{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T20:36:03Z","timestamp":1780605363043,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,20]],"date-time":"2018-06-20T00:00:00Z","timestamp":1529452800000},"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":[[2018,6,20]]},"DOI":"10.1145\/3209811.3209879","type":"proceedings-article","created":{"date-parts":[[2018,6,20]],"date-time":"2018-06-20T12:12:39Z","timestamp":1529496759000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Exploiting Data and Human Knowledge for Predicting Wildlife Poaching"],"prefix":"10.1145","author":[{"given":"Swaminathan","family":"Gurumurthy","sequence":"first","affiliation":[{"name":"Carnegie Mellon University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lantao","family":"Yu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Southeast University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongchao","family":"Jin","sequence":"additional","affiliation":[{"name":"World Wild Fund for Nature, China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiping","family":"Li","sequence":"additional","affiliation":[{"name":"World Wild Fund for Nature, China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaodong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Huang Ni He Forest Bureau, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Fang","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Yelena Yesha Anupam Joshi Yaacov Yesha Mary Brady Michael A. Grasso Napthali Rishe Aniket Bochare Aryya Gangopadhyay. 2014. Integrating domain knowledge in supervised machine learning to assess the risk of breast cancer. Int. J. Medical Engineering and Informatics (2014).  Yelena Yesha Anupam Joshi Yaacov Yesha Mary Brady Michael A. Grasso Napthali Rishe Aniket Bochare Aryya Gangopadhyay. 2014. Integrating domain knowledge in supervised machine learning to assess the risk of breast cancer. Int. J. Medical Engineering and Informatics (2014)."},{"key":"e_1_3_2_1_2_1","unstructured":"Rachael Bale. 2017. China Shuts Down Its Legal Ivory Trade. https:\/\/news.nationalgeographic.com\/2017\/12\/wildlife-watch-china-ivory-ban-goes-into-effect\/.  Rachael Bale. 2017. China Shuts Down Its Legal Ivory Trade. https:\/\/news.nationalgeographic.com\/2017\/12\/wildlife-watch-china-ivory-ban-goes-into-effect\/."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/534179a"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018054314350"},{"key":"e_1_3_2_1_5_1","volume-title":"SMOTE: Synthetic Minority Over-Sampling Technique. Journal of Artificial Intelligence Research","author":"Chawla N.V.","year":"2002"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71273-4_24"},{"key":"e_1_3_2_1_7_1","unstructured":"Shahrzad Gholami Sara Mc Carthy Bistra Dilkina Andrew Plumptre Milind Tambe Margaret Driciru Fred Wanyama Aggrey Rwetsiba Mustapha Nsubaga Joshua Mabonga et al. 2018. Adversary models account for imperfect crime data: Forecasting and planning against real-world poachers. (2018).  Shahrzad Gholami Sara Mc Carthy Bistra Dilkina Andrew Plumptre Milind Tambe Margaret Driciru Fred Wanyama Aggrey Rwetsiba Mustapha Nsubaga Joshua Mabonga et al. 2018. Adversary models account for imperfect crime data: Forecasting and planning against real-world poachers. (2018)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0176244"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 159--167","author":"Kar Debarun","year":"2017"},{"key":"e_1_3_2_1_10_1","unstructured":"Taewan Kim and Joydeep Ghosh. 2017. Relaxed Oracles for Semi-Supervised Clustering. arXiv preprint arXiv:1711.07433 (2017).  Taewan Kim and Joydeep Ghosh. 2017. Relaxed Oracles for Semi-Supervised Clustering. arXiv preprint arXiv:1711.07433 (2017)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Yann LeCun Yoshua Bengio and Geoffrey Hinton. 2015. Deep learning. nature 521 7553 (2015) 436.  Yann LeCun Yoshua Bengio and Geoffrey Hinton. 2015. Deep learning. nature 521 7553 (2015) 436.","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Andrew M Lemieux. 2014. Situational prevention of poaching. Vol. 15. Routledge.  Andrew M Lemieux. 2014. Situational prevention of poaching. Vol. 15. Routledge.","DOI":"10.4324\/9780203094525"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Jennifer F Moore Felix Mulindahabi Michel K Masozera James D Nichols James E Hines Ezechiel Turikunkiko and Madan K Oli. 2017. Are ranger patrols effective in reducing poaching-related threats within protected areas? Journal of Applied Ecology (2017).  Jennifer F Moore Felix Mulindahabi Michel K Masozera James D Nichols James E Hines Ezechiel Turikunkiko and Madan K Oli. 2017. Are ranger patrols effective in reducing poaching-related threats within protected areas? Journal of Applied Ecology (2017).","DOI":"10.1111\/1365-2664.12965"},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 767--775","author":"Nguyen Thanh H","year":"2016"},{"key":"e_1_3_2_1_15_1","unstructured":"Grigoris Karakoulas Nitesh V. Chawla. 2005. Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains. Journal of Artificial Intelligence Research (2005).   Grigoris Karakoulas Nitesh V. Chawla. 2005. Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains. Journal of Artificial Intelligence Research (2005)."},{"key":"e_1_3_2_1_16_1","volume-title":"The Geography of Environmental Crime","author":"Saif Samia"},{"key":"e_1_3_2_1_17_1","unstructured":"Brad Scriber. 2014. 100 000 Elephants Killed by Poachers in Just Three Years Landmark Analysis Finds. https:\/\/news.nationalgeographic.com\/news\/2014\/08\/140818-elephants-africa-poaching-cites-census\/.  Brad Scriber. 2014. 100 000 Elephants Killed by Poachers in Just Three Years Landmark Analysis Finds. https:\/\/news.nationalgeographic.com\/news\/2014\/08\/140818-elephants-africa-poaching-cites-census\/."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1177\/194008291600900127"},{"key":"e_1_3_2_1_19_1","volume-title":"International Journal of Digital Content Technology and its Applications 7, 9","author":"Shojaee Somayeh","year":"2013"},{"key":"e_1_3_2_1_20_1","first-page":"2098","article-title":"SMOTE: Synthetic Minority Over-Sampling Technique","volume":"16","author":"Speirs\u00e2\u0102\u0158Bridge Andrew","year":"2010","journal-title":"Risk Analysis"},{"key":"e_1_3_2_1_21_1","unstructured":"VOA. 2017. Poachers Target Africa's Lions Vultures With Poison. https:\/\/www.voanews.com\/a\/poachers-target-african-lions-vultures-with-poison\/4046307.html.  VOA. 2017. Poachers Target Africa's Lions Vultures With Poison. https:\/\/www.voanews.com\/a\/poachers-target-african-lions-vultures-with-poison\/4046307.html."},{"key":"e_1_3_2_1_22_1","unstructured":"Ting Yu. 2007. Incorporating Prior Domain Knowledge into Inductive Machine Learning Its implementation in contemporary capital markets. Ph.D. Dissertation. University of Technology Sydney Sydney Australia.  Ting Yu. 2007. Incorporating Prior Domain Knowledge into Inductive Machine Learning Its implementation in contemporary capital markets. Ph.D. Dissertation. University of Technology Sydney Sydney Australia."},{"key":"e_1_3_2_1_23_1","volume-title":"LLD Workshop","author":"Zhipeng Luo Milos Hauskrecht","year":"2017"}],"event":{"name":"COMPASS '18: ACM SIGCAS Conference on Computing and Sustainable Societies","location":"Menlo Park and San Jose CA USA","acronym":"COMPASS '18","sponsor":["SIGCAS ACM Special Interest Group on Computers and Society"]},"container-title":["Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3209811.3209879","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3209811.3209879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:09Z","timestamp":1750212789000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3209811.3209879"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,20]]},"references-count":23,"alternative-id":["10.1145\/3209811.3209879","10.1145\/3209811"],"URL":"https:\/\/doi.org\/10.1145\/3209811.3209879","relation":{},"subject":[],"published":{"date-parts":[[2018,6,20]]},"assertion":[{"value":"2018-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}