Sfoglia per Corso
Fairness in Rankings via Randomized Algorithms
2023/2024 KLIACHKIN, ANDRII
Federated Learning for an Autoencoder Based Recommendation System
2020/2021 EL KHALOUFI, YASMINE
Federated Learning for an Autoencoder Based Recommender System for Look-Alike Modeling
2021/2022 VEDANA, GIOVANNI
Federated learning: A study of its applications in seizure prediction & colorectal polyp segmentation tasks.
2022/2023 ESPINAL HERNANDEZ, ANDRES GABRIEL
Functional Connectome Fingerprinting with Neural Networks for Structured Data
2022/2023 DONGHI, GIOVANNI
Gated Linear Networks for Continual Learning in a Class-Incremental with Repetition Scenario
2022/2023 MEDICI, FEDERICO
Generalized Taxonomic Text Classification
2020/2021 KRZHALOVSKI, DANAIL
Generating Synthetic Power Grids using Exponential Random Graph Models
2021/2022 GIACOMARRA, FRANCESCO
Generative adversarial network for predictive maintenance of a packaging machine
2021/2022 RASETTA, ADRIANO
Global Discovery of Pathogens: A Network Analysis and Modeling Approach
2020/2021 WAINAINA, LYNDA NDUTA
Health Analysis of Italian Companies through Text Mining Exploration of Supplementary Notes
2023/2024 MAGLIANI, JACOPO
Hidden Markov Models for detection of intrinsically disordered regions of proteins
2023/2024 SKRYLNIK, ALINA
Hierarchical Data Forecasting for the Business Sector
2023/2024 SVEÇLA, ENDRIT
I Spy With My Little Eyes: A Convolutional Deep Learning Approach to Web Eye Tracking
2022/2023 PADEZHKI, IVAN DRAGOMIROV
Improving Interoperability and Digitalization of the European Union Healthcare System: A Data Science Perspective on the ATHINA Platform and Threat Response.
2022/2023 TELLEZ JUAREZ, BRENDA ELOISA
Improving on Stochastic Bayesian Adaptive Direct Search
2021/2022 SINGH, GURJEET
INCREMENTAL CLUSTERING OF CONTINUOUS PERCEPTIONS
2020/2021 FONTANELLA, GIULIA
Industrial applications of Data Science
2022/2023 NAGABANDI, MANOJ KUMAR
Inference and Community Detection in Hypergraphs: Incorporating Node Attributes
2023/2024 BADALYAN, ANNA
Intelligent System Design for Advanced Anomaly Detection in Structured Datasets
2022/2023 ZANATTA, MICHELE
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2023 | Fairness in Rankings via Randomized Algorithms | Fairness in Rankings via Randomized Algorithms | KLIACHKIN, ANDRII | |
| Lauree magistrali | 2020 | Federated Learning for an Autoencoder Based Recommendation System | Federated Learning for an Autoencoder Based Recommendation System | EL KHALOUFI, YASMINE | |
| Lauree magistrali | 2021 | Federated Learning for an Autoencoder Based Recommender System for Look-Alike Modeling | Federated Learning for an Autoencoder Based Recommender System for Look-Alike Modeling | VEDANA, GIOVANNI | |
| 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 | Functional Connectome Fingerprinting with Neural Networks for Structured Data | Functional Connectome Fingerprinting with Neural Networks for Structured Data | DONGHI, GIOVANNI | |
| Lauree magistrali | 2022 | Gated Linear Networks for Continual Learning in a Class-Incremental with Repetition Scenario | Gated Linear Networks for Continual Learning in a Class-Incremental with Repetition Scenario | MEDICI, FEDERICO | |
| Lauree magistrali | 2020 | Generalized Taxonomic Text Classification | Generalized Taxonomic Text Classification | KRZHALOVSKI, DANAIL | |
| Lauree magistrali | 2021 | Generating Synthetic Power Grids using Exponential Random Graph Models | Generating Synthetic Power Grids using Exponential Random Graph Models | GIACOMARRA, FRANCESCO | |
| Lauree magistrali | 2021 | Generative adversarial network for predictive maintenance of a packaging machine | Generative adversarial network for predictive maintenance of a packaging machine | RASETTA, ADRIANO | |
| Lauree magistrali | 2020 | Global Discovery of Pathogens: A Network Analysis and Modeling Approach | Global Discovery of Pathogens: A Network Analysis and Modeling Approach | WAINAINA, LYNDA NDUTA | |
| 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 | Hidden Markov Models for detection of intrinsically disordered regions of proteins | Hidden Markov Models for detection of intrinsically disordered regions of proteins | SKRYLNIK, ALINA | |
| Lauree magistrali | 2023 | Hierarchical Data Forecasting for the Business Sector | Hierarchical Data Forecasting for the Business Sector | SVEÇLA, ENDRIT | |
| Lauree magistrali | 2022 | I Spy With My Little Eyes: A Convolutional Deep Learning Approach to Web Eye Tracking | I Spy With My Little Eyes: A Convolutional Deep Learning Approach to Web Eye Tracking | PADEZHKI, IVAN DRAGOMIROV | |
| Lauree magistrali | 2022 | Improving Interoperability and Digitalization of the European Union Healthcare System: A Data Science Perspective on the ATHINA Platform and Threat Response. | Improving Interoperability and Digitalization of the European Union Healthcare System: A Data Science Perspective on the ATHINA Platform and Threat Response. | TELLEZ JUAREZ, BRENDA ELOISA | |
| Lauree magistrali | 2021 | Improving on Stochastic Bayesian Adaptive Direct Search | Improving on Stochastic Bayesian Adaptive Direct Search | SINGH, GURJEET | |
| Lauree magistrali | 2020 | INCREMENTAL CLUSTERING OF CONTINUOUS PERCEPTIONS | INCREMENTAL CLUSTERING OF CONTINUOUS PERCEPTIONS | FONTANELLA, GIULIA | |
| Lauree magistrali | 2022 | Industrial applications of Data Science | Industrial applications of Data Science | NAGABANDI, MANOJ KUMAR | |
| Lauree magistrali | 2023 | Inference and Community Detection in Hypergraphs: Incorporating Node Attributes | Inference and Community Detection in Hypergraphs: Incorporating Node Attributes | BADALYAN, ANNA | |
| Lauree magistrali | 2022 | Intelligent System Design for Advanced Anomaly Detection in Structured Datasets | Intelligent System Design for Advanced Anomaly Detection in Structured Datasets | ZANATTA, MICHELE |
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