Sfoglia per Corso
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 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 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
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
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 | 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 | 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 |
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