Sfoglia per Relatore
A Machine Learning Approach to Estimate Stray Losses in Power Transformers
2023/2024 RODRIGUES VERO FILHO, EMERSON
A simple algorithm for uncertainty quantification in Snake
2024/2025 GIORGETTI, LUCA
Attrattori dinamici nelle reti neurali ricorrenti
2022/2023 BELTRAME, GINEVRA
Audio Signal Analysis using Deep Learning
2023/2024 HOETH, MAX HENNING
Closed-loop neurostimulation via reservoir computing
2023/2024 MAZZOCCHETTI, LUCA
Confronto di reti neurali ricorrenti addestrate con algoritmi standard e biologicamente plausibili
2023/2024 BORTOLATO, ANGELA
Connettività dinamica e non-linearità in un modello computazionale del cervello
2022/2023 CERNI, PAOLO LAPO
Connettività dinamica in un modello computazionale del cervello affetto da ictus
2022/2023 COLLICELLI, SILVIA
Deep learning approaches for preprocessing and analysis of neuroimaging data
2024/2025 WATHTHE LIYANAGE, WAGEESHA WIDURANGA
Development and calibration of a predictive physics-based model for solar array power degradation in spacecraft
2023/2024 SGORLON GAIATTO, CARLO
Incorporating Machine Learning for Value-Based Pricing: An Innovative Framework Combining Quotation and Sales Analytics
2023/2024 CAPODAGLIO, ALESSANDRO MARIA
Information Theoretic Analysis of Deep Neural Networks
2023/2024 BERGAMIN, ELEONORA
Latent space modelling of whole-brain dynamics: a Koopman-theoretical approach
2024/2025 TANCREDI, RICCARDO
Linearizzazione e predizione con reti neurali ricorrenti
2024/2025 DE POLI, NICCOLÒ
Modelli nulli per l'analisi della risposta di una rete neurale a perturbazioni esterne
2023/2024 SERAFINI, MATTEO
Monte Carlo Methods for Hyperparameters Handling in Bayesian Optimization for IT Configuration Autotuning
2022/2023 MANARA, NOEMI
”neural connectivity: a parallel in silico and in vitro analysis
2022/2023 NGUYEN, XUAN TUNG
Predicting brain activity from arousal measurements
2024/2025 SBARBATI, FEDERICO
Produzione di entropia nel cervello a livello macroscopico
2021/2022 CASAGRANDE, GABRIELE
Riduzione della dimensionalità dell'attività cerebrale tramite autoencoder variazionale
2021/2022 FRIGNANI, JACOPO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2023 | A Machine Learning Approach to Estimate Stray Losses in Power Transformers | A Machine Learning Approach to Estimate Stray Losses in Power Transformers | RODRIGUES VERO FILHO, EMERSON | |
| Lauree magistrali | 2024 | A simple algorithm for uncertainty quantification in Snake | A simple algorithm for uncertainty quantification in Snake | GIORGETTI, LUCA | |
| Lauree triennali | 2022 | Attrattori dinamici nelle reti neurali ricorrenti | Attractors of recurrent neural networks | BELTRAME, GINEVRA | |
| Lauree magistrali | 2023 | Audio Signal Analysis using Deep Learning | Audio Signal Analysis using Deep Learning | HOETH, MAX HENNING | |
| Lauree magistrali | 2023 | Closed-loop neurostimulation via reservoir computing | Closed-loop neurostimulation via reservoir computing | MAZZOCCHETTI, LUCA | |
| Lauree triennali | 2023 | Confronto di reti neurali ricorrenti addestrate con algoritmi standard e biologicamente plausibili | Comparison of recurrent neural networks trained with standard and biologically plausible learning algorithms | BORTOLATO, ANGELA | |
| Lauree triennali | 2022 | Connettività dinamica e non-linearità in un modello computazionale del cervello | Dynamical connectivity and nonlinearity in a whole-brain computational model | CERNI, PAOLO LAPO | |
| Lauree triennali | 2022 | Connettività dinamica in un modello computazionale del cervello affetto da ictus | Dynamical connectivity in a whole-brain computational model of stroke | COLLICELLI, SILVIA | |
| Lauree magistrali | 2024 | Deep learning approaches for preprocessing and analysis of neuroimaging data | Deep learning approaches for preprocessing and analysis of neuroimaging data | WATHTHE LIYANAGE, WAGEESHA WIDURANGA | |
| 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 | 2023 | Incorporating Machine Learning for Value-Based Pricing: An Innovative Framework Combining Quotation and Sales Analytics | Incorporating Machine Learning for Value-Based Pricing: An Innovative Framework Combining Quotation and Sales Analytics | CAPODAGLIO, ALESSANDRO MARIA | |
| Lauree magistrali | 2023 | Information Theoretic Analysis of Deep Neural Networks | Information Theoretic Analysis of Deep Neural Networks | BERGAMIN, ELEONORA | |
| Lauree magistrali | 2024 | Latent space modelling of whole-brain dynamics: a Koopman-theoretical approach | Latent space modelling of whole-brain dynamics: a Koopman-theoretical approach | TANCREDI, RICCARDO | |
| Lauree triennali | 2024 | Linearizzazione e predizione con reti neurali ricorrenti | Linearizing and forecasting with recurrent neural networks | DE POLI, NICCOLÒ | |
| Lauree triennali | 2023 | Modelli nulli per l'analisi della risposta di una rete neurale a perturbazioni esterne | Null models to detect the response of a neural network to external perturbations | SERAFINI, MATTEO | |
| Lauree magistrali | 2022 | Monte Carlo Methods for Hyperparameters Handling in Bayesian Optimization for IT Configuration Autotuning | Monte Carlo Methods for Hyperparameters Handling in Bayesian Optimization for IT Configuration Autotuning | MANARA, NOEMI | |
| Lauree magistrali | 2022 | ”neural connectivity: a parallel in silico and in vitro analysis | ”neural connectivity: a parallel in silico and in vitro analysis | NGUYEN, XUAN TUNG | |
| Lauree triennali | 2024 | Predicting brain activity from arousal measurements | Predicting brain activity from arousal measurements | SBARBATI, FEDERICO | |
| Lauree triennali | 2021 | Produzione di entropia nel cervello a livello macroscopico | Entropy production in the brain at the macroscopic level | CASAGRANDE, GABRIELE | |
| Lauree triennali | 2021 | Riduzione della dimensionalità dell'attività cerebrale tramite autoencoder variazionale | Low dimensional representations of brain activity via variational autoencoder | FRIGNANI, JACOPO |
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