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Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering


Dec 30, 2020
Andrew Collins, Laura Tierney, Joeran Beel


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Finite Group Equivariant Neural Networks for Games


Sep 10, 2020
Ois├şn Carroll, Joeran Beel


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Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies


Sep 07, 2020
Mohammed Al-Rawi, Joeran Beel


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Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization


Aug 19, 2020
Rohan Anand, Joeran Beel

* To be presented at RecSys '20 Fourteenth ACM Conference on Recommender Systems, September 21-26, 2020, Virtual Event 

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Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal]


Jun 23, 2020
Joeran Beel, Bryan Tyrell, Edward Bergman, Andrew Collins, Shahad Nagoor

* 7th Workshop on Automated Machine Learning (AutoML 2020) 

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Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and Cora


Apr 25, 2020
Mark Grennan, Joeran Beel


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Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights


Dec 16, 2019
Conor O'Sullivan, Joeran Beel

* 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science. 2019 

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Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football


Dec 16, 2019
Nicholas Bonello, Joeran Beel, Seamus Lawless, Jeremy Debattista

* 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science. 2019 

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NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts


Dec 15, 2019
Dominika Tkaczyk, Andrew Collins, Joeran Beel

* 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019 
* arXiv admin note: substantial text overlap with arXiv:1802.01174 

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