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Number of items: 15.

Gioele Scaletta. Deep Reinforcement Learning for Portfolio Optimization. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2024

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Alessandro Gelsi. Matrix Profile meets Contrastive Learning: A Novel approach to Time series Anomaly Detection. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2024

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Arcangelo Frigiola. Supervised Contrastive Learning for Classification of Market Stock Series. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024

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Mario Gabriele Palmeri. Anomaly Detection for Anti-Financial Crime. Rel. Luca Cagliero, Danilo Giordano, Flavio Giobergia, Marco Mellia, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2023

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Amr Abdelrahman Abdelrahman Alashram. Entity Recognition and Disambiguation for Financial Transaction Monitoring. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2023

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Stefano Galvagno. Explaining contrastive models for financial time series forecasting. Rel. Luca Cagliero, Jacopo Fior, Moreno La Quatra. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023

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Alessandro Rigoli. Legal Entity Disambiguation For Financial Crime Forensics. Rel. Danilo Giordano, Elena Maria Baralis, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2022

Andrea Zappavigna. Exploration Techniques for a Deep Reinforcement Learning Trading Agent. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2022

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Francesco Mangia. Financial data analysis by means of Reinforcement Learning techniques. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022

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Sofia Perosin. An Extraction-Abstraction Hybrid Approach for Financial Document Summarization. Rel. Luca Cagliero, Moreno La Quatra, Jacopo Fior. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021

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Gabriele Salvo. Multi-task learning methods for intraday stock trading. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2021

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Tommaso Calo'. Financial Time Series Summarization. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021

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Giuseppe D'Agostino. Study and development of machine learning-based cryptocurrency trading systems. Rel. Luca Cagliero, Giuseppe Attanasio, Jacopo Fior. Politecnico di Torino, Master of science program in Computer Engineering, 2021

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Daniele Giovanni Gioia. A decision support system for planning stock portfolios based on a two-stage itemset-based approach. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Mathematical Engineering, 2020

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Davide Bazzigotti. Esplorazione di dati a diversi livelli di granularità per la predizione di mercati azionari = Exploring multiple data granularities for stock price forecasting. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Master of science program in Engineering And Management, 2020

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This list was generated on Tue Feb 10 20:47:57 2026 CET.