Enrique F. Castillo

Orcid: 0000-0002-8570-0844

According to our database1, Enrique F. Castillo authored at least 88 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A State of the Art Review of Systems of Linear Inequalities and Related Observability Problems.
Algorithms, 2023

2017
Highway and Road Probabilistic Safety Assessment Based on Bayesian Network Models.
Comput. Aided Civ. Infrastructure Eng., 2017

Proactive, Backward Analysis and Learning in Road Probabilistic Bayesian Network Models.
Comput. Aided Civ. Infrastructure Eng., 2017

Complexity Reduction and Sensitivity Analysis in Road Probabilistic Safety Assessment Bayesian Network Models.
Comput. Aided Civ. Infrastructure Eng., 2017

Bayesian Networks Probabilistic Safety Analysis of Highways and Roads.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016
A Time Partitioning Technique for Railway Line Design and Timetable Optimization.
Comput. Aided Civ. Infrastructure Eng., 2016

Bayesian Networks-Based Probabilistic Safety Analysis for Railway Lines.
Comput. Aided Civ. Infrastructure Eng., 2016

A Markovian-Bayesian Network for Risk Analysis of High Speed and Conventional Railway Lines Integrating Human Errors.
Comput. Aided Civ. Infrastructure Eng., 2016

2015
A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks.
J. Sensors, 2015

Distributed One-Class Support Vector Machine.
Int. J. Neural Syst., 2015

Truss Analysis Discussion and Interpretation Using Linear Systems of Equalities and Inequalities.
CoRR, 2015

An Alternate Double-Single Track Proposal for High-Speed Peripheral Railway Lines.
Comput. Aided Civ. Infrastructure Eng., 2015

2014
A hierarchical optimization problem: Estimating traffic flow using Gamma random variables in a Bayesian context.
Comput. Oper. Res., 2014

A continuous bi-level model for the expansion of highway networks.
Comput. Oper. Res., 2014

On the Probabilistic and Physical Consistency of Traffic Random Variables and Models.
Comput. Aided Civ. Infrastructure Eng., 2014

2013
A Multiclass User Equilibrium Model Considering Overtaking Across Classes.
IEEE Trans. Intell. Transp. Syst., 2013

Deriving the Upper Bound of the Number of Sensors Required to Know All Link Flows in a Traffic Network.
IEEE Trans. Intell. Transp. Syst., 2013

A Minimum Volume Covering Approach with a Set of Ellipsoids.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A Model for Continuous Dynamic Network Loading Problem with Different Overtaking Class Users.
J. Intell. Transp. Syst., 2013

A percentile system optimization approach with and without path enumeration.
Comput. Oper. Res., 2013

Application of Observability Techniques to Structural System Identification.
Comput. Aided Civ. Infrastructure Eng., 2013

On the Qualities of a Leading Journal.
Comput. Aided Civ. Infrastructure Eng., 2013

Optimal engineering design via Benders' decomposition.
Ann. Oper. Res., 2013

Estimating the parameters of a fatigue model using Benders' decomposition.
Ann. Oper. Res., 2013

2012
Stochastic Demand Dynamic Traffic Models Using Generalized Beta-Gaussian Bayesian Networks.
IEEE Trans. Intell. Transp. Syst., 2012

A FIFO Rule Consistent Model for the Continuous Dynamic Network Loading Problem.
IEEE Trans. Intell. Transp. Syst., 2012

2011
Link Flow Estimation in Traffic Networks on the Basis of Link Flow Observations.
J. Intell. Transp. Syst., 2011

2010
Matrix Tools for General Observability Analysis in Traffic Networks.
IEEE Trans. Intell. Transp. Syst., 2010

Optimal Use of Plate-Scanning Resources for Route Flow Estimation in Traffic Networks.
IEEE Trans. Intell. Transp. Syst., 2010

2009
Multivariate order statistics via multivariate concomitants.
J. Multivar. Anal., 2009

Combined regression models.
Comput. Stat., 2009

An Exponential Model for Damage Accumulation.
Commun. Stat. Simul. Comput., 2009

On multivariate order statistics. Application to ranked set sampling.
Comput. Stat. Data Anal., 2009

2008
The Observability Problem in Traffic Models: Algebraic and Topological Methods.
IEEE Trans. Intell. Transp. Syst., 2008

Sensitivity Analysis in Calculus of Variations. Some Applications.
SIAM Rev., 2008

Sensitivity analysis in optimization and reliability problems.
Reliab. Eng. Syst. Saf., 2008

Dealing with the multiplicity of solutions of the <i>l</i><sub>1</sub> and <i>l</i><sub>∞</sub> regression models.
Eur. J. Oper. Res., 2008

Semi-parametric nonlinear regression and transformation using functional networks.
Comput. Stat. Data Anal., 2008

Introduction.
Comput. Aided Civ. Infrastructure Eng., 2008

Traffic Estimation and Optimal Counting Location Without Path Enumeration Using Bayesian Networks.
Comput. Aided Civ. Infrastructure Eng., 2008

The Observability Problem in Traffic Network Models.
Comput. Aided Civ. Infrastructure Eng., 2008

2007
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition.
Neural Comput., 2007

Observability in linear systems of equations and inequalities: Applications.
Comput. Oper. Res., 2007

The danger model: application to a competitive market.
Comput. Manag. Sci., 2007

2006
Solving Ordinary Differential Equations with Range Conditions. Applications.
SIAM Rev., 2006

Interpreting linear systems of equalities and inequalities. Application to the water supply problem.
Numer. Linear Algebra Appl., 2006

A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis.
J. Mach. Learn. Res., 2006

Functional Networks and Analysis of Variance for Feature Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response.
IEEE Trans. Neural Networks, 2005

Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

a new wrapper method for feature subset selection.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
A General Method for Local Sensitivity Analysis With Application to Regression Models and Other Optimization Problems.
Technometrics, 2004

A measure of fault tolerance for functional networks.
Neurocomputing, 2004

Shear strength prediction using dimensional analysis and functional networks.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique.
Reliab. Eng. Syst. Saf., 2003

An alternative approach for addressing the failure probability-safety factor method with sensitivity analysis.
Reliab. Eng. Syst. Saf., 2003

Recovering Missing Data with Functional and Bayesian Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Linear Least-Squares Based Methods for Neural Networks Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Accelerating the convergence speed of neural networks learning methods using least squares.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Computing failure probabilities. Applications to reliability analysis.
Reliab. Eng. Syst. Saf., 2002

A Global Optimum Approach for One-Layer Neural Networks.
Neural Comput., 2002

Orthogonal Method for Linear Systems. Preconditioning.
Proceedings of the Computational Science - ICCS 2002, 2002

Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks.
Proceedings of the Artificial Neural Networks, 2002

2001
Estimating transition-probabilities in a dynamic graphic model with unobservable variables.
IEEE Trans. Reliab., 2001

Some Applications of Functional Networks in Statistics and Engineering.
Technometrics, 2001

An Orthogonally Based Pivoting Transformation of Matrices and Some Applications.
SIAM J. Matrix Anal. Appl., 2001

Optimal Transformations in Multiple Linear Regression Using Functional Networks.
Proceedings of the Connectionist Models of Neurons, 2001

A Measure of Noise Immunity for Functional Networks.
Proceedings of the Connectionist Models of Neurons, 2001

2000
A Minimax Method for Learning Functional Networks.
Neural Process. Lett., 2000

A general framework for functional networks.
Networks, 2000

1999
Functional networks with applications: a neural-based paradigm [Book Review].
IEEE Trans. Neural Networks, 1999

An expert system for coherent assessment of probabilities in multigraph models.
Networks, 1999

Potential approach in marginalizing Gibbs models.
Int. J. Approx. Reason., 1999

1998
Marginalizing in Undirected Graph and Hypergraph Models.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Improving Search-Based Inference in Bayesian Networks.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997
Expert Systems and Probabilistic Network Models
Monographs in Computer Science, Springer, ISBN: 978-1-4612-2270-5, 1997

Sensitivity analysis in discrete Bayesian networks.
IEEE Trans. Syst. Man Cybern. Part A, 1997

Some Characterizations of Families of Surfaces Using Functional Equations.
ACM Trans. Graph., 1997

Learning and Updating of Uncertainty in Dirichlet Models.
Mach. Learn., 1997

Estimating extreme probabilities using tail simulated data.
Int. J. Approx. Reason., 1997

Tail Uncertainty Analysis in Complex Systems.
Artif. Intell., 1997

Symbolic propagation and sensitivity analysis in Gaussian Bayesian networks with application to damage assessment.
Artif. Intell. Eng., 1997

1996
A new method for efficient symbolic propagation in discrete Bayesian networks.
Networks, 1996

A modified simulation scheme for inference in Bayesian networks.
Int. J. Approx. Reason., 1996

Tail Sensitivity Analysis in Bayesian Networks.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Goal Oriented Symbolic Propagation in Bayesian Networks.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Error Estimation in Approximate Bayesian Belief Network Inference.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Parametric Structure of Probabilities in Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995


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