Sfoglia per Relatore
Classifying community text and community groups using machine learning
2021/2022 HUANG, ZESEN
Deep learning techniques for biological signal processing: Automatic detection of dolphin sounds
2021/2022 KORKMAZ, BURLA NUR
Deep Reinforcement Learning methods for StarCraft II Learning Environment
2020/2021 Dainese, Nicola
Depression Classification from rs-fMRI: A Local-to-Global Graph Neural Network Approach
2023/2024 CHRISTAKOU, LEONI-STAVROULA
DeTT: Data Efficient Temporal Transformers for Surgical Phase Recognition
2022/2023 KULAZHENKOV, IVAN
Distributed Deep Reinforcement Learning for Drone Swarm Control
2020/2021 Venturini, Federico
Early-Stage Alzheimer's Disease Detection Using an Explainable Deep Learning Method and Functional Magnetic Resonance Imaging (fMRI)
2022/2023 EBRAHIMIAN BABOUKANI, REZA
Enhancing Default Prediction with Mixed High-Frequency Market Data
2023/2024 TROGU, SOFIA POPE
Evaluation of basic mathematical abilities of neural networks
2022/2023 HOU, KUINAN
Explainability of machine learning models: A systematic review and a case study on BERT
2020/2021 ARCUDI, ALESSIO
Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data
2022/2023 DE RENZIS, SIMONE
Exploring Multilingual Embeddings for Italian Semantic Search: A Pretrained and Fine-tuned Approach
2023/2024 RINALDI, NICOLÒ
Exploring the Influence of Graph Neural Network-Based Link Prediction on Social Contagion Dynamics
2023/2024 VALLS CIFRE, ANTONI
FINE-TUNING DEEP LEARNING MODELS FOR AUTOMATED BIRD RECOGNITION: AN EMPIRICAL EVALUATION OF BIRDNET
2023/2024 TEYMOURI, SAMIRA
Forecasting epileptic seizures from electroencephalograms using deep neural networks
2022/2023 POZZA, MARCO
Generative adversarial network for predictive maintenance of a packaging machine
2021/2022 RASETTA, ADRIANO
Investigating the dynamics of spontaneous activity in energy-based neural networks
2021/2022 TAUSANI, LORENZO
Key Information Extraction from Visually-Rich Documents
2023/2024 VIRGINIO, GIACOMO
Learning constraints from human stop-feedbacks in Reinforcement Learning
2021/2022 POLETTI, SILVIA
Machine Learning and Deep Learning approaches for XML document classification
2020/2021 GAZZOLA, GIOVANNI
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2021 | Classifying community text and community groups using machine learning | Classifying community text and community groups using machine learning | HUANG, ZESEN | |
| Lauree magistrali | 2021 | Deep learning techniques for biological signal processing: Automatic detection of dolphin sounds | Deep learning techniques for biological signal processing: Automatic detection of dolphin sounds | KORKMAZ, BURLA NUR | |
| Lauree magistrali | 2020 | Deep Reinforcement Learning methods for StarCraft II Learning Environment | - | Dainese, Nicola | |
| Lauree magistrali | 2023 | Depression Classification from rs-fMRI: A Local-to-Global Graph Neural Network Approach | Depression Classification from rs-fMRI: A Local-to-Global Graph Neural Network Approach | CHRISTAKOU, LEONI-STAVROULA | |
| Lauree magistrali | 2022 | DeTT: Data Efficient Temporal Transformers for Surgical Phase Recognition | DeTT: Data Efficient Temporal Transformers for Surgical Phase Recognition | KULAZHENKOV, IVAN | |
| Lauree magistrali | 2020 | Distributed Deep Reinforcement Learning for Drone Swarm Control | - | Venturini, Federico | |
| Lauree magistrali | 2022 | Early-Stage Alzheimer's Disease Detection Using an Explainable Deep Learning Method and Functional Magnetic Resonance Imaging (fMRI) | Early-Stage Alzheimer's Disease Detection Using an Explainable Deep Learning Method and Functional Magnetic Resonance Imaging (fMRI) | EBRAHIMIAN BABOUKANI, REZA | |
| Lauree magistrali | 2023 | Enhancing Default Prediction with Mixed High-Frequency Market Data | Enhancing Default Prediction with Mixed High-Frequency Market Data | TROGU, SOFIA POPE | |
| Lauree magistrali | 2022 | Evaluation of basic mathematical abilities of neural networks | Evaluation of basic mathematical abilities of neural networks | HOU, KUINAN | |
| 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 | 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 | 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 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 | 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 | 2022 | Forecasting epileptic seizures from electroencephalograms using deep neural networks | Forecasting epileptic seizures from electroencephalograms using deep neural networks | POZZA, MARCO | |
| 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 | 2021 | Investigating the dynamics of spontaneous activity in energy-based neural networks | Investigating the dynamics of spontaneous activity in energy-based neural networks | TAUSANI, LORENZO | |
| Lauree magistrali | 2023 | Key Information Extraction from Visually-Rich Documents | Key Information Extraction from Visually-Rich Documents | VIRGINIO, GIACOMO | |
| Lauree magistrali | 2021 | Learning constraints from human stop-feedbacks in Reinforcement Learning | Learning constraints from human stop-feedbacks in Reinforcement Learning | POLETTI, SILVIA | |
| Lauree magistrali | 2020 | Machine Learning and Deep Learning approaches for XML document classification | Machine Learning and Deep Learning approaches for XML document classification | GAZZOLA, GIOVANNI |
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