Sfoglia per Dipartimento
Exploitation of Artificial Intelligence for Particle Identification with Silicon Detectors
2024/2025 MICHIE, CRAIG THOMAS
Exploiting the conservation of probability in simple machine learning models
2024/2025 SINGH, MANJODH
Exploration of Deep Spiking Neural Network Architectures for Reward-Modulated STDP Learning
2023/2024 ATTAR, AIDIN
Exploring Deep Learning Techniques for Supporting Eye Bank Operators in Polymegethism Assessment
2025/2026 MUNAFÒ, SARA
Exploring Nucleosynthesis Models through Inertial Confinement Fusion
2024/2025 PAVAN, LIDIA GIUDITTA
Exploring Quantum-Inspired and Classical Approaches for Solving the Graph Coloring Problem
2024/2025 TRAWALLY, KHADIJATOU
Exploring rotational properties and the YORP effect in asteroid families
2024/2025 BERTINELLI, GABRIELE
Exploring the Astrophysical Parameters of Binary Black Hole Progenitors with Normalizing Flows
2024/2025 MOMTAZ, AIDIN
Exploring the Cosmic Neutrino Background Anisotropies
2022/2023 RAFFAELLI, ANTONIO
Exploring the Gravitational Wave Background with Photometric Surveys
2022/2023 ROATTI, VINCENZO
Exploring the interplay between learning and gene expression
2023/2024 PACHECO GARCIA, SOFIA
Exploring the Potential of Metal-Oxide Based Logic Gates for Digital Adder Circuits
2023/2024 MAHMOUDPOORI CHERAGH, GHAZAL
Exploring the second parameter problem in the Magellanic Clouds.
2024/2025 MERRILL, LLEWYN DALE
Extended Axion Dark Matter Landscape from Post-Inflationary Field Dynamics
2025/2026 MIDOLLINI, CAMILLA
Extended stellar Counter-Rotation in Disk Galaxies
2022/2023 AL OBAID, MAYS AHMED MIJWIL
Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks
2022/2023 ZILIOTTO, FILIPPO
Extension and Optimization of GPU-Accelerated Cellular Automaton Track Reconstruction for the CMS Experiment at the HL-LHC
2025/2026 CORADIN, EMANUELE
Extracting cosmological information at non-linear scales using machine learning.
2023/2024 DUBEY, SUPRIO
Extracting Cosmological Information from Large-Scale Structure Morphology using Deep Learning
2025/2026 BOCCANERA, EUGENIA
Fabbricazione di dispositivi microfluidici per manipolazione e allineamento di particelle
2023/2024 GALLOTTI, ANNA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2024 | Exploitation of Artificial Intelligence for Particle Identification with Silicon Detectors | Exploitation of Artificial Intelligence for Particle Identification with Silicon Detectors | MICHIE, CRAIG THOMAS | |
| Lauree magistrali | 2024 | Exploiting the conservation of probability in simple machine learning models | Exploiting the conservation of probability in simple machine learning models | SINGH, MANJODH | |
| Lauree magistrali | 2023 | Exploration of Deep Spiking Neural Network Architectures for Reward-Modulated STDP Learning | Exploration of Deep Spiking Neural Network Architectures for Reward-Modulated STDP Learning | ATTAR, AIDIN | |
| Lauree magistrali | 2025 | Exploring Deep Learning Techniques for Supporting Eye Bank Operators in Polymegethism Assessment | Exploring Deep Learning Techniques for Supporting Eye Bank Operators in Polymegethism Assessment | MUNAFÒ, SARA | |
| Lauree magistrali | 2024 | Exploring Nucleosynthesis Models through Inertial Confinement Fusion | Exploring Nucleosynthesis Models through Inertial Confinement Fusion | PAVAN, LIDIA GIUDITTA | |
| Lauree magistrali | 2024 | Exploring Quantum-Inspired and Classical Approaches for Solving the Graph Coloring Problem | Exploring Quantum-Inspired and Classical Approaches for Solving the Graph Coloring Problem | TRAWALLY, KHADIJATOU | |
| Lauree magistrali | 2024 | Exploring rotational properties and the YORP effect in asteroid families | Exploring rotational properties and the YORP effect in asteroid families | BERTINELLI, GABRIELE | |
| Lauree magistrali | 2024 | Exploring the Astrophysical Parameters of Binary Black Hole Progenitors with Normalizing Flows | Exploring the Astrophysical Parameters of Binary Black Hole Progenitors with Normalizing Flows | MOMTAZ, AIDIN | |
| Lauree magistrali | 2022 | Exploring the Cosmic Neutrino Background Anisotropies | Exploring the Cosmic Neutrino Background Anisotropies | RAFFAELLI, ANTONIO | |
| Lauree magistrali | 2022 | Exploring the Gravitational Wave Background with Photometric Surveys | Exploring the Gravitational Wave Background with Photometric Surveys | ROATTI, VINCENZO | |
| Lauree magistrali | 2023 | Exploring the interplay between learning and gene expression | Exploring the interplay between learning and gene expression | PACHECO GARCIA, SOFIA | |
| Lauree magistrali | 2023 | Exploring the Potential of Metal-Oxide Based Logic Gates for Digital Adder Circuits | Exploring the Potential of Metal-Oxide Based Logic Gates for Digital Adder Circuits | MAHMOUDPOORI CHERAGH, GHAZAL | |
| Lauree magistrali | 2024 | Exploring the second parameter problem in the Magellanic Clouds. | Exploring the second parameter problem in the Magellanic Clouds. | MERRILL, LLEWYN DALE | |
| Lauree magistrali | 2025 | Extended Axion Dark Matter Landscape from Post-Inflationary Field Dynamics | Extended Axion Dark Matter Landscape from Post-Inflationary Field Dynamics | MIDOLLINI, CAMILLA | |
| Lauree magistrali | 2022 | Extended stellar Counter-Rotation in Disk Galaxies | Extended stellar Counter-Rotation in Disk Galaxies | AL OBAID, MAYS AHMED MIJWIL | |
| Lauree magistrali | 2022 | Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks | Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks | ZILIOTTO, FILIPPO | |
| Lauree magistrali | 2025 | Extension and Optimization of GPU-Accelerated Cellular Automaton Track Reconstruction for the CMS Experiment at the HL-LHC | Extension and Optimization of GPU-Accelerated Cellular Automaton Track Reconstruction for the CMS Experiment at the HL-LHC | CORADIN, EMANUELE | |
| Lauree magistrali | 2023 | Extracting cosmological information at non-linear scales using machine learning. | Extracting cosmological information at non-linear scales using machine learning. | DUBEY, SUPRIO | |
| Lauree magistrali | 2025 | Extracting Cosmological Information from Large-Scale Structure Morphology using Deep Learning | Extracting Cosmological Information from Large-Scale Structure Morphology using Deep Learning | BOCCANERA, EUGENIA | |
| Lauree triennali | 2023 | Fabbricazione di dispositivi microfluidici per manipolazione e allineamento di particelle | Fabbricazione di dispositivi microfluidici per manipolazione e allineamento di perticelle | GALLOTTI, ANNA |
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