Sfoglia per Corso
Characterizing SARS-CoV-2 oncogenic features from protein-protein multilayer interaction networks
2022/2023 ZAMBELLI, FRANCESCO
CHEFTOP-X and SPEED-X ovens physical simulator for DeepCooking project
2022/2023 SINIGAGLIA, NICHOLAS
Closed-Loop Gate Optimisation via Efficient Two-Qubit Tomography for NV Centers
2021/2022 MARCOMINI, ALESSANDRO
Coexistence and diversity in a consumer resource model with a serial dilution setting
2021/2022 LIPANI, SAMUELE PIO
Combination techniques of monitoring data and model estimations of air pollutants concentration in the Veneto region
2022/2023 BURIOLA, LORENZO
Comparison of experimental and simulated beamlet deflection in a MITICA-like extraction system at BATMAN Upgrade
2020/2021 SEGALINI, BEATRICE
Complex-Valued Deep Learning for Condition Monitoring
2020/2021 PUJATTI, MATTIA
Computer vision models for multi-object visual tracking: evaluations and real-world applications
2021/2022 NICOLAI, ANDREA
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
Data-driven discovery of the mechanism of systems described by partial differential equations
2022/2023 PASUPATHIPILLAI, THEIVAN
Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study
2023/2024 BONI, FILIPPO
Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling
2022/2023 MARTEMUCCI, WALTER
Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC
2021/2022 GIORGETTI, SABRINA
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 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
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2022 | Characterizing SARS-CoV-2 oncogenic features from protein-protein multilayer interaction networks | Characterizing SARS-CoV-2 oncogenic features from protein-protein multilayer interaction networks | ZAMBELLI, FRANCESCO | |
| 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 | Closed-Loop Gate Optimisation via Efficient Two-Qubit Tomography for NV Centers | Closed-Loop Gate Optimisation via Efficient Two-Qubit Tomography for NV Centers | MARCOMINI, ALESSANDRO | |
| 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 | 2022 | Combination techniques of monitoring data and model estimations of air pollutants concentration in the Veneto region | Combination techniques of monitoring data and model estimations of air pollutants concentration in the Veneto region | BURIOLA, LORENZO | |
| Lauree magistrali | 2020 | Comparison of experimental and simulated beamlet deflection in a MITICA-like extraction system at BATMAN Upgrade | Comparison of experimental and simulated beamlet deflection in a MITICA-like extraction system at BATMAN Upgrade | SEGALINI, BEATRICE | |
| Lauree magistrali | 2020 | Complex-Valued Deep Learning for Condition Monitoring | Complex-Valued Deep Learning for Condition Monitoring | PUJATTI, MATTIA | |
| Lauree magistrali | 2021 | Computer vision models for multi-object visual tracking: evaluations and real-world applications | Computer vision models for multi-object visual tracking: evaluations and real-world applications | NICOLAI, ANDREA | |
| 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 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 | 2023 | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | BONI, FILIPPO | |
| Lauree magistrali | 2022 | Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling | Deep Learning in Banking Risk Management: A Comparative Assessment of LSTM Network and Nelson-Siegel Stochastic Modeling | MARTEMUCCI, WALTER | |
| Lauree magistrali | 2021 | Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC | Deep learning inference on FPGAs for the CMS Level-1 Trigger Scouting at the LHC | GIORGETTI, SABRINA | |
| 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 | 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 |
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