| Dimensionality reduction via sparse support vector machines J Bi, K Bennett, M Embrechts, C Breneman, M Song Journal of Machine Learning Research 3 (Mar), 1229-1243, 2003 | 629 | 2003 |
| On the use of the adjusted rand index as a metric for evaluating supervised classification JM Santos, M Embrechts International conference on artificial neural networks, 175-184, 2009 | 592 | 2009 |
| Exchange rate theory: chaotic models of foreign exchange markets P De Grauwe, H Dewachter, M Embrechts Blackwell, 1995 | 576 | 1995 |
| Using sensitivity analysis and visualization techniques to open black box data mining models P Cortez, MJ Embrechts Information Sciences 225, 1-17, 2013 | 514 | 2013 |
| Semi-supervised clustering using genetic algorithms A Demiriz, KP Bennett, MJ Embrechts Artificial neural networks in engineering (ANNIE-99), 809-814, 1999 | 454 | 1999 |
| Network-based intrusion detection using neural networks A Bivens, C Palagiri, R Smith, B Szymanski, M Embrechts Intelligent Engineering Systems through Artificial Neural Networks 12 (1 …, 2002 | 285 | 2002 |
| Data strip mining for the virtual design of pharmaceuticals with neural networks RH Kewley, MJ Embrechts, C Breneman IEEE Transactions on Neural Networks 11 (3), 668-679, 2000 | 197 | 2000 |
| Opening black box data mining models using sensitivity analysis P Cortez, MJ Embrechts 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011 | 189 | 2011 |
| Supervised learning with spiking neural networks J Xin, MJ Embrechts IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 154 | 2001 |
| An optimization perspective on kernel partial least squares regression KP Bennett, MJ Embrechts Nato Science Series sub series III computer and systems sciences 190, 227-250, 2003 | 150 | 2003 |
| Clustering approaches for anomaly based intrusion detection R Smith, A Bivens, M Embrechts, C Palagiri, B Szymanski Proceedings of intelligent engineering systems through artificial neural …, 2002 | 134 | 2002 |
| MARK: A boosting algorithm for heterogeneous kernel models KP Bennett, M Momma, MJ Embrechts Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 119 | 2002 |
| Predicting protein− ligand binding affinities using novel geometrical descriptors and machine-learning methods W Deng, C Breneman, MJ Embrechts Journal of chemical information and computer sciences 44 (2), 699-703, 2004 | 118 | 2004 |
| Data mining techniques applied to medical information IN Lee, SC Liao, M Embrechts Medical informatics and the Internet in medicine 25 (2), 81-102, 2000 | 118 | 2000 |
| Some properties of the Gaussian kernel for one class learning PF Evangelista, MJ Embrechts, BK Szymanski Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 97 | 2007 |
| Hybrid identification of nuclear power plant transients with artificial neural networks MJ Embrechts, S Benedek IEEE Transactions on Industrial Electronics 51 (3), 686-693, 2004 | 97 | 2004 |
| Cellular automata modeling of pedestrian movements VJ Blue, MJ Embrechts, JL Adler 1997 IEEE international conference on systems, man, and cybernetics …, 1997 | 95 | 1997 |
| Taming the curse of dimensionality in kernels and novelty detection PF Evangelista, MJ Embrechts, BK Szymanski Applied soft computing technologies: The challenge of complexity, 425-438, 2006 | 90 | 2006 |
| Special issue on neural networks for data mining and knowledge discovery Y Bengio, J Buhmann, Y Abu-Mostafa, M Embrechts, J Zurada IEEE Transactions on Neural Networks 11 (3), 545-822, 2000 | 84 | 2000 |
| Computational military tactical planning system RH Kewley, MJ Embrechts IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2002 | 79 | 2002 |
