Sfoglia per Corso
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
Re-engineering Legacy Data Platforms with Cloud-Native Technologies
2023/2024 LENARTAVICIUS, VAIDAS
Real-time multi-camera 3D human pose estimation on edge devices
2023/2024 SAVOIA, EMANUELE FRANCESCO
Real-Time Object Detection on Edge Device Using Zero-Shot Dataset Generation
2024/2025 SPROCATTI, MICHELE
Real-Time Object Tracking and Pose Prediction for Robotic Manipulation using ROS
2023/2024 ZADRO, MICHELE
Real-Time Obstacle Avoidance on Autonomous Lawn Mowers using Deep Learning
2023/2024 BATTISTON, ALBERTO
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 Energy Sharing in a Smart Microgrid under Partial Information
2022/2023 ROANA, DAVIDE
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
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| 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 | Re-engineering Legacy Data Platforms with Cloud-Native Technologies | Re-engineering Legacy Data Platforms with Cloud-Native Technologies | LENARTAVICIUS, VAIDAS | |
| Lauree magistrali | 2023 | Real-time multi-camera 3D human pose estimation on edge devices | Real-time multi-camera 3D human pose estimation on edge devices | SAVOIA, EMANUELE FRANCESCO | |
| Lauree magistrali | 2024 | Real-Time Object Detection on Edge Device Using Zero-Shot Dataset Generation | Real-Time Object Detection on Edge Device Using Zero-Shot Dataset Generation | SPROCATTI, MICHELE | |
| Lauree magistrali | 2023 | Real-Time Object Tracking and Pose Prediction for Robotic Manipulation using ROS | Real-Time Object Tracking and Pose Prediction for Robotic Manipulation using ROS | ZADRO, MICHELE | |
| Lauree magistrali | 2023 | Real-Time Obstacle Avoidance on Autonomous Lawn Mowers using Deep Learning | Real-Time Obstacle Avoidance on Autonomous Lawn Mowers using Deep Learning | BATTISTON, ALBERTO | |
| 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 | 2022 | Reinforcement Learning for Energy Sharing in a Smart Microgrid under Partial Information | Reinforcement Learning for Energy Sharing in a Smart Microgrid under Partial Information | ROANA, DAVIDE | |
| 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 |
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