LATORRE, Vittorio
LATORRE, Vittorio
DIPARTIMENTO DI BIOSCIENZE E TERRITORIO
A canonical duality approach for the solution of affine quasi-variational inequalities
2015-01-01 Latorre, Vittorio; Sagratella, Simone
A canonical duality approach for the solution of affine quasi-variational inequalities
2016-01-01 Latorre, Vittorio; Sagratella, Simone
A SVM Surrogate Model-Based Method for Parametric Yield Optimization
2016-01-01 Ciccazzo, A; Di Pillo, G; Latorre, V
An application of Support Vector Machines to sales forecasting under promotions
2016-01-01 G., Di Pillo; Latorre, V; S., Lucidi; E., Procacci
Canonical Dual Approach for Contact Mechanics Problems with Friction
2017-01-01 Latorre, Vittorio; Sagratella, Simone; Gao, David Yang
Canonical dual solutions to nonconvex radial basis neural network optimization problem
2014-01-01 Latorre, Vittorio; David Yang, Gao
Canonical Duality for Radial Basis Neural Networks
2013-01-01 Latorre, Vittorio; David Yang, Gao
Canonical duality for solving general nonconvex constrained problems
2016-01-01 Latorre, V.; Gao, D. Y.
Derivative free methodologies for circuit worst case analysis
2019-01-01 Latorre, V; Habal, H; Graeb, H; Lucidi, S
Derivative-Free Robust Optimization for Circuit Design
2015-01-01 Ciccazzo, A.; Latorre, V.; Liuzzi, G.; Lucidi, S.; Rinaldi, F.
Efficient Deterministic Algorithm for Huge-Sized Noisy Sensor Localization Problems via Canonical Duality Theory
2021-01-01 Latorre, V; Gao, D Y
Global Optimal Trajectory in Chaos and NP-Hardness
2016-01-01 Latorre, V; D. Y., Gao
Smart Water Management in Agriculture: a Proposal for an Optimal Scheduling Formulation of a Gravity Water Distribution System
2020-01-01 Latorre, V.; Zingali, L. C.; Bragalli, C.; Domeneghetti, A.; Brath, A.
Support Vector Machines for Real Consumer Circuits
2013-01-01 Angelo, Ciccazzo; DI PILLO, Gianni; Latorre, Vittorio
Support vector machines for surrogate modeling of electronic circuits
2014-01-01 Angelo, Ciccazzo; DI PILLO, Gianni; Latorre, Vittorio
The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era
2021-01-01 Georgoulis, Manolis K.; Shaun Bloomfield, D.; Piana, Michele; Maria Massone, Anna; Soldati, Marco; Gallagher, Peter T.; Pariat, Etienne; Vilmer, Nicole; Buchlin, Eric; Baudin, Frederic; Csillaghy, Andre; Sathiapal, Hanna; Jackson, David R.; Alingery, Pablo; Benvenuto, Federico; Campi, Cristina; Florios, Konstantinos; Gontikakis, Constantinos; Guennou, Chloe; Guerra, Jordan A.; Kontogiannis, Ioannis; Latorre, Vittorio; Murray, Sophie A.; Park, Sung-Hong; von Stachelski, Samuel; Torbica, Aleksandar; Vischi, Dario; Worsfold, Mark
Validation of Neural Network software by using IXPE ground calibration data
2022-01-01 Marco, A. D.; Tennant, A.; Monaca, F. L.; Muleri, F.; Rankin, J.; Rushing, J.; Soffitta, P.; Baglioni, G.; Baldini, L.; Costa, E.; Dietz, K.; Fabiani, S.; Latorre, V.; Locatelli, U.; Manfreda, A.; O'Dell, S.; Peirson, L.; Weisskopf, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A canonical duality approach for the solution of affine quasi-variational inequalities | 1-gen-2015 | Latorre, Vittorio; Sagratella, Simone | |
| A canonical duality approach for the solution of affine quasi-variational inequalities | 1-gen-2016 | Latorre, Vittorio; Sagratella, Simone | |
| A SVM Surrogate Model-Based Method for Parametric Yield Optimization | 1-gen-2016 | Ciccazzo, A; Di Pillo, G; Latorre, V | |
| An application of Support Vector Machines to sales forecasting under promotions | 1-gen-2016 | G., Di Pillo; Latorre, V; S., Lucidi; E., Procacci | |
| Canonical Dual Approach for Contact Mechanics Problems with Friction | 1-gen-2017 | Latorre, Vittorio; Sagratella, Simone; Gao, David Yang | |
| Canonical dual solutions to nonconvex radial basis neural network optimization problem | 1-gen-2014 | Latorre, Vittorio; David Yang, Gao | |
| Canonical Duality for Radial Basis Neural Networks | 1-gen-2013 | Latorre, Vittorio; David Yang, Gao | |
| Canonical duality for solving general nonconvex constrained problems | 1-gen-2016 | Latorre, V.; Gao, D. Y. | |
| Derivative free methodologies for circuit worst case analysis | 1-gen-2019 | Latorre, V; Habal, H; Graeb, H; Lucidi, S | |
| Derivative-Free Robust Optimization for Circuit Design | 1-gen-2015 | Ciccazzo, A.; Latorre, V.; Liuzzi, G.; Lucidi, S.; Rinaldi, F. | |
| Efficient Deterministic Algorithm for Huge-Sized Noisy Sensor Localization Problems via Canonical Duality Theory | 1-gen-2021 | Latorre, V; Gao, D Y | |
| Global Optimal Trajectory in Chaos and NP-Hardness | 1-gen-2016 | Latorre, V; D. Y., Gao | |
| Smart Water Management in Agriculture: a Proposal for an Optimal Scheduling Formulation of a Gravity Water Distribution System | 1-gen-2020 | Latorre, V.; Zingali, L. C.; Bragalli, C.; Domeneghetti, A.; Brath, A. | |
| Support Vector Machines for Real Consumer Circuits | 1-gen-2013 | Angelo, Ciccazzo; DI PILLO, Gianni; Latorre, Vittorio | |
| Support vector machines for surrogate modeling of electronic circuits | 1-gen-2014 | Angelo, Ciccazzo; DI PILLO, Gianni; Latorre, Vittorio | |
| The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era | 1-gen-2021 | Georgoulis, Manolis K.; Shaun Bloomfield, D.; Piana, Michele; Maria Massone, Anna; Soldati, Marco; Gallagher, Peter T.; Pariat, Etienne; Vilmer, Nicole; Buchlin, Eric; Baudin, Frederic; Csillaghy, Andre; Sathiapal, Hanna; Jackson, David R.; Alingery, Pablo; Benvenuto, Federico; Campi, Cristina; Florios, Konstantinos; Gontikakis, Constantinos; Guennou, Chloe; Guerra, Jordan A.; Kontogiannis, Ioannis; Latorre, Vittorio; Murray, Sophie A.; Park, Sung-Hong; von Stachelski, Samuel; Torbica, Aleksandar; Vischi, Dario; Worsfold, Mark | |
| Validation of Neural Network software by using IXPE ground calibration data | 1-gen-2022 | Marco, A. D.; Tennant, A.; Monaca, F. L.; Muleri, F.; Rankin, J.; Rushing, J.; Soffitta, P.; Baglioni, G.; Baldini, L.; Costa, E.; Dietz, K.; Fabiani, S.; Latorre, V.; Locatelli, U.; Manfreda, A.; O'Dell, S.; Peirson, L.; Weisskopf, M. |