A Markovian-Bayesian Network for Risk Analysis of High Speed and Conventional Railway Lines Integrating Human Errors. | 15 | 0.94 | 2016 |
Distributed One-Class Support Vector Machine | 24 | 0.99 | 2015 |
An Alternate Double-Single Track Proposal for High-Speed Peripheral Railway Lines. | 8 | 0.68 | 2015 |
A continuous bi-level model for the expansion of highway networks | 5 | 0.55 | 2014 |
A hierarchical optimization problem: Estimating traffic flow using Gamma random variables in a Bayesian context | 5 | 0.48 | 2014 |
Optimal engineering design via Benders' decomposition. | 0 | 0.34 | 2013 |
Marginalizing in undirected graph and hypergraph models | 0 | 0.34 | 2013 |
A Multiclass User Equilibrium Model Considering Overtaking Across Classes. | 3 | 0.39 | 2013 |
A minimum volume covering approach with a set of ellipsoids. | 2 | 0.39 | 2013 |
Application of Observability Techniques to Structural System Identification. | 10 | 0.83 | 2013 |
A percentile system optimization approach with and without path enumeration | 3 | 0.40 | 2013 |
Error estimation in approximate Bayesian belief network inference | 2 | 0.51 | 2013 |
Deriving the Upper Bound of the Number of Sensors Required to Know All Link Flows in a Traffic Network. | 5 | 0.53 | 2013 |
Tail sensitivity analysis in Bayesian networks | 2 | 0.62 | 2013 |
Estimating the parameters of a fatigue model using Benders' decomposition. | 0 | 0.34 | 2013 |
Stochastic Demand Dynamic Traffic Models Using Generalized Beta-Gaussian Bayesian Networks | 10 | 0.60 | 2012 |
A Key Size Configurable High Speed RSA Coprocessor | 0 | 0.34 | 2011 |
Link Flow Estimation in Traffic Networks on the Basis of Link Flow Observations. | 7 | 0.60 | 2011 |
Combined regression models | 0 | 0.34 | 2009 |
On multivariate order statistics. Application to ranked set sampling | 0 | 0.34 | 2009 |
Multivariate order statistics via multivariate concomitants | 1 | 0.53 | 2009 |
An Exponential Model for Damage Accumulation | 0 | 0.34 | 2009 |
The Observability Problem In Traffic Network Models | 26 | 2.05 | 2008 |
Sensitivity analysis in optimization and reliability problems | 24 | 1.48 | 2008 |
Traffic Estimation And Optimal Counting Location Without Path Enumeration Using Bayesian Networks | 33 | 2.27 | 2008 |
Semi-parametric nonlinear regression and transformation using functional networks | 13 | 0.97 | 2008 |
Dealing with the multiplicity of solutions of the l1 and l INFINITY regression models | 1 | 0.37 | 2008 |
The danger model: application to a competitive market | 0 | 0.34 | 2007 |
Observability in linear systems of equations and inequalities: Applications | 12 | 1.74 | 2007 |
Functional network topology learning and sensitivity analysis based on ANOVA decomposition. | 7 | 0.73 | 2007 |
Solving Ordinary Differential Equations with Range Conditions. Applications | 0 | 0.34 | 2006 |
Interpreting linear systems of equalities and inequalities. Application to the water supply problem | 0 | 0.34 | 2006 |
Functional networks and analysis of variance for feature selection | 3 | 0.45 | 2006 |
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis | 42 | 2.44 | 2006 |
Modelling engineering problems using dimensional analysis for feature extraction | 0 | 0.34 | 2005 |
a new wrapper method for feature subset selection | 2 | 0.46 | 2005 |
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response | 22 | 2.37 | 2005 |
Shear strength prediction using dimensional analysis and functional networks | 2 | 0.53 | 2004 |
A General Method for Local Sensitivity Analysis With Application to Regression Models and Other Optimization Problems | 15 | 1.63 | 2004 |
A measure of fault tolerance for functional networks | 5 | 0.46 | 2004 |
Linear least-squares based methods for neural networks learning | 7 | 0.68 | 2003 |
Recovering Missing Data with Functional and Bayesian Networks | 0 | 0.34 | 2003 |
Accelerating the convergence speed of neural networks learning methods using least squares | 9 | 0.71 | 2003 |
An alternative approach for addressing the failure probability-safety factor method with sensitivity analysis | 3 | 1.45 | 2003 |
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks | 5 | 0.85 | 2002 |
A global optimum approach for one-layer neural networks. | 24 | 1.50 | 2002 |
Computing failure probabilities. Applications to reliability analysis | 0 | 0.34 | 2002 |
Some Applications of Functional Networks in Statistics and Engineering | 25 | 2.03 | 2001 |
Optimal Transformations in Multiple Linear Regression Using Functional Networks | 5 | 0.59 | 2001 |
A Measure of Noise Immunity for Functional Networks | 2 | 0.40 | 2001 |