| 2013 | ESANN | Random Brains: An ensemble method for feature selection with neural networks. | Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos |
| 2013 | ESANN | An empirical analysis of reinforcement learning using design of experiments. | Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton |
| 2012 | ESANN | Hybrid hierarchical clustering: cluster assessment via cluster validation indices. | Mark J. Embrechts, Jonathan D. Linton, Christopher J. Gatti |
| 2012 | IJCNN | Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. | Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton, Thiemo Gruber, Bernhard Sick |
| 2011 | ESANN | A brief tutorial on reinforcement learning: The game of Chung Toi. | Christopher J. Gatti, Jonathan D. Linton, Mark J. Embrechts |
| 2011 | SMC | Reinforcement learning and the effects of parameter settings in the game of Chung Toi. | Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton |
| 2010 | ESANN | An augmented efficient backpropagation training strategy for deep autoassociative neural networks. | Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton |
| 2010 | IJCNN | Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks. | Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton |
| 2009 | ESANN | Reservoir computing for static pattern recognition. | Mark J. Embrechts, Lus A. Alexandre, Jonathan D. Linton |
| 2009 | IJCNN | Benchmarking reservoir computing on time-independent classification tasks. | Lus A. Alexandre, Mark J. Embrechts, Jonathan D. Linton |
| 2007 | ICANN | Automated Text Categorization Based on Readability Fingerprints. | Mark J. Embrechts, Jonathan D. Linton, Walter F. L. Bogaerts, Bram Heyns, Paul F. Evangelista |