<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462019000100257</article-id>
<article-id pub-id-type="doi">10.13053/cys-23-1-2906</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Identificación de especies de roedores usando aprendizaje profundo]]></article-title>
<article-title xml:lang="en"><![CDATA[Identification of Rodent Species Using Deep Learning]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Seijas]]></surname>
<given-names><![CDATA[Cesar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Montilla]]></surname>
<given-names><![CDATA[Guillermo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Frassato]]></surname>
<given-names><![CDATA[Luigi]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Yttrium-Technology Corp.  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Carabobo Facultad de Ingeniería Centro de Procesamiento de Imágenes]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Venezuela</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2019</year>
</pub-date>
<volume>23</volume>
<numero>1</numero>
<fpage>257</fpage>
<lpage>266</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462019000100257&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462019000100257&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462019000100257&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: En este artículo se describe un sistema identificador de especies de roedores usando herramientas computacionales del paradigma de aprendizaje profundo. Las especies identificadas son 4 tipos diferentes de roedores y la identificación se logra usando técnicas de inteligencia artificial aplicadas a imágenes de estos roedores en su hábitat natural. Estas imágenes fueron captadas, mediante sistemas de cámaras activadas en modo automático, ocultas en el hábitat natural de las especies en estudio, en condiciones, tanto, de luz del día como también nocturnas y etiquetadas por expertos. El conjunto de imágenes acopiada constituye el conjunto de datos para entrenamiento de tipo supervisado, de 1411 imágenes de 4 clases. El identificador desarrollado, es un clasificador multiclase, basado en el paradigma de aprendizaje profundo del amplio tema del aprendizaje automático, lo que permite construir un sistema de altísimo desempeño. El clasificador consta de tres etapas conectadas en cascada, siendo la primera etapa, una etapa de pre-procesamiento, luego, está una red neuronal convolucional (CNN, de sus siglas en inglés) para extracción de rasgos, implementada con una arquitectura pre-entrenada usando el método de aprendizaje por transferencia; específicamente, la CNN usada es la conocida VGG-16; a esta segunda etapa, se le conecta como etapa siguiente y final, una máquina de vectores de soporte (SVM, de sus siglas en inglés) que actúa como la etapa clasificadora. A fines de comparación, los resultados se contrastan contra modelos de identificación automáticos anteriormente publicados, los resultados logrados con nuestro identificador son significativamente superiores a los alcanzados en investigaciones previas en el tema.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: In this article, we describe a rodent species identification system using computational tools of the deep learning paradigm. The identified species are 4 different types of rodents and the identification is achieved using artificial intelligence techniques applied to images of these rodents in their natural habitat. These images were captured, using camera systems activated in automatic mode, hidden in the natural habitat of the species under study, under both daylight and nighttime conditions and labeled by experts. The collected image set constitutes the data set for supervised training of 1411 images of 4 classes. The identifier developed is a multiclass classifier, based on the deep learning paradigm of the broad topic of machine learning, which allows to build a high performance system. The classifier consists of three stages connected in cascade, being the first stage, a pre-processing stage, then, there is a convolutional neural network (CNN) for feature extraction, implemented with a pre-trained architecture using the method of learning by transfer; specifically, the CNN used is the well-known VGG-16; to this second stage, a support vector machine (SVM) is connected as the next and final stage, which acts as the classification stage. For comparative purposes, the results are contrasted against automatic identification models previously published, the results achieved with our identifier are significantly higher than those achieved in previous research on the subject.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Identificación de especies]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje profundo]]></kwd>
<kwd lng="es"><![CDATA[red neuronal convolucional pre-entrenada]]></kwd>
<kwd lng="en"><![CDATA[Species identification]]></kwd>
<kwd lng="en"><![CDATA[deep learning]]></kwd>
<kwd lng="en"><![CDATA[pretrained convolutional neural networks]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Galluzzi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Armanini]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferrari]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Zibordi]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Nocentini]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Mustoni]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Habitat Suitability Models, for ecological study of the alpine marmot in the central Italian Alps]]></article-title>
<source><![CDATA[Ecological Informatics]]></source>
<year>2016</year>
<volume>17</volume>
<page-range>10-7</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[O'Connell]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Nichols]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ullas-Karanth]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Camera Traps in Animal Ecology]]></article-title>
<source><![CDATA[Methods and Analyses]]></source>
<year>2011</year>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Tony]]></surname>
<given-names><![CDATA[X. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhihai]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Roland]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Tavis]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Convolutional Neural Network based species recognition for wild animal monitoring]]></article-title>
<source><![CDATA[IEEE International Conference on Image Processing (ICIP)]]></source>
<year>2015</year>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Read]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Perez-Cruz]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Deep Learning for Multi-label Classification]]></source>
<year>2014</year>
<publisher-name><![CDATA[Cornell University Library]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Du]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Shanker]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<source><![CDATA[Deep Learning for Natural Language Processing]]></source>
<year>2013</year>
<publisher-name><![CDATA[Department of Computer and Information Sciences, University of Delaware]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dey]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Balas]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Ashour]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Fuqian]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Convolutional neural network based clustering and manifold learning method for diabetic plantar pressure imaging dataset]]></article-title>
<source><![CDATA[Journal of Medical Imaging and Health Informatics]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rosales]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Golukovis]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Krintz]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wolski]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Where's The Bear? - Automating Wildlife Image Processing Using IoT and Edge Cloud Systems]]></article-title>
<source><![CDATA[IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI)]]></source>
<year>2017</year>
<publisher-name><![CDATA[IEEE Xplore]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Kays]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Jansen]]></surname>
<given-names><![CDATA[P. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated identification of animal species in camera trap images]]></article-title>
<source><![CDATA[(EURASIP) Journal on Image and Video Processing]]></source>
<year>2013</year>
<numero>52</numero>
<issue>52</issue>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guignard]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Weinberger]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<source><![CDATA[Animal identification from remote camera images]]></source>
<year>2016</year>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gomez]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Diez]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Salazar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Diaz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds]]></article-title>
<source><![CDATA[(ISVC&#8217;16) Advances in Visual Computing]]></source>
<year>2016</year>
<volume>10072</volume>
<page-range>747-56</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thom]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Unified Detection System for Automatic, Real-Time, Accurate Animal Detection in Camera Trap Images from the Arctic Tundra]]></source>
<year>2017</year>
<publisher-name><![CDATA[University Artic of Norway]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Norouzzadeh]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kosmala]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Swanson]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Packer]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Clune]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatically identifying wild animals in camera-trap images with deep learning]]></article-title>
<source><![CDATA[Proceedings the National Academy of Sciences]]></source>
<year>2017</year>
<volume>115</volume>
<numero>25</numero>
<issue>25</issue>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Giraldo-Zuluaga]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gómez]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Salazar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Díaz-Pulido]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Camera-trap images segmentation using multi-layer Robust Principal Component Analysis]]></article-title>
<source><![CDATA[The Visual Computer]]></source>
<year>2017</year>
<page-range>1-13</page-range><publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cheema]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Anand]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic Detection and Recognition of Individuals in Patterned Species]]></article-title>
<source><![CDATA[Machine Learning and Knowledge Discovery in Databases]]></source>
<year>2017</year>
<page-range>27-38</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Christiansen]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Steen]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Nyholm]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Karstoft]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated Detection and Recognition of Wildlife using Thermal Cameras]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Simonyan]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Zisserman]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Very Deep Convolutional Networks for Large-scale Image Recognition]]></article-title>
<source><![CDATA[International Conference on Learning Representations (ICLR'15)]]></source>
<year>2015</year>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Learning using Support Vector Machines]]></article-title>
<source><![CDATA[International Conference on Machine Learning (ICML)]]></source>
<year>2015</year>
<publisher-name><![CDATA[Cornell University Library]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Betancourt]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Las Máquinas de Soporte Vectorial (SVMs)]]></article-title>
<source><![CDATA[Scientia et Technica]]></source>
<year>2015</year>
<volume>XI</volume>
<numero>27</numero>
<issue>27</issue>
<publisher-name><![CDATA[UTP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Trnovszky]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Kamencay]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Orjesek]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Benco]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sykora]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Animal Recognition System Based on Convolutional Neural Network]]></article-title>
<source><![CDATA[Digital Image Processing and Computer Graphics]]></source>
<year>2017</year>
<volume>15</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Raj]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<source><![CDATA[On the Origin of Deep Learning]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chollet]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Keras documentation]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="book">
<collab>Mathworks Team</collab>
<source><![CDATA[Image Segmentation Tutorial ver. 1.6]]></source>
<year>2015</year>
<publisher-name><![CDATA[Image Analyst]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Frossard]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[VGG in Tensorflow]]></source>
<year>2016</year>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
