Using sensitivity analysis and visualization techniques to open black box data mining models von Cortez, Paulo, Embrechts, Mark J.

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Spatial topology of organelle is a new breast cancer cell classifier von Wang, Ling, Goldwag, Joshua, Bouyea, Megan, Barra, Jonathan, Matteson, Kailie, Maharjan, Niva, Eladdadi, Amina, Embrechts, Mark J., Intes, Xavier, Kruger, Uwe, Barroso, Margarida

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Predicting Protein−Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods von Deng, Wei, Breneman, Curt, Embrechts, Mark J

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Data strip mining for the virtual design of pharmaceuticals with neural networks von Kewley, R.H., Embrechts, M.J., Breneman, C.

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Some Properties of the Gaussian Kernel for One Class Learning von Evangelista, Paul F., Embrechts, Mark J., Szymanski, Boleslaw K.

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Identification of ischemic heart disease via machine learning analysis on magnetocardiograms von Tantimongcolwat, Tanawut, Naenna, Thanakorn, Isarankura-Na-Ayudhya, Chartchalerm, Embrechts, Mark J, Prachayasittikul, Virapong

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Regularized error-in-variable estimation for big data modeling and process analytics von Kruger, Uwe, Wang, Xun, Embrechts, Mark J., Almansoori, Ali, Hahn, Juergen

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Predictive Cheminformatics in Drug Discovery: Statistical Modeling for Analysis of Micro-array and Gene Expression Data von Sukumar, N., Krein, Michael P., Embrechts, Mark J.

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Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors von Sadik, Omowunmi, Land, Walker H, Wanekaya, Adam K, Uematsu, Michiko, Embrechts, Mark J, Wong, Lut, Leibensperger, Dale, Volykin, Alex

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Opening black box Data Mining models using Sensitivity Analysis von Cortez, P., Embrechts, M. J.

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New developments in PEST shape/property hybrid descriptors von Breneman, Curt M, Sundling, C Matthew, Sukumar, N, Shen, Lingling, Katt, William P, Embrechts, Mark J

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Hybrid identification of nuclear power plant transients with artificial neural networks von Embrechts, M.J., Benedek, S.

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

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Erratum to “Simultaneous optimization of flame spraying process parameters for high quality molybdenum coatings using taguchi methods” [Surf. Coat. Technol. 79(1–3) (1996) 276–288]... von Linton, Jonathan D., Jiang, Quanhong, Gatti, Christopher J., Embrechts, Mark J.

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

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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] von D. Linton, Jonathan, Jiang, Quanhong, J. Gatti, Christopher, J. Embrechts, Mark

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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 S... von Linton, Jonathan D., Jiang, Quanhong, Gatti, Christopher J., Embrechts, Mark J.

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Erratum for “Anawa, E. M. and Olabi, A. G. Using taguchi method to optimize welding pool of dissimilar laser-welded components” [Optics and Laser Technology 2008; 40(2): 379–388]... von Linton, Jonathan D., Jiang, Quanhong, Gatti, Christopher J., Embrechts, Mark J.

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Computational military tactical planning system von Kewley, R.H., Embrechts, M.J.

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Introduction to Scientific Data Mining: Direct Kernel Methods and Applications von Embrechts, Mark J, Szymanski, Boleslaw, Sternickel, Karsten

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