| Position bias in recommender systems for digital libraries A Collins, D Tkaczyk, A Aizawa, J Beel International Conference on Information, 335-344, 2018 | 92* | 2018 |
| Machine learning vs. rules and out-of-the-box vs. retrained: an evaluation of open-source bibliographic reference and citation parsers D Tkaczyk, A Collins, P Sheridan, J Beel Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018 | 83* | 2018 |
| A Novel Approach to Recommendation Algorithm Selection using Meta-Learning A Collins, D Tkaczyk, J Beel 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2018 | 50* | 2018 |
| Choice overload and recommendation effectiveness in related-article recommendations F Beierle, A Aizawa, A Collins, J Beel International Journal on Digital Libraries, 1-16, 2019 | 43* | 2019 |
| Document Embeddings vs. Keyphrases vs. Terms for Recommender Systems: A Large-Scale Online Evaluation A Collins, J Beel 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 130-133, 2019 | 25* | 2019 |
| RARD II: The 94 Million Related-Article Recommendation Dataset J Beel, B Smyth, A Collins 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in …, 2019 | 16* | 2019 |
| Online evaluations for everyone: Mr. DLib’s living lab for scholarly recommendations J Beel, A Collins, O Kopp, LW Dietz, P Knoth Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 13 | 2019 |
| GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing. M Grennan, M Schibel, A Collins, J Beel AICS, 260-271, 2019 | 12 | 2019 |
| Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering A Collins, L Tierney, J Beel arXiv preprint arXiv:2012.15151, 2020 | 9 | 2020 |
| A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems A Collins, J Beel Workshop on Recommendation in Complex Scenarios, 13th ACM Conference on …, 2019 | 9* | 2019 |
| Augmenting the DonorsChoose.org Corpus for Meta-Learning G Edenhofer, A Collins, A Aizawa, J Beel 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in …, 2019 | 7 | 2019 |
| Siamese Meta-Learning and Algorithm Selection with'Algorithm-Performance Personas'[Proposal] J Beel, B Tyrell, E Bergman, A Collins, S Nagoor arXiv preprint arXiv:2006.12328, 2020 | 5 | 2020 |
| Who Did What? Identifying Author Contributions in Biomedical Publications using Naïve Bayes D Tkaczyk, A Collins, J Beel Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018 | 3 | 2018 |
| NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts D Tkaczyk, A Collins, J Beel 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science …, 2019 | 2* | 2019 |
| Mr. DLib’s Architecture for Scholarly Recommendations-as-a-Service J Beel, A Collins, A Aizawa 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2018 | 2* | 2018 |
| The Irish Government’s Expenditure on Children in 2019: A Pilot Study of the Department of Children and Youth Affairs G Collins, L Tully, J McCarthy, D Quinn-Hemmings, N Tickner, Z Matthews, ... Department of Public Expenditure and Reform, 2022 | | 2022 |
| GIANT: The 1-Billion Annotated Bibliographic-Reference-String Dataset for Deep Citation Parsing M Grennan, M Schibel, A Collins, J Beel 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science …, 2019 | | 2019 |
Joeran BeelUniversity of Siegen (previously NII Tokyo, Trinity College Dublin, UC Berkeley, ...)在 berkeley.edu 的电子邮件经过验证
