Sfoglia per Corso
Insects on the Menu: Exploring Psychological and Demographic Factors of Novel Food Acceptance
2024/2025 ERIM, SÜLEYMAN
Instance-Based Composed Image Retrieval with Vision-Language Models
2025/2026 ALMASI KOLOR, MOHAMMADAMIN
Integrated Machine Learning and Metagenomics Approaches for Predicting Microbial Environmental Niches From High-Dimensional Functional Genomic Data
2025/2026 POLI, MIKAEL
Integrating Knowledge Graphs into RAG-Based LLMs to Improve Fact-Checking
2024/2025 VICENTINI, ROBERTO
Integrating subjectivity into relevance measurement for conversational information retrieval
2023/2024 GEPALOVA, ARINA
Intelligent System Design for Advanced Anomaly Detection in Structured Datasets
2022/2023 ZANATTA, MICHELE
Interpolazione di segnali su grafi utilizzando funzioni base di grafi definite positive
2023/2024 BIANCHI, SIMONE
Intervene or Mitigate? A Decision Problem for Combating Fake News
2021/2022 BERNARDI, ALBERTO
Investigating Adversarial Attacks on Deep Learning Models for RGB Remote Sensing Image Classification
2023/2024 MATTELIGH, ELISA
Investigating the dynamics of spontaneous activity in energy-based neural networks
2021/2022 TAUSANI, LORENZO
Jump-Diffusion Langevin Dynamics for Multimodal Posterior Sampling
2022/2023 GUIDOLIN, JACOPO
Key Information Extraction from Visually-Rich Documents
2023/2024 VIRGINIO, GIACOMO
Law and Order: un Motore di Ricerca per il Diritto Italiano
2020/2021 ROMARE, PIERO
Learned spike encoding of the channel response for low-power environment sensing
2022/2023 CICCIARELLA, ELEONORA
Learning constraints from human stop-feedbacks in Reinforcement Learning
2021/2022 POLETTI, SILVIA
Learning to Reject within a Bilevel Optimization Framework
2023/2024 SANGUIN, GABRIELE
Lens Performance Prediction after a Partial Lens Correction in DUV Lithography Systems
2023/2024 ROCCA, VALERIO
Leveraging DAGs for Asset Allocation
2021/2022 CAPRINI, LORENZO
Leveraging Machine Learning for Hospital Segmentation based on potential caseload: A Case Study Approach
2022/2023 DI FRANCESCO, REBECCA
Leveraging Spatial Transcriptomics and Machine Learning to Study Adult Neurogenesis Dynamics in the Mouse Brain
2024/2025 UDERZO, MARCO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2024 | Insects on the Menu: Exploring Psychological and Demographic Factors of Novel Food Acceptance | Insects on the Menu: Exploring Psychological and Demographic Factors of Novel Food Acceptance | ERIM, SÜLEYMAN | |
| Lauree magistrali | 2025 | Instance-Based Composed Image Retrieval with Vision-Language Models | Instance-Based Composed Image Retrieval with Vision-Language Models | ALMASI KOLOR, MOHAMMADAMIN | |
| Lauree magistrali | 2025 | Integrated Machine Learning and Metagenomics Approaches for Predicting Microbial Environmental Niches From High-Dimensional Functional Genomic Data | Integrated Machine Learning and Metagenomics Approaches for Predicting Microbial Environmental Niches From High-Dimensional Functional Genomic Data | POLI, MIKAEL | |
| Lauree magistrali | 2024 | Integrating Knowledge Graphs into RAG-Based LLMs to Improve Fact-Checking | Integrating Knowledge Graphs into RAG-Based LLMs to Improve Fact-Checking | VICENTINI, ROBERTO | |
| Lauree magistrali | 2023 | Integrating subjectivity into relevance measurement for conversational information retrieval | Integrating subjectivity into relevance measurement for conversational information retrieval | GEPALOVA, ARINA | |
| Lauree magistrali | 2022 | Intelligent System Design for Advanced Anomaly Detection in Structured Datasets | Intelligent System Design for Advanced Anomaly Detection in Structured Datasets | ZANATTA, MICHELE | |
| Lauree magistrali | 2023 | Interpolazione di segnali su grafi utilizzando funzioni base di grafi definite positive | Interpolating Graph Signals using Positive Definite Graph Basis Functions | BIANCHI, SIMONE | |
| Lauree magistrali | 2021 | Intervene or Mitigate? A Decision Problem for Combating Fake News | Intervene or Mitigate? A Decision Problem for Combating Fake News | BERNARDI, ALBERTO | |
| Lauree magistrali | 2023 | Investigating Adversarial Attacks on Deep Learning Models for RGB Remote Sensing Image Classification | Investigating Adversarial Attacks on Deep Learning Models for RGB Remote Sensing Image Classification | MATTELIGH, ELISA | |
| 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 | 2022 | Jump-Diffusion Langevin Dynamics for Multimodal Posterior Sampling | Jump-Diffusion Langevin Dynamics for Multimodal Posterior Sampling | GUIDOLIN, JACOPO | |
| Lauree magistrali | 2023 | Key Information Extraction from Visually-Rich Documents | Key Information Extraction from Visually-Rich Documents | VIRGINIO, GIACOMO | |
| Lauree magistrali | 2020 | Law and Order: un Motore di Ricerca per il Diritto Italiano | Law and Order: a Search Engine for Italian Law | ROMARE, PIERO | |
| Lauree magistrali | 2022 | Learned spike encoding of the channel response for low-power environment sensing | Learned spike encoding of the channel response for low-power environment sensing | CICCIARELLA, ELEONORA | |
| 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 | 2023 | Learning to Reject within a Bilevel Optimization Framework | Learning to Reject within a Bilevel Optimization Framework | SANGUIN, GABRIELE | |
| Lauree magistrali | 2023 | Lens Performance Prediction after a Partial Lens Correction in DUV Lithography Systems | Lens Performance Prediction after a Partial Lens Correction in DUV Lithography Systems | ROCCA, VALERIO | |
| Lauree magistrali | 2021 | Leveraging DAGs for Asset Allocation | Leveraging DAGs for Asset Allocation | CAPRINI, LORENZO | |
| Lauree magistrali | 2022 | Leveraging Machine Learning for Hospital Segmentation based on potential caseload: A Case Study Approach | Leveraging Machine Learning for Hospital Segmentation based on potential caseload: A Case Study Approach | DI FRANCESCO, REBECCA | |
| Lauree magistrali | 2024 | Leveraging Spatial Transcriptomics and Machine Learning to Study Adult Neurogenesis Dynamics in the Mouse Brain | Leveraging Spatial Transcriptomics and Machine Learning to Study Adult Neurogenesis Dynamics in the Mouse Brain | UDERZO, MARCO |
Legenda icone
- file ad accesso aperto
- file ad accesso riservato
- file sotto embargo
- nessun file disponibile