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Tipologia Anno Titolo Titolo inglese Autore File
Lauree triennali 2021 Bias negli algoritmi di Machine Learning - Il caso degli algoritmi per l'assistenza sanitaria negli Stati Uniti Bias in Machine Learning algorithms - The case of medical assistance algorithms in the United States MONACO, FRANCESCO PIO
Lauree magistrali 2022 Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System DAVUT, EMRE
Lauree magistrali 2022 Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning SOLDÀ, PIETRO
Lauree magistrali 2021 Collaborative filtering for recommender systems with implicit feedback Collaborative filtering for recommender systems with implicit feedback CONTE, MASSIMILIANO
Lauree magistrali 2022 Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework BUGARIN, NIKOLA
Lauree magistrali 2022 Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images CECCON, MARINA
Lauree triennali 2020 CONTROLLABILITA' DI UNA SUPPLYCHAIN E POLITICA MONETARIA CON CONTROLLORI PID Controllability of a SupplyChain, Monetary Policy and PID control MILANI, RICCARDO
Lauree magistrali 2020 A deep learning-based approach for defect classification with context information in semiconductor manufacturing - Arena, Simone
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 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 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
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