Sfoglia per Relatore
A continual learning framework to scale deep learning approaches for packaging equipment monitoring
2021/2022 DERONJIC, DENIS
A Domain Adaptation approach for sequence modeling through Deep Learning in semiconductor manufacturing: adversarial training setup with Temporal Convolutional Network and Long-Short Term Memory models
2021/2022 DALLA ZUANNA, FILIPPO
A machine learning-based soft sensing approach for household tumble dryers
2021/2022 SARTOR, DAVIDE
A Safe Reinforcement Learning Approach for Active Fault Diagnosis
2022/2023 ZACCARIA, VALENTINA
Active Learning for regression on multiphase flowmeter data.
2020/2021 BEN SOLTANE, AHMED
Active Learning per la Progettazione degli Esperimenti: una applicazione Industriale
2022/2023 FERRETTO, FRANCESCO
An Image Similarity-based recommendation system for e-Commerce
2021/2022 ROJAS ARDILA, JOSE SEBASTIAN
Analisi delle Robustezza di Modelli Self-Supervised
2021/2022 SERGIO, FEDERICO
Analisi Teorica dell'Anomaly Detection con Metodo Isolation Forest: Principi e Applicazioni
2022/2023 LONGHIN, DILETTA
Anomaly Detection in Textile Manufacturing using Unsupervised Approaches
2020/2021 ANELLO, EUGENIA
Anomaly Detection: analisi teorica e indagine sul metodo Isolation Forest
2022/2023 BRESSAN, ALBERTO
Approcci di Machine Learning per il Monitoraggio della Malattia da Decompressione nei Subacquei.
2022/2023 FARINEA, LORENZO
Approcci di Machine Learning per il Riconoscimento di Fault e Anomalie in Macchine Utensili. Machine Learnig Approches for Fault and Anomaly Detection in Machine Tools
2019/2020 Bessegato, Marco
Automated environment for the analysis of ASPICE compliance for automotive FW
2022/2023 ABDENNADHER, NORHEN
AutoML for Advanced Monitoring in Digital Manufacturing and Industry 4.0
2022/2023 PERATONER, ALESSANDRO
Bias negli algoritmi di Machine Learning - Il caso degli algoritmi per l'assistenza sanitaria negli Stati Uniti
2021/2022 MONACO, FRANCESCO PIO
Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning
2022/2023 SOLDÀ, PIETRO
Collaborative filtering for recommender systems with implicit feedback
2021/2022 CONTE, MASSIMILIANO
Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework
2022/2023 BUGARIN, NIKOLA
Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images
2022/2023 CECCON, MARINA
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2021 | A continual learning framework to scale deep learning approaches for packaging equipment monitoring | A continual learning framework to scale deep learning approaches for packaging equipment monitoring | DERONJIC, DENIS | |
Lauree magistrali | 2021 | A Domain Adaptation approach for sequence modeling through Deep Learning in semiconductor manufacturing: adversarial training setup with Temporal Convolutional Network and Long-Short Term Memory models | A Domain Adaptation approach for sequence modeling through Deep Learning in semiconductor manufacturing: adversarial training setup with Temporal Convolutional Network and Long-Short Term Memory models | DALLA ZUANNA, FILIPPO | |
Lauree magistrali | 2021 | A machine learning-based soft sensing approach for household tumble dryers | A machine learning-based soft sensing approach for household tumble dryers | SARTOR, DAVIDE | |
Lauree magistrali | 2022 | A Safe Reinforcement Learning Approach for Active Fault Diagnosis | A Safe Reinforcement Learning Approach for Active Fault Diagnosis | ZACCARIA, VALENTINA | |
Lauree magistrali | 2020 | Active Learning for regression on multiphase flowmeter data. | Active Learning for regression on multiphase flowmeter data. | BEN SOLTANE, AHMED | |
Lauree magistrali | 2022 | Active Learning per la Progettazione degli Esperimenti: una applicazione Industriale | Active Learning for Design of Experiments: an Industrial application | FERRETTO, FRANCESCO | |
Lauree magistrali | 2021 | An Image Similarity-based recommendation system for e-Commerce | An Image Similarity-based recommendation system for e-Commerce | ROJAS ARDILA, JOSE SEBASTIAN | |
Lauree magistrali | 2021 | Analisi delle Robustezza di Modelli Self-Supervised | Robustness Analysis of Self-Supervised Models | SERGIO, FEDERICO | |
Lauree triennali | 2022 | Analisi Teorica dell'Anomaly Detection con Metodo Isolation Forest: Principi e Applicazioni | Theoretical Analysis of Anomaly Detection with Isolation Forest Method: Principles and Applications | LONGHIN, DILETTA | |
Lauree magistrali | 2020 | Anomaly Detection in Textile Manufacturing using Unsupervised Approaches | Anomaly Detection in Textile Manufacturing using Unsupervised Approaches | ANELLO, EUGENIA | |
Lauree triennali | 2022 | Anomaly Detection: analisi teorica e indagine sul metodo Isolation Forest | Anomaly Detection: theoretical analysis and investigation on the Isolation Forest method | BRESSAN, ALBERTO | |
Lauree magistrali | 2022 | Approcci di Machine Learning per il Monitoraggio della Malattia da Decompressione nei Subacquei. | Machine Learning Based Approaches for Monitoring Decompression Sickness in Underwater Diving. | FARINEA, LORENZO | |
Lauree magistrali | 2019 | Approcci di Machine Learning per il Riconoscimento di Fault e Anomalie in Macchine Utensili. Machine Learnig Approches for Fault and Anomaly Detection in Machine Tools | - | Bessegato, Marco | |
Lauree magistrali | 2022 | Automated environment for the analysis of ASPICE compliance for automotive FW | Automated environment for the analysis of ASPICE compliance for automotive FW | ABDENNADHER, NORHEN | |
Lauree magistrali | 2022 | AutoML for Advanced Monitoring in Digital Manufacturing and Industry 4.0 | AutoML for Advanced Monitoring in Digital Manufacturing and Industry 4.0 | PERATONER, ALESSANDRO | |
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 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 |
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