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Nicolò Navarin
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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
1397*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
1342017
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
1072020
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
812018
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
762020
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
742020
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
662022
A tree-based kernel for graphs.
G Da San Martino, N Navarin, A Sperduti
Twelfth SIAM International Conference on Data Mining, 975-986, 2012
622012
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
552019
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
P Brown, Y Zhou
Database 2019, baz085, 2019
412019
Object-centric process predictive analytics
R Galanti, M De Leoni, N Navarin, A Marazzi
Expert Systems with Applications 213, 119173, 2023
352023
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
352022
Pre-training graph neural networks with kernels
N Navarin, DV Tran, A Sperduti
arXiv preprint arXiv:1811.06930, 2018
332018
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
322021
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
L Oneto, N Navarin, B Biggio, F Errica, A Micheli, F Scarselli, M Bianchini, ...
Neurocomputing 493, 217-243, 2022
312022
Multiresolution reservoir graph neural network
L Pasa, N Navarin, A Sperduti
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2642-2653, 2021
302021
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
292023
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
292020
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
292017
Multiple Graph-Kernel Learning
F Aiolli, M Donini, N Navarin, A Sperduti
IEEE Symposium on Computational Intelligence and Data Mining, 2015
292015
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