| 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 | 167 | 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 | 107 | 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 | 36 | 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 |
| Diego Reforgiato Recupero, and Roberto Saia. 2019 S Carta, A Corriga, A Ferreira A Holistic Auto-Configurable Ensemble Machine Learning Strategy for …, 2019 | 4 | 2019 |
| 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 | 3 | 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 |
| Artificial Intelligence Approaches Applied To The Financial Forecasting Domain A Corriga Università degli Studi di Cagliari, 2022 | | 2022 |
