Mark J. Embrechts

According to our database, Mark J. Embrechts authored at least 55 papers between 1998 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices.

Jorge M. Santos, Mark J. Embrechts

Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

An application of the temporal difference algorithm to the truck backer-upper problem.

Christopher J. Gatti, Mark J. Embrechts

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Using sensitivity analysis and visualization techniques to open black box data mining models.

Paulo Cortez, Mark J. Embrechts

Inf. Sci., 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

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

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

An empirical analysis of reinforcement learning using design of experiments.

Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Random Brains: An ensemble method for feature selection with neural networks.

Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

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

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Hybrid hierarchical clustering: cluster assessment via cluster validation indices.

Mark J. Embrechts, Jonathan D. Linton, Christopher J. Gatti

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Reinforcement learning and the effects of parameter settings in the game of Chung Toi.

Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton

Proceedings of the IEEE International Conference on Systems, 2011

A brief tutorial on reinforcement learning: The game of Chung Toi.

Christopher J. Gatti, Jonathan D. Linton, Mark J. Embrechts

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Opening black box Data Mining models using Sensitivity Analysis.

Paulo Cortez, Mark J. Embrechts

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks.

Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton

Proceedings of the International Joint Conference on Neural Networks, 2010

An augmented efficient backpropagation training strategy for deep autoassociative neural networks.

Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Benchmarking reservoir computing on time-independent classification tasks.

Luís A. Alexandre, Mark J. Embrechts, Jonathan D. Linton

Proceedings of the International Joint Conference on Neural Networks, 2009

On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification.

Jorge M. Santos, Mark J. Embrechts

Proceedings of the Artificial Neural Networks, 2009

Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems.

Luís A. Alexandre, Mark J. Embrechts

Proceedings of the Artificial Neural Networks, 2009

Reservoir computing for static pattern recognition.

Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

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

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

The Influence of the Risk Functional in Data Classification with MLPs.

Luís M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de Sá

Proceedings of the Artificial Neural Networks, 2008

2007

Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR).

Changjian Huang, Mark J. Embrechts, Nagamani Sukumar, Curt M. Breneman

Proceedings of the Artificial Neural Networks, 2007

Some Properties of the Gaussian Kernel for One Class Learning.

Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski

Proceedings of the Artificial Neural Networks, 2007

Automated Text Categorization Based on Readability Fingerprints.

Mark J. Embrechts, Jonathan D. Linton, Walter F. L. Bogaerts, Bram Heyns, Paul F. Evangelista

Proceedings of the Artificial Neural Networks, 2007

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

Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra.

Long Han, Mark J. Embrechts, Yunqing Chen, Xicheng Zhang

Proceedings of the International Joint Conference on Neural Networks, 2006

Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions.

Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski

Proceedings of the International Joint Conference on Neural Networks, 2006

Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms.

Long Han, Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Alexander Ross

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Feature Selection via Sensitivity Analysis with Direct Kernel PLS.

Mark J. Embrechts, Robert A. Bress, Robert H. Kewley

Proceedings of the Feature Extraction - Foundations and Applications, 2006

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

Proceedings of the Medical Imaging 2005: Image Processing, 2005

unsupervised fuzzy ensembles and their use in intrusion detection.

Paul F. Evangelista, Piero P. Bonissone, Mark J. Embrechts, Boleslaw K. Szymanski

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

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

Proceedings of the Data Mining, 2005

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

Hybrid identification of nuclear power plant transients with artificial neural networks.

Mark J. Embrechts, Sándor Benedek

IEEE Trans. Ind. Electron., 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

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

Taming the Curse of Dimensionality in Kernels and Novelty Detection.

Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski

Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 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

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

Introduction to Scientific Data Mining: Direct Kernel Methods and Applications.

Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel

Proceedings of the Computationally Intelligent Hybrid Systems, 2004

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

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

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

Proceedings of the IEEE International Conference on Systems, 2003

Use of machine learning for classification of magnetocardiograms.

Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Thanakorn Naenna, Ramathilagam Bragaspathi

Proceedings of the IEEE International Conference on Systems, 2003

2002

Computational military tactical planning system.

Robert H. Kewley, Mark J. Embrechts

IEEE Trans. Syst. Man Cybern. Part C, 2002

MARK: a boosting algorithm for heterogeneous kernel models.

Kristin P. Bennett, Michinari Momma, Mark J. Embrechts

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Exploring Financial Crises Data with Self-Organizing Maps (SOM).

Ismael E. Arciniegas Rueda, Betty Daniel, Mark J. Embrechts

Proceedings of the Advances in Self-Organising Maps, 2001

Computational intelligence for data mining.

Mark J. Embrechts

Proceedings of the IEEE International Conference on Systems, 2001

Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources.

Neil H. W. Eklund, Mark J. Embrechts

Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

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

Neural networks for text-to-speech phoneme recognition.

Mark J. Embrechts, Fabio A. Arciniegas

Proceedings of the IEEE International Conference on Systems, 2000

Supervised Scaled Regression Clustering: An Alternative to Neural Networks.

Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Phoneme Recognition with Staged Neural Networks.

Fabio A. Arciniegas, Mark J. Embrechts

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998

Fuzzy-genetic decision optimization for positioning of military combat units.

Robert H. Kewley, Mark J. Embrechts

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998