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Publications of Author

1. Walker H. Land Jr., Lut Wong, Dan McKee, Mark J. Embrechts, Rizly Salih, Frances Anderson
   Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. [Citation Graph (0, 0)][DBLP]
   CBMS, 2004, pp:224-0 [Conf]
   
2. Neil H. Eklund, Mark J. Embrechts
   Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. [Citation Graph (0, 0)][DBLP]
   EMO, 2001, pp:603-611 [Conf]
   
3. Paul F. Evangelista, Piero P. Bonissone, Mark J. Embrechts, Boleslaw K. Szymanski
   unsupervised fuzzy ensembles and their use in intrusion detection. [Citation Graph (0, 0)][DBLP]
   ESANN, 2005, pp:345-350 [Conf]
   
4. Long Han, Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Alexander Ross
   Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:221-226 [Conf]
   
5. Fabio Arciniegas, Mark J. Embrechts
   Phoneme Recognition with Staged Neural Networks. [Citation Graph (0, 0)][DBLP]
   IJCNN (5), 2000, pp:259-264 [Conf]
   
6. Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert
   Supervised Scaled Regression Clustering: An Alternative to Neural Networks. [Citation Graph (0, 0)][DBLP]
   IJCNN (6), 2000, pp:571-576 [Conf]
   
7. Kristin P. Bennett, Michinari Momma, Mark J. Embrechts
   MARK: a boosting algorithm for heterogeneous kernel models. [Citation Graph (0, 0)][DBLP]
   KDD, 2002, pp:24-31 [Conf]
   
8. Curt M. Breneman, C. Matthew Sundling, Nagamani Sukumar, Lingling Shen, William P. Katt, Mark J. Embrechts
   New developments in PEST shape/property hybrid descriptors. [Citation Graph (0, 0)][DBLP]
   Journal of Computer-Aided Molecular Design, 2003, v:17, n:2-4, pp:231-240 [Journal]
   
9. Wei Deng, Curt M. Breneman, Mark J. Embrechts
   Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Modeling, 2004, v:44, n:2, pp:699-703 [Journal]
   
10. Omowunmi Sadik, Walker H. Land Jr., Adam K. Wanekaya, Michiko Uematsu, Mark J. Embrechts, Lut Wong, Dale Leibensperger, Alex Volykin
    Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:2, pp:499-507 [Journal]
    
11. Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song
    Dimensionality Reduction via Sparse Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1229-1243 [Journal]
    
12. Robert H. Kewley, Mark J. Embrechts
    Computational military tactical planning system. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2002, v:32, n:2, pp:161-171 [Journal]
    
13. I. E. A. Rueda, Fabio Arciniegas, Mark J. Embrechts
    SVM sensitivity analysis: an application to currency crises aftermaths. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2004, v:34, n:3, pp:387-398 [Journal]
    
14. Mark J. Embrechts, Jonathan Linton, Walter F. L. Bogaerts, Bram Heyns, Paul F. Evangelista
    Automated Text Categorization Based on Readability Fingerprints. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:408-416 [Conf]
    
15. Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
    Some Properties of the Gaussian Kernel for One Class Learning. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:269-278 [Conf]
    
16. Changjian Huang, Mark J. Embrechts, Nagamani Sukumar, Curt M. Breneman
    Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR). [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:628-637 [Conf]
    
17. 
    Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. [Citation Graph (, )][DBLP]
    
    
18. 
    Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra. [Citation Graph (, )][DBLP]
    
    
19. 
    Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions. [Citation Graph (, )][DBLP]
    
    
20. 
    Taming the Curse of Dimensionality in Kernels and Novelty Detection. [Citation Graph (, )][DBLP]