Dissertation topics suggested by the teacher.
Recent dissertations supervised by the teacher.
First cycle degree programmes dissertations
- Asymmetries in Adversarial Settings
- Identificazione di Sistemi Dinamici Tramite Metodologie di Machine Learning
- Physics Informed Machine Learning: una Rassegna
- Pianificazione di attività per robot di collaudo tramite metodi di ottimizzazione
combinatoria
- Reti Neurali ed Equazioni Differenziali Ordinarie: 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
- Artificial intelligence algorithms to support neuropsychologists in configuring cognitive stimulation exercises for Parkinsonian patients
- Bank Transaction Reconciliation using Machine Learning Methods
- 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
- Cryptomining detection on cloud environments through containerised application profiling and classification
- 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
- Design and Analysis of a Gearbox Predictive Maintenance System
- Evaluation Metrics and Transfer Learning for Sales Prediction
- 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
- ICE Emissions Estimation through Machine-learning techniques to support real-world R&D experiments
- Indoor Localization Through AI and Smartphone Sensors
- Interpolation of Annual Maximum rainfall probability distribution using Graph Neural Networks
- Machine Learning Methods for Fall Detection
- Multi-step Energy Demand Forecasting for Industrial Applications
- Music Feature Extraction for Automatic Integration in a Sample-Based Approach for Music Generation
- Optimizing Pairs Trading Strategy via Deep Learning techniques and Technical Indicators: An empirical study on the S&P 500
- Path Extraction via Column Generation: an Empirical Study
- Promo Detection: Time Series Classification methods applied on CPG data
- QAL-BP: An Augmented Lagrangian Quantum Approach for the Bin Packing Problem
- Redesign of the Data Processing Pipeline for a Criminal Procedure Handling Problem
- Semi-supervised Learning in Graph Neural Networks for Structural and Property Prediction Applied to Advanced Functional Materials Design
- Smart sampling approaches for Decision-Focused Learning
