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Fairness in Rankings via Randomized Algorithms
2023/2024 KLIACHKIN, ANDRII
Fairness in Unsupervised Visual Anomaly Detection: Evaluating Demographic Bias Across Medical Imaging Domains
2025/2026 EYVAZOV, ELDAR
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
Forecasting Solar Panel Electricity Generation for 50 Countries with Diffusion Models
2024/2025 SHEIBANI, MOONES SADAT
From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories
2023/2024 WICAKSONO, SATRIA BAGUS
From Data to Demand: Advanced Electricity Load Forecasting Using Neural Network
2024/2025 JAMALI, SADAF
From Email Mining to Unsupervised Classification: An NLP Approach
2024/2025 ORTEGA DOMINGUEZ, ESTEBAN
From Fossil Fuels to Electric: Modeling Battery Electric Vehicle Adoption with Innovation Diffusion and Machine Learning Models
2024/2025 KARAKUŞ, IŞIKAY
From Space to Flow: Modeling Human Mobility with Satellite Imagery and Deep Learning
2024/2025 GABRIELE, FRANCESCO
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
Generative diffusion models for sequential recommendations
2024/2025 ZOLGHADR, SHARARE
Global Discovery of Pathogens: A Network Analysis and Modeling Approach
2020/2021 WAINAINA, LYNDA NDUTA
GRAPH NEURAL NETWORKS FOR LEARNING DOMAIN DEPENDENT HEURISTICS IN AUTOMATED PLANNING; ENHACING THE GOOSE FRAMEWORK
2023/2024 HOSCHEK, MAREN MICHELLE
| 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 | 2025 | Fairness in Unsupervised Visual Anomaly Detection: Evaluating Demographic Bias Across Medical Imaging Domains | Fairness in Unsupervised Visual Anomaly Detection: Evaluating Demographic Bias Across Medical Imaging Domains | EYVAZOV, ELDAR | |
| 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 | 2024 | Forecasting Solar Panel Electricity Generation for 50 Countries with Diffusion Models | Forecasting Solar Panel Electricity Generation for 50 Countries with Diffusion Models | SHEIBANI, MOONES SADAT | |
| 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 Data to Demand: Advanced Electricity Load Forecasting Using Neural Network | From Data to Demand: Advanced Electricity Load Forecasting Using Neural Network | JAMALI, SADAF | |
| 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 | 2024 | From Fossil Fuels to Electric: Modeling Battery Electric Vehicle Adoption with Innovation Diffusion and Machine Learning Models | From Fossil Fuels to Electric: Modeling Battery Electric Vehicle Adoption with Innovation Diffusion and Machine Learning Models | KARAKUŞ, IŞIKAY | |
| Lauree magistrali | 2024 | From Space to Flow: Modeling Human Mobility with Satellite Imagery and Deep Learning | From Space to Flow: Modeling Human Mobility with Satellite Imagery and Deep Learning | GABRIELE, FRANCESCO | |
| 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 | 2024 | Generative diffusion models for sequential recommendations | Generative diffusion models for sequential recommendations | ZOLGHADR, SHARARE | |
| 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 |
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