Sfoglia per Corso
Reinforcement Learning for Robotic Manipulation on Tiago Pro: A ROS2-Based Sim-to-Real Control Framework
2024/2025 POCI, ORTISA
Reinforcement Learning from Human Feedback to Fine-Tune Vision Models
2024/2025 SOMPURA, MAULIK RUPESHBHAI
Reinforcement learning in shared intelligence systems for mobile robots
2021/2022 MIHAILOVIC, MIROLJUB
Reliable Face Recognition on Edge Microcontrollers
2024/2025 NICHIFOR, ANTONELA
Representative Itemsets Mining: A Clustering Approach
2022/2023 SENO, GIACOMO
Reproducibility and Generalization of a Relation Extraction System for Gene-Disease Associations
2021/2022 MENOTTI, LAURA
Reproducing and Extending the Sample-and-Clean Framework: From Relational Data to Knowledge Graphs
2024/2025 FINCATO, SAVERIO
Resource management in distributed streaming applications
2021/2022 SCARAMUZZA, LUCA
Retrieval-Augmented Generation with Large Language Models for Genetic Counseling on Rare Diseases and Mutations
2024/2025 DA RE, LEONARDO
Retrieval-Augmented Generation: Strengthening Answer Confidence through Source Referencing
2023/2024 CECCATO, ANDREA
RGB-based monocular 6D pose estimation: selecting the best methods for real industrial scenarios
2023/2024 SCHIAVO, CARLOTTA
Rilevazione e classificazione di danni su veicoli con algoritmi di computer vision e deep learning in Oracle Cloud Infrastructure Vision
2021/2022 GIROLAMETTO, ANDREA
Robotic system with Twincat Vision: techniques for identifying and manipulating geometric objects on a conveyor belt
2023/2024 FURCINITI, ANNA
Sales forecasting in demand planning for an Italian coffee company
2021/2022 TOMMASIN, GIOVANNI
Sampling for subtrajectory clustering
2023/2024 POZZER, MATTEO
Scalable Motif Mining in Multidimensional Time Series
2023/2024 MONACO, FRANCESCO PIO
Scale Recovery for Monocular Depth Estimation: a Semantic Segmentation-based Approach
2022/2023 SARRAGGIOTTO, DAVIDE
Scoperta di sottoreti e progettazione di funzionalità per la previsione del tipo di cancro
2024/2025 MOHAMMADI, HAMID
Segmentazione debolmente supervisionata di polipi su immagini di colonscopia
2022/2023 RAMPON, RICCARDO
Segmentazione Semantica di Cavità in Immagini all'Elettroscopio Elettronico usando Mask R-CNNs
2023/2024 MACI, ANDREA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2024 | Reinforcement Learning for Robotic Manipulation on Tiago Pro: A ROS2-Based Sim-to-Real Control Framework | Reinforcement Learning for Robotic Manipulation on Tiago Pro: A ROS2-Based Sim-to-Real Control Framework | POCI, ORTISA | |
| Lauree magistrali | 2024 | Reinforcement Learning from Human Feedback to Fine-Tune Vision Models | Reinforcement Learning from Human Feedback to Fine-Tune Vision Models | SOMPURA, MAULIK RUPESHBHAI | |
| Lauree magistrali | 2021 | Reinforcement learning in shared intelligence systems for mobile robots | Reinforcement learning in shared intelligence systems for mobile robots | MIHAILOVIC, MIROLJUB | |
| Lauree magistrali | 2024 | Reliable Face Recognition on Edge Microcontrollers | Reliable Face Recognition on Edge Microcontrollers | NICHIFOR, ANTONELA | |
| Lauree magistrali | 2022 | Representative Itemsets Mining: A Clustering Approach | Representative Itemsets Mining: A Clustering Approach | SENO, GIACOMO | |
| Lauree magistrali | 2021 | Reproducibility and Generalization of a Relation Extraction System for Gene-Disease Associations | Reproducibility and Generalization of a Relation Extraction System for Gene-Disease Associations | MENOTTI, LAURA | |
| Lauree magistrali | 2024 | Reproducing and Extending the Sample-and-Clean Framework: From Relational Data to Knowledge Graphs | Reproducing and Extending the Sample-and-Clean Framework: From Relational Data to Knowledge Graphs | FINCATO, SAVERIO | |
| Lauree magistrali | 2021 | Resource management in distributed streaming applications | Resource management in distributed streaming applications | SCARAMUZZA, LUCA | |
| Lauree magistrali | 2024 | Retrieval-Augmented Generation with Large Language Models for Genetic Counseling on Rare Diseases and Mutations | Retrieval-Augmented Generation with Large Language Models for Genetic Counseling on Rare Diseases and Mutations | DA RE, LEONARDO | |
| Lauree magistrali | 2023 | Retrieval-Augmented Generation: Strengthening Answer Confidence through Source Referencing | Retrieval-Augmented Generation: Strengthening Answer Confidence through Source Referencing | CECCATO, ANDREA | |
| Lauree magistrali | 2023 | RGB-based monocular 6D pose estimation: selecting the best methods for real industrial scenarios | RGB-based monocular 6D pose estimation: selecting the best methods for real industrial scenarios | SCHIAVO, CARLOTTA | |
| Lauree magistrali | 2021 | Rilevazione e classificazione di danni su veicoli con algoritmi di computer vision e deep learning in Oracle Cloud Infrastructure Vision | Detection and classification of car damages with deep learning computer vision algorithms in Oracle Cloud Infrastructure Vision | GIROLAMETTO, ANDREA | |
| Lauree magistrali | 2023 | Robotic system with Twincat Vision: techniques for identifying and manipulating geometric objects on a conveyor belt | Robotic system with Twincat Vision: techniques for identifying and manipulating geometric objects on a conveyor belt | FURCINITI, ANNA | |
| Lauree magistrali | 2021 | Sales forecasting in demand planning for an Italian coffee company | Sales forecasting in demand planning for an Italian coffee company | TOMMASIN, GIOVANNI | |
| Lauree magistrali | 2023 | Sampling for subtrajectory clustering | Sampling for subtrajectory clustering | POZZER, MATTEO | |
| Lauree magistrali | 2023 | Scalable Motif Mining in Multidimensional Time Series | Scalable Motif Mining in Multidimensional Time Series | MONACO, FRANCESCO PIO | |
| Lauree magistrali | 2022 | Scale Recovery for Monocular Depth Estimation: a Semantic Segmentation-based Approach | Scale Recovery for Monocular Depth Estimation: a Semantic Segmentation-based Approach | SARRAGGIOTTO, DAVIDE | |
| Lauree magistrali | 2024 | Scoperta di sottoreti e progettazione di funzionalità per la previsione del tipo di cancro | Subnetwork Discovery and Feature Engineering for Cancer Type Prediction | MOHAMMADI, HAMID | |
| Lauree magistrali | 2022 | Segmentazione debolmente supervisionata di polipi su immagini di colonscopia | Weakly supervised segmentation of polyps on colonoscopy images | RAMPON, RICCARDO | |
| Lauree magistrali | 2023 | Segmentazione Semantica di Cavità in Immagini all'Elettroscopio Elettronico usando Mask R-CNNs | Semantic Segmentation of Cavities in Electron Microscopy Images using Mask R-CNNs | MACI, ANDREA |
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