Sfoglia per Relatore
Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System
2022/2023 DAVUT, EMRE
Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning
2022/2023 SOLDÀ, PIETRO
Chatbot Multimodale Basato su RAG per Servizi di Supporto Avanzati
2024/2025 RIGONI, MARIA CHIARA
Collaborative filtering for recommender systems with implicit feedback
2021/2022 CONTE, MASSIMILIANO
Comparative Analysis of Constraint-Handling Optimization Algorithms for Large-Scale Water Distribution Systems
2024/2025 ŞENOL, BERKER
Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework
2022/2023 BUGARIN, NIKOLA
Comprehensive Analysis of LLMs in Practice: PDF Parsing, Advanced Prompt Engineering, and Retrieval-Augmented Generation
2023/2024 SARTOR, NICOLÒ
Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images
2022/2023 CECCON, MARINA
Continual Learning for User Identification and Game Classification Based on Virtual Reality Headset Data: Applications on the Questset Dataset
2024/2025 PIZZOLOTTO, ANDREA
Continual Multi-agent Reinforcement Learning applied in cooperative games
2023/2024 CASADEI, OLIVIA
Continuous Modeling of Origin–Destination Flows: A Framework for Long-Term Planning at Amazon
2024/2025 GUPTA, ARYAN
CONTROLLABILITA' DI UNA SUPPLYCHAIN E POLITICA MONETARIA CON CONTROLLORI PID
2020/2021 MILANI, RICCARDO
Data Efficient AI for Reduced Order Models: Meta-Learning the Optimal Training Dataset
2024/2025 GIAROLI, ALEX
Deep Learning Approaches for Automated Grain Size Estimation in Metallographic Analysis
2024/2025 BARIZZA, MARCO
Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study
2023/2024 BONI, FILIPPO
Deep Learning models for ECG segmentation
2024/2025 GRANCHELLI, CRISTIAN
A deep learning-based approach for defect classification with context information in semiconductor manufacturing
2020/2021 Arena, Simone
Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing
2020/2021 CUNI, PAULI
Deep Reinforcement Learning Approaches for the Game of Briscola
2022/2023 SINGH, AMANPREET
Deep Reinforcement Learning for Autonomous Vehicle Control at Intersection
2024/2025 BOSCARINI, GABRIELE
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2022 | Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System | Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System | DAVUT, EMRE | |
| Lauree magistrali | 2022 | Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning | Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning | SOLDÀ, PIETRO | |
| Lauree magistrali | 2024 | Chatbot Multimodale Basato su RAG per Servizi di Supporto Avanzati | Multimodal RAG-Based Chatbot for Enhanced Support Services | RIGONI, MARIA CHIARA | |
| Lauree magistrali | 2021 | Collaborative filtering for recommender systems with implicit feedback | Collaborative filtering for recommender systems with implicit feedback | CONTE, MASSIMILIANO | |
| Lauree magistrali | 2024 | Comparative Analysis of Constraint-Handling Optimization Algorithms for Large-Scale Water Distribution Systems | Comparative Analysis of Constraint-Handling Optimization Algorithms for Large-Scale Water Distribution Systems | ŞENOL, BERKER | |
| Lauree magistrali | 2022 | Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework | Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework | BUGARIN, NIKOLA | |
| Lauree magistrali | 2023 | Comprehensive Analysis of LLMs in Practice: PDF Parsing, Advanced Prompt Engineering, and Retrieval-Augmented Generation | Comprehensive Analysis of LLMs in Practice: PDF Parsing, Advanced Prompt Engineering, and Retrieval-Augmented Generation | SARTOR, NICOLÒ | |
| Lauree magistrali | 2022 | Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images | Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images | CECCON, MARINA | |
| Lauree magistrali | 2024 | Continual Learning for User Identification and Game Classification Based on Virtual Reality Headset Data: Applications on the Questset Dataset | Continual Learning for User Identification and Game Classification Based on Virtual Reality Headset Data: Applications on the Questset Dataset | PIZZOLOTTO, ANDREA | |
| Lauree magistrali | 2023 | Continual Multi-agent Reinforcement Learning applied in cooperative games | Continual Multi-agent Reinforcement Learning applied in cooperative games | CASADEI, OLIVIA | |
| Lauree magistrali | 2024 | Continuous Modeling of Origin–Destination Flows: A Framework for Long-Term Planning at Amazon | Continuous Modeling of Origin–Destination Flows: A Framework for Long-Term Planning at Amazon | GUPTA, ARYAN | |
| Lauree triennali | 2020 | CONTROLLABILITA' DI UNA SUPPLYCHAIN E POLITICA MONETARIA CON CONTROLLORI PID | Controllability of a SupplyChain, Monetary Policy and PID control | MILANI, RICCARDO | |
| Lauree magistrali | 2024 | Data Efficient AI for Reduced Order Models: Meta-Learning the Optimal Training Dataset | Data Efficient AI for Reduced Order Models: Meta-Learning the Optimal Training Dataset | GIAROLI, ALEX | |
| Lauree magistrali | 2024 | Deep Learning Approaches for Automated Grain Size Estimation in Metallographic Analysis | Deep Learning Approaches for Automated Grain Size Estimation in Metallographic Analysis | BARIZZA, MARCO | |
| Lauree magistrali | 2023 | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | BONI, FILIPPO | |
| Lauree magistrali | 2024 | Deep Learning models for ECG segmentation | Deep Learning models for ECG segmentation | GRANCHELLI, CRISTIAN | |
| Lauree magistrali | 2020 | A deep learning-based approach for defect classification with context information in semiconductor manufacturing | - | Arena, Simone | |
| Lauree magistrali | 2020 | Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing | Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing | CUNI, PAULI | |
| Lauree magistrali | 2022 | Deep Reinforcement Learning Approaches for the Game of Briscola | Deep Reinforcement Learning Approaches for the Game of Briscola | SINGH, AMANPREET | |
| Lauree magistrali | 2024 | Deep Reinforcement Learning for Autonomous Vehicle Control at Intersection | Deep Reinforcement Learning for Autonomous Vehicle Control at Intersection | BOSCARINI, GABRIELE |
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