| On technical trading and social media indicators for cryptocurrency price classification through deep learning M Ortu, N Uras, C Conversano, S Bartolucci, G Destefanis Expert Systems with Applications 198, 116804, 2022 | 99 | 2022 |
| Forecasting Bitcoin closing price series using linear regression and neural networks models N Uras, L Marchesi, M Marchesi, R Tonelli PeerJ Computer Science 6, e279, 2020 | 81 | 2020 |
| The butterfly “affect”: Impact of development practices on cryptocurrency prices S Bartolucci, G Destefanis, M Ortu, N Uras, M Marchesi, R Tonelli EPJ Data Science 9 (1), 21, 2020 | 41 | 2020 |
| Investigation of blockchain cryptocurrencies’ price movements through deep learning: a comparative analysis N Uras, M Ortu 2021 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 10 | 2021 |
| Investigation of mutual-influence among blockchain development communities and cryptocurrency price changes N Uras, S Vacca, G Destefanis Proceedings of the IEEE/ACM 42nd international conference on software …, 2020 | 6 | 2020 |
| Damage detection in composite materials by flexural dynamic excitation and accelerometer-based acquisition G Loi, N Uras, MC Porcu, F Aymerich IOP Conference Series: Materials Science and Engineering 1214 (1), 012007, 2022 | 4 | 2022 |
| Investigation of coronavirus impact on blockchain and cryptocurrencies markets S Vacca, CL Costerbosa, A Spada, G Riotta, N Uras 2021 IEEE/ACM 4th International Workshop on Emerging Trends in Software …, 2021 | 4 | 2021 |
| Noncommutative geometry of the quantum clock S Mignemi, N Uras Physics Letters A 383 (7), 585-588, 2019 | 4 | 2019 |
| Cryptocurrency Price Prediction Improvements Through Artificial Intelligence and Model Features Refinement N Uras Università degli Studi di Cagliari, 2022 | | 2022 |
| Nicola Uras1, 2, Lodovica Marchesi1, 2, Michele Marchesi1, and Roberto L Marchesi, N Uras | | |
