Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000 | 592 | 2000 |
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner Proceedings of the first international workshop on mining graphs, trees and …, 2003 | 315 | 2003 |
Multi instance neural networks J Ramon, L De Raedt Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000 | 242 | 2000 |
Improving the efficiency of inductive logic programming through the use of query packs H Blockeel, L Dehaspe, B Demoen, G Janssens, J Ramon, ... Journal of Artificial Intelligence Research 16, 135-166, 2002 | 165 | 2002 |
Machine learning techniques to examine large patient databases G Meyfroidt, F Güiza, J Ramon, M Bruynooghe Best Practice & Research Clinical Anaesthesiology 23 (1), 127-143, 2009 | 148 | 2009 |
Frequent subgraph mining in outerplanar graphs T Horváth, J Ramon, S Wrobel Data Mining and Knowledge Discovery 21 (3), 472-508, 2010 | 130 | 2010 |
Hierarchical multi-classification H Blockeel, M Bruynooghe, S Džeroski, J Ramon, J Struyf Workshop Notes of the KDD'02 Workshop on Multi-Relational Data Mining, 21-35, 2002 | 127 | 2002 |
A polynomial time computable metric between point sets J Ramon, M Bruynooghe Acta Informatica 37 (10), 765-780, 2001 | 117 | 2001 |
Speeding up relational reinforcement learning through the use of an incremental first order decision tree learner K Driessens, J Ramon, H Blockeel European Conference on Machine Learning, 97-108, 2001 | 116 | 2001 |
Mining data from intensive care patients J Ramon, D Fierens, F Güiza, G Meyfroidt, H Blockeel, M Bruynooghe, ... Advanced Engineering Informatics 21 (3), 243-256, 2007 | 113 | 2007 |
Transfer learning in reinforcement learning problems through partial policy recycling J Ramon, K Driessens, T Croonenborghs European conference on machine learning, 699-707, 2007 | 103 | 2007 |
Relational instance based regression for relational reinforcement learning K Driessens, J Ramon Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 101 | 2003 |
Monte-Carlo tree search in poker using expected reward distributions GV Broeck, K Driessens, J Ramon Asian Conference on Machine Learning, 367-381, 2009 | 92 | 2009 |
Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases K Williams, E Bilsland, A Sparkes, W Aubrey, M Young, LN Soldatova, ... Journal of the Royal society Interface 12 (104), 20141289, 2015 | 89 | 2015 |
Logical Bayesian networks and their relation to other probabilistic logical models D Fierens, H Blockeel, M Bruynooghe, J Ramon International Conference on Inductive Logic Programming, 121-135, 2005 | 86 | 2005 |
Graph kernels and gaussian processes for relational reinforcement learning T Gärtner, K Driessens, J Ramon International Conference on Inductive Logic Programming, 146-163, 2003 | 85 | 2003 |
A framework for defining distances between first-order logic objects J Ramon, M Bruynooghe International Conference on Inductive Logic Programming, 271-280, 1998 | 72 | 1998 |
Executing query packs in ILP H Blockeel, L Dehaspe, B Demoen, G Janssens, J Ramon, ... International Conference on Inductive Logic Programming, 60-77, 2000 | 68 | 2000 |
Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64 (1), 91-119, 2006 | 67 | 2006 |
Clustering and instance based learning in first order logic J Ramon AI Communications 15 (4), 217-218, 2002 | 65 | 2002 |