, 1-12, 2018 | 22 | 2018 |
| 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 | 22 | 2013 |
| 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 | 18 | 2019 |
| Idiopathic and acquired pedophilia as two distinct disorders: an insight from neuroimaging C Scarpazza, L Finos, S Genon, L Masiero, E Bortolato, C Cavaliere, ... Brain imaging and behavior, 1-12, 2021 | 17 | 2021 |
| 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 | 17 | 2012 |
| Linear Graph Convolutional Networks N Navarin, W Erb, L Pasa, A Sperduti | 14 | 2020 |
| Approximated Neighbours MinHash Graph Node Kernel N Navarin, A Sperduti ESANN 2017 proceedings, European Symposium on Artificial Neural Networks …, 2017 | 14 | 2017 |
Alessandro SperdutiUniversity of PadovaVerified email at math.unipd.it
