Sfoglia per Corso
Optimization of the PID algorithms at the Belle II Experiment
2022/2023 BAVARCHEE, ALI
Optimizing Tree Tensor Networks for classification on hardware accelerators
2023/2024 COPPI, ALBERTO
Optimizing Workforce Allocation through Reinforcement Learning: A Machine Learning Approach to Human Resource Management
2024/2025 TONAZZO, VALENTINA
Out-of-distribution detection methods on deep neural network encodings of images and tabular data
2021/2022 MISTRALI, SIMONE
Personalization of Vision-language Models and the Multi-Concept Challenge
2024/2025 ISOTTON, GLORIA
Physics of epidemics on contact networks with spatial and temporal features
2022/2023 BARONE, DARIO
Physics-based Machine Learning for quantifying chaos in the gravitational three-body problem
2024/2025 CACCIOLA, MARTINA
Physics-Informed Machine Learning for High-Fidelity Synthetic Data Generation
2022/2023 NINNI, DANIELE
Plausibility study on Hypothetical market scenarios for Clearinghouses
2022/2023 AGOSTI, LUCA
Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning
2020/2021 GUIDA, MATTEO
Post-Processing Methods for the Enhancement of Air Quality Forecasts in the Veneto Region Generated by CAMx Running on a Cloud Infrastructure
2024/2025 ORLANDO, FILIPPO
Predicting Tenant Behavior in Smart Households Using Machine Learning on Time-Series Data
2024/2025 ESLAMI SHAFIGH, EHSAN
Predictive Model for the Evolution of Baked Goods Properties During Baking
2024/2025 GHAEMIFAR, SEPIDEH
Probing complex fluids with microbeads
2024/2025 SARAN GATTORNO, GIANCARLO
Programming a Gate-based Quantum Computer: a Comparative Analysis of the Software Development Kits for Circuit Design Automation
2022/2023 LAZZARI, ANDREA
Quantum algorithms for the solution of partial differential equations with applications in the aerospace sector
2023/2024 GRILLI, ALESSANDRO
Quantum Approaches to NP-Hard Problems in Network Science: Community Detection Using the Potts Model
2024/2025 FEIZI, MARYAM
Quantum Computer simulations via Tensor Networks
2020/2021 BALLARIN, MARCO
Quantum Optical Projective Simulation for Reinforcement Learning
2022/2023 FRANCESCHETTO, GIACOMO
Quantum randomness on laser written glass integrated circuit
2023/2024 PERI, ANDREA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2022 | Optimization of the PID algorithms at the Belle II Experiment | Optimization of the PID algorithms at the Belle II Experiment | BAVARCHEE, ALI | |
| Lauree magistrali | 2023 | Optimizing Tree Tensor Networks for classification on hardware accelerators | Optimizing Tree Tensor Networks for classification on hardware accelerators | COPPI, ALBERTO | |
| Lauree magistrali | 2024 | Optimizing Workforce Allocation through Reinforcement Learning: A Machine Learning Approach to Human Resource Management | Optimizing Workforce Allocation through Reinforcement Learning: A Machine Learning Approach to Human Resource Management | TONAZZO, VALENTINA | |
| Lauree magistrali | 2021 | Out-of-distribution detection methods on deep neural network encodings of images and tabular data | Out-of-distribution detection methods on deep neural network encodings of images and tabular data | MISTRALI, SIMONE | |
| Lauree magistrali | 2024 | Personalization of Vision-language Models and the Multi-Concept Challenge | Personalization of Vision-language Models and the Multi-Concept Challenge | ISOTTON, GLORIA | |
| Lauree magistrali | 2022 | Physics of epidemics on contact networks with spatial and temporal features | Physics of epidemics on contact networks with spatial and temporal features | BARONE, DARIO | |
| Lauree magistrali | 2024 | Physics-based Machine Learning for quantifying chaos in the gravitational three-body problem | Physics-based Machine Learning for quantifying the chaos in the gravitational three-body problem | CACCIOLA, MARTINA | |
| Lauree magistrali | 2022 | Physics-Informed Machine Learning for High-Fidelity Synthetic Data Generation | Physics-Informed Machine Learning for High-Fidelity Synthetic Data Generation | NINNI, DANIELE | |
| Lauree magistrali | 2022 | Plausibility study on Hypothetical market scenarios for Clearinghouses | Plausibility study on Hypothetical market scenarios for Clearinghouses | AGOSTI, LUCA | |
| Lauree magistrali | 2020 | Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning | Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning | GUIDA, MATTEO | |
| Lauree magistrali | 2024 | Post-Processing Methods for the Enhancement of Air Quality Forecasts in the Veneto Region Generated by CAMx Running on a Cloud Infrastructure | Post-Processing Methods for the Enhancement of Air Quality Forecasts in the Veneto Region Generated by CAMx Running on a Cloud Infrastructure | ORLANDO, FILIPPO | |
| Lauree magistrali | 2024 | Predicting Tenant Behavior in Smart Households Using Machine Learning on Time-Series Data | Predicting Tenant Behavior in Smart Households Using Machine Learning on Time-Series Data | ESLAMI SHAFIGH, EHSAN | |
| Lauree magistrali | 2024 | Predictive Model for the Evolution of Baked Goods Properties During Baking | Predictive Model for the Evolution of Baked Goods Properties During Baking | GHAEMIFAR, SEPIDEH | |
| Lauree magistrali | 2024 | Probing complex fluids with microbeads | Probing complex fluids with microbeads | SARAN GATTORNO, GIANCARLO | |
| Lauree magistrali | 2022 | Programming a Gate-based Quantum Computer: a Comparative Analysis of the Software Development Kits for Circuit Design Automation | Programming a Gate-based Quantum Computer: a Comparative Analysis of the Software Development Kits for Circuit Design Automation | LAZZARI, ANDREA | |
| Lauree magistrali | 2023 | Quantum algorithms for the solution of partial differential equations with applications in the aerospace sector | Quantum algorithms for the solution of partial differential equations with applications in the aerospace sector | GRILLI, ALESSANDRO | |
| Lauree magistrali | 2024 | Quantum Approaches to NP-Hard Problems in Network Science: Community Detection Using the Potts Model | Quantum Approaches to NP-Hard Problems in Network Science: Community Detection Using the Potts Model | FEIZI, MARYAM | |
| Lauree magistrali | 2020 | Quantum Computer simulations via Tensor Networks | Quantum Computer simulations via Tensor Networks | BALLARIN, MARCO | |
| Lauree magistrali | 2022 | Quantum Optical Projective Simulation for Reinforcement Learning | Quantum Optical Projective Simulation for Reinforcement Learning | FRANCESCHETTO, GIACOMO | |
| Lauree magistrali | 2023 | Quantum randomness on laser written glass integrated circuit | Quantum randomness on laser written glass integrated circuit | PERI, ANDREA |
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