14 June 2022
Lorena Crapa.
Studio e Analisi dei Big Data per lo sviluppo di un modello di manutenzione predittiva in ambito veicolare = Study and Analysis of Big Data for the development of a predictive maintenance model in the vehicular domain.
Rel. Tania Cerquitelli, Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Engineering And Management, 2022
21 April 2023
Antonio Albanese.
Deep Anomaly Detection: an experimental comparison of deep learning algorithms for anomaly detection in time series data.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
27 October 2023
Cristina Tortia.
Data-Driven Insights and Predictive Analytics in Manufacturing: Machine Learning for Industry 4.0.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
15 December 2023
Sebastiano Barresi.
Lorentz-invariant augmentation for high-energy physics deep learning models.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
11 April 2024
Guido Genco.
Tandem: segmentation of small medical objects exploiting classification.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Computer Engineering, 2024
4 October 2024
Cecilia Cardellino.
Graph Neural Network e tecniche di explainability applicate al commercio del caffè = Graph Neural Networks and Explainability Techniques Applied to Coffee Trade.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Mathematical Engineering, 2024
13 December 2024
Matteo Celia.
Uno studio comparativo delle equazioni differenziali ordinarie neurali e degli operatori neurali per la modellazione delle dinamiche temporali.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Computer Engineering, 2024
11 April 2025
Paolo Rizzo.
Model-Free Multi-Agent Reinforcement Learning Approach in NeurIPS LuxAI S3 Competition.
Rel. Daniele Apiletti, Simone Monaco, Daniele Rege Cambrin. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
Pietro Noto.
RAG system for automatic report generation.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Computer Engineering, 2025
25 July 2025
Marco De Luca.
Artificial intelligence for climate teleconnections: a graph neural network approach with interpretable attention mechanisms.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Computer Engineering, 2025
Daniele Mansillo.
Multimodal RAG for Slide Presentations with Synthetic Data Generation and Anonymization.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
24 October 2025
Barbara Frittella.
Explainability-Driven Deep Learning for Predicting Biological Invasiveness in Plant Species.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
Guido Spina.
XAI tools to predict biological invasiveness: a case study in plants.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
Up a level