{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:04Z","timestamp":1750219984253,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia (FCT)","award":["PTDC\/CCI-CIF\/32607\/2017, UIDB\/50021\/2020"],"award-info":[{"award-number":["PTDC\/CCI-CIF\/32607\/2017, UIDB\/50021\/2020"]}]},{"name":"Thales Portugal"},{"name":"EU H2020 research and innovation program","award":["874850"],"award-info":[{"award-number":["874850"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1145\/3557915.3561475","type":"proceedings-article","created":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T00:11:25Z","timestamp":1669162285000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A co-training approach for spatial data disaggregation"],"prefix":"10.1145","author":[{"given":"Jo\u00e3o","family":"Monteiro","sequence":"first","affiliation":[{"name":"Universidade de Lisboa, Lisboa, Portugal"}]},{"given":"Bruno","family":"Martins","sequence":"additional","affiliation":[{"name":"Universidade de Lisboa, Lisboa, Portugal"}]},{"given":"Miguel","family":"Costa","sequence":"additional","affiliation":[{"name":"Vodafone, Lisboa, Portugal"}]},{"given":"Jo\u00e3o M.","family":"Pires","sequence":"additional","affiliation":[{"name":"Universidade NOVA de Lisboa, Caparica, Portugal"}]}],"member":"320","published-online":{"date-parts":[[2022,11,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Bootstrapping. In Proceedings of the Annual Meeting of the Association for Computational Linguistics.","author":"Abney Steven","year":"2002","unstructured":"Steven Abney. 2002. Bootstrapping. In Proceedings of the Annual Meeting of the Association for Computational Linguistics."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the Annual Meeting on Neural Information Processing Systems.","author":"Balcan Maria-Florina","year":"2005","unstructured":"Maria-Florina Balcan, Avrim Blum, and Ke Yang. 2005. Co-training and Expansion: Towards Bridging Theory and Practice. Proceedings of the Annual Meeting on Neural Information Processing Systems."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250609"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00446"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/ejss.12687"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Leo Breiman. 2001. Random Forests. Machine Learning 45.","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2006.11.020"},{"key":"e_1_3_2_1_9_1","first-page":"1","article-title":"Mapping Monthly Population Distribution and Variation at 1-km Resolution across China","volume":"1","author":"Cheng Zhifeng","year":"2020","unstructured":"Zhifeng Cheng, Jianghao Wang, and Yong Ge. 2020. Mapping Monthly Population Distribution and Variation at 1-km Resolution across China. International Journal of Geographical Information Science 1, 1.","journal-title":"International Journal of Geographical Information Science"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Christina Corbane Martino Pesaresi Panagiotis Politis Vasileios Syrris Aneta J Florczyk Pierre Soille Luca Maffenini Armin Burger Veselin Vasilev Dario Rodriguez et al. 2017. Big Earth Data Analytics on Sentinel-1 and LandSat Imagery in Support to Global Human Settlements Mapping. Big Earth Data 1.","DOI":"10.1080\/20964471.2017.1397899"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/23754931.2015.1014272"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2485662"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the AGILE International Conference on Geographic Information Science.","author":"Freire Sergio","year":"2016","unstructured":"Sergio Freire, Erin Doxsey-Whitfield, Kytt MacManus, Jane Mills, and Martino Pesaresi. 2016. Development of New Open and Free Multi-temporal Global Population Grids at 250m Resolution. In Proceedings of the AGILE International Conference on Geographic Information Science."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326329"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11111-010-0108-y"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1068\/a250383"},{"key":"e_1_3_2_1_17_1","volume-title":"Gerard BM Heuvelink, and Benedikt Gr\u00e4ler","author":"Hengl Tomislav","year":"2018","unstructured":"Tomislav Hengl, Madlene Nussbaum, Marvin N Wright, Gerard BM Heuvelink, and Benedikt Gr\u00e4ler. 2018. Random Forest as a Generic Framework for Predictive Modeling of Spatial and Spatio-temporal Variables. PeerJ 6."},{"key":"e_1_3_2_1_18_1","unstructured":"Y. Heymann C. Steenmans G. Croisille and M. Bossard. 1994. CORINE Land Cover Technical Guide. Technical Report. Office for Official Publications of the European Communities."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274934"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2011.08.021"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi10090619"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi8080327"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-017-0080-z"},{"key":"e_1_3_2_1_25_1","volume-title":"Operating Procedure for the Production of the Global Human Settlement Layer from LandSat Data of the Epochs","author":"Pesaresi Martino","year":"1975","unstructured":"Martino Pesaresi, Daniele Ehrlich, Stefano Ferri, Aneta Florczyk, Sergio Freire, Matina Halkia, Andreea Julea, Thomas Kemper, Pierre Soille, and Vasileios Syrris. 2016. Operating Procedure for the Production of the Global Human Settlement Layer from LandSat Data of the Epochs 1975, 1990, 2000, and 2014. Technical Report. Publications Office of the European Union."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Ge Qiu Yuhai Bao Xuchao Yang Chen Wang Tingting Ye Alfred Stein and Peng Jia. 2020. Local Population Mapping using a Random Forest Model Based on Remote and Social Sensing data: A Case Study in Zhengzhou China. International Journal of Remote sensing 12 10.","DOI":"10.3390\/rs12101618"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0107042"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Tobias G Tiecke Xianming Liu Amy Zhang Andreas Gros Nan Li Gregory Yetman Talip Kilic Siobhan Murray Brian Blankespoor Espen B Prydz et al. 2017. Mapping the World Population One Building at a Time. arXiv preprint arXiv:1712.05839 (2017).","DOI":"10.1596\/33700"},{"key":"e_1_3_2_1_30_1","first-page":"367","article-title":"Smooth Pycnophylactic Interpolation for Geographical Regions","volume":"74","author":"Tobler Waldo R.","year":"1979","unstructured":"Waldo R. Tobler. 1979. Smooth Pycnophylactic Interpolation for Geographical Regions. Journal of the American Statistical Association 74, 367.","journal-title":"Journal of the American Statistical Association"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_42"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the International Joint Conference on Artificial Intelligence.","author":"Zhou Zhi-Hua","year":"2005","unstructured":"Zhi-Hua Zhou, Ming Li, et al. 2005. Semi-supervised Regression with Co-training. In Proceedings of the International Joint Conference on Artificial Intelligence."}],"event":{"name":"SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Seattle Washington","acronym":"SIGSPATIAL '22"},"container-title":["Proceedings of the 30th International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557915.3561475","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3557915.3561475","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:27Z","timestamp":1750182567000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557915.3561475"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":32,"alternative-id":["10.1145\/3557915.3561475","10.1145\/3557915"],"URL":"https:\/\/doi.org\/10.1145\/3557915.3561475","relation":{},"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"2022-11-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}