CORRIGA, ANDREA
CORRIGA, ANDREA
DIPARTIMENTO DI MATEMATICA ED INFORMATICA
Artificial Intelligence Approaches Applied To The Financial Forecasting Domain
2022-02-24
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning
2021-01-01 Carta, SALVATORE MARIO; Corriga, Andrea; Ferreira, Anselmo; Podda, ALESSANDRO SEBASTIAN; Diego, Reforgiato
Deep learning and time series-to-image encoding for financial forecasting
2020-01-01 Barra, S.; Carta, S. M.; Corriga, A.; Podda, A. S.; Reforgiato Recupero, D.
HawkEye: A visual framework for agile cross-validation of deep learning approaches in financial forecasting
2020-01-01 Carta, S.; Consoli, S.; Corriga, A.; Dapiaggi, R.; Podda, A. S.; Reforgiato Recupero, D.
A holistic auto-configurable ensemble machine learning strategy for financial trading
2019-01-01 Carta, S.; Corriga, A.; Ferreira, A.; Recupero, D. R.; Saia, R.
A supervised multi-class multi-label word embeddings approach for toxic comment classification
2019-01-01 Carta, S.; Corriga, A.; Mulas, R.; Reforgiato Recupero, D.; Saia, R.
Leveraging cognitive computing for gender and emotion detection
2018-01-01 Corriga, Andrea; Cusimano, Simone; Malloci, FRANCESCA MARIDINA; Marchesi, Lodovica; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Artificial Intelligence Approaches Applied To The Financial Forecasting Domain | 24-feb-2022 | - | - | Università degli Studi di Cagliari |
| A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning | 1-gen-2021 | Carta, SALVATORE MARIO; Corriga, Andrea; Ferreira, Anselmo; Podda, ALESSANDRO SEBASTIAN; Diego, Reforgiato | APPLIED INTELLIGENCE | - |
| Deep learning and time series-to-image encoding for financial forecasting | 1-gen-2020 | Barra, S.; Carta, S. M.; Corriga, A.; Podda, A. S.; Reforgiato Recupero, D. | IEEE/CAA JOURNAL OF AUTOMATICA SINICA | - |
| HawkEye: A visual framework for agile cross-validation of deep learning approaches in financial forecasting | 1-gen-2020 | Carta, S.; Consoli, S.; Corriga, A.; Dapiaggi, R.; Podda, A. S.; Reforgiato Recupero, D. | - | Association for Computing Machinery |
| A holistic auto-configurable ensemble machine learning strategy for financial trading | 1-gen-2019 | Carta, S.; Corriga, A.; Ferreira, A.; Recupero, D. R.; Saia, R. | COMPUTATION | - |
| A supervised multi-class multi-label word embeddings approach for toxic comment classification | 1-gen-2019 | Carta, S.; Corriga, A.; Mulas, R.; Reforgiato Recupero, D.; Saia, R. | - | SciTePress |
| Leveraging cognitive computing for gender and emotion detection | 1-gen-2018 | Corriga, Andrea; Cusimano, Simone; Malloci, FRANCESCA MARIDINA; Marchesi, Lodovica; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | - | - |