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In this study, we describe the process to develop an automatic classifier that can identify individual dogs based on their barks. We created a database with more than 6,000 barks applying positive and negative stimuli to dogs. We acoustically characterized the barking samples using a signal processing tool that extracts large sets of features. Based on these sets, we generated optimal subsets of features to feed machine learning algorithms which trained classification models. We evaluated such models and compared the classification performance of different algorithms. We analyzed the pertinence of training specific models per each breed. The classification obtained outperform the results previously reported in similar works. Our findings suggest that practical applications could be constructed on this kind of technology.<\/jats:p>","DOI":"10.3233\/jifs-169509","type":"journal-article","created":{"date-parts":[[2018,5,25]],"date-time":"2018-05-25T05:05:57Z","timestamp":1527224757000},"page":"3273-3280","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Automatic individual dog recognition based on the acoustic properties of its barks"],"prefix":"10.1177","volume":"34","author":[{"given":"Humberto","family":"P\u00e9rez-Espinosa","sequence":"first","affiliation":[{"name":"Mexican National Research Council (CONACyT)"},{"name":"CICESE-UT3, Andador 10 #109, Ciudad del Conocimiento, Tepic, Nayarit, M\u00e9xico"}]},{"given":"Ver\u00f3nica","family":"Reyes-Meza","sequence":"additional","affiliation":[{"name":"Centro Tlaxcala de Biolog\u00eda de la Conducta, Universidad Aut\u00f3noma de Tlaxcala, Tlaxcala, M\u00e9xico"}]},{"given":"Emanuel","family":"Aguilar-Benitez","sequence":"additional","affiliation":[{"name":"CICESE-UT3, Andador 10 #109, Ciudad del Conocimiento, Tepic, Nayarit, M\u00e9xico"}]},{"given":"Yuvila M.","family":"Sanz\u00f3n-Rosas","sequence":"additional","affiliation":[{"name":"CICESE-UT3, Andador 10 #109, Ciudad del Conocimiento, Tepic, Nayarit, M\u00e9xico"}]}],"member":"179","published-online":{"date-parts":[[2018,5,24]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"2015","article-title":"Tensorflow: Large-scale machine learning on heterogeneous systems 2015","volume":"1","author":"Abadi M.","year":"2015","unstructured":"AbadiM., AgarwalA., BarhamP., BrevdoE., ChenZ., CitroC., CorradoG.S., DavisA., DeanJ., DevinM., Tensorflow: Large-scale machine learning on heterogeneous systems 2015, Software available from tensorflow.org, 1, 2015, 2015.","journal-title":"Software available from tensorflow.org"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2009.12.003"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10071-014-0811-7"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.beproc.2006.03.014"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10071-007-0129-9"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.beproc.2009.06.011"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1037\/0735-7036.119.2.136"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tvjl.2008.12.010"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2014.01582"},{"key":"e_1_3_2_13_2","doi-asserted-by":"crossref","unstructured":"SchullerB. 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