Sfoglia per Relatore
Pipeline iterativa a Diffusione Residua con Riscontro Esperto per il Rilevamento non supervisionato di Anomalie in serie temporali del Processo di Produzione tramite Fusione a Fascio di Elettroni
2024/2025 ABBATE, RICCARDO
Predictive maintenance of production systems: A data-driven approach for remaining useful life estimation of industrial equipment
2020/2021 LORENTI, LUCIANO ROLANDO
Progettazione e implementazione di un’infrastruttura scalabile per l’analisi di dati temporali e il monitoraggio in tempo reale delle flotte di trasporto pubblico
2024/2025 ROSSO, THOMAS
Raggiungere una Monotonicità Affidabile con Vincoli Soft: Analisi delle Tecniche di Regolarizzazione e un Nuovo Approccio basato sul Riutilizzo dei Punti di Violazione
2024/2025 VISENTIN, GIACOMO
Reinforcement Learning algorithm for wood log cutting pattern optimization
2023/2024 VERRI, MARCO
Reinforcement Learning approaches for Artificial Pancreas Control
2021/2022 DEI ROSSI, ALVISE
REINFORCEMENT LEARNING APPROACHES FOR BEAM DYNAMICS OPTIMIZATION IN PARTICLE ACCELERATORS
2024/2025 QIU, YI JIAN
Reinforcement Learning Approaches for Particle Accelerators: The PIAVE Case Study at the INFN National Laboratories of Legnaro
2024/2025 ZEBELE, DANIELE
Reinforcement Learning for Autonomous Driving in the Duckietown Environment
2024/2025 FORCELLA, FILIPPO
Reinforcement Learning for Optimal Parameter Tuning in Industrial Servopositioning Systems
2023/2024 OLIVIERO, ALESSANDRA
Reliable Face Recognition on Edge Microcontrollers
2024/2025 NICHIFOR, ANTONELA
Ribilanciamento Dinamico Equo nei sistemi di Bike Sharing usando il Deep Reinforcement Learning
2024/2025 PETTENA, ALBERTO
Riconoscimento Anomalie tramite Approcci non supervisionati per macchine utensili industriali
2020/2021 DE ROSSI, GAIA
Rilevamento anomalie per macchine automatiche dell'industria dell'intrattenimento
2021/2022 PERONI, MARCO
Semi Supervised Learning Approaches for Semiconductors Defect Classification
2021/2022 RABAI, NADA
Sfruttare Modelli Open di Visione-Linguaggio come Teachers nel Reinforcement Learning
2024/2025 GENILOTTI, FABRIZIO
Sparse Depth Meets Monocular Depth Estimation: A Guided Diffusion Framework for Zero-Shot Depth Completion
2023/2024 VIOLA, MASSIMILIANO
Tecniche di Deep Learning per l’Anomaly Detection sulle Risposte a Questionari Online
2020/2021 ORIOLO, ANDREA
Topic modelling approaches for digital marketing data
2020/2021 SARTI, GIOIA
Towards Explainable Anomaly Detection: Optimal Counterfactual Explanations in Isolation Forests
2024/2025 SATTAR, SHABNAM
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2024 | Pipeline iterativa a Diffusione Residua con Riscontro Esperto per il Rilevamento non supervisionato di Anomalie in serie temporali del Processo di Produzione tramite Fusione a Fascio di Elettroni | Iterative Expert-in-the-Loop Residual Diffusion Pipeline for Unsupervised Anomaly Detection in Electron Beam Melting Manufacturing Time Series | ABBATE, RICCARDO | |
| Lauree magistrali | 2020 | Predictive maintenance of production systems: A data-driven approach for remaining useful life estimation of industrial equipment | Predictive maintenance of production systems: A data-driven approach for remaining useful life estimation of industrial equipment | LORENTI, LUCIANO ROLANDO | |
| Lauree magistrali | 2024 | Progettazione e implementazione di un’infrastruttura scalabile per l’analisi di dati temporali e il monitoraggio in tempo reale delle flotte di trasporto pubblico | Design and Implementation of a Scalable Infrastructure for Time-Series Data Analysis and Real-Time Monitoring of Public Transport Fleets | ROSSO, THOMAS | |
| Lauree magistrali | 2024 | Raggiungere una Monotonicità Affidabile con Vincoli Soft: Analisi delle Tecniche di Regolarizzazione e un Nuovo Approccio basato sul Riutilizzo dei Punti di Violazione | Achieving Reliable Monotonicity with Soft Constraints: An Analysis of Regularization Techniques and a Novel Violation Replay Approach | VISENTIN, GIACOMO | |
| Lauree magistrali | 2023 | Reinforcement Learning algorithm for wood log cutting pattern optimization | Reinforcement Learning algorithm for wood log cutting pattern optimization | VERRI, MARCO | |
| Lauree magistrali | 2021 | Reinforcement Learning approaches for Artificial Pancreas Control | Reinforcement Learning approaches for Artificial Pancreas Control | DEI ROSSI, ALVISE | |
| Lauree magistrali | 2024 | REINFORCEMENT LEARNING APPROACHES FOR BEAM DYNAMICS OPTIMIZATION IN PARTICLE ACCELERATORS | REINFORCEMENT LEARNING APPROACHES FOR BEAM DYNAMICS OPTIMIZATION IN PARTICLE ACCELERATORS | QIU, YI JIAN | |
| Lauree magistrali | 2024 | Reinforcement Learning Approaches for Particle Accelerators: The PIAVE Case Study at the INFN National Laboratories of Legnaro | Reinforcement Learning Approaches for Particle Accelerators: The PIAVE Case Study at the INFN National Laboratories of Legnaro | ZEBELE, DANIELE | |
| Lauree magistrali | 2024 | Reinforcement Learning for Autonomous Driving in the Duckietown Environment | Reinforcement Learning for Autonomous Driving in the Duckietown Environment | FORCELLA, FILIPPO | |
| Lauree magistrali | 2023 | Reinforcement Learning for Optimal Parameter Tuning in Industrial Servopositioning Systems | Reinforcement Learning for Optimal Parameter Tuning in Industrial Servopositioning Systems | OLIVIERO, ALESSANDRA | |
| Lauree magistrali | 2024 | Reliable Face Recognition on Edge Microcontrollers | Reliable Face Recognition on Edge Microcontrollers | NICHIFOR, ANTONELA | |
| Lauree magistrali | 2024 | Ribilanciamento Dinamico Equo nei sistemi di Bike Sharing usando il Deep Reinforcement Learning | Fair Dynamic Rebalancing in Bike Sharing Systems with Deep Reinforcement Learning | PETTENA, ALBERTO | |
| Lauree magistrali | 2020 | Riconoscimento Anomalie tramite Approcci non supervisionati per macchine utensili industriali | Unsupervised Anomaly Detection for Industrial Machine Tools | DE ROSSI, GAIA | |
| Lauree magistrali | 2021 | Rilevamento anomalie per macchine automatiche dell'industria dell'intrattenimento | Anomaly detection for entertainment industry automatic machines | PERONI, MARCO | |
| Lauree magistrali | 2021 | Semi Supervised Learning Approaches for Semiconductors Defect Classification | Semi Supervised Learning Approaches for Semiconductors Defect Classification | RABAI, NADA | |
| Lauree magistrali | 2024 | Sfruttare Modelli Open di Visione-Linguaggio come Teachers nel Reinforcement Learning | Leveraging Open Vision-Language Models as Teachers in Reinforcement Learning | GENILOTTI, FABRIZIO | |
| Lauree magistrali | 2023 | Sparse Depth Meets Monocular Depth Estimation: A Guided Diffusion Framework for Zero-Shot Depth Completion | Sparse Depth Meets Monocular Depth Estimation: A Guided Diffusion Framework for Zero-Shot Depth Completion | VIOLA, MASSIMILIANO | |
| Lauree magistrali | 2020 | Tecniche di Deep Learning per l’Anomaly Detection sulle Risposte a Questionari Online | Deep Learning Techniques for Anomaly Detection on Answers to Online Questionnaires | ORIOLO, ANDREA | |
| Lauree magistrali | 2020 | Topic modelling approaches for digital marketing data | Topic modelling approaches for digital marketing data | SARTI, GIOIA | |
| Lauree magistrali | 2024 | Towards Explainable Anomaly Detection: Optimal Counterfactual Explanations in Isolation Forests | Towards Explainable Anomaly Detection: Optimal Counterfactual Explanations in Isolation Forests | SATTAR, SHABNAM |
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