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ORCIDMark J. Embrechts
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2010 – 2019
- 2014
[j16]Mark J. Embrechts, Fabrice Rossi
, Frank-Michael Schleif, John Aldo Lee:
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013). Neurocomputing 141: 1-2 (2014)- [c37]Christopher J. Gatti, Mark J. Embrechts:
An application of the temporal difference algorithm to the truck backer-upper problem. ESANN 2014 - [c36]Jorge M. Santos, Mark J. Embrechts:
A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices. MCPR 2014: 41-50 - 2013
- [j15]Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts:
Discussion of Kapsiz, M., Durat, M., Ficici, F. (2011). Friction and wear studies between cylinder liner and piston ring pair using Taguchi design method. Advances in Engineering Software, 42(8), 595-603. Adv. Eng. Softw. 64: 71-73 (2013) - [j14]Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts:
Erratum to "Multi-attribute decision making for green electrical discharge machining" [Expert Syst. Appl. 38(7) (2011) 8370-8374]. Expert Syst. Appl. 40(4): 1407 (2013) - [j13]Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts:
Erratum to "Taguchi-fuzzy multi output optimization (MOO) in high speed CNC turning of AISI P-20 tool steel" [Exp. Syst. Appl. 38(6) (2011) 6822-6828]. Expert Syst. Appl. 40(4): 1408-1409 (2013) - [j12]Paulo Cortez, Mark J. Embrechts:
Using sensitivity analysis and visualization techniques to open black box data mining models. Inf. Sci. 225: 1-17 (2013) - [c35]Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos:
Random Brains: An ensemble method for feature selection with neural networks. ESANN 2013 - [c34]Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton:
An empirical analysis of reinforcement learning using design of experiments. ESANN 2013 - 2012
- [c33]Mark J. Embrechts, Jonathan D. Linton, Christopher J. Gatti:
Hybrid hierarchical clustering: cluster assessment via cluster validation indices. ESANN 2012 - [c32]Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton, Thiemo Gruber, Bernhard Sick:
Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. IJCNN 2012: 1-8 - 2011
- [c31]Paulo Cortez, Mark J. Embrechts:
Opening black box Data Mining models using Sensitivity Analysis. CIDM 2011: 341-348 - [c30]Christopher J. Gatti, Jonathan D. Linton, Mark J. Embrechts:
A brief tutorial on reinforcement learning: The game of Chung Toi. ESANN 2011 - [c29]Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton:
Reinforcement learning and the effects of parameter settings in the game of Chung Toi. SMC 2011: 3530-3535 - 2010
- [c28]Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton:
An augmented efficient backpropagation training strategy for deep autoassociative neural networks. ESANN 2010 - [c27]Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton:
Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c26]Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton:
Reservoir computing for static pattern recognition. ESANN 2009 - [c25]Jorge M. Santos, Mark J. Embrechts:
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. ICANN (2) 2009: 175-184 - [c24]Luís A. Alexandre, Mark J. Embrechts:
Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. ICANN (1) 2009: 1015-1024 - [c23]Luís A. Alexandre, Mark J. Embrechts, Jonathan D. Linton:
Benchmarking reservoir computing on time-independent classification tasks. IJCNN 2009: 89-93 - 2008
- [j11]Tanawut Tantimongcolwat, Thanakorn Naenna, Chartchalerm Isarankura-Na-Ayudhya, Mark J. Embrechts, Virapong Prachayasittikul:
Identification of ischemic heart disease via machine learning analysis on magnetocardiograms. Comput. Biol. Medicine 38(7): 817-825 (2008) - [j10]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) - [c22]Luís M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de Sá:
The Influence of the Risk Functional in Data Classification with MLPs. ICANN (1) 2008: 185-194 - 2007
- [c21]Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski:
Some Properties of the Gaussian Kernel for One Class Learning. ICANN (1) 2007: 269-278 - [c20]Mark J. Embrechts, Jonathan D. Linton, Walter F. L. Bogaerts, Bram Heyns, Paul F. Evangelista:
Automated Text Categorization Based on Readability Fingerprints. ICANN (2) 2007: 408-416 - [c19]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 - 2006
- [j9]Neil H. W. Eklund, Mark J. Embrechts, Marc Goetschalckx:
Efficient chromosome encoding and problem-specific mutation methods for the flexible bay facility layout problem. IEEE Trans. Syst. Man Cybern. Syst. 36(4): 495-502 (2006) - [c18]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 - [c17]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 - [c16]Long Han, Mark J. Embrechts, Yunqing Chen, Xicheng Zhang:
Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra. IJCNN 2006: 3181-3187 - [p2]Mark J. Embrechts, Robert A. Bress, Robert H. Kewley:
Feature Selection via Sensitivity Analysis with Direct Kernel PLS. Feature Extraction 2006: 447-462 - 2005
- [c15]Walker H. Land Jr., Mark J. Embrechts, Frances R. Anderson, Tom Smith, Lut Wong, Stephen Fahlbusch, Robert Choma:
Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 226-231 - [c14]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 - [c13]Walker H. Land, John J. Heine, Mark J. Embrechts, Tom Smith, Robert Choma, Lut Wong:
New approach to breast cancer CAD using partial least squares and kernel-partial least squares. Medical Imaging: Image Processing 2005 - 2004
- [j8]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. J. Chem. Inf. Model. 44(2): 499-507 (2004) - [j7]Wei Deng, Curt M. Breneman, Mark J. Embrechts:
Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods. J. Chem. Inf. Model. 44(2): 699-703 (2004) - [j6]Mark J. Embrechts, Sándor Benedek:
Hybrid identification of nuclear power plant transients with artificial neural networks. IEEE Trans. Ind. Electron. 51(3): 686-693 (2004) - [j5]Ismael E. Arciniegas Rueda, Fabio A. Arciniegas, Mark J. Embrechts:
SVM sensitivity analysis: an application to currency crises aftermaths. IEEE Trans. Syst. Man Cybern. Part A 34(3): 387-398 (2004) - [c12]Walker H. Land Jr., Lut Wong, Daniel W. McKee, Mark J. Embrechts, Rizly Salih, Frances R. Anderson:
Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. CBMS 2004: 224- - [c11]Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski:
Taming the Curse of Dimensionality in Kernels and Novelty Detection. WSC 2004: 425-438 - [p1]Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel:
Introduction to Scientific Data Mining: Direct Kernel Methods and Applications. Computationally Intelligent Hybrid Systems 2004: 317-362 - 2003
- [j4]Curt M. Breneman, C. Matthew Sundling, Nagamani Sukumar, Lingling Shen, William P. Katt, Mark J. Embrechts:
New developments in PEST shape/property hybrid descriptors. J. Comput. Aided Mol. Des. 17(2-4): 231-240 (2003) - [j3]Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song:
Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. 3: 1229-1243 (2003) - [c10]Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Thanakorn Naenna, Ramathilagam Bragaspathi:
Use of machine learning for classification of magnetocardiograms. SMC 2003: 1400-1405 - [c9]Walker H. Land Jr., Dale Leibensperger, Lut Wong, Omowunmi Sadik, A. Wanekeyab, Michiko Uematsu, Mark J. Embrechts:
New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents. SMC 2003: 2883-2888 - 2002
- [j2]Robert H. Kewley, Mark J. Embrechts:
Computational military tactical planning system. IEEE Trans. Syst. Man Cybern. Part C 32(2): 161-171 (2002) - [c8]Kristin P. Bennett, Michinari Momma, Mark J. Embrechts:
MARK: a boosting algorithm for heterogeneous kernel models. KDD 2002: 24-31 - 2001
- [c7]Neil H. W. Eklund, Mark J. Embrechts:
Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. EMO 2001: 603-611 - [c6]Mark J. Embrechts:
Computational intelligence for data mining. SMC 2001: 1484 - [c5]Ismael E. Arciniegas Rueda, Betty Daniel, Mark J. Embrechts:
Exploring Financial Crises Data with Self-Organizing Maps (SOM). WSOM 2001: 39-46 - 2000
- [j1]Robert H. Kewley, Mark J. Embrechts, Curt M. Breneman:
Data strip mining for the virtual design of pharmaceuticals with neural networks. IEEE Trans. Neural Networks Learn. Syst. 11(3): 668-679 (2000) - [c4]Fabio A. Arciniegas, Mark J. Embrechts:
Phoneme Recognition with Staged Neural Networks. IJCNN (5) 2000: 259-264 - [c3]Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert:
Supervised Scaled Regression Clustering: An Alternative to Neural Networks. IJCNN (6) 2000: 571-576 - [c2]Mark J. Embrechts, Fabio A. Arciniegas:
Neural networks for text-to-speech phoneme recognition. SMC 2000: 3582-3587
1990 – 1999
- 1998
- [c1]Robert H. Kewley, Mark J. Embrechts:
Fuzzy-genetic decision optimization for positioning of military combat units. SMC 1998: 3658-3663
Coauthor Index
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