| On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles K Murray, A Rossi, D Carraro, A Visentin Forecasting 5 (1), 196-209, 2023 | 19 | 2023 |
| Debiased offline evaluation of recommender systems: A weighted-sampling approach D Carraro, D Bridge Proceedings of the 35th Annual ACM Symposium on Applied Computing, 1435-1442, 2020 | 14 | 2020 |
| A sampling approach to Debiasing the offline evaluation of recommender systems D Carraro, D Bridge Journal of Intelligent Information Systems, 1-26, 2022 | 8 | 2022 |
| Enhancing Recommendation Diversity by Re-ranking with Large Language Models D Carraro, D Bridge arXiv preprint arXiv:2401.11506, 2024 | 2 | 2024 |
| Active learning in recommender systems: an unbiased and beyond-accuracy perspective D Carraro University College Cork, 2020 | 2 | 2020 |
| Debiased offline evaluation of active learning in recommender systems D Carraro, D Bridge The Thirty-Third International Flairs Conference, 2020 | 2 | 2020 |
| A More Comprehensive Offline Evaluation of Active Learning in Recommender Systems D Carraro, D Bridge Procs. of the Workshop on Offline Evaluation for Recommender Systems …, 2018 | 2 | 2018 |
| Personalised programming education with knowledge tracing M Shaka, D Carraro, KN Brown ACM, Association for Computing Machinery, 2023 | | 2023 |
| Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting D Carraro, A Rossi, A Visentin, S Prestwich, KN Brown 2023 IEEE 31st International Conference on Network Protocols (ICNP), 1-6, 2023 | | 2023 |
| CouRGe: Counterfactual Reviews Generator for Sentiment Analysis D Carraro, KN Brown Irish Conference on Artificial Intelligence and Cognitive Science, 305-317, 2022 | | 2022 |
