{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T08:09:56Z","timestamp":1750406996052,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/auv.2018.8729787","type":"proceedings-article","created":{"date-parts":[[2019,6,6]],"date-time":"2019-06-06T23:12:28Z","timestamp":1559862748000},"page":"1-6","source":"Crossref","is-referenced-by-count":10,"title":["Automatic Habitat Mapping using Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Andre","family":"Diegues","sequence":"first","affiliation":[]},{"given":"Jose","family":"Pinto","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Ribeiro","sequence":"additional","affiliation":[]},{"given":"Roberto","family":"Frias","sequence":"additional","affiliation":[]},{"given":"do Campo","family":"Alegre","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2007.4413914"},{"journal-title":"Digital Image Processing","year":"2008","author":"gonzalez","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/72.554195"},{"key":"ref15","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref17","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"journal-title":"Keras The Python deep learning library","year":"2018","key":"ref18"},{"journal-title":"TensorFlow™","year":"2018","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2018.1426091"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS-Bergen.2013.6608189"},{"journal-title":"Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation","year":"2018","author":"g\u00f2mez-r\u00ecos","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8285220"},{"journal-title":"Artificial Intelligence A Modern Approach","year":"2016","author":"russell","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs9121220"},{"journal-title":"Omare","year":"2018","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199554232.003.0005"},{"journal-title":"Data Mining Practical Machine Learning Tools and Techniques","year":"2017","author":"witten","key":"ref9"}],"event":{"name":"2018 IEEE\/OES Autonomous Underwater Vehicle Workshop (AUV)","start":{"date-parts":[[2018,11,6]]},"location":"Porto, Portugal","end":{"date-parts":[[2018,11,9]]}},"container-title":["2018 IEEE\/OES Autonomous Underwater Vehicle Workshop (AUV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8725961\/8729685\/08729787.pdf?arnumber=8729787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T23:27:24Z","timestamp":1562023644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8729787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/auv.2018.8729787","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}