Sfoglia per Relatore  

Opzioni
Vai a: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Mostrati risultati da 64 a 83 di 146
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2023 Enhancing Anomaly Detection: Integrating Human Feedback Through Active Learning Enhancing Anomaly Detection: Integrating Human Feedback Through Active Learning BAZ RADWAN, FAIROUZ
Lauree magistrali 2023 Enhancing Design Innovation of Realistic Natural Slab Image Synthesis for Industrial Application with Generative AI Enhancing Design Innovation of Realistic Natural Slab Image Synthesis for Industrial Application with Generative AI. SALVIATO, SILVIA
Lauree magistrali 2024 Enhancing interpretability in Visual Anomaly Detection through Concept Bottleneck Models Enhancing interpretability in Visual Anomaly Detection through Concept Bottleneck Models STROPENI, ARIANNA
Lauree magistrali 2022 Error Cause Analysis of Laboratory Results with the Help of AI Error Cause Analysis of Laboratory Results with the Help of AI MATTEAZZI, ANDREA
Lauree magistrali 2023 Estimation of the Air/Gas Ratio in Heating Appliances: Application of Basic ML Techniques to the State of the Art Estimation of the Air/Gas Ratio in Heating Appliances: Application of Basic ML Techniques to the State of the Art VITETTA, EMANUELE
Lauree magistrali 2024 Evaluating Deep Reinforcement Learning Algorithms for Autonomous Navigation on Edge Devices Evaluating Deep Reinforcement Learning Algorithms for Autonomous Navigation on Edge Devices DAL NEVO, MATTEO
Lauree magistrali 2023 Explainability in recommender systems: a comparative analysis of two transformer-based models Explainability in recommender systems: a comparative analysis of two transformer-based models ORELLANA I RÍOS, JOAN
Lauree magistrali 2024 Explainable anomaly detection for electric vehicles’ charging stations Explainable anomaly detection for electric vehicles’ charging stations MAZZUCCO, ANDREA
Lauree magistrali 2024 Exploring Fairness in Domain-Incremental Learning for Chest X-ray Diagnosis Exploring Fairness in Domain-Incremental Learning for Chest X-ray Diagnosis LONGHIN, DILETTA
Lauree magistrali 2023 Exploring Large Language Models for Chatbot Development: A Natural Language Processing Framework Exploring Large Language Models for Chatbot Development: A Natural Language Processing Framework PETRINA, STEFANO
Lauree magistrali 2024 Fine-tuning of pre-trained ASR models for transcription of Italian fiscal codes Fine-tuning of pre-trained ASR models for transcription of Italian fiscal codes BORASO, FRANCESCO
Lauree triennali 2024 Fondamenti di XAI e analisi del metodo SHAP Foundations of XAI and analysis of the SHAP method LECCO, LORENZO
Lauree magistrali 2024 From Email Mining to Unsupervised Classification: An NLP Approach From Email Mining to Unsupervised Classification: An NLP Approach ORTEGA DOMINGUEZ, ESTEBAN
Lauree magistrali 2024 From Space to Flow: Modeling Human Mobility with Satellite Imagery and Deep Learning From Space to Flow: Modeling Human Mobility with Satellite Imagery and Deep Learning GABRIELE, FRANCESCO
Lauree magistrali 2024 Fully Dynamic Rebalancing of Dockless Bike Sharing Systems using Deep Reinforcement Learning Fully Dynamic Rebalancing of Dockless Bike Sharing Systems using Deep Reinforcement Learning SCARPEL, EDOARDO
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
Mostrati risultati da 64 a 83 di 146
Legenda icone

  •  file ad accesso aperto
  •  file ad accesso riservato
  •  file sotto embargo
  •  nessun file disponibile