{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T08:47:55Z","timestamp":1768898875276,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,4,6]],"date-time":"2019-04-06T00:00:00Z","timestamp":1554508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,4,6]]},"DOI":"10.1145\/3325917.3325926","type":"proceedings-article","created":{"date-parts":[[2019,6,12]],"date-time":"2019-06-12T15:39:51Z","timestamp":1560353991000},"page":"16-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["Automatic Seismic Salt Interpretation with Deep Convolutional Neural Networks"],"prefix":"10.1145","author":[{"given":"Yu","family":"Zeng","sequence":"first","affiliation":[{"name":"Houston TX"}]},{"given":"Kebei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Houston TX"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Houston TX"}]}],"member":"320","published-online":{"date-parts":[[2019,4,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1190\/INT-2014-0033.1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1190\/segam2018-2997218.1"},{"key":"e_1_3_2_1_3_1","unstructured":"Chen J. and Y. Zeng. 2018. Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature Augmentation.DOI=https:\/\/arxiv.org\/abs\/1808.09856.  Chen J. and Y. Zeng. 2018. Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature Augmentation.DOI=https:\/\/arxiv.org\/abs\/1808.09856."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1190\/segam2018-2997155.1"},{"key":"e_1_3_2_1_5_1","unstructured":"Ronneberger O. Fischer P. and Brox T. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. DOI= https:\/\/arxiv.org\/abs\/1505.04597.  Ronneberger O. Fischer P. and Brox T. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. DOI= https:\/\/arxiv.org\/abs\/1505.04597."},{"key":"e_1_3_2_1_6_1","unstructured":"He K. Zhang X. Ren S. and Sun J. 2015. Deep Residual Learning for Image Recognition. DOI= https:\/\/arxiv.org\/abs\/1512.03385.  He K. Zhang X. Ren S. and Sun J. 2015. Deep Residual Learning for Image Recognition. DOI= https:\/\/arxiv.org\/abs\/1512.03385."},{"key":"e_1_3_2_1_7_1","unstructured":"Clevert D. Unterthiner T. and Hochreiter S. 2015. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). DOI= https:\/\/arxiv.org\/abs\/1511.07289.  Clevert D. Unterthiner T. and Hochreiter S. 2015. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). DOI= https:\/\/arxiv.org\/abs\/1511.07289."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Berman M. Triki A. R. and Blaschko M. B. 2018. The Lovasz-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks. DOI=https:\/\/arxiv.org\/abs\/1705.08790.  Berman M. Triki A. R. and Blaschko M. B. 2018. The Lovasz-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks. DOI=https:\/\/arxiv.org\/abs\/1705.08790.","DOI":"10.1109\/CVPR.2018.00464"},{"key":"e_1_3_2_1_9_1","unstructured":"Goodfellow I. Bengio Y. and Courville A. 2016. Deep Learning. MIT Press.   Goodfellow I. Bengio Y. and Courville A. 2016. Deep Learning. MIT Press."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 32nd International Conference on Machine Learning.37","author":"Yu J.","year":"2015","unstructured":"Yu , J. and Blaschko , M. B . 2015. Learning submodular losses with the Lovasz hinge . Proceedings of the 32nd International Conference on Machine Learning.37 , 1623--1631, Lille, France , 2015 . DOI= https:\/\/dl.acm.org\/citation.cfm?id=3045291. Yu, J. and Blaschko, M. B. 2015. Learning submodular losses with the Lovasz hinge. Proceedings of the 32nd International Conference on Machine Learning.37, 1623--1631, Lille, France, 2015. DOI= https:\/\/dl.acm.org\/citation.cfm?id=3045291."},{"key":"e_1_3_2_1_11_1","volume-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.","author":"Rakhlin A.","unstructured":"Rakhlin , A. , Davydow , A. and Nikolenko , S . 2016. Land Cover Classification from Satellite Imagery with U-Net and Lovasz-Softmax Loss . The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Rakhlin, A., Davydow, A. and Nikolenko, S. 2016. Land Cover Classification from Satellite Imagery with U-Net and Lovasz-Softmax Loss. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops."}],"event":{"name":"ICISDM 2019: 2019 The 3rd International Conference on Information System and Data Mining","location":"Houston TX USA","acronym":"ICISDM 2019","sponsor":["University of Houston"]},"container-title":["Proceedings of the 2019 3rd International Conference on Information System and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3325917.3325926","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3325917.3325926","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:08Z","timestamp":1750204388000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3325917.3325926"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,6]]},"references-count":11,"alternative-id":["10.1145\/3325917.3325926","10.1145\/3325917"],"URL":"https:\/\/doi.org\/10.1145\/3325917.3325926","relation":{},"subject":[],"published":{"date-parts":[[2019,4,6]]},"assertion":[{"value":"2019-04-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}