Sfoglia per Relatore
Adaptive Traffic Signal Control via Multi-Agent Reinforcement Learning: Balancing Vehicle and Pedestrian Flows
2025/2026 FERRARI, DAVIDE
Advancing eCommerce monitoring tools with AI: Development of a visual tracking system of the customer journey
2024/2025 MAMELI, DARIO
Agenti autonomi per Snake tramite Reinforcement Learning tabellare: analisi e confronto di Q-Learning, SARSA e Monte Carlo
2025/2026 SELLAMI, YASER
Algorithmic Approaches for Detecting Data Shifts in Support of MLOps for Production-Scale Machine Learning
2024/2025 LAMBERTINI, LORENZO
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
Analyzing the Effectiveness of Vision Mamba in Continual Learning Settings
2025/2026 ZEINALABEDIN ZADEGAN, PEDRAM
Anomaly Detection for Shared Mobility
2024/2025 ISGANDAROV, ELNUR
Anomaly Detection in Textile Manufacturing using Unsupervised Approaches
2020/2021 ANELLO, EUGENIA
Anomaly detection in unsupervised industrial settings, developing human-centric diagnostic and prognostic tools to improve decision-making and transparency
2025/2026 DARVISHI, ALI
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
Anomaly Detection: analisi teorica e ricerca sul metodo DBSCAN
2024/2025 SANTORO, GIUSEPPE
AnyLight: A Generalizable Multi-Agent Reinforcement Learning Architecture for Heterogeneous Traffic Networks
2025/2026 BUSTAFFA, MARCO
Application of Normalizing Flows in Deep Reinforcement Learning
2024/2025 BOSCOLO MENEGUOLO, FRANCESCO
Applications of Large Language Models in Document Analysis and Automation
2024/2025 MAZZA, DAVIDE
Applicazione di algoritmi di apprendimento attivo e semi-supervisionato per la visual anomaly detection industriale
2025/2026 VENTURINI, FEDERICO
Approcci di Machine Learning per il Monitoraggio della Malattia da Decompressione nei Subacquei.
2022/2023 FARINEA, LORENZO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2025 | Adaptive Traffic Signal Control via Multi-Agent Reinforcement Learning: Balancing Vehicle and Pedestrian Flows | Adaptive Traffic Signal Control via Multi-Agent Reinforcement Learning: Balancing Vehicle and Pedestrian Flows | FERRARI, DAVIDE | |
| 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 triennali | 2025 | Agenti autonomi per Snake tramite Reinforcement Learning tabellare: analisi e confronto di Q-Learning, SARSA e Monte Carlo | Autonomous agents for Snake via tabular Reinforcement Learning: analysis and comparison of Q-Learning, SARSA and Monte Carlo | SELLAMI, YASER | |
| Lauree magistrali | 2024 | Algorithmic Approaches for Detecting Data Shifts in Support of MLOps for Production-Scale Machine Learning | Algorithmic Approaches for Detecting Data Shifts in Support of MLOps for Production-Scale Machine Learning | LAMBERTINI, LORENZO | |
| 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 | 2025 | Analyzing the Effectiveness of Vision Mamba in Continual Learning Settings | Analyzing the Effectiveness of Vision Mamba in Continual Learning Settings | ZEINALABEDIN ZADEGAN, PEDRAM | |
| 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 | 2025 | Anomaly detection in unsupervised industrial settings, developing human-centric diagnostic and prognostic tools to improve decision-making and transparency | Anomaly detection in unsupervised industrial settings, developing human-centric diagnostic and prognostic tools to improve decision-making and transparency | DARVISHI, ALI | |
| 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 triennali | 2024 | Anomaly Detection: analisi teorica e ricerca sul metodo DBSCAN | Anomaly Detection: Theoretical Analysis and Research on the DBSCAN Method | SANTORO, GIUSEPPE | |
| Lauree magistrali | 2025 | AnyLight: A Generalizable Multi-Agent Reinforcement Learning Architecture for Heterogeneous Traffic Networks | AnyLight: A Generalizable Multi-Agent Reinforcement Learning Architecture for Heterogeneous Traffic Networks | BUSTAFFA, MARCO | |
| Lauree magistrali | 2024 | Application of Normalizing Flows in Deep Reinforcement Learning | Application of Normalizing Flows in Deep Reinforcement Learning | BOSCOLO MENEGUOLO, FRANCESCO | |
| 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 | |
| Lauree magistrali | 2025 | Applicazione di algoritmi di apprendimento attivo e semi-supervisionato per la visual anomaly detection industriale | Application of Active and Semi-Supervised Learning Algorithms for Industrial Visual Anomaly Detection | VENTURINI, FEDERICO | |
| 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 |
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