Argomenti di tesi proposti dal docente.
Ultime tesi seguite dal docente
Tesi di Laurea
- Metodi di Machine Learning per la Rilevazione di Anomalie in Valvole Industriali nella Prevenzione dei Guasti
Tesi di Laurea Magistrale
- A Constraint Programming Engine for Interactive CO2 LCA and Carbon Neutrality Planning
- A JAX-Based Framework for Monte Carlo Free-Energy Estimation: Statistical Validation and Gradient-Based Optimization
- A personalized affective conversational agent with an evolving user profile
- A Study on Estimating Class-Specific Water Consumption
- An interpretable and probabilistic approach to ACS COSI background modeling
- Artificial Intelligence and Monte-Carlo Simulation for Company Financial Forecasting
- Artificial Intelligence for Robust Black-Box Decision Support Systems: a Case of Study on Unit Commitment
- Data-Driven Anomaly Detection for Atomic Clock Time Series in the Galileo
- Design and Evaluation of a Horizontal Matchmaking System based on RAG and Semantic search
- Designing better hospitals: an adaptive simulation-optimization pipeline for layout planning
- Development of a Data-Driven Estimator from Smart Meter Data for Total Water Demand Reconstruction
- Dynamic Pricing and Margin Optimization Using Data-Driven Methods: Development and Implementation of a Machine Learning Pipeline for the Fuel Card Industry
- Efficient Vehicle State Estimation on CAN-Bus/IMU Time-Series: Leveraging Convolutional Methodologies for Real-Time Maneuver Recognition
- FujiAI: chatbot per supporto clienti durante l’assistenza post-vendita
- Hybrid Reinforcement Learning for a Dynamic Palletization Problem
- lifetime value prediction using clustering and survival modeling
in the fuel card industry
- Modernization and Optimization of the Kernel-Based HGR Maximal Correlation Index
- Online Anomaly Detection Pipeline for Solid-State Drives via S.M.A.R.T. Data Analysis
- Optimization of Production and Packaging Schedules Using Declarative Approaches: Application to a Food Manufacturing Plant
- Physics-Informed Anomaly Detection for High-Speed Electric Spindles
- Probabilistic Modeling and Anomaly Detection for Emergency Ball Valves
- Pushing Cars' Limits: Exploring Autonomous Technologies in the Formula SAE Driverless Competition
- SAFE: Statistical Analysis and Integration of Laboratory and Field Sensor Data for Gearbox Health Monitoring
- Structured Data Extraction from Financial Documents: A Practical Application of Multimodal Large Language Models
- TOYOTA R&D ASSISTANT: A LLMs based Multi-Agent System for Conversational Battery Data Analysis
- Uncertainty Quantification and Explanation in Deep Learning for Species Distribution Modelling
Tesi di Dottorato
- SMiLE: safe machine learning via embedded overapproximation
