Sfoglia per Corso
Evaluation of deep learning transformers models for brain stroke lesions automatic segmentation
2021/2022 ARANGUREN, ANDRES
Evaluation of RNA velocity as a signal for the reconstruction of gene regulatory networks.
2021/2022 FARNEA, GRETA
Exact and heuristic algorithms for multi-robot system routing, oriented to underwater monitoring.
2021/2022 MIOLATO, MATTIA
Explainability in recommender systems: a comparative analysis of two transformer-based models
2023/2024 ORELLANA I RÍOS, JOAN
Explainability of machine learning models: A systematic review and a case study on BERT
2020/2021 ARCUDI, ALESSIO
Explaining Rocket time series classifier model
2022/2023 RASTEGAR, ARVIN
Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data
2022/2023 DE RENZIS, SIMONE
EXPLORING CONVOLUTION FOR THE DETECTION OF MENTAL ATTENTION STATES
2021/2022 ANDOVSKA, SANDRA
Exploring Deep Learning Domain Adaptation performance: from Covariate shift to Wasserstein and beyond
2023/2024 FURLAN, MARCO
Exponential smoothing with neural networks: a TBATS-NN hybrid model for hierarchical time series forecasting
2023/2024 BIANCUCCI, FRANCESCO
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
FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET
2023/2024 TEYMOURI, SAMIRA
From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories
2023/2024 WICAKSONO, SATRIA BAGUS
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
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| 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 | 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 | |
| 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 |
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