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Mostrati risultati da 25 a 44 di 88
Tipologia Anno Titolo Titolo inglese Autore File
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
Lauree magistrali 2022 Federated multimodal learning for road scenes semantic segmentation Federated multimodal learning for road scenes semantic segmentation FELLA, ALESSANDRO
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
Mostrati risultati da 25 a 44 di 88
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