Dissertation topics suggested by the teacher.
Recent dissertations supervised by the teacher.
First cycle degree programmes dissertations
- Anomaly detection nelle reti idriche
- Identificazione di Sistemi Dinamici Tramite Metodologie di Machine Learning
- Physics Informed Machine Learning: una Rassegna
Second cycle degree programmes dissertations
- A Comparative Analysis of Reinforcement Learning Algorithms in a Hybrid Learning and Optimization Framework
- A new Deep Learning model for Gamma-Ray Bursts’ light curves simulation
- AI applications to Gas-Chromatography for Chemical Compound Detection
- Anomaly Detection and Characterization in Tableting Machines
- Anomaly Detection in Contesti Industriali: Implementazione di Modelli di Machine Learning per la Manutenzione Predittiva nei Nastri Trasportatori
- Challenging the Dynamics of Time: Generate and Evaluate Real-World Time Series to estimate NOx Emissions in a Turbo Machine
- Constrained procedural generation of 2D mazes and intelligent artificial agents for cognitive therapy
- Contributions to a LSTM-based Machine Learning Pipeline for Forecasting Stock Market Trends
- Data-driven Capacity Estimation of Lithium-Ion Batteries Using Machine Learning Methods
- Dealing with Long-Term Constraints in a Hybrid Learning and Optimization Method
- Deep Learning Methods for Fall Detection
- Deep Renewal Equation: an informed Machine Learning approach to series of counts and probability estimation
- Game Agents: Challenges and Examples of AI Agent Development from the Video Games Industry
- How Reinforcement Learning can improve Video Games Development: Dreamer and P2E Algorithms in the SheepRL Framework
- Hybrid Learning and Optimization for Routing Collaborative Robots
- Indoor Localization Through AI and Smartphone Sensors
- Integra: INclusive Technology for Enhanced Gradation and Review of Applicants
- Interpolation of Annual Maximum rainfall probability distribution using Graph Neural Networks
- Machine Learning Methods for Fall Detection
- Metodi e modelli di machine learning per la predizione a corto raggio di serie storiche finanziarie
- Multi-step Energy Demand Forecasting for Industrial Applications
- Music Feature Extraction for Automatic Integration in a Sample-Based Approach for Music Generation
- Neural Cox Model for Liver Transplant
- On Autoregressivity in Generative Models
- Optimizing Cloud Network Security with Anomaly Detection for DDoS Attacks
- Path Extraction via Column Generation: an Empirical Study
- Semi-supervised Learning in Graph Neural Networks for Structural and Property Prediction Applied to Advanced Functional Materials Design
- Sviluppo di un modello di Machine Learning per il rilevamento e la classificazione di guasti in un nastro trasportatore
- Vocals Recognition for Deepfake Singer Identification: using Siamese and Multi-input CNN based Ensemble Models
PhD programmes thesis
- Novel techniques for harnessing symbolic and structured information into machine learning
