| Deep learning and time series-to-image encoding for financial forecasting S Barra, SM Carta, A Corriga, AS Podda, DR Recupero IEEE/CAA Journal of Automatica Sinica 7 (3), 683-692, 2020 | 234 | 2020 |
| A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning S Carta, A Corriga, A Ferreira, AS Podda, DR Recupero Applied Intelligence 51, 889-905, 2021 | 134 | 2021 |
| A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. S Carta, A Corriga, R Mulas, DR Recupero, R Saia KDIR, 105-112, 2019 | 47 | 2019 |
| A holistic auto-configurable ensemble machine learning strategy for financial trading S Carta, A Corriga, A Ferreira, DR Recupero, R Saia Computation 7 (4), 67, 2019 | 14 | 2019 |
| Reforgiato Recupero, D. Deep Learning and Time Series-to-Image Encoding for Financial Forecasting S Barra, SM Carta, A Corriga, AS Podda IEEE/CAA J. Autom. Sinica 7, 683, 2020 | 6 | 2020 |
| HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting S Carta, S Consoli, A Corriga, R Dapiaggi, AS Podda, ... Proceedings of the 4th International Conference on Future Networks and …, 2020 | 5 | 2020 |
| Deep learning and time series-to-image encoding for financial forecasting. IEEE/CAA J Autom Sin 7 (3): 683-692 S Barra, SM Carta, A Corriga, AS Podda, DR Recupero | 5 | 2020 |
| Leveraging Cognitive Computing for Gender and Emotion Detection. A Corriga, S Cusimano, FM Malloci, L Marchesi, DR Recupero EMSASW@ ESWC, 47-56, 2018 | 2 | 2018 |
| LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models SM Carta, S Chessa, G Contu, A Corriga, A Deidda, G Fenu, L Frigau, ... arXiv preprint arXiv:2411.13453, 2024 | | 2024 |
| Artificial Intelligence Approaches Applied To The Financial Forecasting Domain A Corriga Università degli Studi di Cagliari, 2022 | | 2022 |