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Mostrati risultati da 100 a 119 di 282
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2023 Exploring Multilingual Embeddings for Italian Semantic Search: A Pretrained and Fine-tuned Approach Exploring Multilingual Embeddings for Italian Semantic Search: A Pretrained and Fine-tuned Approach RINALDI, NICOLÒ
Lauree magistrali 2023 Exploring the effects of copy number variations on the tumor microenvironment in ovarian cancer at the single cell level Exploring the effects of copy number variations on the tumor microenvironment in ovarian cancer at the single cell level FERRERO, ELISA
Lauree magistrali 2023 Exploring the Influence of Graph Neural Network-Based Link Prediction on Social Contagion Dynamics Exploring the Influence of Graph Neural Network-Based Link Prediction on Social Contagion Dynamics VALLS CIFRE, ANTONI
Lauree magistrali 2023 Exponential smoothing with neural networks: a TBATS-NN hybrid model for hierarchical time series forecasting Exponential smoothing with neural networks: a TBATS-NN hybrid model for hierarchical time series forecasting BIANCUCCI, FRANCESCO
Lauree magistrali 2024 Extracting Data from Banking Documents using Computer Vision and Natural Language Processing Tools Extracting Data from Banking Documents using Computer Vision and Natural Language Processing Tools VAROTTO, DAVIDE
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 2023 FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET TEYMOURI, SAMIRA
Lauree magistrali 2023 From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories WICAKSONO, SATRIA BAGUS
Lauree magistrali 2024 From Email Mining to Unsupervised Classification: An NLP Approach From Email Mining to Unsupervised Classification: An NLP Approach ORTEGA DOMINGUEZ, ESTEBAN
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 GRAPH NEURAL NETWORKS FOR LEARNING DOMAIN DEPENDENT HEURISTICS IN AUTOMATED PLANNING; ENHACING THE GOOSE FRAMEWORK GRAPH NEURAL NETWORKS FOR LEARNING DOMAIN DEPENDENT HEURISTICS IN AUTOMATED PLANNING; ENHACING THE GOOSE FRAMEWORK HOSCHEK, MAREN MICHELLE
Lauree magistrali 2024 GraphMixer in Financial Networks: A Novel Approach to Lead/Lag Pattern Detection GraphMixer in Financial Networks: A Novel Approach to Lead/Lag Pattern Detection KRSTEV, IVAN
Mostrati risultati da 100 a 119 di 282
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