Mark J. Embrechts

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)

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)

Paulo Cortez, Mark J. Embrechts: Using sensitivity analysis and visualization techniques to open black box data mining models. Inf. Sci. 225: 1-17 (2013)

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

Paulo Cortez, Mark J. Embrechts: Opening black box Data Mining models using Sensitivity Analysis. CIDM 2011: 341-348

Christopher J. Gatti, Jonathan D. Linton, Mark J. Embrechts: A brief tutorial on reinforcement learning: The game of Chung Toi. ESANN 2011

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

Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton: An augmented efficient backpropagation training strategy for deep autoassociative neural networks. ESANN 2010

Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton: Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks. IJCNN 2010: 1-6

Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton: Reservoir computing for static pattern recognition. ESANN 2009

Luís A. Alexandre, Mark J. Embrechts: Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. ICANN (1) 2009: 1015-1024

Luís A. Alexandre, Mark J. Embrechts, Jamathan Linton: Benchmarking reservoir computing on time-independent classification tasks. IJCNN 2009: 89-93

Tanawut Tantimongcolwat, Thanakorn Naenna, Chartchalerm Isarankura-Na-Ayudhya, Mark J. Embrechts, Virapong Prachayasittikul: Identification of ischemic heart disease via machine learning analysis on magnetocardiograms. Comp. in Bio. and Med. 38(7): 817-825 (2008)

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)

Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski: Some Properties of the Gaussian Kernel for One Class Learning. ICANN (1) 2007: 269-278

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

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

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

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

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

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

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)

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)

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)

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-

Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski: Taming the Curse of Dimensionality in Kernels and Novelty Detection. WSC 2004: 425-438

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)

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)

Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Thanakorn Naenna, Ramathilagam Bragaspathi: Use of machine learning for classification of magnetocardiograms. SMC 2003: 1400-1405

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

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)

Kristin P. Bennett, Michinari Momma, Mark J. Embrechts: MARK: a boosting algorithm for heterogeneous kernel models. KDD 2002: 24-31

Neil H. Eklund, Mark J. Embrechts: Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. EMO 2001: 603-611

Robert H. Kewley, Mark J. Embrechts, Curt M. Breneman: Data strip mining for the virtual design of pharmaceuticals with neural networks. IEEE Trans. Neural Netw. Learning Syst. 11(3): 668-679 (2000)

Fabio A. Arciniegas, Mark J. Embrechts: Phoneme Recognition with Staged Neural Networks. IJCNN (5) 2000: 259-264

Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert: Supervised Scaled Regression Clustering: An Alternative to Neural Networks. IJCNN (6) 2000: 571-576