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Mirko Polato, PhD
Title
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Cited by
Year
Time and activity sequence prediction of business process instances
M Polato, A Sperduti, A Burattin, M Leoni
Computing 100 (9), 1005-1031, 2018
1512018
Data-aware remaining time prediction of business process instances
M Polato, A Sperduti, A Burattin, M de Leoni
2014 International Joint Conference on Neural Networks (IJCNN), 816-823, 2014
952014
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
812017
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation
M Polato, F Aiolli
Neurocomputing 268, 17-26, 2017
242017
Mind your wallet's privacy: identifying bitcoin wallet apps and user's actions through network traffic analysis
F Aiolli, M Conti, A Gangwal, M Polato
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1484-1491, 2019
232019
Boolean kernels for collaborative filtering in top-N item recommendation
M Polato, F Aiolli
Neurocomputing 286, 214-225, 2018
222018
Model-free predictive current control for a SynRM drive based on an effective update of measured current responses
D Da Rù, P Mirko, S Bolognani
IEEE International Symposium on Predictive Control of Electrical Drives and …, 2017
212017
Recency aware collaborative filtering for next basket recommendation
G Faggioli, M Polato, F Aiolli
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020
202020
Radius-margin ratio optimization for dot-product boolean kernel learning
I Lauriola, M Polato, F Aiolli
International conference on artificial neural networks, 183-191, 2017
202017
A preliminary study on a recommender system for the job recommendation challenge
M Polato, F Aiolli
Proceedings of the Recommender Systems Challenge 2016, 2016
142016
Boolean kernels for rule based interpretation of support vector machines
M Polato, F Aiolli
Neurocomputing 342, 113-124, 2019
112019
A novel boolean kernels family for categorical data
M Polato, I Lauriola, F Aiolli
Entropy 20 (6), 444, 2018
112018
Radical scavenging activity of natural antioxidants and drugs: Development of a combined machine learning and quantum chemistry protocol
C Muraro, M Polato, M Bortoli, F Aiolli, L Orian
The Journal of Chemical Physics 153 (11), 114117, 2020
102020
Kernel based collaborative filtering for very large scale top-n item recommendation
M Polato, F Aiolli
Proceedings of the European Symposium on Artificial Neural Networks …, 2016
102016
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning
M Polato, F Aiolli
33rd AAAI Conference on Artificial Intelligence, 2019
92019
Tag-based user profiling: a game theoretic approach
G Faggioli, M Polato, F Aiolli
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019
72019
The minimum effort maximum output principle applied to Multiple Kernel Learning.
I Lauriola, M Polato, F Aiolli
ESANN, 2018
72018
Efficient similarity based methods for the playlist continuation task
G Faggioli, M Polato, F Aiolli
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
52018
Classification of categorical data in the feature space of monotone dnfs
M Polato, I Lauriola, F Aiolli
International Conference on Artificial Neural Networks, 279-286, 2017
52017
Federated variational autoencoder for collaborative filtering
M Polato
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
42021
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Articles 1–20