Sfoglia per Corso
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
Dynamics of interdependent epidemics: a physics approach.
2021/2022 SARTORE, MARIKA
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
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
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
Floquet counterdiabatic protocols for Quantum Annealing on Parity architecture
2023/2024 BARONE, FRANCESCO PIO
Gradient Boosting for High-Redshift Galaxies Identification in the Euclid Deep Fields
2020/2021 SIGNOR, THEOSAMUELE
Gradient-based quantum optimal control on superconducting qubit systems
2021/2022 PICCINELLI, SAMUELE
GTM-based aggregation for Graph Convolutional Neural Network
2020/2021 FRAZZETTO, PAOLO
Human action detection in temporal data
2023/2024 BABAKHANI, SARVENAZ
Improving Data Quality in Customer Relationship Management Systems: a method for cleaning personal information
2021/2022 LEONELLI, ELENA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| 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 | 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 | 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 | 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 | |
| Lauree magistrali | 2023 | Floquet counterdiabatic protocols for Quantum Annealing on Parity architecture | Floquet counterdiabatic protocols for Quantum Annealing on Parity architecture | BARONE, FRANCESCO PIO | |
| Lauree magistrali | 2020 | Gradient Boosting for High-Redshift Galaxies Identification in the Euclid Deep Fields | Gradient Boosting for High-Redshift Galaxies Identification in the Euclid Deep Fields | SIGNOR, THEOSAMUELE | |
| Lauree magistrali | 2021 | Gradient-based quantum optimal control on superconducting qubit systems | Gradient-based quantum optimal control on superconducting qubit systems | PICCINELLI, SAMUELE | |
| Lauree magistrali | 2020 | GTM-based aggregation for Graph Convolutional Neural Network | GTM-based aggregation for Graph Convolutional Neural Network | FRAZZETTO, PAOLO | |
| Lauree magistrali | 2023 | Human action detection in temporal data | Human action detection in temporal data | BABAKHANI, SARVENAZ | |
| Lauree magistrali | 2021 | Improving Data Quality in Customer Relationship Management Systems: a method for cleaning personal information | Improving Data Quality in Customer Relationship Management Systems: a method for cleaning personal information | LEONELLI, ELENA |
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