Mark Embrechts
Mark Embrechts
Chief Science Officer, CardioMag Imaging, Inc. and Professor of Mechanical Aerospace and Nuclear
Verified email at rpi.edu
Title
Cited by
Cited by
Year
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
5682003
Exchange rate theory: chaotic models of foreign exchange markets
P De Grauwe, H Dewachter, M Embrechts
Blackwell, 1995
5201995
Semi-supervised clustering using genetic algorithms
A Demiriz, KP Bennett, MJ Embrechts
Artificial neural networks in engineering (ANNIE-99), 809-814, 1999
4171999
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
2872009
Using sensitivity analysis and visualization techniques to open black box data mining models
P Cortez, MJ Embrechts
Information Sciences 225, 1-17, 2013
2822013
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
2352002
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
1652000
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
1412003
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
1082002
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
1072002
Supervised learning with spiking neural networks
J Xin, MJ Embrechts
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
1072001
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
1002000
Opening black box data mining models using sensitivity analysis
P Cortez, MJ Embrechts
2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011
902011
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
882004
Some properties of the Gaussian kernel for one class learning
PF Evangelista, MJ Embrechts, BK Szymanski
International Conference on Artificial Neural Networks, 269-278, 2007
812007
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
802004
Special issue on ‘Neural Networks for Data Mining and Knowledge Discovery’
Y Bengio, JM Buhmann, YS Abu-Mostafa, M Embrechts, JM Zurada
IEEE Transactions on Neural Networks 11 (3), 545-822, 2000
792000
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
712006
Cellular automata modeling of pedestrian movements
VJ Blue, MJ Embrechts, JL Adler
1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997
691997
Computational military tactical planning system
RH Kewley, MJ Embrechts
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2002
662002
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