Sfoglia per Relatore
A Machine Learning Approach for Automatic Identification of Tawny Owl Individuals From Acoustic Features
2024/2025 NAJAD, ODAY
A study of spiking neural networks for biologically plausible deep learning
2020/2021 DE MATOLA, MATTEO
Active Learning for ticket prediction
2020/2021 LANZA, ENRICO
Affective Computing, Anthropomorphism, and the Psychological Risks of Emotionally Responsive AI
2025/2026 BERTONCELLI, SARA
An empirical analysis of software tools for the creation of realistic deepfake videos
2024/2025 SOUFEH, SAEED
Analisi di segnale EEG per la predizione di crisi epilettiche
2023/2024 MEDVEDEVA, NATALYA
Analysing Valence Shifts in Scientific Narratives on Psychedelics using BERT and Topic Modeling.
2024/2025 ABRAMOVA, OKSANA
Analyzing Valence Shifts in Scientific Narratives on Psychedelics using Large Language Models and Knowledge Graphs
2024/2025 BERISHA, DAFINA
Augmenting convolutional neural networks with kernels inspired by the early visual system
2021/2022 ROVOLETTO, MATTEO BRUNO
Beyond Sociodemographics: Designing and Implementing a Machine Learning Pipeline for Contextual Risk Analysis of Mafia Infiltration in Italian Municipalities
2024/2025 MILAN, LISA
Bias culturale nell’IA generativa: stato dell’arte e prospettive future
2025/2026 MALVEZZI, FRANCESCA
Classificazione gerarchica di testo in ambito e-commerce
2021/2022 VACCARO, FABIO
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
Detection of Bombina Vocalizations in Environmental Recordings Using Convolutional Neural Networks
2025/2026 SMIRNOV, ILIA
DeTT: Data Efficient Temporal Transformers for Surgical Phase Recognition
2022/2023 KULAZHENKOV, IVAN
Development of an AutoML web application for machine learning tasks
2024/2025 BELLO, ANDREA
Distributed Deep Reinforcement Learning for Drone Swarm Control
2020/2021 Venturini, Federico
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2024 | A Machine Learning Approach for Automatic Identification of Tawny Owl Individuals From Acoustic Features | A Machine Learning Approach for Automatic Identification of Tawny Owl Individuals From Acoustic Features | NAJAD, ODAY | |
| Lauree magistrali | 2020 | A study of spiking neural networks for biologically plausible deep learning | A study of spiking neural networks for biologically plausible deep learning | DE MATOLA, MATTEO | |
| Lauree magistrali | 2020 | Active Learning for ticket prediction | Active Learning for ticket prediction | LANZA, ENRICO | |
| Lauree triennali | 2025 | Affective Computing, Anthropomorphism, and the Psychological Risks of Emotionally Responsive AI | Affective Computing, Anthropomorphism, and the Psychological Risks of Emotionally Responsive AI | BERTONCELLI, SARA | |
| Lauree magistrali | 2024 | An empirical analysis of software tools for the creation of realistic deepfake videos | An empirical analysis of software tools for the creation of realistic deepfake videos | SOUFEH, SAEED | |
| Lauree magistrali | 2023 | Analisi di segnale EEG per la predizione di crisi epilettiche | Analysis of EEG signals for the prediction of epileptic seizures | MEDVEDEVA, NATALYA | |
| Lauree magistrali | 2024 | Analysing Valence Shifts in Scientific Narratives on Psychedelics using BERT and Topic Modeling. | Analysing Valence Shifts in Scientific Narratives on Psychedelics using BERT and Topic Modeling. | ABRAMOVA, OKSANA | |
| Lauree magistrali | 2024 | Analyzing Valence Shifts in Scientific Narratives on Psychedelics using Large Language Models and Knowledge Graphs | Analyzing Valence Shifts in Scientific Narratives on Psychedelics using Large Language Models and Knowledge Graphs | BERISHA, DAFINA | |
| Lauree triennali | 2021 | Augmenting convolutional neural networks with kernels inspired by the early visual system | Augmenting convolutional neural networks with kernels inspired by the early visual system | ROVOLETTO, MATTEO BRUNO | |
| Lauree magistrali | 2024 | Beyond Sociodemographics: Designing and Implementing a Machine Learning Pipeline for Contextual Risk Analysis of Mafia Infiltration in Italian Municipalities | Beyond Sociodemographics: Designing and Implementing a Machine Learning Pipeline for Contextual Risk Analysis of Mafia Infiltration in Italian Municipalities | MILAN, LISA | |
| Lauree triennali | 2025 | Bias culturale nell’IA generativa: stato dell’arte e prospettive future | Cultural Bias in Generative AI: State of the Art and Future Perspectives | MALVEZZI, FRANCESCA | |
| Lauree magistrali | 2021 | Classificazione gerarchica di testo in ambito e-commerce | Hierarchical classification of text in e-commerce context | VACCARO, FABIO | |
| 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 | 2025 | Detection of Bombina Vocalizations in Environmental Recordings Using Convolutional Neural Networks | Detection of Bombina Vocalizations in Environmental Recordings Using Convolutional Neural Networks | SMIRNOV, ILIA | |
| 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 | 2024 | Development of an AutoML web application for machine learning tasks | Development of an AutoML web application for machine learning tasks | BELLO, ANDREA | |
| Lauree magistrali | 2020 | Distributed Deep Reinforcement Learning for Drone Swarm Control | - | Venturini, Federico |
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