Mark Embrechts
Mark Embrechts
Chief Science Officer, CardioMag Imaging, Inc. and Professor of Mechanical Aerospace and Nuclear
Email confirmado em rpi.edu
TítuloCitado porAno
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
5192003
Exchange rate theory: chaotic models of foreign exchange markets
P De Grauwe, H Dewachter, M Embrechts
Blackwell, 1995
4921995
Semi-supervised clustering using genetic algorithms
A Demiriz, KP Bennett, MJ Embrechts
Artificial neural networks in engineering (ANNIE-99), 809-814, 1999
3901999
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
2052009
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
2052002
Using sensitivity analysis and visualization techniques to open black box data mining models
P Cortez, MJ Embrechts
Information Sciences 225, 1-17, 2013
1782013
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
1422000
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
1322003
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
972002
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
932000
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
892002
Supervised learning with spiking neural networks
J Xin, MJ Embrechts
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
882001
Special issue on ‘Neural Networks for Data Mining and Knowledge Discovery’
Y Bengio, JM Buhmann, M Embrechts, JM Zurada
IEEE Transactions on Neural Networks 11 (3), 545-822, 2000
772000
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
712004
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
712004
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
652007
Cellular automata modeling of pedestrian movements
VJ Blue, MJ Embrechts, JL Adler
1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997
651997
Computational military tactical planning system
RH Kewley, MJ Embrechts
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2002
642002
Compact reversed-field pinch reactors (CRFPR): preliminary engineering considerations
RL Hagenson, RA Krakowski, CG Bathke, RL Miller, MJ Embrechts, ...
Los Alamos National Lab., NM (USA), 1984
611984
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
592006
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