Sfoglia per Corso
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
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
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
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
Emulating cosmological likelihoods with machine learning
2022/2023 GIUNTA, MARCO
Evaluating the Accuracy of Machine Learning Algorithms for Classifying Passive Exoskeleton Movements
2022/2023 FONTANA, FRANCESCO
Explainable Machine Learning Applied to Proteins
2021/2022 ROSSET, LORENZO
Exploring the interplay between learning and gene expression
2023/2024 PACHECO GARCIA, SOFIA
Extending SSL patches spatial relations in Vision Transformers for object detection and instance segmentation tasks
2022/2023 ZILIOTTO, FILIPPO
Federated multimodal learning for road scenes semantic segmentation
2022/2023 FELLA, ALESSANDRO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| 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 | |
| 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 | 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 | 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 | 2022 | Emulating cosmological likelihoods with machine learning | Emulating cosmological likelihoods with machine learning | GIUNTA, MARCO | |
| 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 | |
| Lauree magistrali | 2021 | Explainable Machine Learning Applied to Proteins | Explainable Machine Learning Applied to Proteins | ROSSET, LORENZO | |
| Lauree magistrali | 2023 | Exploring the interplay between learning and gene expression | Exploring the interplay between learning and gene expression | PACHECO GARCIA, SOFIA | |
| 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 | 2022 | Federated multimodal learning for road scenes semantic segmentation | Federated multimodal learning for road scenes semantic segmentation | FELLA, ALESSANDRO |
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