ONETO, LUCA
ONETO, LUCA
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A communication platform demonstrator for new generation railway traffic management systems: Testing and validation
2024-01-01 Cecchetti, G.; Ruscelli, A. L.; Ulianov, C.; Hyde, P.; Magnien, A.; Oneto, L.; Bertolin, J.
A deep connection between the vapnik-chervonenkis entropy and the rademacher complexity
2014-01-01 Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Ridella, Sandro
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks
2020-01-01 Oneto, L.; Buselli, I.; Lulli, A.; Canepa, R.; Petralli, S.; Anguita, D.
A local Vapnik-Chervonenkis complexity
2016-01-01 Oneto, Luca; Anguita, Davide; Ridella, Sandro
A Machine Learning Analysis of Health Records of Patients with Chronic Kidney Disease at Risk of Cardiovascular Disease
2021-01-01 Chicco, D.; Lovejoy, C. A.; Oneto, L.
A novelty detection approach to diagnosing hull and propeller fouling
2019-01-01 Coraddu, A.; Lim, S.; Oneto, L.; Pazouki, K.; Norman, R.; Murphy, A. J.
A review on ship motions and quiescent periods prediction models
2023-01-01 Cademartori, G.; Oneto, L.; Valdenazzi, F.; Coraddu, A.; Gambino, A.; Anguita, D.
Advances in artificial neural networks, machine learning and computational intelligence
2020-01-01 Oneto, L.; Bunte, K.; Sperduti, A.
Advances in artificial neural networks, machine learning and computational intelligence
2022-01-01 Oneto, L.; Navarin, N.; Schleif, F. -M.
Advances in artificial neural networks, machine learning and computational intelligence
2018-01-01 Aiolli, Fabio; Biehl, Michael; Oneto, Luca
Advances in artificial neural networks, machine learning and computational intelligence
2022-01-01 Oneto, L.; Bunte, K.; Navarin, N.
Advances in artificial neural networks, machine learning and computational intelligence
2024-01-01 Navarin, N.; Mulders, D.; Oneto, L.
Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018)
2019-01-01 Oneto, L.; Bunte, K.; Schleif, F. -M.
An Enhanced Random Forests Approach to Predict Heart Failure from Small Imbalanced Gene Expression Data
2021-01-01 Chicco, D.; Oneto, L.
An Improved Analysis of the Rademacher Data-dependent Bound Using Its Self-Bounding Property
2013-01-01 Oneto, Luca; Ghio, Alessandro; Anguita, Davide; Ridella, Sandro
Can machine learning explain human learning?
2016-01-01 Vahdat, Mehrnoosh; Oneto, Luca; Anguita, Davide; Funk, Mathias; Rauterberg, Matthias
Computational intelligence identifies alkaline phosphatase (Alp), alpha-fetoprotein (afp), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma
2021-01-01 Chicco, D.; Oneto, L.
Computational prediction of underwater radiated noise of cavitating marine propellers: On the accuracy of semi-empirical models
2022-01-01 Kalikatzarakis, M.; Coraddu, A.; Atlar, M.; Gaggero, S.; Tani, G.; Villa, D.; Oneto, L.
Computationally aware estimation of ultimate strength reduction of stiffened panels caused by welding residual stress: From finite element to data-driven methods
2022-01-01 Li, S.; Coraddu, A.; Oneto, L.
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine
2024-01-01 Ilardi, D.; Kalikatzarakis, M.; Oneto, L.; Collu, M.; Coraddu, A.