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Andrew Collins
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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
56*2018
Position bias in recommender systems for digital libraries
A Collins, D Tkaczyk, A Aizawa, J Beel
International Conference on Information, 335-344, 2018
46*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
42*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
33*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
17*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
14*2019
Online evaluations for everyone: Mr. dlib’s living lab for scholarly recommendations
J Beel, A Collins, O Kopp, LW Dietz, P Knoth
European Conference on Information Retrieval, 213-219, 2019
82019
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
8*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
62019
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering
A Collins, L Tierney, J Beel
arXiv preprint arXiv:2012.15151, 2020
52020
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
52019
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
42020
Who Did What? Identifying Author Contributions in Biomedical Publications using Naďve Bayes
D Tkaczyk, A Collins, J Beel
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018
32018
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
NaďveRole: 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
1*2019
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
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