Publicaciones Selectas | CIMAT

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Publicaciones Selectas

2017

•    Montalvo-Urquizo, M.A. Moreles Vázquez, S. Botello Rionda (Eds.). Notas de Modelación y Métodos Numéricos VII: Mathematical Models for Material Sciences and Industrial Applications. Ed. CIMAT-CIMNE, México-España (2017).

•    J. Montalvo-Urquizo. Thermomechanics: Physical models and mathematical equations, en J. Montalvo-Urquizo, M.A. Moreles Vázquez, S. Botello Rionda (Eds). Notas de Modelación y Métodos Numéricos VII: Mathematical Models for Material Sciences and Industrial Applications. Ed. CIMAT-CIMNE, México-España (2017).

•    J. Montalvo-Urquizo, C. Niebuhr, M. G. Villarreal-Marroquín. Simulation-based Multiobjective Optimization for Milling Processes, Zentrum fur Technomathematik, Fachbereich 3 – Mathematik und Informatik, Technical Report 17–02 (2017).

•    J. Montalvo-Urquizo, M. G. Villarreal-Marroquín, J.J. Hernández-Castillo, H. E. Hernández-González. MWTP: Monterrey Weather, Traffic and Pollution Database for Geospatial Analysis, arXiv:1703.04526 (2017).

•    B. N. Saha, N. Ray, S. McArdle, and K. Ley, “Selecting the optimal sequence for deformable registration of microscopy image sequences using a two-stage MST-based clustering algorithm”, Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 353-361, (2017). 

•    B. N. Saha, N. Ray, S. McArdle, and K. Ley, “A two-stage Minimum Spanning Tree (MST) based clustering algorithm for 2D deformable registration of time sequenced images”, IEEE international Conference on Image Processing (ICIP), pp. 1472 – 1476, (2017).   

•    D. Ortega-Aranda, I. Lopez-Juarez, B. N. Saha, R. Osorio-Comparan, M. Peña-Cabrera, G. Lefrnc, “Learning Contact States during Peg-in-hole Assembly with a Dual-Arm Robot”, accepted at IEEE CHILECON, pp. 1-6, (2017).

•    A. Sauceda, E. Rodriguez, J. Romero, D. Ortega and B. N. Saha, “Implementation of Computer Vision Guided Peg-Hole Insertion Task Performed by Robot through LabVIEW”, MICAI 2016, Part I, Lecture Notes in Artificial Intelligence (LNAI) 10061, pp. 437–458, (2017).

•    J. Romero-Hdz, B. N. Saha, S. Tstutsumia, R. Fincatoa, and G. Toledo, “Statistical validation of weldment deformation through welding simulation and 3d optical scanning,” in Proceedings of the Welding Structure Symposium, (2017), pp. 1–8.

•    J. Romero-Hdz, S. Tstutsumia, R. Fincatoa, and B. N. Saha, “Influence of welding sequence on residual stress and deformation pattern using conventional and ltt wires,” in Proceedings of the Welding Structure Symposium, (2017), pp. 1–8.

•    J. Romero-Hdz, B. N. Saha, G. Toledo-Ramirez, and I. Lopez, “A Reinforcement Learning Based Approach for Welding Sequence Optimization”, Transaction on Intelligentized Welding Manufacturing, (IWIWM), pp. 33-45, (2017).

•    T. P. Mukhopadhyay, B. N. Saha, N. Gurieva, and R. T. Lopez, “Rosa Mexicano: The Social Optics of a Color Neologism,” Journal of the International Colour Association, pp. 1-16, 2017.

•    T. P. Mukhopadhyay, M. Siprut, and B. N. Saha, “Digital Diversions in Education: Interactive Multimedia for Adolescent Motivation in Unilateral Classroom Scenarios”, International Journal of Innovation, Creativity and Change, vol. 3, pp. 60 – 74, (2017).

•    M.G. Villarreal-Marroquín, P-H. Chen, M. Rachmat, T.J. Santner, A.D. Dean, J.M. Castro. Multiobjective optimization of Injection Molding using a calibrated predictor based on physical and simulated data, Journal of Polymer Engineering & Science, Volume 57, Issue 3, pp. 248–257 (2017).

2016
•    Francisco J. Caro-Lopera, Graciela González-Farías and N.Balakrishnan. Matrix-variate distribution theory under elliptical models - 4: Joint distribution of latent roots of covariance matrix and the largest and smallest latent roots. Journal of Multivariate Analysis, Vol.145, pp 224–235. ISSN: 0047-259X (2016).

•    Berrones, A., Jiménez, E., Alcorta-García, M. A., Almaguer, F. J., & Peña, B. Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series. Neurocomputing, 175, 555-563 (2016).

•    A. S. Cienfuegos, B. N. Saha, J. Romero-Hdz, and D. Ortega, “Efficient Integration of Template Matching , Calibration and Triangulation for Automating Peg Hole Insertion Task Using Two Cameras”, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE), vol. 3, issue. 11, pp. 61-70, November, (2016). 

•    E. Rodriguez, B. N. Saha,  J. Romero-Hdz, and D. Ortega, “A Multi-objective Differential Evolution Algorithm for Robot Inverse Kinematics”, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE), ISSN: 2348-8387, vol. 3, issue. 11, pp. 71-79, November, (2016). 

•    J. Alonso-Tovar, B. N. Saha, J. Romero-Hdz., and D. Ortega, “Bayesian Network  Classifier with Efficient Statistical Time-Series Features for the Classification of Robot Execution Failures”, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE), ISSN: 2348-8387, vol. 3, issue. 11, pp. 80-89, November, (2016). 

•    J. Romero-Hdz, B. N. Saha, and G. Toledo, “Welding Sequence Optimization through a Modified Lowest Cost Search Algorithm”, Journal of Computer Science and Engineering, vol. 6, no. 2, pp. 25-32, (2016).

•    J. Romero-Hd, S. Aranda, G. Toledo-Ramirez, J. Segura and B. N. Saha, “Deformation and residual stress based multiobjective genetic algorithm for welding sequence optimization”, Journal of Research in Computing Science, vol. 132, pp. 155-179, (2016).

•    J. Romero-Hdz, S. Aranda, G. Toledo-Ramirez, J. Segura and B. N. Saha, “An elitism based genetic algorithm for welding sequence optimization to reduce deformation”, Accepted in Journal of Research in Computing Science, vol. 121, pp. 17-36, (2016).

•    J. Romero-Hdz, B. N. Saha, G. Toledo-Ramirez, and D. Beltran-Bqz, “Welding Sequence Optimization Using Artificial Intelligence Techniques, an Overview”, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE),  vol. 3, issue. 11, pp. 90-95, November, 2016. 

•    J. Romero-Hdz, B. N. Saha, and G. Toledo, “Deformation Driven Fast and Approximate Shortest Path Algorithm for Selecting a Pseudo-Optimal Welding Sequence”, Global Conference on Engineering and Applied Science, vol. GCEAS-487, pp. 439-450, (2016). 

•    J. Romero-Hdz, B. N. Saha, and G. Toledo-Ramirez, “A multiobjective genetic algorithm for welding sequence optimization”, under preparation, pp. 1–20, (2016).

•    M.G. Villarreal-Marroquín, P-H. Chen, M. Rachmat, T.J. Santner, A.D. Dean, J.M. Castro. Using physical and simulated data to improve injection molding performance. PSE Plastics Research Online. DOI: 10.2417/spepro.006773 (2016).
 

2015
•    Francisco J. Caro-Lopera, Graciela González-Farías and N.Balakrishnan. The Generalized Pascal Triangles and the Matrix Variate Jensen Logistic Distribution. Communication in Statistics. Volume 44, Issue 13, pp 2738-2752. ISSN. 1532-415X (2015).

•    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).

2014

•    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).
 

2013
•    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).

2012

•    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
 
•    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).
 

2011

•    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).
 

2010

•    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).
 

2009

•    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).
 

2008

•    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).
 

2004

•    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).
 

1994

•    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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