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Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2024 A data-driven approach to Google Advertising Campaigns A data-driven approach to Google Advertising Campaigns SPAGNOLO, BEATRICE
Lauree magistrali 2024 A Dual Approach to Plastic Biodegradation: From Metagenomic Assemblies to Predictive Enzyme Discovery A Dual Approach to Plastic Biodegradation: From Metagenomic Assemblies to Predictive Enzyme Discovery AGOSTINI, FLAVIO
Lauree magistrali 2024 A Fast Inversion-Free Approach for Training Spiking Neural Networks via ADMM A Fast Inversion-Free Approach for Training Spiking Neural Networks via ADMM SNEZSKAIA, ALISA
Lauree magistrali 2024 A Machine Learning Approach for Automatic Identification of Tawny Owl Individuals From Acoustic Features A Machine Learning Approach for Automatic Identification of Tawny Owl Individuals From Acoustic Features NAJAD, ODAY
Lauree magistrali 2024 A NEW PROJECTION FREE ALGORITHM FOR THE MAXIMUM COMMON CLIQUE PROBLEM A NEW PROJECTION FREE ALGORITHM FOR THE MAXIMUM COMMON CLIQUE PROBLEM SPISSO, GIOVANNI
Lauree magistrali 2024 Actor-Critic Reinforcement Learning Models for Portfolio Management Actor-Critic Reinforcement Learning Models for Portfolio Management NGUYEN MINH, HIEU
Lauree magistrali 2024 Adapting to the Unknown: Continual Learning for Unsupervised Anomaly Detection in Medical Imaging Adapting to the Unknown: Continual Learning for Unsupervised Anomaly Detection in Medical Imaging NURIEV, RUSLAN
Lauree magistrali 2024 Agricultural Field Segmentation and Crop Type Mapping in Satellite Image Time Series Data by applying Graph Neural Network Agricultural Field Segmentation and Crop Type Mapping in Satellite Image Time Series Data by applying Graph Neural Network FABRIS, PAOLO
Lauree magistrali 2024 Analysis of Demographic and Residential Data from Milan: Integration, Modeling and Visualization Analysis of Demographic and Residential Data from Milan: Integration, Modeling and Visualization DI TULLIO, TOMMASO
Lauree magistrali 2024 Anomaly Detection in MotoGP Telemetry Data Anomaly Detection in MotoGP Telemetry Data BASILE, SIMONE
Lauree magistrali 2024 Application of Partition of Unity Methods in the Graph Neural Networks’ framework Application of Partition of Unity Methods in the Graph Neural Networks’ framework CASSONE, MATTEO
Lauree magistrali 2024 Application of spherical variational autoencoders to human population genetic structure Application of spherical variational autoencoders to human population genetic structure. TISO, ELIA
Lauree magistrali 2024 Automatic model selection for time series forecasting: a sales data application Automatic model selection for time series forecasting: a sales data application LAUDITI, CHIARA
Lauree magistrali 2024 Beyond Sociodemographics: Designing and Implementing a Machine Learning Pipeline for Contextual Risk Analysis of Mafia Infiltration in Italian Municipalities Beyond Sociodemographics: Designing and Implementing a Machine Learning Pipeline for Contextual Risk Analysis of Mafia Infiltration in Italian Municipalities MILAN, LISA
Lauree magistrali 2024 Clustering and Anomaly Detection in Industrial IoT Data Clustering and Anomaly Detection in Industrial IoT Data COGO, GIULIO
Lauree magistrali 2024 Clustering-based techniques for compression of graph signals via geometric graph wedgelets Clustering-based techniques for compression of graph signals via geometric graph wedgelets CAZZIN, RICCARDO
Lauree magistrali 2024 Comparative Evaluation of Computer Vision Approaches for Colorectal Polyp Classification in Colonoscopy Comparative Evaluation of Computer Vision Approaches for Colorectal Polyp Classification in Colonoscopy PALTOV, NIKITA
Lauree magistrali 2024 Comparative Evaluation of Object Detection Models in Colonoscopy Comparative Evaluation of Object Detection Models in Colonoscopy PRENDIN, LAURA
Lauree magistrali 2024 Constrained Molecular Graph Generation with Diffusion Models Constrained Molecular Graph Generation with Diffusion Models ISLEK, RANA
Lauree magistrali 2024 Continuous Modeling of Origin–Destination Flows: A Framework for Long-Term Planning at Amazon Continuous Modeling of Origin–Destination Flows: A Framework for Long-Term Planning at Amazon GUPTA, ARYAN
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