Sfoglia per Corso
Predictive maintenance of production systems: A data-driven approach for remaining useful life estimation of industrial equipment
2020/2021 LORENTI, LUCIANO ROLANDO
Predictive Modelling and Strategies for Customer Churn Reduction: Loyalty Program Case
2022/2023 BEN TAHER, YOSR
Prescriptive Process Analytics using Counterfacts
2022/2023 TIRMIZI, MOHAMMAD ISMAIL
PROCESS OPTIMIZATION AND AUTOMATION IN E-COMMERCE BUSINESS OPERATION
2021/2022 ANAND, GAURAV
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 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
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
Simulating the emergence of symbolic numerical representations: role of perceptual constraints in a deep reinforcement learning agent
2020/2021 PETRUZZELLIS, FLAVIO
Simulation of Healthcare Processes: Challenges, Solutions, and Benefits
2021/2022 SOMMARUGA, MARCO FRANCESCO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2020 | Predictive maintenance of production systems: A data-driven approach for remaining useful life estimation of industrial equipment | Predictive maintenance of production systems: A data-driven approach for remaining useful life estimation of industrial equipment | LORENTI, LUCIANO ROLANDO | |
| Lauree magistrali | 2022 | Predictive Modelling and Strategies for Customer Churn Reduction: Loyalty Program Case | Predictive Modelling and Strategies for Customer Churn Reduction: Loyalty Program Case | BEN TAHER, YOSR | |
| Lauree magistrali | 2022 | Prescriptive Process Analytics using Counterfacts | Prescriptive Process Analytics using Counterfacts | TIRMIZI, MOHAMMAD ISMAIL | |
| Lauree magistrali | 2021 | PROCESS OPTIMIZATION AND AUTOMATION IN E-COMMERCE BUSINESS OPERATION | PROCESS OPTIMIZATION AND AUTOMATION IN E-COMMERCE BUSINESS OPERATION | ANAND, GAURAV | |
| 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 | 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 | 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 | 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 | |
| Lauree magistrali | 2021 | Simulation of Healthcare Processes: Challenges, Solutions, and Benefits | Simulation of Healthcare Processes: Challenges, Solutions, and Benefits | SOMMARUGA, MARCO FRANCESCO |
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