Sfoglia per Corso
Process Predictive Analytics: A Comparison of Approaches
2023/2024 VOLPATO, PIETRO
PyDiM: a new Python library for Diffusion Model Analysis
2022/2023 DE DOMINICIS, CARLO
Quantum Integer Programming for the Capacitated Vehicle Routing Problem
2022/2023 PALMIERI, ANTHONY
Quantum Integer Programming: an Annealing approach to the Job Shop Scheduling problem
2022/2023 DI TRANI, ANDREA
Real-time Semantic Segmentation on Resource-Constrained Robotic Applications
2023/2024 DASARAJU, ABHISHEK VARMA
Reconstructing truthful responses in psychological tests using NLP state-of-the-art models Relatore: Professore Giuseppe Sartori Corelatore : Professore Mauro Conti
2022/2023 RUSSO, ROBERTO
Reinforcement Learning algorithms for IoT communications over uncoordinated access channels
2023/2024 CAVALAGLI, CHIARA
Reinforcement Learning approaches for Artificial Pancreas Control
2021/2022 DEI ROSSI, ALVISE
Reproducibility in Natural Language Processing: A Case Study of Sentiment Classification
2021/2022 MINZONI, RICCARDO
Respiration tracking through mmWave MIMO Radars
2021/2022 ZANOTTI, FEDERICO
RideMovi Data Analysis: Users Profiling
2023/2024 SHAUKETBEK, YELNUR
RideMovi data: Analysis of bike flows
2023/2024 KOKOT, MAKSIM
Sales prediction using Transformer-based models
2021/2022 ROSSETTO, ALBERTO
SAR Image Colorization Using Generative Adversarial Networks
2020/2021 CRACCO, GIANMARCO
Screening of Materials for Hydrogen adsorption using Machine Learning
2022/2023 KHANSHAGHAGHI, BAHAR
Self-Supervised Learning :Video Clip Order Prediction with diffusion models
2022/2023 REPETTO, SARA
Self-supervised learning for action segmentation using a Transformer architecture.
2022/2023 MINCATO, EMANUELE
Semi-supervised Deep Learning methods for Video Anomaly Detection applied to sticking identification during steelmaking continuous casting process
2021/2022 VINCI, FRANCESCO
Sequential and Quantitative Analysis of the Impact of Financial Signals on Company Performance
2023/2024 ROBERT, PHILIPPE
Simulating the emergence of symbolic numerical representations: role of perceptual constraints in a deep reinforcement learning agent
2020/2021 PETRUZZELLIS, FLAVIO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2023 | Process Predictive Analytics: A Comparison of Approaches | Object-centric Process Predictive Analytics: A Comparison of Approaches | VOLPATO, PIETRO | |
| Lauree magistrali | 2022 | PyDiM: a new Python library for Diffusion Model Analysis | PyDiM: a new Python library for Diffusion Model Analysis | DE DOMINICIS, CARLO | |
| Lauree magistrali | 2022 | Quantum Integer Programming for the Capacitated Vehicle Routing Problem | Quantum Integer Programming for the Capacitated Vehicle Routing Problem | PALMIERI, ANTHONY | |
| Lauree magistrali | 2022 | Quantum Integer Programming: an Annealing approach to the Job Shop Scheduling problem | Quantum Integer Programming: an Annealing approach to the Job Shop Scheduling problem | DI TRANI, ANDREA | |
| Lauree magistrali | 2023 | Real-time Semantic Segmentation on Resource-Constrained Robotic Applications | Real-time Semantic Segmentation on Resource-Constrained Robotic Applications | DASARAJU, ABHISHEK VARMA | |
| Lauree magistrali | 2022 | Reconstructing truthful responses in psychological tests using NLP state-of-the-art models Relatore: Professore Giuseppe Sartori Corelatore : Professore Mauro Conti | Reconstructing truthful responses in psychological tests using NLP state-of-the-art models Relatore: Professore Giuseppe Sartori Corelatore : Professore Mauro Conti | RUSSO, ROBERTO | |
| Lauree magistrali | 2023 | Reinforcement Learning algorithms for IoT communications over uncoordinated access channels | Reinforcement Learning algorithms for IoT communications over uncoordinated access channels | CAVALAGLI, CHIARA | |
| Lauree magistrali | 2021 | Reinforcement Learning approaches for Artificial Pancreas Control | Reinforcement Learning approaches for Artificial Pancreas Control | DEI ROSSI, ALVISE | |
| Lauree magistrali | 2021 | Reproducibility in Natural Language Processing: A Case Study of Sentiment Classification | Reproducibility in Natural Language Processing: A Case Study of Sentiment Classification | MINZONI, RICCARDO | |
| Lauree magistrali | 2021 | Respiration tracking through mmWave MIMO Radars | Respiration tracking through mmWave MIMO Radars | ZANOTTI, FEDERICO | |
| Lauree magistrali | 2023 | RideMovi Data Analysis: Users Profiling | RideMovi Data Analysis: Users Profiling | SHAUKETBEK, YELNUR | |
| Lauree magistrali | 2023 | RideMovi data: Analysis of bike flows | RideMovi data: Analysis of bike flows | KOKOT, MAKSIM | |
| Lauree magistrali | 2021 | Sales prediction using Transformer-based models | Sales prediction using Transformer-based models | ROSSETTO, ALBERTO | |
| Lauree magistrali | 2020 | SAR Image Colorization Using Generative Adversarial Networks | SAR Image Colorization Using Generative Adversarial Networks | CRACCO, GIANMARCO | |
| Lauree magistrali | 2022 | Screening of Materials for Hydrogen adsorption using Machine Learning | Screening of Materials for Hydrogen adsorption using Machine Learning | KHANSHAGHAGHI, BAHAR | |
| Lauree magistrali | 2022 | Self-Supervised Learning :Video Clip Order Prediction with diffusion models | Self-Supervised Learning :Video Clip Order Prediction with diffusion models | REPETTO, SARA | |
| Lauree magistrali | 2022 | Self-supervised learning for action segmentation using a Transformer architecture. | Self-supervised learning for action segmentation using a Transformer architecture. | MINCATO, EMANUELE | |
| Lauree magistrali | 2021 | Semi-supervised Deep Learning methods for Video Anomaly Detection applied to sticking identification during steelmaking continuous casting process | Semi-supervised Deep Learning methods for Video Anomaly Detection applied to sticking identification during steelmaking continuous casting process | VINCI, FRANCESCO | |
| Lauree magistrali | 2023 | Sequential and Quantitative Analysis of the Impact of Financial Signals on Company Performance | Sequential and Quantitative Analysis of the Impact of Financial Signals on Company Performance | ROBERT, PHILIPPE | |
| Lauree magistrali | 2020 | Simulating the emergence of symbolic numerical representations: role of perceptual constraints in a deep reinforcement learning agent | Simulating the emergence of symbolic numerical representations: role of perceptual constraints in a deep reinforcement learning agent | PETRUZZELLIS, FLAVIO |
Legenda icone
- file ad accesso aperto
- file ad accesso riservato
- file sotto embargo
- nessun file disponibile