2008 |
20 | EE | Ismael E. Arciniegas Rueda,
Fabio A. Arciniegas,
Mark J. Embrechts:
Analyzing currency crises' real effects with partial least squares sensitivity analysis.
Intell. Data Anal. 12(1): 103-128 (2008) |
2007 |
19 | EE | Paul F. Evangelista,
Mark J. Embrechts,
Boleslaw K. Szymanski:
Some Properties of the Gaussian Kernel for One Class Learning.
ICANN (1) 2007: 269-278 |
18 | EE | Changjian Huang,
Mark J. Embrechts,
Nagamani Sukumar,
Curt M. Breneman:
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR).
ICANN (1) 2007: 628-637 |
17 | EE | Mark J. Embrechts,
Jonathan Linton,
Walter F. L. Bogaerts,
Bram Heyns,
Paul F. Evangelista:
Automated Text Categorization Based on Readability Fingerprints.
ICANN (2) 2007: 408-416 |
2006 |
16 | EE | Long Han,
Mark J. Embrechts,
Boleslaw K. Szymanski,
Karsten Sternickel,
Alexander Ross:
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms.
ESANN 2006: 221-226 |
15 | EE | Paul F. Evangelista,
Mark J. Embrechts,
Boleslaw K. Szymanski:
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions.
IJCNN 2006: 2166-2173 |
14 | EE | Long Han,
Mark J. Embrechts,
Yunqing Chen,
Xi-Cheng Zhang:
Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra.
IJCNN 2006: 3181-3187 |
2005 |
13 | EE | Paul F. Evangelista,
Piero P. Bonissone,
Mark J. Embrechts,
Boleslaw K. Szymanski:
unsupervised fuzzy ensembles and their use in intrusion detection.
ESANN 2005: 345-350 |
2004 |
12 | EE | 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.
CBMS 2004: 224- |
11 | EE | Paul F. Evangelista,
Mark J. Embrechts,
Boleslaw K. Szymanski:
Taming the Curse of Dimensionality in Kernels and Novelty Detection.
WSC 2004: 425-438 |
10 | EE | Ismael E. Arciniegas Rueda,
Fabio A. Arciniegas,
Mark J. Embrechts:
SVM sensitivity analysis: an application to currency crises aftermaths.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 34(3): 387-398 (2004) |
9 | EE | 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.
Journal of Chemical Information and Modeling 44(2): 499-507 (2004) |
8 | EE | Wei Deng,
Curt M. Breneman,
Mark J. Embrechts:
Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods.
Journal of Chemical Information and Modeling 44(2): 699-703 (2004) |
2003 |
7 | | Curt M. Breneman,
C. Matthew Sundling,
Nagamani Sukumar,
Lingling Shen,
William P. Katt,
Mark J. Embrechts:
New developments in PEST shape/property hybrid descriptors.
Journal of Computer-Aided Molecular Design 17(2-4): 231-240 (2003) |
6 | EE | Jinbo Bi,
Kristin P. Bennett,
Mark J. Embrechts,
Curt M. Breneman,
Minghu Song:
Dimensionality Reduction via Sparse Support Vector Machines.
Journal of Machine Learning Research 3: 1229-1243 (2003) |
2002 |
5 | EE | Kristin P. Bennett,
Michinari Momma,
Mark J. Embrechts:
MARK: a boosting algorithm for heterogeneous kernel models.
KDD 2002: 24-31 |
4 | | Robert H. Kewley,
Mark J. Embrechts:
Computational military tactical planning system.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 32(2): 161-171 (2002) |
2001 |
3 | EE | Neil H. Eklund,
Mark J. Embrechts:
Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources.
EMO 2001: 603-611 |
2000 |
2 | EE | Fabio A. Arciniegas,
Mark J. Embrechts:
Phoneme Recognition with Staged Neural Networks.
IJCNN (5) 2000: 259-264 |
1 | EE | Mark J. Embrechts,
Dirk Devogelaere,
Marcel Rijckaert:
Supervised Scaled Regression Clustering: An Alternative to Neural Networks.
IJCNN (6) 2000: 571-576 |