Fuzzy-genetic decision optimization for positioning of military combat units. - Robert H. Kewley; Mark J. Embrechts (SMC, 1998)

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

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

Neural networks for text-to-speech phoneme recognition. - Mark J. Embrechts; Fabio A. Arciniegas (SMC, 2000)

Data strip mining for the virtual design of pharmaceuticals with neural networks. - Robert H. Kewley; Mark J. Embrechts; Curt M. Breneman (IEEE Trans. Neural Networks Learn. Syst., 2000)

Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. - Neil H. W. Eklund; Mark J. Embrechts (EMO, 2001)

Computational intelligence for data mining. - Mark J. Embrechts (SMC, 2001)

Exploring Financial Crises Data with Self-Organizing Maps (SOM). - Ismael E. Arciniegas Rueda; Betty Daniel; Mark J. Embrechts (WSOM, 2001)

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

Computational military tactical planning system. - Robert H. Kewley; Mark J. Embrechts (IEEE Trans. Syst. Man Cybern. Part C, 2002)

Simulation of the visual cortex with laterally connected spiking neural networks. - Jianguo Xin; Mark J. Embrechts (IJCNN, 2003)

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

New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents. - Walker H. Land Jr.; Dale Leibensperger; Lut Wong; Omowunmi Sadik; A. Wanekeyab; Michiko Uematsu; Mark J. Embrechts (SMC, 2003)

New developments in PEST shape/property hybrid descriptors. - Curt M. Breneman; C. Matthew Sundling; Nagamani Sukumar; Lingling Shen; William P. Katt; Mark J. Embrechts (J. Comput. Aided Mol. Des., 2003)

Dimensionality Reduction via Sparse Support Vector Machines. - Jinbo Bi; Kristin P. Bennett; Mark J. Embrechts; Curt M. Breneman; Minghu Song (J. Mach. Learn. Res., 2003)

Introduction to Scientific Data Mining: Direct Kernel Methods and Applications. - Mark J. Embrechts; Boleslaw K. Szymanski; Karsten Sternickel (Computationally Intelligent Hybrid Systems, 2004)

Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. - Walker H. Land Jr.; Lut Wong; Daniel W. McKee; Mark J. Embrechts; Rizly Salih; Frances R. Anderson (CBMS, 2004)

Direct kernel least-squares support vector machines with heuristic regularization. - Mark J. Embrechts (IJCNN, 2004)

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

Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods. - Wei Deng; Curt M. Breneman; Mark J. Embrechts (J. Chem. Inf. Model., 2004)

Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors. - Omowunmi Sadik; Walker H. Land Jr.; Adam K. Wanekaya; Michiko Uematsu; Mark J. Embrechts; Lut Wong; Dale Leibensperger; Alex Volykin (J. Chem. Inf. Model., 2004)

Hybrid identification of nuclear power plant transients with artificial neural networks. - Mark J. Embrechts; Sándor Benedek (IEEE Trans. Ind. Electron., 2004)

SVM sensitivity analysis: an application to currency crises aftermaths. - Ismael E. Arciniegas Rueda; Fabio A. Arciniegas; Mark J. Embrechts (IEEE Trans. Syst. Man Cybern. Part A, 2004)

Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis. - Walker H. Land Jr.; Mark J. Embrechts; Frances R. Anderson; Tom Smith; Lut Wong; Stephen Fahlbusch; Robert Choma (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

unsupervised fuzzy ensembles and their use in intrusion detection. - Paul F. Evangelista; Piero P. Bonissone; Mark J. Embrechts; Boleslaw K. Szymanski (ESANN, 2005)

Fuzzy ROC curves for unsupervised nonparametric ensemble techniques. - Paul F. Evangelista; Mark J. Embrechts; Piero P. Bonissone; Boleslaw K. Szymanski (IJCNN, 2005)

New approach to breast cancer CAD using partial least squares and kernel-partial least squares. - Walker H. Land; John J. Heine; Mark J. Embrechts; Tom Smith; Robert Choma; Lut Wong (Image Processing, 2005)

Feature Selection via Sensitivity Analysis with Direct Kernel PLS. - Mark J. Embrechts; Robert A. Bress; Robert H. Kewley (Feature Extraction, 2006)

Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms. - Long Han; Mark J. Embrechts; Boleslaw K. Szymanski; Karsten Sternickel; Alexander Ross (ESANN, 2006)

Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions. - Paul F. Evangelista; Mark J. Embrechts; Boleslaw K. Szymanski (IJCNN, 2006)

Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra. - Long Han; Mark J. Embrechts; Yunqing Chen; Xicheng Zhang (IJCNN, 2006)

Efficient chromosome encoding and problem-specific mutation methods for the flexible bay facility layout problem. - Neil H. W. Eklund; Mark J. Embrechts; Marc Goetschalckx (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Automated Text Categorization Based on Readability Fingerprints. - Mark J. Embrechts; Jonathan D. Linton; Walter F. L. Bogaerts; Bram Heyns; Paul F. Evangelista (ICANN (2), 2007)

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

Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR). - Changjian Huang; Mark J. Embrechts; Nagamani Sukumar; Curt M. Breneman (ICANN (1), 2007)

The Influence of the Risk Functional in Data Classification with MLPs. - Luís M. Silva; Mark J. Embrechts; Jorge M. Santos; Joaquim Marques de Sá (ICANN (1), 2008)

Identification of ischemic heart disease via machine learning analysis on magnetocardiograms. - Tanawut Tantimongcolwat; Thanakorn Naenna; Chartchalerm Isarankura-Na-Ayudhya; Mark J. Embrechts; Virapong Prachayasittikul (Comput. Biol. Medicine, 2008)

Analyzing currency crises' real effects with partial least squares sensitivity analysis. - Ismael E. Arciniegas Rueda; Fabio A. Arciniegas; Mark J. Embrechts (Intell. Data Anal., 2008)

Reservoir computing for static pattern recognition. - Mark J. Embrechts; Luís A. Alexandre; Jonathan D. Linton (ESANN, 2009)

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

On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. - Jorge M. Santos; Mark J. Embrechts (ICANN (2), 2009)

Benchmarking reservoir computing on time-independent classification tasks. - Luís A. Alexandre; Mark J. Embrechts; Jonathan D. Linton (IJCNN, 2009)

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

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

Opening black box Data Mining models using Sensitivity Analysis. - Paulo Cortez 001; Mark J. Embrechts (CIDM, 2011)

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

Reinforcement learning and the effects of parameter settings in the game of Chung Toi. - Christopher J. Gatti; Mark J. Embrechts; Jonathan D. Linton (SMC, 2011)

Hybrid hierarchical clustering: cluster assessment via cluster validation indices. - Mark J. Embrechts; Jonathan D. Linton; Christopher J. Gatti (ESANN, 2012)

Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. - Mark J. Embrechts; Christopher J. Gatti; Jonathan D. Linton; Thiemo Gruber; Bernhard Sick (IJCNN, 2012)

Random Brains: An ensemble method for feature selection with neural networks. - Mark J. Embrechts; Jonathan D. Linton; Jorge M. Santos (ESANN, 2013)

An empirical analysis of reinforcement learning using design of experiments. - Christopher J. Gatti; Mark J. Embrechts; Jonathan D. Linton (ESANN, 2013)

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. - Jonathan D. Linton; Quanhong Jiang; Christopher J. Gatti; Mark J. Embrechts (Adv. Eng. Softw., 2013)

Erratum to "Multi-attribute decision making for green electrical discharge machining" [Expert Syst. Appl. 38(7) (2011) 8370-8374]. - Jonathan D. Linton; Quanhong Jiang; Christopher J. Gatti; Mark J. Embrechts (Expert Syst. Appl., 2013)

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]. - Jonathan D. Linton; Quanhong Jiang; Christopher J. Gatti; Mark J. Embrechts (Expert Syst. Appl., 2013)

Using sensitivity analysis and visualization techniques to open black box data mining models. - Paulo Cortez 001; Mark J. Embrechts (Inf. Sci., 2013)

An application of the temporal difference algorithm to the truck backer-upper problem. - Christopher J. Gatti; Mark J. Embrechts (ESANN, 2014)

A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices. - Jorge M. Santos; Mark J. Embrechts (MCPR, 2014)

Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013). - Mark J. Embrechts; Fabrice Rossi; Frank-Michael Schleif; John Aldo Lee (Neurocomputing, 2014)