| Explainable machine learning exploiting news and domain-specific lexicon for stock market forecasting SM Carta, S Consoli, L Piras, AS Podda, DR Recupero IEEE Access 9, 30193-30205, 2021 | 65 | 2021 |
| Recommender system lets coaches identify and help athletes who begin losing motivation P Pilloni, L Piras, S Carta, G Fenu, F Mulas, L Boratto Computer 51 (3), 36-42, 2018 | 18 | 2018 |
| Recommendation in persuasive eHealth systems: An effective strategy to spot users' losing motivation to exercise P Pilloni, L Piras, L Boratto, S Carta, G Fenu, F Mulas CEUR Workshop Proceedings 1953, 6-9, 2017 | 15 | 2017 |
| Event detection in finance using hierarchical clustering algorithms on news and tweets S Carta, S Consoli, L Piras, AS Podda, DR Recupero PeerJ Computer Science 7, e438, 2021 | 14 | 2021 |
| Dynamic industry-specific lexicon generation for stock market forecast S Carta, S Consoli, L Piras, AS Podda, D Reforgiato Recupero International conference on machine learning, optimization, and data science …, 2020 | 8 | 2020 |
| Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification L Piras, L Boratto, G Ramos Proceedings of the 30th ACM International Conference on Information …, 2021 | 2 | 2021 |
| Employing Document Embeddings to Solve the “New Catalog” Problem in User Targeting, and Provide Explanations to the Users L Boratto, S Carta, G Fenu, L Piras Advances in Information Retrieval: 40th European Conference on IR Research …, 2018 | | 2018 |
| Recommending Friends by Identifying Latent Similarities in Social Environments R Saia, L Piras, S Carta | | |
