| Stock embeddings: Learning distributed representations for financial assets R Dolphin, B Smyth, R Dong arXiv preprint arXiv:2202.08968, 2022 | 12 | 2022 |
| A machine learning approach to industry classification in financial markets R Dolphin, B Smyth, R Dong Irish Conference on Artificial Intelligence and Cognitive Science, 81-94, 2022 | 11* | 2022 |
| Measuring financial time series similarity with a view to identifying profitable stock market opportunities R Dolphin, B Smyth, Y Xu, R Dong International Conference on Case-Based Reasoning, 64-78, 2021 | 11 | 2021 |
| A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation R Dolphin, B Smyth, R Dong International Conference on Case-Based Reasoning, 375-390, 2023 | 6* | 2023 |
| Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach R Dolphin, J Dursun, J Chow, J Blankenship, K Adams, Q Pike arXiv preprint arXiv:2407.15788, 2024 | 3 | 2024 |
| Combining Student-Led Lab Activities with Computational Practices to Promote Sensemaking in Financial Mathematics A Perrotta, R Dolphin Proceedings of the Eighth Conference on Research in Mathematics Education in …, 2021 | 2 | 2021 |
| Evaluating Financial Relational Graphs: Interpretation Before Prediction Y Niu, L Lu, R Dolphin, V Poti, R Dong Proceedings of the 5th ACM International Conference on AI in Finance, 564-572, 2024 | | 2024 |
| Contrastive Learning of Asset Embeddings from Financial Time Series R Dolphin, B Smyth, R Dong Proceedings of the 5th ACM International Conference on AI in Finance, 379-387, 2024 | | 2024 |
Ruihai DongUCDVerified email at ucd.ie
