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Listar C.U. UAEM Texcoco por autor "LOPEZ CHAU, ASDRUBAL"

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  • A hybrid algorithm to improve the accuracy of support vector machines on skewed data-sets 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Huang, De-Shuang (Springer, 2014)
    Over the past few years, has been shown that generalization power of Support Vector Machines (SVM) falls dramatically on imbalanced data-sets. In this paper, we propose a new method to improve accuracy of SVM on imbalanced ...
  • Analysis of medical opinions about the nonrealization of autopsies in a Mexican hospital using association rules and bayesian networks 
    RUBIO DELGADO, ELAYNE; Rodríguez Mazahua, Lisbeth; PALET GUZMAN, JOSE ANTONIO; Cervantes Canales, Jair; SANCHEZ CERVANTES, JOSE LUIS; PELAEZ CAMARENA, SILVESTRE GUSTAVO SERGIO; LOPEZ CHAU, ASDRUBAL (Hindawi, 2018-01-12)
    This research identifies the factors influencing the reduction of autopsies in a hospital of Veracruz. The study is based on the application of data mining techniques such as association rules and Bayesian networks in data ...
  • Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; YEE RENDON, ARTURO (Pattern Analysis and Applications, 2018-07-25)
    In this paper we introduce a method for color image segmentation by computing automatically the number of clusters the data, pixels, are divided into using fuzzy c-means. In several works the number of clusters is defined ...
  • Classification of mexican paper currency denomination by extracting their discriminative colors 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth (Springer, 2013)
    In this paper we describe a machine vision approach to recognize the denomination classes of the Mexican paper currency by extracting their color features. A banknote’s color is characterized by summing all the color vectors ...
  • Classification on imbalanced data sets, taking advantage of errors to improve performance 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL (Springer, 2015)
    Classification methods usually exhibit a poor performance when they are applied on imbalanced data sets. In order to overcome this problem, some algorithms have been proposed in the last decade. Most of them generate ...
  • Color characterization comparison for machine vision-based fruit recognition 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2015)
    In this paper we present a comparison between three color characterizations methods applied for fruit recognition, two of them are selected from two related works and the third is the authors’ proposal; in the three works, ...
  • Color image segmentation using saturated RGB colors and decoupling the intensity from the hue 
    García Lamont, Farid; Cervantes Canales, Jair; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Multimedia Tools and Applications, 2019-11-05)
    Although the RGB space is accepted to represent colors, it is not adequate for color processing. In related works the colors are usually mapped to other color spaces more suitable for color processing, but it may imply an ...
  • Computing the number of groups for color image segmentation using competitive neural networks and fuzzy c-means 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2016)
    Fuzzy C-means (FCM) is one of the most often techniques employed for color image segmentation; the drawback with this technique is the number of clusters the data, pixels’ colors, is grouped must be defined a priori. In ...
  • Contrast enhacenment of RGB color images by histogram equalization of color vectors' intensities 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2018-08-15)
    The histogram equalization (HE) is a technique developed for image contrast enhancement of grayscale images. For RGB (Red, Green, Blue) color images, the HE is usually applied in the color channels separately; due to ...
  • Data selection based on decision tree for SVM classification on large data sets 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth; RUIZ CASTILLA, JOSE SERGIO (Applied Soft Computing, 2015-08-18)
    Support Vector Machine (SVM) has important properties such as a strong mathematical background and a better generalization capability with respect to other classification methods. On the other hand, the major drawback of ...
  • Detection of Compund Leaves for Plant Identification 
    LOPEZ CHAU, ASDRUBAL; ROJAS HERNANDEZ, RAFAEL; TRUJILLO MORA, VALENTIN; CERVANTES CANALES, JAIR; RODRIGUEZ MAZAHUA, LISBETH; GARCIA LAMONT, FARID (IEEE Latin America Transactions, 2017-11-01)
    Automatic plant identification has been an important issue in the last years. Most of the state-of-the-art methods for this purpose use leaf features to predict the species. Despite there are many methods to extract different ...
  • Dichotomization of multilevel variables to detect hidden associations 
    LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth; García Lamont, Farid; QUINTANA LOPEZ, MARICELA; ROJAS HERNANDEZ, ALBERTO (Applied Sciences, 2022-12-16)
    A test of independence is commonly used to determine differences (or associations) between samples in a nominal level measurement. Fisher’s exact test and Chi-square test are two of the most widely applied tests of ...
  • Fisher’s decision tree 
    LOPEZ CHAU, ASDRUBAL; Cervantes Canales, Jair; LOPEZ GARCIA, LOURDES; García Lamont, Farid (Expert Systems with Applications, 2013-11-15)
    Univariate decision trees are classifiers currently used in many data mining applications. This classifier discovers partitions in the input space via hyperplanes that are orthogonal to the axes of attributes, producing a ...
  • Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL (Neural Computing and Applications, 2018-08-01)
    Most of the works addressing segmentation of color images use clustering-based methods; the drawback with such methods is that they require a priori knowledge of the amount of clusters, so the number of clusters is set ...
  • Interoperability of Sensors in Buildings for Monitoring the Search for Live Victims after Earthquakes 
    CUEVAS RASGADO, ALMA DELIA; GONZALEZ MORAN, CARLOS OMAR; LOPEZ CHAU, ASDRUBAL; Bröckl, Ulrich (Computación y Sistemas, 2022-02-01)
    This paper describes Rescue in Collapsed Building (RICB) a telemetry system for recovering victims inside a collapsed building due to an earthquake. The use of Artificial Neural Networks (ANN) with Raspberry Pi and sensors ...
  • Leaf Categorization Methods for Plant Identification 
    LOPEZ CHAU, ASDRUBAL; ROJAS HERNANDEZ, RAFAEL; TRUJILLO MORA, VALENTIN; CERVANTES CANALES, JAIR; RODRIGUEZ MAZAHUA, LISBETH; GARCIA LAMONT, FARID (Springer International Publishing, 2017)
    In most of classic plant identification methods a dichotomous or multi-access key is used to compare characteristics of leaves. Some questions about if the analyzed leaves are lobed, unlobed, simple or compound need to be ...
  • Parameter extraction in thin film transistors using artificial neural networks 
    VALDES GARCIA, ROBERTO CARLOS; García Lamont, Farid; GARCIA LOZANO, RODOLFO ZOLA; LOPEZ CHAU, ASDRUBAL; HERNANDEZ COMO, NORBERTO (Journal of Materials Science: Materials in Electronics, 2023-02-16)
    This work presents a method based on supervised learning for the extraction of parameters in Indium Gallium Zinc Oxide Thin-Film Transistors with aluminium contacts, as an alternative regarding analytical and optimisation ...
  • PSO-based method for svm classification on skewed data-sets 
    Cervantes Canales, Jair; García Lamont, Farid; Rodríguez Mazahua, Lisbeth; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO; Trueba Espinosa, Adrián (Neurocomputing, 2016-11-01)
    Support Vector Machines (SVM) have shown excellent generalization power in classification problems. However, on skewed data-sets, SVM learns a biased model that affects the classifier performance, which is severely damaged ...
  • Segmentation of images by color features: a survey 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth (Neurocomputing, 2018-05-31)
    Image segmentation is an important stage for object recognition. Many methods have been proposed in the last few years for grayscale and color images. In this paper, we present a deep review of the state of the art on color ...

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