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Number of items: 17.
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Lorenzo Spanio.
Progettazione e sviluppo di un sistema multi-agente gerarchico per il dominio turistico = Design and development of a hierarchical multi-agent system for the tourism domain.
Rel. Simone Monaco. Politecnico di Torino, Master of science program in Mathematical Engineering, 2026
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Emanuele Barbieri.
Multimodal Contrastive Geometric Deep Learning for Parkinson’s Disease Assessment.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Computer Engineering, 2026
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Gianluca Cambareri.
Il contributo della Business Intelligence nei processi di Forecast FP&A: evidenze da un caso studio aziendale = The Role of Business Intelligence in FP&A Forecasting Processes: Evidence from a Corporate Case Study.
Rel. Simone Monaco. Politecnico di Torino, Master of science program in Engineering And Management, 2026
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Leonardo Pompozzi.
Reingegnerizzazione dei flussi di integrazione dati in un data warehouse aziendale: architettura multilivello e implementazione di un framework ETL con Oracle Data Integrator = Reengineering data integration flows in a corporate data warehouse: a multilayer architecture and ETL framework implementation with Oracle Data Integrator.
Rel. Simone Monaco. Politecnico di Torino, Master of science program in Engineering And Management, 2026
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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
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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
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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
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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
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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
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Pietro Noto.
RAG system for automatic report generation.
Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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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
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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
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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
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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
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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
![[thumbnail of Tesi_di_laurea]](https://webthesis.biblio.polito.it/style/images/fileicons/application_pdf.png "Tesi_di_laurea")
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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
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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
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