15 citations · 46 across the 11 of their papers we have counts for
6 papers · 1 filter
Finite Group Equivariant Neural Networks for Games
Oisín Carroll, Joeran Beel
Games such as go, chess and checkers have multiple equivalent game states, i.e. multiple board positions where symmetrical and opposite moves should be made. These equivalences are…
Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal]
Joeran Beel, Bryan Tyrell, Edward Bergman +2
Automated per-instance algorithm selection often outperforms single learners. Key to algorithm selection via meta-learning is often the (meta) features, which sometimes though do n…
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
Mark Grennan, Joeran Beel
Citation parsing, particularly with deep neural networks, suffers from a lack of training data as available datasets typically contain only a few thousand training instances. Manua…
Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights
Conor O'Sullivan, Joeran Beel
In this study, machine learning models were constructed to predict whether judgments made by the European Court of Human Rights (ECHR) would lead to a violation of an Article in th…
Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football
Nicholas Bonello, Joeran Beel, Seamus Lawless +1
Fantasy Premier League (FPL) performance predictors tend to base their algorithms purely on historical statistical data. The main problems with this approach is that external facto…
Memory-Augmented Neural Networks for Machine Translation
Mark Collier, Joeran Beel
Memory-augmented neural networks (MANNs) have been shown to outperform other recurrent neural network architectures on a series of artificial sequence learning tasks, yet they have…