Sfoglia per Relatore
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
Extracting Data from Banking Documents using Computer Vision and Natural Language Processing Tools
2024/2025 VAROTTO, DAVIDE
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
Generative diffusion models for sequential recommendations
2024/2025 ZOLGHADR, SHARARE
Improving LLaVA for Numerosity Perception: Analyzing Numerical Representations in a Multimodal LLM
2024/2025 ONER, TIMUR
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
Mitigating Sycophancy in Large Language Models through Prompt Design: A Transparent Knowledge-Augmented Approach Based on Internal Retrieval
2024/2025 LA ROSA, ANDREA
Modelli di Machine Learning per la predizione di attacchi epilettici sulla base del segnale EEG
2021/2022 MORO, NICHOLAS
Monitoraggio acustico basato sull'intelligenza artificiale delle specie di uccelli alpine in Italia: una valutazione sistematica e un'ottimizzazione di BirdNET
2024/2025 SCHIAVO, GIACOMO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| 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 | 2024 | Extracting Data from Banking Documents using Computer Vision and Natural Language Processing Tools | Extracting Data from Banking Documents using Computer Vision and Natural Language Processing Tools | VAROTTO, DAVIDE | |
| 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 | 2024 | Generative diffusion models for sequential recommendations | Generative diffusion models for sequential recommendations | ZOLGHADR, SHARARE | |
| Lauree magistrali | 2024 | Improving LLaVA for Numerosity Perception: Analyzing Numerical Representations in a Multimodal LLM | Improving LLaVA for Numerosity Perception: Analyzing Numerical Representations in a Multimodal LLM | ONER, TIMUR | |
| 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 | |
| Lauree magistrali | 2024 | Mitigating Sycophancy in Large Language Models through Prompt Design: A Transparent Knowledge-Augmented Approach Based on Internal Retrieval | Mitigating Sycophancy in Large Language Models through Prompt Design: A Transparent Knowledge-Augmented Approach Based on Internal Retrieval | LA ROSA, ANDREA | |
| Lauree magistrali | 2021 | Modelli di Machine Learning per la predizione di attacchi epilettici sulla base del segnale EEG | Machine Learning models for epileptic seizures prediction based on EEG signal | MORO, NICHOLAS | |
| Lauree magistrali | 2024 | Monitoraggio acustico basato sull'intelligenza artificiale delle specie di uccelli alpine in Italia: una valutazione sistematica e un'ottimizzazione di BirdNET | AI-based acoustic monitoring of Alpine bird species in Italy: A systematic evaluation and optimization of BirdNET | SCHIAVO, GIACOMO |
Legenda icone
- file ad accesso aperto
- file ad accesso riservato
- file sotto embargo
- nessun file disponibile