Sfoglia per Relatore
A continual learning framework to scale deep learning approaches for packaging equipment monitoring
2021/2022 DERONJIC, DENIS
A deep learning-based approach for semiconductor manufacturing images defect identification
2023/2024 BINOTTO, STEFANO
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 Fairness Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services
2023/2024 PIRON, LUCA VITTORIO
A Hybrid and Adaptive Learning Framework for Personalized Restaurant Recommendations
2023/2024 ATES, HAKAN
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
Adaptive Traffic Light Control Using Double Deep Q-Networks: Balancing Efficiency and Fairness for Urban Mobility
2023/2024 SCATTO, GIACOMO
Advancing eCommerce monitoring tools with AI: Development of a visual tracking system of the customer journey
2024/2025 MAMELI, DARIO
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
ANALYSING DEPTH DATA WITH SUPERVISED AND UNSUPERVISED LEARNING
2023/2024 KARAKAYA, FURKAN
Anomaly Detection for Shared Mobility
2024/2025 ISGANDAROV, ELNUR
Anomaly Detection in Textile Manufacturing using Unsupervised Approaches
2020/2021 ANELLO, EUGENIA
Anomaly detection of multivariate time series for industrial machinery
2023/2024 BEE, NICOLA
Anomaly Detection: analisi teorica e indagine sul metodo Isolation Forest
2022/2023 BRESSAN, ALBERTO
Applications of Large Language Models in Document Analysis and Automation
2024/2025 MAZZA, DAVIDE
| 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 | 2023 | A deep learning-based approach for semiconductor manufacturing images defect identification | A deep learning-based approach for semiconductor manufacturing images defect identification | BINOTTO, STEFANO | |
| 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 | 2023 | A Fairness Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services | A Fairness Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services | PIRON, LUCA VITTORIO | |
| Lauree magistrali | 2023 | A Hybrid and Adaptive Learning Framework for Personalized Restaurant Recommendations | A Hybrid and Adaptive Learning Framework for Personalized Restaurant Recommendations | ATES, HAKAN | |
| 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 | 2023 | Adaptive Traffic Light Control Using Double Deep Q-Networks: Balancing Efficiency and Fairness for Urban Mobility | Intelligent Traffic Light Control Using Reinforcement Learning: Balancing Efficiency and Fairness for Urban Mobility | SCATTO, GIACOMO | |
| Lauree magistrali | 2024 | Advancing eCommerce monitoring tools with AI: Development of a visual tracking system of the customer journey | Advancing eCommerce monitoring tools with AI: Development of a visual tracking system of the customer journey | MAMELI, DARIO | |
| 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 | 2023 | ANALYSING DEPTH DATA WITH SUPERVISED AND UNSUPERVISED LEARNING | ANALYSING DEPTH DATA WITH SUPERVISED AND UNSUPERVISED LEARNING | KARAKAYA, FURKAN | |
| Lauree magistrali | 2024 | Anomaly Detection for Shared Mobility | Anomaly Detection for Shared Mobility | ISGANDAROV, ELNUR | |
| Lauree magistrali | 2020 | Anomaly Detection in Textile Manufacturing using Unsupervised Approaches | Anomaly Detection in Textile Manufacturing using Unsupervised Approaches | ANELLO, EUGENIA | |
| Lauree magistrali | 2023 | Anomaly detection of multivariate time series for industrial machinery | Anomaly detection of multivariate time series for industrial machinery | BEE, NICOLA | |
| 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 | 2024 | Applications of Large Language Models in Document Analysis and Automation | Applications of Large Language Models in Document Analysis and Automation | MAZZA, DAVIDE |
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