ONETO, LUCA Statistiche
ONETO, LUCA
DIPARTIMENTO DI INFORMATICA
Improving Fairness via Intrinsic Plasticity in Echo State Networks
2023-01-01 Ceni, Andrea; Bacciu, Davide; De Caro, Valerio; Gallicchio, Claudio; Oneto, Luca
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
2022-01-01 Oneto, Luca; Navarin, Nicol??; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro
Societal issues in machine learning: When learning from data is not enough
2019-01-01 Bacciu, D.; Biggio, B.; Lisboa, P. J. G.; Martin, J. D.; Oneto, L.; Vellido, A.
Advances in artificial neural networks, machine learning and computational intelligence
2018-01-01 Aiolli, Fabio; Biehl, Michael; Oneto, Luca
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Crack random forest for arbitrary large datasets
2018-01-01 Lulli, Alessandro; Oneto, Luca; Anguita, Davide
Introduction to Digital Systems Design
2018-01-01 Donzellini, Giuliano; Oneto, Luca; Ponta, Domenico; Anguita, Davide
Model selection and error estimation without the agonizing pain
2018-01-01 Oneto, Luca
Randomized learning: Generalization performance of old and new theoretically grounded algorithms
2018-01-01 Oneto, Luca; Cipollini, Francesca; Ridella, Sandro; Anguita, Davide
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Savio, Stefano; Anguita, Davide
Vessels fuel consumption: A data analytics perspective to sustainability
2018-01-01 Coraddu, Andrea; Oneto, Luca; Baldi, Francesco; Anguita, Davide
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids
2017-01-01 Oneto, Luca; Laureri, Federica; Robba, Michela; Delfino, Federico; Anguita, Davide
Deep graph node kernels: A convex approach
2017-01-01 Oneto, Luca; Navarin, Nicolio; Sperduti, Alessandro; Anguita, Davide
Differential privacy and generalization: Sharper bounds with applications
2017-01-01 Oneto, Luca; Ridella, Sandro; Anguita, Davide
Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout
2017-01-01 Oneto, Luca; Fumeo, Emanuele; Clerico, Giorgio; Canepa, Renzo; Papa, Federico; Dambra, Carlo; Mazzino, Nadia; Anguita, Davide
Introduzione al Progetto di Sistemi Digitali
2017-01-01 Donzellini, Giuliano; Oneto, Luca; Ponta, Domenico; Anguita, Davide
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels
2017-01-01 Oneto, Luca; Navarin, Nicolo; Donini, Michele; Ridella, Sandro; Sperduti, Alessandro; Aiolli, Fabio; Anguita, Davide
Low-Resource Footprint, Data-Driven Malware Detection on Android
2017-01-01 Aonzo, Simone; Merlo, Alessio; Migliardi, Mauro; Oneto, Luca; Palmieri, Francesco
Measuring the expressivity of graph kernels through Statistical Learning Theory
2017-01-01 Oneto, Luca; Navarin, Nicolã²; Donini, Michele; Sperduti, Alessandro; Aiolli, Fabio; Anguita, Davide
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Improving Fairness via Intrinsic Plasticity in Echo State Networks | 1-gen-2023 | Ceni, Andrea; Bacciu, Davide; De Caro, Valerio; Gallicchio, Claudio; Oneto, Luca | |
| Towards learning trustworthily, automatically, and with guarantees on graphs: An overview | 1-gen-2022 | Oneto, Luca; Navarin, Nicol??; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro | |
| Societal issues in machine learning: When learning from data is not enough | 1-gen-2019 | Bacciu, D.; Biggio, B.; Lisboa, P. J. G.; Martin, J. D.; Oneto, L.; Vellido, A. | |
| Advances in artificial neural networks, machine learning and computational intelligence | 1-gen-2018 | Aiolli, Fabio; Biehl, Michael; Oneto, Luca | |
| Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide | |
| Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide | |
| Crack random forest for arbitrary large datasets | 1-gen-2018 | Lulli, Alessandro; Oneto, Luca; Anguita, Davide | |
| Introduction to Digital Systems Design | 1-gen-2018 | Donzellini, Giuliano; Oneto, Luca; Ponta, Domenico; Anguita, Davide | |
| Model selection and error estimation without the agonizing pain | 1-gen-2018 | Oneto, Luca | |
| Randomized learning: Generalization performance of old and new theoretically grounded algorithms | 1-gen-2018 | Oneto, Luca; Cipollini, Francesca; Ridella, Sandro; Anguita, Davide | |
| Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Savio, Stefano; Anguita, Davide | |
| Vessels fuel consumption: A data analytics perspective to sustainability | 1-gen-2018 | Coraddu, Andrea; Oneto, Luca; Baldi, Francesco; Anguita, Davide | |
| Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids | 1-gen-2017 | Oneto, Luca; Laureri, Federica; Robba, Michela; Delfino, Federico; Anguita, Davide | |
| Deep graph node kernels: A convex approach | 1-gen-2017 | Oneto, Luca; Navarin, Nicolio; Sperduti, Alessandro; Anguita, Davide | |
| Differential privacy and generalization: Sharper bounds with applications | 1-gen-2017 | Oneto, Luca; Ridella, Sandro; Anguita, Davide | |
| Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout | 1-gen-2017 | Oneto, Luca; Fumeo, Emanuele; Clerico, Giorgio; Canepa, Renzo; Papa, Federico; Dambra, Carlo; Mazzino, Nadia; Anguita, Davide | |
| Introduzione al Progetto di Sistemi Digitali | 1-gen-2017 | Donzellini, Giuliano; Oneto, Luca; Ponta, Domenico; Anguita, Davide | |
| Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels | 1-gen-2017 | Oneto, Luca; Navarin, Nicolo; Donini, Michele; Ridella, Sandro; Sperduti, Alessandro; Aiolli, Fabio; Anguita, Davide | |
| Low-Resource Footprint, Data-Driven Malware Detection on Android | 1-gen-2017 | Aonzo, Simone; Merlo, Alessio; Migliardi, Mauro; Oneto, Luca; Palmieri, Francesco | |
| Measuring the expressivity of graph kernels through Statistical Learning Theory | 1-gen-2017 | Oneto, Luca; Navarin, Nicolã²; Donini, Michele; Sperduti, Alessandro; Aiolli, Fabio; Anguita, Davide |