Publicaciones Selectas | CIMAT

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Publicaciones Selectas

 

  • O. Dalmau, T. Alarcón and G. González-Farías. Kernel Multilogit Algorithm for multiclass classification. Computational Statistics and Data Analysis, Vol. 81, pp. 199-206. ISSN: 0167-9473 (2015).
  • F. J. Caro-Lopera, G. González-Farías and N. Balakrishnan. On Generalized Wishart Distributions- I: Likelihood Ratio Test for Homogeneity of Covariance Matrices. Sankhya A: Vol. 76 (2), pp. 179-194. ISSN: 0976-836X (2014)
  • F. J. Caro-Lopera, G. González-Farías and N. Balakrishnan. On Generalized Wishart Distributions - II: Sphericity Test. Sankhya. Sankhya A: Vol. 76 (2), pp. 195-218. ISSN: 0976-836X (2014).
  • A. Costilla-Esquivel, F. Corona-Villavicencio , J. G. Velasco-Casteñón, C. E. Medina-De la Garza, R. T. Martínez-Villareal, D. E. Cortes-Hernández, L. E. Ramírez-López and G. González-Farías. A relationship between acute respiratory illnesses and weather. Epidemiology & Infection, Vol. 142 (7), pp. 1375-1383. ISSN 2322-2298 (2014).
  • D. Hömberg, Q. Liu, J. Montalvo-Urquizo, D. Nadolski, T. Petzold, A. Schmidt, and A. Schulz. Simulation of multi-frequency-induction-hardening including phase transitions and mechanical effects, WIAS Preprint 1975 (2014).
  • R. Macías and J. F. Vera. Multidimensional scaling as a tool to determine the number of cluster from one-mode dissimilarity matrix in a k-means framework.  Submitted to  Multivariate  Behavioral Research (2014)
  • J. Pérez, J. P. Pérez and J. Hernández. Trajectory tracking of complex dynamical systems using delayed recurrent neural networks via PID control law. International Journal of Modern Communication Technologies and Research, Vol. 2 (2), pp. 2321-0850 (2014).
  • J. F. Vera, R. Macías and W. J. Heiser. Variance based cluster selection criteria in a k-means framework for one-mode dissimilarity matrix. To appear in Psychometrika (2014).
  • F.J. Caro-Lopera, G. González-Farías and N. Balakrishnan. Determinants, permanents and some applications to statistical shape theory. Journal of Multivariate Analysis, Vol. 114, pp. 29-39. ISSN: 0047-259X (2013).
  • J. Montalvo-Urquizo, Q. Liu and A. Schmidt. Simulation of quenching involved in induction hardening including mechanical effects. Computational Materials Science, Vol. 79, pp. 639-649, Elsevier. DOI: 10.1016/j.commatsci.2013.06.058 (2013).
  • J. Montalvo-Urquizo and A. Schmidt. Simulation Technologies: FEM-Simulation, in "Micro Metal Forming", F. Vollertsen (Ed.). Production & Process Engineering, S. pp. 347-359, Springer Verlag. ISBN: 978-3-642-30915-1. DOI: 10.1007/978-3-642-30916-8 (2013).
  • J. Montalvo-Urquizo, P. Bobrov and W. Brannath. Simulation Technologies: Hybrid Simulation, in "Micro Metal Forming", F. Vollertsen (Ed.). Production & Process Engineering, S. pp. 359-368, Springer Verlag. ISBN: 978-3-642-30915-1. DOI: 10.1007/978-3-642-30916-8 (2013).
  • J. Montalvo-Urquizo and M. Ungermann. Size Selection for Representative Vol. Elements on Texturized Thin Metallic Sheets under Elastic Loads. PAMM 13, pp. 265-266, WILEY-VCH, DOI: 10.1002/pamm.201310128 (2013).
  • J. Pérez, J. P. Pérez, S. Arroyo, A. Flores and J. Hernández. Trajectory tracking error using PID control law for a 2 DOF helicopter model via adaptive time delay neural networks. Memorias del Congreso Nacional de Control Automático (2013).
  • B. N. Saha, G. Kunapuli, N. Ray, J. A. Maldjian and S. Natarajan. AR-Boost: Avoiding Overfitting by a Robust Data-Driven Regularization Strategy. Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD), Part III, LNAI 8190, pp. 1-16 (2013).
  • M.G, Villarreal-Marroquín, J.M. Castro, O.L. Chacón-Mondragón and M. Cabrera-Ríos. Optimisation via simulation: a metamodeling-based method and a case study. European Journal of Industrial Engineering, Vol.7(3), pp.275-294 (2013).
  • M.G. Villarreal-Marroquín, J.D. Svenson, F. Sun, T.J. Santner, A.D. Dean and J.M. Castro. A Comparison of two Metamodel-Based Methodologies for Multiple Criteria Simulation Optimization using an Injection Molding Case Study. Journal of Polymer Engineering, Vol. 33(3), pp. 193-209 (2013).
  • J. F. Vera and R. Macías, W. J. Heiser. Cluster differences unfolding for two-way two-mode preferences rating data. Journal of Classification, Vol.30(3), pp.370-396. DOI: 10.1007/s00357-013-9144-5 (2013).
  • V. Muñiz, J. Van Horebeek and R. Ramos. An interpretable version of Kernel PCA and its application to large scale data analysis. Proceedings of SCo2013 - Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction. Milano (ITALY), 9-11 September, (2013).
  • V. Muniz, J. Van Horebeek and R. Ramos. An approximation to Kernel PCA with Gaussian Kernels by using random projections. Proceedings of the 43rd Symposium on the Interface of Computing Science and Statistics. Houston Tx (2012).
  • P. Bobrov and J. Montalvo-Urquizo. Calculation of effective elastic constants for texturized steel through numerical experiments (in Russian). 7th Russian Conference on Science and Technology: Mechanics of micro materials and damage. Ekaterinburg, Russia (2012)
  • P. Bobrov, J. Montalvo-Urquizo, J. Lütjens, W. Brannath, W. Wosniok, A. Schmidt and M. Hunkel. Ein stochastisches Modell zur Rekonstruktion elastischer Eigenschaften für texturierte Metalle. Kolloquium Mikroproduktion und Abschlusskolloquium SFB 499, Karlsruhe, Germany. DOI: 10.5445/KSP/1000024378  (2012)
  • S. Bökenheide, J. Montalvo-Urquizo and M. Wolff. Modelling of creep and TRIP during heating and austenitisation. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS). Vienna, Austria (2012).
  • M. Cabrera-Ríos, A. Salazar-Aguilar, M.G. Villarreal-Marroquín and A.P. Anaya Salazar. Artificial Neural Networks-based forecasting: an attractive option for Just-in-time Systems. Just in time Systems, R.Z. Ríos-Mercado and Y. Ríos-Solis (Eds), Springer Series on Optimization and its Applications, Vol. 60, Part 2, pp. 245-259 (2012).
  • R. Cavazos-Cadena and G. González-Farías. Optimal Reparametrization and large sample likelihood inference for the location-scale skew-normal model. Periodica Mathematica Hungarica, Vol. 64 (2), pp. 181-211. ISSN (printed): 0031-5303 (2012).
  • J. Hernández. Filtrations on higher Chow groups and arithmetic normal functions. PhD Thesis, University of Alberta. hdl.handle.net/10048/ (2012).
  • J. Montalvo-Urquizo, P. Bobrov, W. Wosniok and A. Schmidt. Elastic responses of texturized microscale materials using FEM simulations and stochastic material properties. Mechanics of Materials, Vol.47, pp.1-10, Elsevier. DOI: 10.1016/j.mechmat.2011.11.008 (2012).
  • J. Montalvo-Urquizo. Material libraries for texturized thin metal sheets in elastic range. PAMM, Vol. 12 (1), pp.235-236, WILEY-VCH. DOI: 10.1002/pamm.201210108 (2012).
  • B. N. Saha. The evolution of snake toward automation for multiple blob- object segmentation. LAP Lambert Academic Publishing ISBN: 978-3-659-25963-0 (2012).
  • B. N. Saha, N. Ray, R. Greiner, A. Murtha and H. Zhang. Quick detection of brain tumors and edemas: A bounding box method using symmetry. Computarizad Medical Imagina and Trapicas, Vol.36, pp.95-107 (2012).
  • J. Montalvo-Urquizo. Mechanic-stochastic model for the simulation of elastic material response in thin metallic polycrystals. 7th GRACM International Congress on Computational Mechanics, Athen, Greece (2011).
  • J. Montalvo-Urquizo, P. Bobrov, W. Brannath, W. Wosniok, A. Schmidt, M. Hunkel and J. Lütjens. Stochastic model for textured polycrystals. 5th International Conference CHEBYSHEV (2011).
  • M.G. Villarreal-Marroquín, M. Cabrera-Ríos and J.M. Castro. A multicriteria simulation optimization method for injection molding. Journal of Polymer Engineering, Vol.31 (5), pp. 397-407 (2011).
  • B. N. Saha, N. Ray, and H. Zhang. Automating Snakes for Multiple Objects Detection. Proceedings of the 10th Asian Conference On Computer Vision (ACCV), Vol. 6494/2011, Part III, pp. 39 -51 (2010).
  • F. J. Caro-Lopera, J. A. Díaz-García and G. González-Farías. Noncentral elliptical configuration density. Journal of Multivariate Analysis, Vol. 101 (1), pp. 32-43. ISSN: 0047-259X (2009).
  • G. González-Farías, J. A. Domínguez-Molina, and R. M. Rodríguez-Dagnino. Efficiency of the approximated shape parameter estimator in the generalized Gaussian distribution. IEEE Transactions on Vehicular Technology, Vol. 58 (8), pp. 4214-4223. ISSN: 0018-9545 (2009)
  • J. Montalvo-Urquizo, Z. Akbay and A. Schmidt. Adaptive finite element models applied to the laser welding problem. Computational Materials Science, Vol. 46(1), pp. 245-254, Elsevier. DOI: 10.1016/j.commatsci.2009.02.037 (2009).
  • V. Muñiz, J. Van Horebeek and R. Ramos. Cost Sensitive Binary AdaBoost. Submitted.
  • V. Muñiz, M. Rodríguez, F. Castillo-García, G. González-Farías, M. Casas-Martínez, A. Ulloa, J. Pinto-Castillo, S. Torreblanca-López and R. Danis-Lozano. Relative abundance of Aedes aegypti epidemiologically associated with risk of dengue transmission in Tapachula, southern Mexico. Submitted.
  • B. N. Saha, and N. Ray. Image thresholding by variational minimax optimization. Pattern Recognition, Vol. 42 (5), pp. 843-856 (2009).
  • J. F. Vera,  R. Macías and J. M. Angulo. A latent class MDS model with spatial constraints for non-stationary spatial covariance estimation.  Stochastic Environmental Research and Risk Assessment. Vol. 23, pp.769-779. DOI  10.1007/S11336-008-9104-X (2009).
  • J. F. Vera, R. Macías and W.J. Heiser.  A dual latent class unfolding model for two-way two-mode preferente rating data. Computational Statistics and Data Analysis, Vol.53, pp.3231-3244. DOI 10.1016/j.csda.2008.07.019 (2009).
  • J. F. Vera, R. Macías and W.J. Heiser. A latent class multidimensional scaling model for two-way one-mode continuous rating dissimilarity data. Psychometrika, Vol.74, pp. 297-315. DOI  10.1007/S11336-008-9104-X (2009).
  • M.G. Villarreal-Marroquín, M.C. Acosta-Cervantes, J.L. Martínez-Flores and M. Cabrera-Ríos. Time Series: Empirical Characterization and Artificial Neural Network-based Selection of Forecasting Techniques. Intelligent Data Analysis: An International Journal, Vol.13 (6), pp.969-982 (2009).
  • J. F. Vera,  R. Macías and J.M. Angulo.  Non-stationary spatial covariance structure estimation in oversampled domains by cluster differences scaling with spatial constraints.  Stochastic Environmental Research and Risk Assessment, Vol. 22, pp. 95-106. DOI 10.1007/s00477-006-0100-3 (2008).
  • M.G. Villarreal-Marroquín, M.L. Sánchez-Peña, C.E. Castro, J.M. Castro and M. Cabrera-Ríos. Use of Data Envelopment Analysis and Clustering in Multiple Criteria Optimization. Intelligent Data Analysis: An International Journal, Vol.12 (1), pp.89-101 (2008).
  • V. Muñiz, J. Van Horebeek, R. Ramos. Measuring the Importance of Variables in Kernel PCA. Proceedings Int. Conference on Computational Statistics (COMPSTAT), 517-524, Physica Verlag (2008).
  • J. A. Domínguez-Molina, G. González-Farías and R. Ramos Quiroga.  Skew-Normality in Stochastic Frontier Analysis. Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality. M. Genton (Eds.), CRC/Chapman & Hall, ISBN 1-58488431-2. Chapter 13, (2004).
  • G. González Farías, A. Domínguez-Molina and A. Gupta. Additive Properties of Skew Normal Random Vectors. Journal of Statistical Planning and Inference. Vol. 126, pp. 521-534. ISSN: 0378-3758 (2004).
  • G. González-Farías, J. A. Domínguez-Molina and A. K. Gupta. The Closed Multivariate Skew-Normal Distribution. Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality. M. Genton (Eds.), CRC/Chapman & Hall, ISBN 1-58488431-2. Chapter 2, (2004).
  • S. G. Pantula, G. González-Farías and W. A. Fuller. A comparison of unit root test criteria. ASA Journal of Business & Economics Statistics, Vol. 12(4), pp.449-459. ISSN: 0735-0015 (1994).
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