| 2014 | ESANN | An application of the temporal difference algorithm to the truck backer-upper problem. | Christopher J. Gatti, Mark J. Embrechts |
| 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 | CIDM | Opening black box Data Mining models using Sensitivity Analysis. | Paulo Cortez, Mark J. Embrechts |
| 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 | ICANN | Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. | Lus A. Alexandre, Mark J. Embrechts |
| 2009 | ICANN | On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. | Jorge M. Santos, Mark J. Embrechts |
| 2009 | IJCNN | Benchmarking reservoir computing on time-independent classification tasks. | Lus A. Alexandre, Mark J. Embrechts, Jonathan D. Linton |
| 2008 | ICANN | The Influence of the Risk Functional in Data Classification with MLPs. | Lus M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de S |
| 2007 | ICANN | Automated Text Categorization Based on Readability Fingerprints. | Mark J. Embrechts, Jonathan D. Linton, Walter F. L. Bogaerts, Bram Heyns, Paul F. Evangelista |
| 2007 | ICANN | Some Properties of the Gaussian Kernel for One Class Learning. | Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski |
| 2007 | ICANN | Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR). | Changjian Huang, Mark J. Embrechts, Nagamani Sukumar, Curt M. Breneman |
| 2006 | ESANN | Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms. | Long Han, Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Alexander Ross |
| 2006 | IJCNN | Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions. | Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski |
| 2006 | IJCNN | Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra. | Long Han, Mark J. Embrechts, Yunqing Chen, Xicheng Zhang |
| 2005 | ESANN | unsupervised fuzzy ensembles and their use in intrusion detection. | Paul F. Evangelista, Piero P. Bonissone, Mark J. Embrechts, Boleslaw K. Szymanski |
| 2005 | IJCNN | Fuzzy ROC curves for unsupervised nonparametric ensemble techniques. | Paul F. Evangelista, Mark J. Embrechts, Piero P. Bonissone, Boleslaw K. Szymanski |
| 2004 | CBMS | Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. | Walker H. Land Jr., Lut Wong, Daniel W. McKee, Mark J. Embrechts, Rizly Salih, Frances R. Anderson |
| 2004 | IJCNN | Direct kernel least-squares support vector machines with heuristic regularization. | Mark J. Embrechts |
| 2003 | IJCNN | Simulation of the visual cortex with laterally connected spiking neural networks. | Jianguo Xin, Mark J. Embrechts |
| 2003 | SMC | Use of machine learning for classification of magnetocardiograms. | Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Thanakorn Naenna, Ramathilagam Bragaspathi |
| 2003 | SMC | New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents. | Walker H. Land Jr., Dale Leibensperger, Lut Wong, Omowunmi Sadik, A. Wanekeyab, Michiko Uematsu, Mark J. Embrechts |
| 2002 | KDD | MARK: a boosting algorithm for heterogeneous kernel models. | Kristin P. Bennett, Michinari Momma, Mark J. Embrechts |
| 2001 | EMO | Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. | Neil H. W. Eklund, Mark J. Embrechts |
| 2001 | SMC | Computational intelligence for data mining. | Mark J. Embrechts |
| 2000 | IJCNN | Phoneme Recognition with Staged Neural Networks. | Fabio A. Arciniegas, Mark J. Embrechts |
| 2000 | IJCNN | Supervised Scaled Regression Clustering: An Alternative to Neural Networks. | Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert |
| 2000 | SMC | Neural networks for text-to-speech phoneme recognition. | Mark J. Embrechts, Fabio A. Arciniegas |
| 1998 | SMC | Fuzzy-genetic decision optimization for positioning of military combat units. | Robert H. Kewley, Mark J. Embrechts |