Sfoglia per Dipartimento
Dark pions through the Z portal: dark Z' mediation
2022/2023 FERLA, MARCO
Data-Driven Analysis of Microbial Community Dynamics in Inflammatory Bowel Diseases
2023/2024 CHUEVA, EKATERINA
Data-driven discovery of the mechanism of systems described by partial differential equations
2022/2023 PASUPATHIPILLAI, THEIVAN
Debiasing delle predizioni fotometriche del redshift nei quasar
2024/2025 PANAGIOTAKIS, KONSTANTINOS
Decadimenti dei K nel dimostratore di ENUBET al fascio CERN-PS
2024/2025 PERON, FRANCESCO
Decentramento della lente sclerale: cause e migliorie
2022/2023 CABREL, JACOPO
Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study
2023/2024 BONI, FILIPPO
Deep learning approaches for the identification of erroneous regions in metagenome-assembled genomes
2024/2025 CHILOIRO, MARCO
Deep learning based methods for CMB analysis
2023/2024 PELLIZZARI, LORENZO
Deep learning for exoplanetary atmospheres analysis
2022/2023 PAGLIARO, LEONARDO
Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling
2022/2023 MARTEMUCCI, WALTER
Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC
2021/2022 GIORGETTI, SABRINA
Deep Learning methods to study the Auxiliary Channels in the Advanced Virgo Detector
2022/2023 NEGRI, LUCA
Deep learning models for data quality classification in water systems.
2022/2023 OWEN, CHELSEA PHILIPPA JUDITH
Deep learning models for detection and foreseeing of epileptic seizures
2021/2022 ANTONACI, EDOARDO
Deep Learning Models for real-time Fusion Device Data Compression Algorithms
2023/2024 MOJSOVSKA, MARIJA
Deep Tempering for Sampling Complex Energy Landscapes. Theory and Application to RNA riboswitches.
2022/2023 GIORLANDINO, ALESSIO
Densità elettronica nell'atomo di elio: approccio perturbativo e funzionale densità di Thomas-Fermi
2022/2023 FRIGATO, LORENZO
Descrizione geometrica e topologica delle teorie di gauge
2020/2021 COLOMBO, MASSIMO
Design and characterization of the neutron-gamma detection module of the DRAGON project
2020/2021 DELGADO ALVAREZ, JESSICA CAROLINA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2022 | Dark pions through the Z portal: dark Z' mediation | Dark pions through the Z portal: dark Z' mediation | FERLA, MARCO | |
| Lauree magistrali | 2023 | Data-Driven Analysis of Microbial Community Dynamics in Inflammatory Bowel Diseases | Data-Driven Analysis of Microbial Community Dynamics in Inflammatory Bowel Diseases | CHUEVA, EKATERINA | |
| Lauree magistrali | 2022 | Data-driven discovery of the mechanism of systems described by partial differential equations | Data-driven discovery of the mechanism of systems described by partial differential equations | PASUPATHIPILLAI, THEIVAN | |
| Lauree magistrali | 2024 | Debiasing delle predizioni fotometriche del redshift nei quasar | Debiasing photometric redshift estimations of Gaia quasars | PANAGIOTAKIS, KONSTANTINOS | |
| Lauree triennali | 2024 | Decadimenti dei K nel dimostratore di ENUBET al fascio CERN-PS | Meson decays in the ENUBET demonstrator in the CERN-PS 2024 run | PERON, FRANCESCO | |
| Lauree triennali | 2022 | Decentramento della lente sclerale: cause e migliorie | Scleral lens decentration: causes and improvement | CABREL, JACOPO | |
| Lauree magistrali | 2023 | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | BONI, FILIPPO | |
| Lauree magistrali | 2024 | Deep learning approaches for the identification of erroneous regions in metagenome-assembled genomes | Deep learning approaches for the identification of erroneous regions in metagenome-assembled genomes | CHILOIRO, MARCO | |
| Lauree magistrali | 2023 | Deep learning based methods for CMB analysis | Metodi basati sul deep learning per l'analisi della CMB | PELLIZZARI, LORENZO | |
| Lauree magistrali | 2022 | Deep learning for exoplanetary atmospheres analysis | Deep learning for exoplanetary atmospheres analysis | PAGLIARO, LEONARDO | |
| Lauree magistrali | 2022 | Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling | Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling | MARTEMUCCI, WALTER | |
| Lauree magistrali | 2021 | Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC | Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC | GIORGETTI, SABRINA | |
| Lauree magistrali | 2022 | Deep Learning methods to study the Auxiliary Channels in the Advanced Virgo Detector | Deep Learning methods to study the Auxiliary Channels in the Advanced Virgo Detector | NEGRI, LUCA | |
| Lauree magistrali | 2022 | Deep learning models for data quality classification in water systems. | Deep learning models for data quality classification in water systems. | OWEN, CHELSEA PHILIPPA JUDITH | |
| Lauree magistrali | 2021 | Deep learning models for detection and foreseeing of epileptic seizures | Deep learning models for detection and foreseeing of epileptic seizures | ANTONACI, EDOARDO | |
| Lauree magistrali | 2023 | Deep Learning Models for real-time Fusion Device Data Compression Algorithms | Deep Learning Models for real-time Fusion Device Data Compression Algorithms | MOJSOVSKA, MARIJA | |
| Lauree magistrali | 2022 | Deep Tempering for Sampling Complex Energy Landscapes. Theory and Application to RNA riboswitches. | Deep Tempering for Sampling Complex Energy Landscapes. Theory and Application to RNA riboswitches. | GIORLANDINO, ALESSIO | |
| Lauree triennali | 2022 | Densità elettronica nell'atomo di elio: approccio perturbativo e funzionale densità di Thomas-Fermi | Electron density in the helium atom: perturbative and Thomas-Fermi functional density approach | FRIGATO, LORENZO | |
| Lauree triennali | 2020 | Descrizione geometrica e topologica delle teorie di gauge | Geometric and topological description of gauge theories | COLOMBO, MASSIMO | |
| Lauree magistrali | 2020 | Design and characterization of the neutron-gamma detection module of the DRAGON project | Design and characterization of the neutron-gamma detection module of the DRAGON project | DELGADO ALVAREZ, JESSICA CAROLINA |
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