Sfoglia per Dipartimento
Machine learning approach for structural timber strength grading starting from the computed tomography of the log
2022/2023 MIGLIORANZA, PIETRO
Machine learning approaches for plasma state monitoring in Tokamaks
2021/2022 VENTURINI, CRISTINA
Machine Learning approaches in Neuroscience: behavioral and sleep classification
2020/2021 CUSINATO, RICCARDO
Machine Learning Approaches to Enhance Revenue Capture in E-commerce Platforms
2023/2024 AUSILIO, LORENZO
MACHINE LEARNING BASED APPROACH FOR BANKING CLIENTS’ LIFE MOMENTS DETECTION
2021/2022 CRUDELE, MICHELE MARIA
Machine Learning for the interpretation of the main ion charge exchange recombination spectra at the ASDEX Upgrade tokamak
2020/2021 SELEMON, DEBORAH OLUWAKEMI
Machine Learning Gravitational Waveforms for Binary Neutron Star mergers
2020/2021 TISSINO, JACOPO
Machine learning methods to predict the formation of binary compact objects
2022/2023 JANARDHANA, VIVEK KASHYAP
Machine learning models for fine-grained detection and recognition of small objects
2022/2023 SIMIONATO, GIUSEPPE
Machine learning supergravity vacua
2023/2024 COSTANTINI, RICCARDO
Machine learning water clusters from quantum Monte Carlo
2020/2021 PERIA, MATTEO
Machine-learned coarse-graining per sistemi polimerici
2022/2023 FANTONI, GIOVANNI
Magnetohydrodynamic stability analysis of the pedestals of ASDEX Upgrade plasmas
2022/2023 SALINARO, MICHELA
Mathematical modeling of phasic calcium dynamics in HaCaT cells
2022/2023 SHOJAEI BARJOUEI, NAZLI
Mathematical modeling of steatotic liver cell metabolic network
2023/2024 PEDRAZZI, MATTEO
MAVIS: confronto fra le alternative di design ottico proposte per il modulo di ottica adattiva
2020/2021 ZARDINI, ANNA
Max Planck: la prima luce della teoria dei quanti
2022/2023 BORDIN, ENRICO
Measurement forecasts of the ultra-high-energy neutrino flavor composition: unlocking new insights into astrophysics and fundamental physics
2023/2024 TESTAGROSSA, FEDERICO
Measurement of intergalactic magnetic fields using the echo of fast transient signals
2022/2023 PAVAN, LIDIA GIUDITTA
Measurement of the anisotropic gravitational wave background with a network of ground-based detectors
2020/2021 MENTASTI, GIORGIO
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2022 | Machine learning approach for structural timber strength grading starting from the computed tomography of the log | Machine learning approach for structural timber strength grading starting from the computed tomography of the log | MIGLIORANZA, PIETRO | |
Lauree magistrali | 2021 | Machine learning approaches for plasma state monitoring in Tokamaks | Machine learning approaches for plasma state monitoring in Tokamaks | VENTURINI, CRISTINA | |
Lauree magistrali | 2020 | Machine Learning approaches in Neuroscience: behavioral and sleep classification | Machine Learning approaches in Neuroscience: behavioral and sleep classification | CUSINATO, RICCARDO | |
Lauree magistrali | 2023 | Machine Learning Approaches to Enhance Revenue Capture in E-commerce Platforms | Machine Learning Approaches to Enhance Revenue Capture in E-commerce Platforms | AUSILIO, LORENZO | |
Lauree magistrali | 2021 | MACHINE LEARNING BASED APPROACH FOR BANKING CLIENTS’ LIFE MOMENTS DETECTION | MACHINE LEARNING BASED APPROACH FOR BANKING CLIENTS’ LIFE MOMENTS DETECTION | CRUDELE, MICHELE MARIA | |
Lauree magistrali | 2020 | Machine Learning for the interpretation of the main ion charge exchange recombination spectra at the ASDEX Upgrade tokamak | Machine Learning for the interpretation of the main ion charge exchange recombination spectra at the ASDEX Upgrade tokamak | SELEMON, DEBORAH OLUWAKEMI | |
Lauree magistrali | 2020 | Machine Learning Gravitational Waveforms for Binary Neutron Star mergers | Machine Learning Gravitational Waveforms for Binary Neutron Star mergers | TISSINO, JACOPO | |
Lauree magistrali | 2022 | Machine learning methods to predict the formation of binary compact objects | - | JANARDHANA, VIVEK KASHYAP | |
Lauree magistrali | 2022 | Machine learning models for fine-grained detection and recognition of small objects | Machine learning models for fine-grained detection and recognition of small objects | SIMIONATO, GIUSEPPE | |
Lauree magistrali | 2023 | Machine learning supergravity vacua | Machine learning supergravity vacua | COSTANTINI, RICCARDO | |
Lauree magistrali | 2020 | Machine learning water clusters from quantum Monte Carlo | Machine learning water clusters from quantum Monte Carlo | PERIA, MATTEO | |
Lauree triennali | 2022 | Machine-learned coarse-graining per sistemi polimerici | Machine-learned coarse-graining for polymeric systems | FANTONI, GIOVANNI | |
Lauree magistrali | 2022 | Magnetohydrodynamic stability analysis of the pedestals of ASDEX Upgrade plasmas | Magnetohydrodynamic stability analysis of the pedestals of ASDEX Upgrade plasmas | SALINARO, MICHELA | |
Lauree magistrali | 2022 | Mathematical modeling of phasic calcium dynamics in HaCaT cells | Mathematical modeling of phasic calcium dynamics in HaCaT cells | SHOJAEI BARJOUEI, NAZLI | |
Lauree magistrali | 2023 | Mathematical modeling of steatotic liver cell metabolic network | Mathematical modeling of steatotic liver cell metabolic network | PEDRAZZI, MATTEO | |
Lauree triennali | 2020 | MAVIS: confronto fra le alternative di design ottico proposte per il modulo di ottica adattiva | MAVIS: evaluation of alternatives for the adaptive optics module optical design | ZARDINI, ANNA | |
Lauree triennali | 2022 | Max Planck: la prima luce della teoria dei quanti | Max Planck: the first light of quantum theory | BORDIN, ENRICO | |
Lauree magistrali | 2023 | Measurement forecasts of the ultra-high-energy neutrino flavor composition: unlocking new insights into astrophysics and fundamental physics | Measurement forecasts of the ultra-high-energy neutrino flavor composition: unlocking new insights into astrophysics and fundamental physics | TESTAGROSSA, FEDERICO | |
Lauree triennali | 2022 | Measurement of intergalactic magnetic fields using the echo of fast transient signals | Measurement of intergalactic magnetic fields using the echo of fast transient signals | PAVAN, LIDIA GIUDITTA | |
Lauree magistrali | 2020 | Measurement of the anisotropic gravitational wave background with a network of ground-based detectors | Measurement of the anisotropic gravitational wave background with a network of ground-based detectors | MENTASTI, GIORGIO |
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