Sfoglia per Relatore
Generative Algorithms for Myocardial-Scar-Tissue structures
2024/2025 BAYER PUERTA, VICTOR HANS
iATADocumentIntelligence: AI for Document Processing and Product Matching
2024/2025 MANUZZATO, MATTEO
Impact of Nominal Data Contamination and Fault Data Scarcity on Fault Classification Performance
2024/2025 BAKIRCI, İCLEM NAZ
Implementing Machine learning algorithms in the prediction of aluminum quality during recycling
2023/2024 KHODABAKHSHI, MONA
Improvement of time-series forecasting algorithms in low-power embedded systems by efficient online/incremental learning
2022/2023 SHAMSAKI, EMAD
Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach
2021/2022 VIOLA, MASSIMILIANO
Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting
2022/2023 BUGARIC, JOVANA
Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches
2022/2023 BELLAN, RICCARDO
Isolation-based Anomaly Detection: State-of-Art Review and a Mondrian Forest-inspired Advancement
2020/2021 DALLA CHIARA, FILIPPO
Latent Replay for Continual Learning on Edge devices with Efficient Architectures
2022/2023 TREMONTI, MATTEO
Learning-based Model Predictive Controller for Lateral Control of Autonomous Vehicles
2023/2024 LORENZI, CRISTIAN
Leveraging Ground Penetrating Radar with Deep Reinforcement Learning for Subsurface-Informed Navigation in Autonomous Agricultural Robotics
2024/2025 RETTORE, RICCARDO
LLM-based chatbot systems for real world applications
2023/2024 BEDIN, MANUEL
LLM-based RecSys: Multi-agent Architectures and Advanced RAG Techniques
2024/2025 RUSSO, CHRISTIAN FRANCESCO
Machine Learning Analysis of Latent Correlations in RRAM Wafer Screening Tests for Automotive Microcontrollers
2024/2025 SCALABRIN, SIMONE
Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios
2021/2022 CONVENTO, ENRICO
Machine Learning approaches for domestic coffee machines
2022/2023 TORTORA, NICOLAS
Machine Learning approaches for Smart Monitoring of Sintering Equipment
2021/2022 MECENERO, SAMUELE
Machine Learning Based Fault Detection Of Automated Driving Functions In Time-series Data
2024/2025 HANIFI, NAZLI
Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling
2023/2024 ROSALEN, RICCARDO
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2024 | Generative Algorithms for Myocardial-Scar-Tissue structures | Generative Algorithms for Myocardial-Scar-Tissue structures | BAYER PUERTA, VICTOR HANS | |
| Lauree magistrali | 2024 | iATADocumentIntelligence: AI for Document Processing and Product Matching | iATADocumentIntelligence: AI for Document Processing and Product Matching | MANUZZATO, MATTEO | |
| Lauree magistrali | 2024 | Impact of Nominal Data Contamination and Fault Data Scarcity on Fault Classification Performance | Impact of Nominal Data Contamination and Fault Data Scarcity on Fault Classification Performance | BAKIRCI, İCLEM NAZ | |
| Lauree magistrali | 2023 | Implementing Machine learning algorithms in the prediction of aluminum quality during recycling | Implementing Machine learning algorithms in the prediction of aluminum quality during recycling | KHODABAKHSHI, MONA | |
| Lauree magistrali | 2022 | Improvement of time-series forecasting algorithms in low-power embedded systems by efficient online/incremental learning | Improvement of time-series forecasting algorithms in low-power embedded systems by efficient online/incremental learning | SHAMSAKI, EMAD | |
| Lauree triennali | 2021 | Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach | Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach | VIOLA, MASSIMILIANO | |
| Lauree magistrali | 2022 | Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting | Integrating State-of-the-Art Approaches for Anomaly Detection and Localization in the Continual Learning Setting | BUGARIC, JOVANA | |
| Lauree magistrali | 2022 | Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches | Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches | BELLAN, RICCARDO | |
| Lauree magistrali | 2020 | Isolation-based Anomaly Detection: State-of-Art Review and a Mondrian Forest-inspired Advancement | Isolation-based Anomaly Detection: State-of-Art Review and a Mondrian Forest-inspired Advancement | DALLA CHIARA, FILIPPO | |
| Lauree magistrali | 2022 | Latent Replay for Continual Learning on Edge devices with Efficient Architectures | Latent Replay for Continual Learning on Edge devices with Efficient Architectures | TREMONTI, MATTEO | |
| Lauree magistrali | 2023 | Learning-based Model Predictive Controller for Lateral Control of Autonomous Vehicles | Learning-based Model Predictive Controller for Lateral Control of Autonomous Vehicles | LORENZI, CRISTIAN | |
| Lauree magistrali | 2024 | Leveraging Ground Penetrating Radar with Deep Reinforcement Learning for Subsurface-Informed Navigation in Autonomous Agricultural Robotics | Leveraging Ground Penetrating Radar with Deep Reinforcement Learning for Subsurface-Informed Navigation in Autonomous Agricultural Robotics | RETTORE, RICCARDO | |
| Lauree magistrali | 2023 | LLM-based chatbot systems for real world applications | LLM-based chatbot systems for real world applications | BEDIN, MANUEL | |
| Lauree magistrali | 2024 | LLM-based RecSys: Multi-agent Architectures and Advanced RAG Techniques | LLM-based RecSys: Multi-agent Architectures and Advanced RAG Techniques | RUSSO, CHRISTIAN FRANCESCO | |
| Lauree magistrali | 2024 | Machine Learning Analysis of Latent Correlations in RRAM Wafer Screening Tests for Automotive Microcontrollers | Machine Learning Analysis of Latent Correlations in RRAM Wafer Screening Tests for Automotive Microcontrollers | SCALABRIN, SIMONE | |
| Lauree magistrali | 2021 | Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios | Machine Learning approaches for Anomaly Detection in Industrial IoT scenarios | CONVENTO, ENRICO | |
| Lauree magistrali | 2022 | Machine Learning approaches for domestic coffee machines | Machine Learning approaches for domestic coffee machines | TORTORA, NICOLAS | |
| Lauree magistrali | 2021 | Machine Learning approaches for Smart Monitoring of Sintering Equipment | Machine Learning approaches for Smart Monitoring of Sintering Equipment | MECENERO, SAMUELE | |
| Lauree magistrali | 2024 | Machine Learning Based Fault Detection Of Automated Driving Functions In Time-series Data | Machine Learning Based Fault Detection Of Automated Driving Functions In Time-series Data | HANIFI, NAZLI | |
| Lauree magistrali | 2023 | Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling | Machine Learning for Strategic Marketing: An Analysis of Methods in the Context of Marketing Mix Modeling | ROSALEN, RICCARDO |
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