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Mostrati risultati da 77 a 96 di 251
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2023 Esplorando il Modality Gap nell'Apprendimento Multimodale per la Rappresentazione Numerica Exploring the Modality Gap in Multimodal Learning for Numerical Representation VARAGNOLO, MATTIA
Lauree magistrali 2021 Evaluation of deep learning transformers models for brain stroke lesions automatic segmentation Evaluation of deep learning transformers models for brain stroke lesions automatic segmentation ARANGUREN, ANDRES
Lauree magistrali 2021 Evaluation of RNA velocity as a signal for the reconstruction of gene regulatory networks. Evaluation of RNA velocity as a signal for the reconstruction of gene regulatory networks. FARNEA, GRETA
Lauree magistrali 2021 Exact and heuristic algorithms for multi-robot system routing, oriented to underwater monitoring. ​ Exact and heuristic algorithms for multi-robot system routing, oriented to underwater monitoring. ​ MIOLATO, MATTIA
Lauree magistrali 2023 Explainability in recommender systems: a comparative analysis of two transformer-based models Explainability in recommender systems: a comparative analysis of two transformer-based models ORELLANA I RÍOS, JOAN
Lauree magistrali 2020 Explainability of machine learning models: A systematic review and a case study on BERT Explainability of machine learning models: A systematic review and a case study on BERT ARCUDI, ALESSIO
Lauree magistrali 2022 Explaining Rocket time series classifier model Explaining Rocket time series classifier model RASTEGAR, ARVIN
Lauree magistrali 2022 Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data DE RENZIS, SIMONE
Lauree magistrali 2021 EXPLORING CONVOLUTION FOR THE DETECTION OF MENTAL ATTENTION STATES EXPLORING CONVOLUTION FOR THE DETECTION OF MENTAL ATTENTION STATES ANDOVSKA, SANDRA
Lauree magistrali 2023 Exploring Deep Learning Domain Adaptation performance: from Covariate shift to Wasserstein and beyond Exploring Deep Learning Domain Adaptation performance: from Covariate shift to Wasserstein and beyond FURLAN, MARCO
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, GIORGIO
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 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
Mostrati risultati da 77 a 96 di 251
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