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Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2020 Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing CUNI, PAULI
Lauree magistrali 2022 Deep Reinforcement Learning Approaches for the Game of Briscola Deep Reinforcement Learning Approaches for the Game of Briscola SINGH, AMANPREET
Lauree triennali 2023 Design and development of a coordination and protection system for the SPES project Design and development of a coordination and protection system for the SPES project MAZZAROTTO, FILIPPO
Lauree magistrali 2023 Development and Calibration of a Graph Neural Network for Sewage Water System Development and Calibration of a Graph Neural Network for Sewage Water System TURKYENER, EGE ALP
Lauree magistrali 2022 Development of Machine Learning models for Packet Quality Prediction in industrial machines Development of Machine Learning models for Packet Quality Prediction in industrial machines FRIZZO, DAVIDE
Lauree magistrali 2022 Digital twin based predictive maintenance solution for baggage handling transport tray applying machine vision, vibration, laser distance data Digital twin based predictive maintenance solution for baggage handling transport tray applying machine vision, vibration, laser distance data FERRARI, ANTONIO
Lauree magistrali 2022 Error Cause Analysis of Laboratory Results with the Help of AI Error Cause Analysis of Laboratory Results with the Help of AI MATTEAZZI, ANDREA
Lauree magistrali 2023 Exploring Large Language Models for Chatbot Development: A Natural Language Processing Framework Exploring Large Language Models for Chatbot Development: A Natural Language Processing Framework PETRINA, STEFANO
Lauree magistrali 2023 Implementing Machine learning algorithms in the prediction of aluminum quality during recycling Implementing Machine learning algorithms in the prediction of aluminum quality during recycling KHODABAKHSHI, MONA
Lauree magistrali 2022 Improvement of time-series forecasting algorithms in low-power embedded systems by efficient online/incremental learning Improvement of time-series forecasting algorithms in low-power embedded systems by efficient online/incremental learning SHAMSAKI, EMAD
Lauree triennali 2021 Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach VIOLA, MASSIMILIANO
Lauree magistrali 2022 Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting BUGARIC, JOVANA
Lauree magistrali 2022 Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches BELLAN, RICCARDO
Lauree magistrali 2020 Isolation-based Anomaly Detection: State-of-Art Review and a Mondrian Forest-inspired Advancement Isolation-based Anomaly Detection: State-of-Art Review and a Mondrian Forest-inspired Advancement DALLA CHIARA, FILIPPO
Lauree magistrali 2022 Latent Replay for Continual Learning on Edge devices with Efficient Architectures Latent Replay for Continual Learning on Edge devices with Efficient Architectures TREMONTI, MATTEO
Lauree magistrali 2021 Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios CONVENTO, ENRICO
Lauree magistrali 2022 Machine Learning approaches for domestic coffee machines Machine Learning approaches for domestic coffee machines TORTORA, NICOLAS
Lauree magistrali 2021 Machine Learning approaches for Smart Monitoring of Sintering Equipment Machine Learning approaches for Smart Monitoring of Sintering Equipment MECENERO, SAMUELE
Lauree magistrali 2023 Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling ROSALEN, RICCARDO
Lauree magistrali 2021 Machine Learning-based Anomaly Detection for Hydroelectric Power Plants Machine Learning-based Anomaly Detection for Hydroelectric Power Plants FANAN, MATTIA
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