Sfoglia per Corso
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
Detection and recognition of textual information from drug box images using deep learning and computer vision
2021/2022 QUAGLIA, CAMILLA
Development and calibration of a predictive physics-based model for solar array power degradation in spacecraft
2023/2024 SGORLON GAIATTO, CARLO
Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry.
2022/2023 CAPETTINI CROATTO, HILARIO GABRIEL
Dimensionality Reduction and Latent Space Modeling of Soccer Players’ Tactical Profiles
2023/2024 LORENZETTI, MARCO
Domain-Specific Cross-Lingual RAG Applications: Information Retrieval Fine Tuning with Synthetic Data Generation
2024/2025 BARBIERO, LORENZO
Dynamical Mean Field Theory and Applications to Ecological and Neural Systems
2023/2024 ZENARI, MARCO
Dynamics of interdependent epidemics: a physics approach.
2021/2022 SARTORE, MARIKA
Effective connectivity and controllability in brain dynamics
2020/2021 KABBUR HANUMANTHAPPA MANJUNATHA, KARAN
Effects of Topological Changes in the Individuals Decision-Making in relation to Transportation Methods in a City
2023/2024 ALTAMIRANO COELLO, DAVID ALEJANDRO
Efficient quantum circuit optimization using matrix product states
2023/2024 BACILIERI, DAVIDE
Electrical Impedance Spectroscopy time series analysis and its application in cooking processes
2022/2023 NAGARO QUIROZ, GIANMARCO
Emergent Functional Patterns in Microbial Communities: Data Analysis and Modelling
2023/2024 SEPPI, MARCELLO
Emulating cosmological likelihoods with machine learning
2022/2023 GIUNTA, MARCO
Enhancing Supply Chain Efficiency: Demand Forecasting Using Deep Learning Techniques
2023/2024 AHMADIESLAMLOO, ELAHEH
Evaluating the Accuracy of Machine Learning Algorithms for Classifying Passive Exoskeleton Movements
2022/2023 FONTANA, FRANCESCO
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
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 magistrali | 2021 | Detection and recognition of textual information from drug box images using deep learning and computer vision | Detection and recognition of textual information from drug box images using deep learning and computer vision | QUAGLIA, CAMILLA | |
Lauree magistrali | 2023 | Development and calibration of a predictive physics-based model for solar array power degradation in spacecraft | Development and calibration of a predictive physics-based model for solar array power degradation in spacecraft | SGORLON GAIATTO, CARLO | |
Lauree magistrali | 2022 | Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry. | Development of a framework to evaluate and characterise Deep Learning models used for deep-fake detection in the identity fraud industry. | CAPETTINI CROATTO, HILARIO GABRIEL | |
Lauree magistrali | 2023 | Dimensionality Reduction and Latent Space Modeling of Soccer Players’ Tactical Profiles | Dimensionality Reduction and Latent Space Modeling of Soccer Players’ Tactical Profiles | LORENZETTI, MARCO | |
Lauree magistrali | 2024 | Domain-Specific Cross-Lingual RAG Applications: Information Retrieval Fine Tuning with Synthetic Data Generation | Domain-Specific Cross-Lingual RAG Applications: Information Retrieval Fine Tuning with Synthetic Data Generation | BARBIERO, LORENZO | |
Lauree magistrali | 2023 | Dynamical Mean Field Theory and Applications to Ecological and Neural Systems | Dynamical Mean Field Theory and Applications to Ecological and Neural Systems | ZENARI, MARCO | |
Lauree magistrali | 2021 | Dynamics of interdependent epidemics: a physics approach. | Dynamics of interdependent epidemics: a physics approach. | SARTORE, MARIKA | |
Lauree magistrali | 2020 | Effective connectivity and controllability in brain dynamics | Effective connectivity and controllability in brain dynamics | KABBUR HANUMANTHAPPA MANJUNATHA, KARAN | |
Lauree magistrali | 2023 | Effects of Topological Changes in the Individuals Decision-Making in relation to Transportation Methods in a City | Effects of Topological Changes in the Individuals Decision-Making in relation to Transportation Methods in a City | ALTAMIRANO COELLO, DAVID ALEJANDRO | |
Lauree magistrali | 2023 | Efficient quantum circuit optimization using matrix product states | Efficient quantum circuit optimization using matrix product states | BACILIERI, DAVIDE | |
Lauree magistrali | 2022 | Electrical Impedance Spectroscopy time series analysis and its application in cooking processes | Electrical Impedance Spectroscopy time series analysis and its application in cooking processes | NAGARO QUIROZ, GIANMARCO | |
Lauree magistrali | 2023 | Emergent Functional Patterns in Microbial Communities: Data Analysis and Modelling | Emergent Functional Patterns in Microbial Communities: Data Analysis and Modelling | SEPPI, MARCELLO | |
Lauree magistrali | 2022 | Emulating cosmological likelihoods with machine learning | Emulating cosmological likelihoods with machine learning | GIUNTA, MARCO | |
Lauree magistrali | 2023 | Enhancing Supply Chain Efficiency: Demand Forecasting Using Deep Learning Techniques | Enhancing Supply Chain Efficiency: Demand Forecasting Using Deep Learning Techniques | AHMADIESLAMLOO, ELAHEH | |
Lauree magistrali | 2022 | Evaluating the Accuracy of Machine Learning Algorithms for Classifying Passive Exoskeleton Movements | Evaluating the Accuracy of Machine Learning Algorithms for Classifying Passive Exoskeleton Movements | FONTANA, FRANCESCO |
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