Sfoglia per Relatore
A Deep Gravity model for mobility flows generation
2022/2023 SARAN GATTORNO, GIANCARLO
A deep learning approach for feature extraction from resting state functional connectivity of stroke patients and prediction of neuropsychological scores
2021/2022 IRIARTE, DELFINA
A first principle model of Free Recall
2020/2021 MANZALI, FRANCESCO
Analisi delle oscillazioni neuronali e della sincronizzazione nel cervello
2021/2022 LORENZETTI, CLAUDIA
Bistabilità e bacini di attrazione nella dinamica neurale
2022/2023 SINGH, MANJODH
CHEFTOP-X and SPEED-X ovens physical simulator for DeepCooking project
2022/2023 SINIGAGLIA, NICHOLAS
Coexistence and diversity in a consumer resource model with a serial dilution setting
2021/2022 LIPANI, SAMUELE PIO
Complex-Valued Deep Learning for Condition Monitoring
2020/2021 PUJATTI, MATTIA
Connectomics meets bio-inspired computing: analysis of the complex interplay between network structure and function
2020/2021 PUPPIN, MICHELE
Critical phenomena in multiscale empirical reaction-diffusion systems, study and implementation
2020/2021 MANISCALCO, DAVIDE
Dalla dinamica del neurone alla modellizzazione dell'attività neurale di popolazione.
2022/2023 FIASCHI, GABRIELE
Data-driven discovery of the mechanism of systems described by partial differential equations
2022/2023 PASUPATHIPILLAI, THEIVAN
Effective connectivity and controllability in brain dynamics
2020/2021 KABBUR HANUMANTHAPPA MANJUNATHA, KARAN
Electrical Impedance Spectroscopy time series analysis and its application in cooking processes
2022/2023 NAGARO QUIROZ, GIANMARCO
Hidden Markov Models for dimensionality reduction of neural activity
2021/2022 BEDIN, VERONICA
Interplay between exogenous triggers and endogenous behavioral changes in complex contagion processes on social systems
2020/2021 EMINENTE, CLARA
La biodiversità del Plancton e il Paradosso inverso
2022/2023 ARDUINI, LEONARDO
Latent variable models and sequence detection for neural population dynamics
2020/2021 COSTA, FILIPPO
Machine Learning approaches in Neuroscience: behavioral and sleep classification
2020/2021 CUSINATO, RICCARDO
MEASURING THE INFORMATION FLOW BETWEEN THE WEB AND STOCK MARKET VOLUMES: A MULTIVARIATE TRANSFER ENTROPY ANALYSIS
2021/2022 VICENTINI, GIULIO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree triennali | 2022 | A Deep Gravity model for mobility flows generation | A Deep Gravity model for mobility flows generation | SARAN GATTORNO, GIANCARLO | |
| Lauree magistrali | 2021 | A deep learning approach for feature extraction from resting state functional connectivity of stroke patients and prediction of neuropsychological scores | A deep learning approach for feature extraction from resting state functional connectivity of stroke patients and prediction of neuropsychological scores | IRIARTE, DELFINA | |
| Lauree magistrali | 2020 | A first principle model of Free Recall | A first principle model of Free Recall | MANZALI, FRANCESCO | |
| Lauree triennali | 2021 | Analisi delle oscillazioni neuronali e della sincronizzazione nel cervello | Analyses of neural oscillations and synchrony in the brain | LORENZETTI, CLAUDIA | |
| Lauree triennali | 2022 | Bistabilità e bacini di attrazione nella dinamica neurale | Bistability and basins of attraction in neural dynamics | SINGH, MANJODH | |
| Lauree magistrali | 2022 | CHEFTOP-X and SPEED-X ovens physical simulator for DeepCooking project | CHEFTOP-X and SPEED-X ovens physical simulator for DeepCooking project | SINIGAGLIA, NICHOLAS | |
| Lauree magistrali | 2021 | Coexistence and diversity in a consumer resource model with a serial dilution setting | Coexistence and diversity in a consumer resource model with a serial dilution setting | LIPANI, SAMUELE PIO | |
| Lauree magistrali | 2020 | Complex-Valued Deep Learning for Condition Monitoring | Complex-Valued Deep Learning for Condition Monitoring | PUJATTI, MATTIA | |
| Lauree magistrali | 2020 | Connectomics meets bio-inspired computing: analysis of the complex interplay between network structure and function | Connectomics meets bio-inspired computing: analysis of the complex interplay between network structure and function | PUPPIN, MICHELE | |
| Lauree magistrali | 2020 | Critical phenomena in multiscale empirical reaction-diffusion systems, study and implementation | Critical phenomena in multiscale empirical reaction-diffusion systems, study and implementation | MANISCALCO, DAVIDE | |
| Lauree triennali | 2022 | Dalla dinamica del neurone alla modellizzazione dell'attività neurale di popolazione. | From the dynamics of the neuron to the modelling of population neural activity. | FIASCHI, GABRIELE | |
| 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 | 2020 | Effective connectivity and controllability in brain dynamics | Effective connectivity and controllability in brain dynamics | KABBUR HANUMANTHAPPA MANJUNATHA, KARAN | |
| 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 triennali | 2021 | Hidden Markov Models for dimensionality reduction of neural activity | Hidden Markov Models for dimensionality reduction of neural activity | BEDIN, VERONICA | |
| Lauree magistrali | 2020 | Interplay between exogenous triggers and endogenous behavioral changes in complex contagion processes on social systems | Interplay between exogenous triggers and endogenous behavioral changes in complex contagion processes on social systems | EMINENTE, CLARA | |
| Lauree triennali | 2022 | La biodiversità del Plancton e il Paradosso inverso | Plankton Biodiversity and the Inverted Paradox | ARDUINI, LEONARDO | |
| Lauree magistrali | 2020 | Latent variable models and sequence detection for neural population dynamics | Latent variable models and sequence detection for neural population dynamics | COSTA, FILIPPO | |
| Lauree magistrali | 2020 | Machine Learning approaches in Neuroscience: behavioral and sleep classification | Machine Learning approaches in Neuroscience: behavioral and sleep classification | CUSINATO, RICCARDO | |
| Lauree magistrali | 2021 | MEASURING THE INFORMATION FLOW BETWEEN THE WEB AND STOCK MARKET VOLUMES: A MULTIVARIATE TRANSFER ENTROPY ANALYSIS | MEASURING THE INFORMATION FLOW BETWEEN THE WEB AND STOCK MARKET VOLUMES: A MULTIVARIATE TRANSFER ENTROPY ANALYSIS | VICENTINI, GIULIO |
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