Sfoglia per Relatore
Revenue Recognition Date Forecasting in Enterprise Supply Chains: A Machine Learning Approach
2025/2026 ABDELHAMEED, OMAR AMGAD MOHAMED
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
Stability in Streaming Deep Reinforcement Learning: A Study of Scaling, Normalization, and Visual Representation.
2025/2026 HORN, MAX HANS JURGEN HENRY
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 efficient exploration in Reinforcement Learning via non-reversible stochastic processes
2024/2025 AGUADO CARRILLO DE ALBORNOZ, YAGO RUBEN
Towards Explainable Anomaly Detection: Optimal Counterfactual Explanations in Isolation Forests
2024/2025 SATTAR, SHABNAM
Transfer learning approaches for industrial image classification
2020/2021 PAZZAIA, ALBERTO
Transforming clickstream session data into general-purpose user embeddings for privacy-preserving online advertising
2023/2024 DICHOSKI, DEJAN
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 Approaches in Computer Vision
2025/2026 BONATO, GIOELE
Unsupervised anomaly detection for HVAC units
2024/2025 LUISETTO, FEDERICO
Unsupervised Anomaly Detection in Industrial Time Series through Matrix Profile Analysis
2024/2025 BRESSAN, ALBERTO
Unsupervised Anomaly Detection in Systems with an Increasing Number of Sensors
2024/2025 NUSHI, ENXHI
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2025 | Revenue Recognition Date Forecasting in Enterprise Supply Chains: A Machine Learning Approach | Revenue Recognition Date Forecasting in Enterprise Supply Chains: A Machine Learning Approach | ABDELHAMEED, OMAR AMGAD MOHAMED | |
| 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 | 2025 | Stability in Streaming Deep Reinforcement Learning: A Study of Scaling, Normalization, and Visual Representation. | Stability in Streaming Deep Reinforcement Learning: A Study of Scaling, Normalization, and Visual Representation. | HORN, MAX HANS JURGEN HENRY | |
| 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 efficient exploration in Reinforcement Learning via non-reversible stochastic processes | Towards efficient exploration in Reinforcement Learning via non-reversible stochastic processes | AGUADO CARRILLO DE ALBORNOZ, YAGO RUBEN | |
| 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 | |
| Lauree magistrali | 2020 | Transfer learning approaches for industrial image classification | Transfer learning approaches for industrial image classification | PAZZAIA, ALBERTO | |
| Lauree magistrali | 2023 | Transforming clickstream session data into general-purpose user embeddings for privacy-preserving online advertising | Transforming clickstream session data into general-purpose user embeddings for privacy-preserving online advertising | DICHOSKI, DEJAN | |
| 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 triennali | 2025 | Unsupervised Anomaly Detection Approaches in Computer Vision | Unsupervised Anomaly Detection Approaches in Computer Vision | BONATO, GIOELE | |
| Lauree magistrali | 2024 | Unsupervised anomaly detection for HVAC units | Unsupervised anomaly detection for HVAC units | LUISETTO, FEDERICO | |
| Lauree magistrali | 2024 | Unsupervised Anomaly Detection in Industrial Time Series through Matrix Profile Analysis | Unsupervised Anomaly Detection in Industrial Time Series through Matrix Profile Analysis | BRESSAN, ALBERTO | |
| Lauree magistrali | 2024 | Unsupervised Anomaly Detection in Systems with an Increasing Number of Sensors | Unsupervised Anomaly Detection in Systems with an Increasing Number of Sensors | NUSHI, ENXHI |
Legenda icone
- file ad accesso aperto
- file ad accesso riservato
- file sotto embargo
- nessun file disponibile