Domenico Santoro

Domenico Santoro

Ricercatore Tenure Track (RTT) | STAT-04/A

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Pages

Posts

Future Blog Post

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Blog Post number 4

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Blog Post number 3

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Blog Post number 2

less than 1 minute read

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Blog Post number 1

less than 1 minute read

Published:

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portfolio

publications

Generative adversarial network for market hourly discrimination

Published in Proceedings of the 3rd International Conference on Mathematical and Related Sciences (ICMRS 2020), 2020

Recommended citation: Grilli, L., & Santoro, D. (2020). "Generative adversarial network for market hourly discrimination." Proceedings of the 3rd International Conference on Mathematical and Related Sciences (ICMRS 2020), pp. 106–113.
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Machine-deep learning and finance: A review of recent results

Published in Proceedings of the 4th International Conference on Mathematical and Related Sciences (ICMRS 2021), 2021

Recommended citation: Grilli, L., & Santoro, D. (2021). "Machine-deep learning and finance: A review of recent results." Proceedings of the 4th International Conference on Mathematical and Related Sciences (ICMRS 2021).
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A statistical ensemble based approach for entropy in cryptocurrencies markets

Published in Proceedings of the 13th International Chaotic Modeling and Simulation International Conference, 2021

Recommended citation: Grilli, L., & Santoro, D. (2021). "A statistical ensemble based approach for entropy in cryptocurrencies markets." Proceedings of the 13th International Chaotic Modeling and Simulation International Conference, p. 1091.

Deep learning for knowledge tracing in learning analytics: An overview

Published in Proceedings of the First Workshop on Technology Enhanced Learning Environments for Blended Education (teleXbe 2021), 2021

Recommended citation: Casalino, G., Grilli, L., Limone, P., Santoro, D., & Schicchi, D. (2021). "Deep learning for knowledge tracing in learning analytics: An overview." Proceedings of the First Workshop on Technology Enhanced Learning Environments for Blended Education (teleXbe 2021), Vol. 2817, CEUR Workshop Proceedings.
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Real R&D options under sentimental information analysis

Published in MAF 2022 – Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2022

Recommended citation: Santoro, D., & Villani, G. (2022). "Real R&D options under sentimental information analysis." In M. Corazza (Ed.), MAF 2022 – Mathematical and Statistical Methods for Actuarial Sciences and Finance, Chap. 67, pp. 1–6. Springer Nature Switzerland AG.
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On the efficacy of ‘herd behavior’ in the commodities market: A neuro-fuzzy agent ‘herding’ on deep learning traders

Published in Applied Stochastic Models in Business and Industry, 2023

Recommended citation: Guarino, A., Grilli, L., Santoro, D., Messina, F., & Zaccagnino, R. (2024). "On the efficacy of 'herd behavior' in the commodities market: A neuro-fuzzy agent 'herding' on deep learning traders." Applied Stochastic Models in Business and Industry, 40(2), 348–372. https://doi.org/10.1002/asmb.2793
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Harnessing the power of blockchain in the agri-food sector: a meta-analysis of current research and best practices

Published in Applied Mathematical Sciences, 2023

Recommended citation: Cappelletti, M. G., Caputo, R., Cariglia, M., Grilli, L., Russo, C., Santoro, D., & Sgarro, G. A. (2023). "Harnessing the power of blockchain in the agri-food sector: a meta-analysis of current research and best practices." Applied Mathematical Sciences, 17(10), 477–501. https://doi.org/10.12988/ams.2023.917473
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A Combination of NLP and Monte Carlo Technique to Improve Wind Investment Decisions

Published in MAF 2024 – Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2024

Recommended citation: Di Bari, A., Grilli, L., Santoro, D., & Villani, G. (2024). "A Combination of NLP and Monte Carlo Technique to Improve Wind Investment Decisions." In M. Corazza et al. (Eds.), Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF 2024). Springer, Cham. https://doi.org/10.1007/978-3-031-64273-9_20
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A new methodology to support wind investment decision: a combination of natural language processing and Monte Carlo option pricing technique

Published in Decisions in Economics and Finance, 2024

Recommended citation: Di Bari, A., Grilli, L., Santoro, D., & Villani, G. (2024). "A new methodology to support wind investment decision: a combination of natural language processing and Monte Carlo option pricing technique." Decisions in Economics and Finance. https://doi.org/10.1007/s10203-024-00486-6
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MCMC Approach for Stock Price Forecasting Using an Italian-BERT Model

Published in SIS 2024 – Methodological and Applied Statistics and Demography II, 2025

Recommended citation: Santoro, D., Grilli, L., Sgarro, G. A., Colasanto, F., & Villani, G. (2025). "MCMC Approach for Stock Price Forecasting Using an Italian-BERT Model." In A. Pollice & P. Mariani (Eds.), Methodological and Applied Statistics and Demography II (SIS 2024). Springer, Cham. https://doi.org/10.1007/978-3-031-64350-7_96
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Comparing Distance- and CO₂-Optimized Heuristics and Metaheuristics for the Multi-Depot Capacitated Vehicle Routing Problem in Agricultural Logistics

Published in 11th International Conference on Economics, Business & Management (ICEBM), 2025

Recommended citation: Sgarro, G. A., Santoro, D., Colasanto, F., Grilli, L., Russo, C., Cappelletti, G. M., Cusenza, M., & Vairo, A. (2025). "Comparing Distance- and CO₂-Optimized Heuristics and Metaheuristics for the Multi-Depot Capacitated Vehicle Routing Problem in Agricultural Logistics." Proceedings of the 11th International Conference on Economics, Business & Management (ICEBM), pp. 240–250. https://doi.org/10.56065/ICEBM2025.240
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Identifying risk patterns for sudden cardiac death in athletes: A clustering and principal component analysis approach

Published in PLOS ONE, 2026

Recommended citation: Sgarro, G. A., Vasco, P., Santoro, D., Grilli, L., Giglio, M., Brunetti, N. D., Traetta, L., Cibelli, G., & Valenzano, A. A. (2026). "Identifying risk patterns for sudden cardiac death in athletes: A clustering and principal component analysis approach." PLOS ONE, 21(1): e0339377. https://doi.org/10.1371/journal.pone.0339377
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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