Mark J. Embrechts

58 papers A* 1B 25C 2Misc 1Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2014	—	`conf`	A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices. MCPR Jorge M. Santos, Mark J. Embrechts
2014	J	`jnl`	Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013). Neurocomputing Mark J. Embrechts, Fabrice Rossi, Frank-Michael Schleif, John Aldo Lee
2014	B	`conf`	An application of the temporal difference algorithm to the truck backer-upper problem. ESANN Christopher J. Gatti, Mark J. Embrechts
2013	B	`conf`	An empirical analysis of reinforcement learning using design of experiments. ESANN Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton
2013	J	`jnl`	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. Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts
2013	J	`jnl`	Erratum to "Multi-attribute decision making for green electrical discharge machining" [Expert Syst. Appl. 38(7) (2011) 8370-8374]. Expert Syst. Appl. Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts
2013	J	`jnl`	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. Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts
2013	B	`conf`	Random Brains: An ensemble method for feature selection with neural networks. ESANN Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos
2013	J	`jnl`	Using sensitivity analysis and visualization techniques to open black box data mining models. Inf. Sci. Paulo Cortez, Mark J. Embrechts
2012	B	`conf`	Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. IJCNN Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton, Thiemo Gruber, Bernhard Sick
2012	B	`conf`	Hybrid hierarchical clustering: cluster assessment via cluster validation indices. ESANN Mark J. Embrechts, Jonathan D. Linton, Christopher J. Gatti
2011	B	`conf`	A brief tutorial on reinforcement learning: The game of Chung Toi. ESANN Christopher J. Gatti, Jonathan D. Linton, Mark J. Embrechts
2011	C	`conf`	Opening black box Data Mining models using Sensitivity Analysis. CIDM Paulo Cortez, Mark J. Embrechts
2011	B	`conf`	Reinforcement learning and the effects of parameter settings in the game of Chung Toi. SMC Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton
2010	B	`conf`	An augmented efficient backpropagation training strategy for deep autoassociative neural networks. ESANN Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton
2010	B	`conf`	Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks. IJCNN Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton
2009	B	`conf`	Benchmarking reservoir computing on time-independent classification tasks. IJCNN Luís A. Alexandre, Mark J. Embrechts, Jonathan D. Linton
2009	—	`conf`	On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. ICANN (2) Jorge M. Santos, Mark J. Embrechts
2009	—	`conf`	Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. ICANN (1) Luís A. Alexandre, Mark J. Embrechts
2009	B	`conf`	Reservoir computing for static pattern recognition. ESANN Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton
2008	J	`jnl`	Analyzing currency crises' real effects with partial least squares sensitivity analysis. Intell. Data Anal. Ismael E. Arciniegas Rueda, Fabio A. Arciniegas, Mark J. Embrechts
2008	J	`jnl`	Identification of ischemic heart disease via machine learning analysis on magnetocardiograms. Comput. Biol. Medicine Tanawut Tantimongcolwat, Thanakorn Naenna, Chartchalerm Isarankura-Na-Ayudhya, Mark J. Embrechts, Virapong Prachayasittikul
2008	—	`conf`	The Influence of the Risk Functional in Data Classification with MLPs. ICANN (1) Luís M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de Sá
2007	—	`conf`	Automated Text Categorization Based on Readability Fingerprints. ICANN (2) Mark J. Embrechts, Jonathan D. Linton, Walter F. L. Bogaerts, Bram Heyns, Paul F. Evangelista
2007	—	`conf`	Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR). ICANN (1) Changjian Huang, Mark J. Embrechts, Nagamani Sukumar, Curt M. Breneman
2007	—	`conf`	Some Properties of the Gaussian Kernel for One Class Learning. ICANN (1) Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
2006	B	`conf`	Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions. IJCNN Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
2006	J	`jnl`	Efficient chromosome encoding and problem-specific mutation methods for the flexible bay facility layout problem. IEEE Trans. Syst. Man Cybern. Syst. Neil H. W. Eklund, Mark J. Embrechts, Marc Goetschalckx
2006	—	`ch.`	Feature Selection via Sensitivity Analysis with Direct Kernel PLS. Feature Extraction Mark J. Embrechts, Robert A. Bress, Robert H. Kewley
2006	B	`conf`	Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra. IJCNN Long Han, Mark J. Embrechts, Yunqing Chen, Xicheng Zhang
2006	B	`conf`	Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms. ESANN Long Han, Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Alexander Ross
2005	B	`conf`	Fuzzy ROC curves for unsupervised nonparametric ensemble techniques. IJCNN Paul F. Evangelista, Mark J. Embrechts, Piero P. Bonissone, Boleslaw K. Szymanski
2005	—	`conf`	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 Walker H. Land Jr., Mark J. Embrechts, Frances R. Anderson, Tom Smith, Lut Wong, Stephen Fahlbusch, Robert Choma
2005	B	`conf`	New approach to breast cancer CAD using partial least squares and kernel-partial least squares. Image Processing Walker H. Land, John J. Heine, Mark J. Embrechts, Tom Smith, Robert Choma, Lut Wong
2005	B	`conf`	unsupervised fuzzy ensembles and their use in intrusion detection. ESANN Paul F. Evangelista, Piero P. Bonissone, Mark J. Embrechts, Boleslaw K. Szymanski
2004	B	`conf`	Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. CBMS Walker H. Land Jr., Lut Wong, Daniel W. McKee, Mark J. Embrechts, Rizly Salih, Frances R. Anderson
2004	J	`jnl`	Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors. J. Chem. Inf. Model. Omowunmi Sadik, Walker H. Land Jr., Adam K. Wanekaya, Michiko Uematsu, Mark J. Embrechts, Lut Wong, Dale Leibensperger, Alex Volykin
2004	B	`conf`	Direct kernel least-squares support vector machines with heuristic regularization. IJCNN Mark J. Embrechts
2004	J	`jnl`	Hybrid identification of nuclear power plant transients with artificial neural networks. IEEE Trans. Ind. Electron. Mark J. Embrechts, Sándor Benedek
2004	—	`ch.`	Introduction to Scientific Data Mining: Direct Kernel Methods and Applications. Computationally Intelligent Hybrid Systems Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel
2004	J	`jnl`	Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods. J. Chem. Inf. Model. Wei Deng, Curt M. Breneman, Mark J. Embrechts
2004	J	`jnl`	SVM sensitivity analysis: an application to currency crises aftermaths. IEEE Trans. Syst. Man Cybern. Part A Ismael E. Arciniegas Rueda, Fabio A. Arciniegas, Mark J. Embrechts
2004	Misc	`conf`	Taming the Curse of Dimensionality in Kernels and Novelty Detection. WSC Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
2003	J	`jnl`	Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song
2003	J	`jnl`	New developments in PEST shape/property hybrid descriptors. J. Comput. Aided Mol. Des. Curt M. Breneman, C. Matthew Sundling, Nagamani Sukumar, Lingling Shen, William P. Katt, Mark J. Embrechts
2003	B	`conf`	New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents. SMC Walker H. Land Jr., Dale Leibensperger, Lut Wong, Omowunmi Sadik, A. Wanekeyab, Michiko Uematsu, Mark J. Embrechts
2003	B	`conf`	Simulation of the visual cortex with laterally connected spiking neural networks. IJCNN Jianguo Xin, Mark J. Embrechts
2003	B	`conf`	Use of machine learning for classification of magnetocardiograms. SMC Mark J. Embrechts, Boleslaw K. Szymanski, Karsten Sternickel, Thanakorn Naenna, Ramathilagam Bragaspathi
2002	J	`jnl`	Computational military tactical planning system. IEEE Trans. Syst. Man Cybern. Part C Robert H. Kewley, Mark J. Embrechts
2002	A*	`conf`	MARK: a boosting algorithm for heterogeneous kernel models. KDD Kristin P. Bennett, Michinari Momma, Mark J. Embrechts
2001	B	`conf`	Computational intelligence for data mining. SMC Mark J. Embrechts
2001	C	`conf`	Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. EMO Neil H. W. Eklund, Mark J. Embrechts
2001	—	`conf`	Exploring Financial Crises Data with Self-Organizing Maps (SOM). WSOM Ismael E. Arciniegas Rueda, Betty Daniel, Mark J. Embrechts
2000	J	`jnl`	Data strip mining for the virtual design of pharmaceuticals with neural networks. IEEE Trans. Neural Networks Learn. Syst. Robert H. Kewley, Mark J. Embrechts, Curt M. Breneman
2000	B	`conf`	Neural networks for text-to-speech phoneme recognition. SMC Mark J. Embrechts, Fabio A. Arciniegas
2000	—	`conf`	Phoneme Recognition with Staged Neural Networks. IJCNN (5) Fabio A. Arciniegas, Mark J. Embrechts
2000	—	`conf`	Supervised Scaled Regression Clustering: An Alternative to Neural Networks. IJCNN (6) Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert
1998	B	`conf`	Fuzzy-genetic decision optimization for positioning of military combat units. SMC Robert H. Kewley, Mark J. Embrechts