Sfoglia per Corso
Data extraction applied to domain specific technical documentation.
2022/2023 GALEVSKA, STEFANIJA
Data-Driven Predictive Modeling for Alzheimer's Disease Progression: Integrating Choroid Plexus Volume Analysis
2023/2024 ROVERONI, EMMA
DEEP LEARNING FOR CLINICAL POSE ESTIMATION: A TOP DOWN APPROACH
2021/2022 ADEBIYI, OLUWAFEMI CHRIS
Definition of circular RNA expression signatures of T-cell acute lymphoblastic leukemia molecular subtypes by multimodal transcriptomics study in a large pediatric patient cohort
2023/2024 CAREGARI, ALBERTO
Detecting out of Context Sentences with a Sentence Encoder
2020/2021 MAZZONI, ALESSANDRO
DeTT: Data Efficient Temporal Transformers for Surgical Phase Recognition
2022/2023 KULAZHENKOV, IVAN
Development of Machine Learning models for Packet Quality Prediction in industrial machines
2022/2023 FRIZZO, DAVIDE
Diffusion of Innovations and Technology Readiness: Analyzing public discussion on ChatGPT
2022/2023 GERMAN, ELIZAVETA
Direct search methods for influence maximization problems
2022/2023 BERGAMASCHI, MATTEO
Directors' dealings: an analysis of their predictive power
2022/2023 ZANDEGIACOMO ORSOLINA, MATTEO
Dynamical low-rank training of neural networks
2021/2022 ZANGRANDO, EMANUELE
Eco-Friendly Wind Energy: Improving Radar Tracking Systems for Bird Monitoring
2022/2023 SECA REPAS GONCALVES, DIOGO
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 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
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2022 | Data extraction applied to domain specific technical documentation. | Data extraction applied to domain specific technical documentation. | GALEVSKA, STEFANIJA | |
| Lauree magistrali | 2023 | Data-Driven Predictive Modeling for Alzheimer's Disease Progression: Integrating Choroid Plexus Volume Analysis | Data-Driven Predictive Modeling for Alzheimer's Disease Progression: Integrating Choroid Plexus Volume Analysis | ROVERONI, EMMA | |
| Lauree magistrali | 2021 | DEEP LEARNING FOR CLINICAL POSE ESTIMATION: A TOP DOWN APPROACH | DEEP LEARNING FOR CLINICAL POSE ESTIMATION: A TOP DOWN APPROACH | ADEBIYI, OLUWAFEMI CHRIS | |
| Lauree magistrali | 2023 | Definition of circular RNA expression signatures of T-cell acute lymphoblastic leukemia molecular subtypes by multimodal transcriptomics study in a large pediatric patient cohort | Definition of circular RNA expression signatures of T-cell acute lymphoblastic leukemia molecular subtypes by multimodal transcriptomics study in a large pediatric patient cohort | CAREGARI, ALBERTO | |
| Lauree magistrali | 2020 | Detecting out of Context Sentences with a Sentence Encoder | Detecting out of Context Sentences with a Sentence Encoder | MAZZONI, ALESSANDRO | |
| 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 | 2022 | Development of Machine Learning models for Packet Quality Prediction in industrial machines | Development of Machine Learning models for Packet Quality Prediction in industrial machines | FRIZZO, DAVIDE | |
| Lauree magistrali | 2022 | Diffusion of Innovations and Technology Readiness: Analyzing public discussion on ChatGPT | Diffusion of Innovations and Technology Readiness: Analyzing public discussion on ChatGPT | GERMAN, ELIZAVETA | |
| Lauree magistrali | 2022 | Direct search methods for influence maximization problems | Direct search methods for influence maximization problems | BERGAMASCHI, MATTEO | |
| Lauree magistrali | 2022 | Directors' dealings: an analysis of their predictive power | Directors' dealings: an analysis of their predictive power | ZANDEGIACOMO ORSOLINA, MATTEO | |
| Lauree magistrali | 2021 | Dynamical low-rank training of neural networks | Dynamical low-rank training of neural networks | ZANGRANDO, EMANUELE | |
| Lauree magistrali | 2022 | Eco-Friendly Wind Energy: Improving Radar Tracking Systems for Bird Monitoring | Eco-Friendly Wind Energy: Improving Radar Tracking Systems for Bird Monitoring | SECA REPAS GONCALVES, DIOGO | |
| 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 | 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 |
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