{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T15:10:10Z","timestamp":1755789010134,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T00:00:00Z","timestamp":1717372800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"Elitenetzwerk Bayern","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,3]]},"DOI":"10.1145\/3656650.3656680","type":"proceedings-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T18:27:17Z","timestamp":1717180037000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Integrating Crowd and Machine Learning in an Intelligent Interface: A Case Study of Oil Spill Detection in Satellite Images"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4279-7778","authenticated-orcid":false,"given":"Rifat Mehreen","family":"Amin","sequence":"first","affiliation":[{"name":"LMU Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2837-8502","authenticated-orcid":false,"given":"Feng","family":"Chen","sequence":"additional","affiliation":[{"name":"LMU Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7239-7084","authenticated-orcid":false,"given":"Linda","family":"Hirsch","sequence":"additional","affiliation":[{"name":"LMU Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4595-7485","authenticated-orcid":false,"given":"Changkun","family":"Ou","sequence":"additional","affiliation":[{"name":"LMU Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2160-6004","authenticated-orcid":false,"given":"Tran-Vu","family":"La","sequence":"additional","affiliation":[{"name":"Environmental Research and Innovation (ERIN)), Luxembourg Institute of Science and Technology (LIST), Luxembourg"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9007-9888","authenticated-orcid":false,"given":"Andreas","family":"Butz","sequence":"additional","affiliation":[{"name":"LMU Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2022.06.011"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3241916"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs15051460"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-021-10176-y"},{"key":"e_1_3_2_1_5_1","volume-title":"The effects of spilled oil on coastal ecosystems: lessons from the Exxon Valdez spill. Coastal conservation 19","author":"Bodkin S\u00a0L","year":"2014","unstructured":"JAMES\u00a0L Bodkin, Daniel Esler, STANLEY\u00a0D Rice, Craig\u00a0O Matkin, and BRENDA\u00a0E Ballachey. 2014. The effects of spilled oil on coastal ecosystems: lessons from the Exxon Valdez spill. Coastal conservation 19 (2014), 311."},{"key":"e_1_3_2_1_6_1","unstructured":"Justin Brooks. 2019. COCO Annotator. https:\/\/github.com\/jsbroks\/coco-annotator\/."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300234"},{"key":"e_1_3_2_1_8_1","volume-title":"Graphics Interface","author":"Chang Chia-Ming","year":"2022","unstructured":"Chia-Ming Chang, Yi He, Xi Yang, Haoran Xie, and Takeo Igarashi. 2022. DualLabel: secondary labels for challenging image annotation. In Graphics Interface 2022."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.04.003"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2014.87"},{"key":"e_1_3_2_1_11_1","unstructured":"CVAT. [n. d.]. Computer Vision Annotation Tool (CVAT). https:\/\/github.com\/opencv\/cvat\/."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.2307\/249008"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206652"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3249680"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1978965"},{"key":"e_1_3_2_1_16_1","volume-title":"Galaxy zoo. Advances in machine learning and data mining for astronomy 2012","author":"Fortson Lucy","year":"2012","unstructured":"Lucy Fortson, Karen Masters, Robert Nichol, EM Edmondson, C Lintott, J Raddick, and J Wallin. 2012. Galaxy zoo. Advances in machine learning and data mining for astronomy 2012 (2012), 213\u2013236."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3473856.3473993"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.marpolbul.2022.113666"},{"key":"e_1_3_2_1_21_1","unstructured":"Jane Hung Deepali Ravel Stefanie C.\u00a0P. Lopes Gabriel Rangel Odailton\u00a0Amaral Nery Benoit Malleret Francois Nosten Marcus V.\u00a0G. Lacerda Marcelo\u00a0U. Ferreira Laurent R\u00e9nia Manoj\u00a0T. Duraisingh Fabio T.\u00a0M. Costa Matthias Marti and Anne\u00a0E. Carpenter. 2019. Applying Faster R-CNN for Object Detection on Malaria Images. arxiv:1804.09548\u00a0[cs.CV]"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2441776.2441923"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511112"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/3542805.3542809"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397481.3450681"},{"key":"e_1_3_2_1_26_1","volume-title":"Proc. of the Annual Meeting of the Cognitive Science Society 45","author":"Liu Guoyang","year":"2023","unstructured":"Guoyang Liu, Jindi Zhang, Antoni\u00a0B. Chan, and Janet Hsiao. 2023. Human Attention-Guided Explainable AI for Object Detection. Proc. of the Annual Meeting of the Cognitive Science Society 45 (2023). https:\/\/doi.org\/uc\/item\/9r53b44n"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296411"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2016.543"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2812619"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_1_31_1","volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1177\/0963662516678514"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1515\/jib-2022-0018"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocon.2013.11.003"},{"key":"e_1_3_2_1_35_1","volume-title":"To what extent do DNN-based image classification models make unreliable inferences?Empirical Software Engineering 26, 5","author":"Tian Yongqiang","year":"2021","unstructured":"Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, and Xiangyu Zhang. 2021. To what extent do DNN-based image classification models make unreliable inferences?Empirical Software Engineering 26, 5 (2021), 84."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2018.2890174"},{"key":"e_1_3_2_1_37_1","volume-title":"Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection. CIRP annals 65, 1","author":"Weimer Daniel","year":"2016","unstructured":"Daniel Weimer, Bernd Scholz-Reiter, and Moshe Shpitalni. 2016. Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection. CIRP annals 65, 1 (2016), 417\u2013420."},{"key":"e_1_3_2_1_38_1","volume-title":"Real-Time Possessing Relationship Detection for Sports Analytics. In 2020 39th Chinese Control Conference (CCC). IEEE, 7373\u20137378","author":"Xu Yinda","year":"2020","unstructured":"Yinda Xu and Yonggang Peng. 2020. Real-Time Possessing Relationship Detection for Sports Analytics. In 2020 39th Chinese Control Conference (CCC). IEEE, 7373\u20137378."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2022.2109445"},{"key":"e_1_3_2_1_40_1","first-page":"1271","article-title":"Automated marine oil spill detection using deep learning instance segmentation model. The International Archives of the Photogrammetry","volume":"43","author":"Yekeen ST","year":"2020","unstructured":"ST Yekeen and A-L Balogun. 2020. Automated marine oil spill detection using deep learning instance segmentation model. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 43 (2020), 1271\u20131276.","journal-title":"Remote Sensing and Spatial Information Sciences"},{"key":"e_1_3_2_1_41_1","first-page":"1","article-title":"Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment","volume":"12","author":"Yekeen Shamsudeen\u00a0Temitope","year":"2020","unstructured":"Shamsudeen\u00a0Temitope Yekeen and Abdul-Lateef Balogun. 2020. Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment. Remote Sens 12, 20 (2020), 1\u201331.","journal-title":"Remote Sens"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.07.011"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606776"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1609\/hcomp.v3i1.13231"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2023.3238524"}],"event":{"name":"AVI 2024: International Conference on Advanced Visual Interfaces 2024","acronym":"AVI 2024","location":"Arenzano, Genoa Italy"},"container-title":["Proceedings of the 2024 International Conference on Advanced Visual Interfaces"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3656650.3656680","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3656650.3656680","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T14:56:13Z","timestamp":1755788173000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3656650.3656680"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,3]]},"references-count":45,"alternative-id":["10.1145\/3656650.3656680","10.1145\/3656650"],"URL":"https:\/\/doi.org\/10.1145\/3656650.3656680","relation":{},"subject":[],"published":{"date-parts":[[2024,6,3]]},"assertion":[{"value":"2024-06-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}