Sfoglia per Relatore
A diffusion generative model on atom distances for de novo molecular design
2023/2024 BALLARINI, MARCO
Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods
2021/2022 CANNAVÒ, FIAMMETTA
Advanced Planning & Scheduling: gestione trasporto
2022/2023 RUFFIN, FILIPPO
An Anomaly Detection-based approach to Crash Detection in dynamic sports.
2022/2023 BERTIPAGLIA, BEATRICE SOFIA
Analisi, progettazione e sviluppo di un'integrazione di Google Assistant per un progetto di Smart Home
2022/2023 VITAGLIANO, DAVIDE
Clustering of MotoGP track curves using machine learning techniques
2022/2023 CARIA, IRENE
Comparazione tra Angular e React attraverso lo sviluppo di una web app
2020/2021 SCHIAVON, VITTORIO
Construction of LLMs in specific domains
2023/2024 SELEK, MAHIR
Deep learning for text classification: an application of generalized language models for italian texts
2020/2021 Parolo, Davide
Development of a recommender System for adaptive e-learning
2020/2021 Prenassi, Paolo
Federated learning: A study of its applications in seizure prediction & colorectal polyp segmentation tasks.
2022/2023 ESPINAL HERNANDEZ, ANDRES GABRIEL
From SMILES to graphs: molecule representation in deep learning to predict chemical reactions
2022/2023 DEI NEGRI, LORENZO
GTM-based aggregation for Graph Convolutional Neural Network
2020/2021 FRAZZETTO, PAOLO
Health Analysis of Italian Companies through Text Mining Exploration of Supplementary Notes
2023/2024 MAGLIANI, JACOPO
Hierarchical Line Graph Neural Network: A Study on Alternative Representations of Graph-Structured Data
2023/2024 MOHAMMADI, SOLMAZ
Implementing a Named Entity Recognition pipeline for Public Procurement contracts in the Municipality of Padova
2023/2024 CHACON MEJIA, JOSÉ JAVIER
Monocular Depth Estimation And Collision Prediction For Quadrotors
2023/2024 PICELLO, NIKO
Piattaforma interattiva online per l'introduzione alla Data Science
2020/2021 GHIOTTO, DAVIDE
Predicting Avian Influenza Outbreaks: Machine Learning and Neural Network approaches to anomalous mortality detection.
2024/2025 MAZZUCATO, MATTEO
Predictive Analytics for Enhanced Industrial Operations: Operation Time and Task Sequence Prediction
2023/2024 AMINI, MOJTABA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2023 | A diffusion generative model on atom distances for de novo molecular design | A diffusion generative model on atom distances for de novo molecular design | BALLARINI, MARCO | |
| Lauree magistrali | 2021 | Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods | Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods | CANNAVÒ, FIAMMETTA | |
| Lauree triennali | 2022 | Advanced Planning & Scheduling: gestione trasporto | Advanced Planning & Scheduling: transport management | RUFFIN, FILIPPO | |
| Lauree magistrali | 2022 | An Anomaly Detection-based approach to Crash Detection in dynamic sports. | An Anomaly Detection-based approach to Crash Detection in dynamic sports. | BERTIPAGLIA, BEATRICE SOFIA | |
| Lauree triennali | 2022 | Analisi, progettazione e sviluppo di un'integrazione di Google Assistant per un progetto di Smart Home | Analysis, design and development of a Google Assistant integration for a Smart Home project | VITAGLIANO, DAVIDE | |
| Lauree magistrali | 2022 | Clustering of MotoGP track curves using machine learning techniques | Clustering of MotoGP track curves using machine learning techniques | CARIA, IRENE | |
| Lauree triennali | 2020 | Comparazione tra Angular e React attraverso lo sviluppo di una web app | Comparison between Angular and React through the development of a web app | SCHIAVON, VITTORIO | |
| Lauree magistrali | 2023 | Construction of LLMs in specific domains | Construction of LLMs in specific domains | SELEK, MAHIR | |
| Lauree magistrali | 2020 | Deep learning for text classification: an application of generalized language models for italian texts | - | Parolo, Davide | |
| Lauree magistrali | 2020 | Development of a recommender System for adaptive e-learning | - | Prenassi, Paolo | |
| Lauree magistrali | 2022 | Federated learning: A study of its applications in seizure prediction & colorectal polyp segmentation tasks. | Federated learning: A study of its applications in seizure prediction & colorectal polyp segmentation tasks. | ESPINAL HERNANDEZ, ANDRES GABRIEL | |
| Lauree magistrali | 2022 | From SMILES to graphs: molecule representation in deep learning to predict chemical reactions | From SMILES to graphs: molecule representation in deep learning to predict chemical reactions | DEI NEGRI, LORENZO | |
| Lauree magistrali | 2020 | GTM-based aggregation for Graph Convolutional Neural Network | GTM-based aggregation for Graph Convolutional Neural Network | FRAZZETTO, PAOLO | |
| Lauree magistrali | 2023 | Health Analysis of Italian Companies through Text Mining Exploration of Supplementary Notes | Health Analysis of Italian Companies through Text Mining Exploration of Supplementary Notes | MAGLIANI, JACOPO | |
| Lauree magistrali | 2023 | Hierarchical Line Graph Neural Network: A Study on Alternative Representations of Graph-Structured Data | Hierarchical Line Graph Neural Network: A Study on Alternative Representations of Graph-Structured Data | MOHAMMADI, SOLMAZ | |
| Lauree magistrali | 2023 | Implementing a Named Entity Recognition pipeline for Public Procurement contracts in the Municipality of Padova | Implementing a Named Entity Recognition pipeline for Public Procurement contracts in the Municipality of Padova | CHACON MEJIA, JOSÉ JAVIER | |
| Lauree magistrali | 2023 | Monocular Depth Estimation And Collision Prediction For Quadrotors | Monocular Depth Estimation And Collision Prediction For Quadrotors | PICELLO, NIKO | |
| Lauree magistrali | 2020 | Piattaforma interattiva online per l'introduzione alla Data Science | Interactive online platform for introduction to Data Science | GHIOTTO, DAVIDE | |
| Lauree magistrali | 2024 | Predicting Avian Influenza Outbreaks: Machine Learning and Neural Network approaches to anomalous mortality detection. | Predicting Avian Influenza Outbreaks: Machine Learning and Neural Network approaches to anomalous mortality detection. | MAZZUCATO, MATTEO | |
| Lauree magistrali | 2023 | Predictive Analytics for Enhanced Industrial Operations: Operation Time and Task Sequence Prediction | Predictive Analytics for Enhanced Industrial Operations: Operation Time and Task Sequence Prediction | AMINI, MOJTABA |
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