Sfoglia per Autore
Mostrati risultati da 1 a 6 di 6
Maximum Length Weighted Nearest Neighbor Approach for Electricity Load Forecasting
2015 Colombo, T.; Koprinska, I.; Panella, Massimo
SWLDA offers a valuable trade-off between interpretability and accuracy for rehabilitative BCIs
2019 Colamarino, Emma; Colombo, Tommaso; Pichiorri, Floriana; Mattia, Donatella; Palagi, Laura; Cincotti, Febo
Distributed algorithms for convex problems with linear coupling constraints
2020 Colombo, Tommaso; Sagratella, Simone
Optimization techniques for large scale finite sum problems
2020 Colombo, Tommaso
Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis
2021 Colombo, T.; Mangone, M.; Agostini, F.; Bernetti, A.; Paoloni, M.; Santilli, V.; Palagi, L.
A mixed finite differences scheme for gradient approximation
2022 Boresta, Marco; Colombo, Tommaso; DE SANTIS, Alberto; Lucidi, Stefano
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Maximum Length Weighted Nearest Neighbor Approach for Electricity Load Forecasting | 2015 | Colombo, T.; Koprinska, I.; Panella, Massimo | |
| SWLDA offers a valuable trade-off between interpretability and accuracy for rehabilitative BCIs | 2019 | Colamarino, Emma; Colombo, Tommaso; Pichiorri, Floriana; Mattia, Donatella; Palagi, Laura; Cincotti, Febo | |
| Distributed algorithms for convex problems with linear coupling constraints | 2020 | Colombo, Tommaso; Sagratella, Simone | |
| Optimization techniques for large scale finite sum problems | 2020 | Colombo, Tommaso | |
| Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis | 2021 | Colombo, T.; Mangone, M.; Agostini, F.; Bernetti, A.; Paoloni, M.; Santilli, V.; Palagi, L. | |
| A mixed finite differences scheme for gradient approximation | 2022 | Boresta, Marco; Colombo, Tommaso; DE SANTIS, Alberto; Lucidi, Stefano |
Mostrati risultati da 1 a 6 di 6
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