Sfoglia per Relatore
Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling
2023/2024 ROSALEN, RICCARDO
Machine Learning-based Anomaly Detection for Hydroelectric Power Plants
2021/2022 FANAN, MATTIA
Machine Learning-based Approaches for Advanced Monitoring of Smart Glasses
2022/2023 CORSETTI, ROCCO
A Machine Learning-based Test Program Quality Tool for Automotive Microcontrollers
2020/2021 Khedri, Asma
Multi Agent Reinforcement Learning for smart mobility and traffic scenarios
2022/2023 CEDERLE, MATTEO
Neural Keypoint Detection for Visual Gestures on Micro-Controllers
2021/2022 MSEDDI, MAHDI
Optimize the Flow Factor in a Semiconductor Factory by use of Deep Reinforcement Learning
2022/2023 DE MONTE, RICCARDO
Predictive maintenance of production systems: A data-driven approach for remaining useful life estimation of industrial equipment
2020/2021 LORENTI, LUCIANO ROLANDO
Reinforcement Learning approaches for Artificial Pancreas Control
2021/2022 DEI ROSSI, ALVISE
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
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
Transfer learning approaches for industrial image classification
2020/2021 PAZZAIA, ALBERTO
Tuning Nitrogen-Vacancy Centers in Diamond using Reinforcement Learning
2022/2023 SHOJAEI, ARAM
Una tecnica di Domain Adaptation per l'analisi predittiva nell'industria manufatturiera di semiconduttori
2020/2021 ZANETTI, MARCO
Unsupervised Anomaly Detection: investigations on Isolation Forest
2021/2022 SAVARINO, VINCENZO
Unsupervised Learning of Discrete Sequences Representations for Clustering
2020/2021 ROTONDI, GIACOMO
'Unsupervised Machine Learning in Industry 4.0 Applications'
2020/2021 MUKAJ, BLEONA
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2023 | Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling | Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling | ROSALEN, RICCARDO | |
Lauree magistrali | 2021 | Machine Learning-based Anomaly Detection for Hydroelectric Power Plants | Machine Learning-based Anomaly Detection for Hydroelectric Power Plants | FANAN, MATTIA | |
Lauree magistrali | 2022 | Machine Learning-based Approaches for Advanced Monitoring of Smart Glasses | Machine Learning-based Approaches for Advanced Monitoring of Smart Glasses | CORSETTI, ROCCO | |
Lauree magistrali | 2020 | A Machine Learning-based Test Program Quality Tool for Automotive Microcontrollers | - | Khedri, Asma | |
Lauree magistrali | 2022 | Multi Agent Reinforcement Learning for smart mobility and traffic scenarios | Multi Agent Reinforcement Learning for smart mobility and traffic scenarios | CEDERLE, MATTEO | |
Lauree magistrali | 2021 | Neural Keypoint Detection for Visual Gestures on Micro-Controllers | Neural Keypoint Detection for Visual Gestures on Micro-Controllers | MSEDDI, MAHDI | |
Lauree magistrali | 2022 | Optimize the Flow Factor in a Semiconductor Factory by use of Deep Reinforcement Learning | Optimize the Flow Factor in a Semiconductor Factory by use of Deep Reinforcement Learning | DE MONTE, 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 | 2021 | Reinforcement Learning approaches for Artificial Pancreas Control | Reinforcement Learning approaches for Artificial Pancreas Control | DEI ROSSI, ALVISE | |
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 | 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 | 2020 | Transfer learning approaches for industrial image classification | Transfer learning approaches for industrial image classification | PAZZAIA, ALBERTO | |
Lauree magistrali | 2022 | Tuning Nitrogen-Vacancy Centers in Diamond using Reinforcement Learning | Tuning Nitrogen-Vacancy Centers in Diamond using Reinforcement Learning | SHOJAEI, ARAM | |
Lauree magistrali | 2020 | Una tecnica di Domain Adaptation per l'analisi predittiva nell'industria manufatturiera di semiconduttori | A domain adaptation approach to predictive maintenance for semiconductor manufacturing | ZANETTI, MARCO | |
Lauree magistrali | 2021 | Unsupervised Anomaly Detection: investigations on Isolation Forest | Unsupervised Anomaly Detection: investigations on Isolation Forest | SAVARINO, VINCENZO | |
Lauree magistrali | 2020 | Unsupervised Learning of Discrete Sequences Representations for Clustering | Unsupervised Learning of Discrete Sequences Representations for Clustering | ROTONDI, GIACOMO | |
Lauree magistrali | 2020 | 'Unsupervised Machine Learning in Industry 4.0 Applications' | 'Unsupervised Machine Learning in Industry 4.0 Applications' | MUKAJ, BLEONA |
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