<?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>S1405-55462022000100203</article-id>
<article-id pub-id-type="doi">10.13053/cys-26-1-4165</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Classification of Domestic Dogs Emotional Behavior Using Computer Vision]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chávez-Guerrero]]></surname>
<given-names><![CDATA[Víctor Ocyel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Espinosa]]></surname>
<given-names><![CDATA[Humberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Puga-Nathal]]></surname>
<given-names><![CDATA[María Eugenia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyes-Meza]]></surname>
<given-names><![CDATA[Verónica]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico Nacional de México  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Centro de Investigación Científica y de Educación Superior de Ensenada  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Autónoma de Tlaxcala Centro Tlaxcala de Biología de la Conducta ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>1</numero>
<fpage>203</fpage>
<lpage>219</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462022000100203&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462022000100203&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462022000100203&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Dogs are the most common companion animals worldwide, motivated by their exceptional social behavior with humans. Unlike many animals, dog learn vocal commands, identify moods, maintain eye contact, and recognize facial expressions. Besides, dogs have great agility and senses of smell and hearing superior to humans, so dogs have been trained for crucial tasks like search, rescue, and assistance. Therefore, it is relevant to do scientific research to understand the fundamentals of behavior and communication that increase the use of its capabilities for the benefit of the human being, guaranteeing the animal&#8217;s welfare. In this work, a computational method for analyzing dog behavior based on artificial vision techniques was developed. A video database recorded in positive and negative stimuli that induced different emotional states was used. The proposed method determines the dog&#8217;s emotional state at a given time, which opens a promising field to develop new technologies that trainers and users can take advantage of, to improve the processes of selection, training, and execution of the tasks of working dogs. Using the proposed method, the best test accuracy value we obtained was 0.6917 on the best model trained using transfer learning over the architecture MobileNet, getting good but not perfect results. The training process was carried out using 1067 images distributed among four categories, aggressiveness, anxiety, fear and neutral. The proposed method obtained acceptable results but can still be improved in technical and methodology terms. However, this method can be used as a baseline for exploring and expanding the canine behavior study using computational models.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Computer vision]]></kwd>
<kwd lng="en"><![CDATA[machine learning]]></kwd>
<kwd lng="en"><![CDATA[canine behavior]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aloff]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<source><![CDATA[Canine body language: a photographic guide]]></source>
<year>2018</year>
<publisher-name><![CDATA[Dogwise Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Amir]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zamansky]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[van der Linden]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[K9-blyzer: Towards video-based automatic analysis of canine behavior]]></source>
<year>2017</year>
<conf-name><![CDATA[ Fourth International Conference on Animal-Computer Interaction]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1-5</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Barnard]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Calderara]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pistocchi]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Cucchiara]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Podaliri-Vulpiani]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Messori]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferri]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Quick, accurate, smart: 3d computer vision technology helps assessing confined animals&#8217; behaviour]]></article-title>
<source><![CDATA[PloS one]]></source>
<year>2016</year>
<volume>11</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>e0158748</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Barros]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Magg]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Weber]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wermter]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[A multichannel convolutional neural network for hand posture recognition]]></source>
<year>2014</year>
<conf-name><![CDATA[ International Conference on Artificial Neural Networks]]></conf-name>
<conf-loc> </conf-loc>
<page-range>403-10</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bremhorst]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mills]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Würbel]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Riemer]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluating the accuracy of facial expressions as emotion indicators across contexts in dogs]]></article-title>
<source><![CDATA[Animal Cognition]]></source>
<year>2021</year>
<page-range>1-16</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Campbell]]></surname>
<given-names><![CDATA[E. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Owners&#8217; abilities to recognise and comprehend signs or displays of aggression in their canine companions outwith the home environment]]></article-title>
<source><![CDATA[Veterinary Nursing Journal]]></source>
<year>2016</year>
<volume>31</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>329-33</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carney]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Webster]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Alvarado]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Phillips]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Howell]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Griffith]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jongejan]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Pitaru]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Teachable machine: Approachable web-based tool for exploring machine learning classification]]></source>
<year>2020</year>
<conf-name><![CDATA[ Extended abstracts of the 2020 CHI conference on human factors in computing systems]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="">
<collab>DataSmarts</collab>
<source><![CDATA[Aprovechando el conocimiento de otros]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Socher]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[L.-J.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Fei-Fei]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Imagenet: A large-scale hierarchical image database]]></source>
<year>2009</year>
<conf-name><![CDATA[ IEEE conference on computer vision and pattern recognition]]></conf-name>
<conf-date>2009</conf-date>
<conf-loc> </conf-loc>
<page-range>248-55</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Doan]]></surname>
<given-names><![CDATA[H.-G.]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[V.-T.]]></given-names>
</name>
<name>
<surname><![CDATA[Vu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Tran]]></surname>
<given-names><![CDATA[T.-H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A combination of user-guide scheme and kernel descriptor on rgb-d data for robust and realtime hand posture recognition]]></article-title>
<source><![CDATA[Engineering Applications of Artificial Intelligence]]></source>
<year>2016</year>
<volume>49</volume>
<page-range>103-13</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ehsani]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Bagherinezhad]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Redmon]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Mottaghi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Farhadi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Who let the dogs out? modeling dog behavior from visual data]]></source>
<year>2018</year>
<conf-name><![CDATA[ IEEE Conference on Computer Vision and Pattern Recognition]]></conf-name>
<conf-loc> </conf-loc>
<page-range>4051-60</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Elforaici]]></surname>
<given-names><![CDATA[M. E. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chaaraoui]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Bouachir]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Ouakrim]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Mezghani]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<source><![CDATA[Posture recognition using an rgb-d camera: exploring 3d body modeling and deep learning approaches]]></source>
<year>2018</year>
<conf-name><![CDATA[ IEEE life sciences conference (LSC)]]></conf-name>
<conf-date>2018</conf-date>
<conf-loc> </conf-loc>
<page-range>69-72</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Giuffrida]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Brown]]></surname>
<given-names><![CDATA[D. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ellenberg]]></surname>
<given-names><![CDATA[S. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Farrar]]></surname>
<given-names><![CDATA[J. T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Development and psychometric testing of the canine owner-reported quality of life questionnaire, an instrument designed to measure quality of life in dogs with cancer]]></article-title>
<source><![CDATA[Journal of the American Veterinary Medical Association]]></source>
<year>2018</year>
<volume>252</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>1073-83</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Ren]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Deep residual learning for image recognition]]></source>
<year>2016</year>
<conf-name><![CDATA[ IEEE conference on computer vision and pattern recognition]]></conf-name>
<conf-loc> </conf-loc>
<page-range>770-8</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Howard]]></surname>
<given-names><![CDATA[A. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Kalenichenko]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Weyand]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Andreetto]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Adam]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Mobilenets: Efficient convolutional neural networks for mobile vision applications]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jones]]></surname>
<given-names><![CDATA[A. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Gosling]]></surname>
<given-names><![CDATA[S. D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Temperament and personality in dogs (canis familiaris): A review and evaluation of past research]]></article-title>
<source><![CDATA[Applied Animal Behaviour Science]]></source>
<year>2005</year>
<volume>95</volume>
<numero>1-2</numero>
<issue>1-2</issue>
<page-range>1-53</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lab]]></surname>
<given-names><![CDATA[G. C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Teachable machine, a fast, easy way to create machine learning models &#8211; no coding required]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lowe]]></surname>
<given-names><![CDATA[D. G.]]></given-names>
</name>
</person-group>
<source><![CDATA[Object recognition from local scale-invariant features]]></source>
<year>1999</year>
<volume>2</volume>
<conf-name><![CDATA[ seventh IEEE international conference on computer vision]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1150-7</page-range><publisher-name><![CDATA[Ieee]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lowe]]></surname>
<given-names><![CDATA[D. G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Distinctive image features from scale-invariant keypoints]]></article-title>
<source><![CDATA[International journal of computer vision]]></source>
<year>2004</year>
<volume>60</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>91-110</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Machine]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Teachable machine, prepara a un ordenador para que reconozca tus imágenes, sonidos y posturas]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mealin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Domínguez]]></surname>
<given-names><![CDATA[I. X.]]></given-names>
</name>
<name>
<surname><![CDATA[Roberts]]></surname>
<given-names><![CDATA[D. L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Semi-supervised classification of static canine postures using the microsoft kinect]]></source>
<year>2016</year>
<conf-name><![CDATA[ Third International Conference on Animal-Computer Interaction]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1-4</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mealin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Howell]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Roberts]]></surname>
<given-names><![CDATA[D. L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Towards unsupervised canine posture classification via depth shadow detection and infrared reconstruction for improved image segmentation accuracy]]></source>
<year>2016</year>
<conf-name><![CDATA[ Conference on Biomimetic and Biohybrid Systems]]></conf-name>
<conf-loc> </conf-loc>
<page-range>155-66</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nasirahmadi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sturm]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Edwards]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Jeppsson]]></surname>
<given-names><![CDATA[K.-H.]]></given-names>
</name>
<name>
<surname><![CDATA[Olsson]]></surname>
<given-names><![CDATA[A.-C.]]></given-names>
</name>
<name>
<surname><![CDATA[Müller]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hensel]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning and machine vision approaches for posture detection of individual pigs]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2019</year>
<volume>19</volume>
<numero>17</numero>
<issue>17</issue>
<page-range>3738</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Redmon]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Darknet: Open source neural networks in c]]></source>
<year>2013</year>
</nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Redmon]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Farhadi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Yolov3: An incremental improvement]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Robinson]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Mancini]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[van der Linden]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Guest]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Swanson]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Exploring assistive technology for assistance dog owners in emergency situations]]></source>
<year>2015</year>
<conf-name><![CDATA[ 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1-2</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Science]]></surname>
<given-names><![CDATA[T. D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Deep learning using transfer learning-python code for resnet50]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B28">
<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>
<source><![CDATA[Very deep convolutional networks for large-scale image recognition]]></source>
<year>2014</year>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sinha]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[El-Sharkawy]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Thin mobilenet: An enhanced mobilenet architecture]]></source>
<year>2019</year>
<conf-name><![CDATA[ IEEE 10th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)]]></conf-name>
<conf-date>2019</conf-date>
<conf-loc> </conf-loc>
<page-range>0280-5</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tami]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Gallagher]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Description of the behaviour of domestic dog (canis familiaris) by experienced and inexperienced people]]></article-title>
<source><![CDATA[Applied Animal Behaviour Science]]></source>
<year>2009</year>
<volume>120</volume>
<numero>3-4</numero>
<issue>3-4</issue>
<page-range>159-69</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Torrey]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Shavlik]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Transfer learning]]></article-title>
<source><![CDATA[Handbook of research on machine learning applications and trends: algorithms, methods, and techniques]]></source>
<year>2010</year>
<page-range>242-64</page-range><publisher-name><![CDATA[IGI global]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zoph]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Cubuk]]></surname>
<given-names><![CDATA[E. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghiasi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[T.-Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Shlens]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Le]]></surname>
<given-names><![CDATA[Q. V.]]></given-names>
</name>
</person-group>
<source><![CDATA[Learning data augmentation strategies for object detection]]></source>
<year>2020</year>
<conf-name><![CDATA[ European Conference on Computer Vision]]></conf-name>
<conf-loc> </conf-loc>
<page-range>566-83</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
