{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:43:41Z","timestamp":1743137021432,"version":"3.40.3"},"publisher-location":"Cham","reference-count":6,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030327842"},{"type":"electronic","value":"9783030327859"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-32785-9_13","type":"book-chapter","created":{"date-parts":[[2019,10,8]],"date-time":"2019-10-08T11:19:11Z","timestamp":1570533551000},"page":"143-153","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes"],"prefix":"10.1007","author":[{"given":"Riccardo","family":"Bellazzi","sequence":"first","affiliation":[]},{"given":"Alessandro Aldo","family":"Caldarone","sequence":"additional","affiliation":[]},{"given":"Daniele","family":"Pala","sequence":"additional","affiliation":[]},{"given":"Marica","family":"Franzini","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Malovini","sequence":"additional","affiliation":[]},{"given":"Cristiana","family":"Larizza","sequence":"additional","affiliation":[]},{"given":"Vittorio","family":"Casella","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,7]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.envint.2019.02.013","volume":"126","author":"M Helbich","year":"2019","unstructured":"Helbich, M., Yao, Y., Liu, Y., Zhang, J., Liu, P., Wang, R.: Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing. China. Environ Int. 126, 107\u2013117 (2019)","journal-title":"China. Environ Int."},{"issue":"176","key":"13_CR2","doi-asserted-by":"publisher","first-page":"108513","DOI":"10.1016\/j.envres.2019.05.044","volume":"30","author":"KY Hong","year":"2019","unstructured":"Hong, K.Y., Pinheiro, P.O., Minet, L., Hatzopoulou, M., Weichenthal, S.: Extending the spatial scale of land use regression models for ambient ultrafine particles using satellite images and deep convolutional neural networks. Environ. Res. 30(176), 108513 (2019)","journal-title":"Environ. Res."},{"issue":"11","key":"13_CR3","doi-asserted-by":"publisher","first-page":"1992","DOI":"10.3390\/ijerph16111992","volume":"16","author":"GK Zewdie","year":"2019","unstructured":"Zewdie, G.K., Lary, D.J., Levetin, E., Garuma, G.F.: Applying deep neural networks and ensemble machine learning methods to forecast airborne ambrosia pollen. Int. J. Environ. Res. Public Health 16(11), 1992 (2019)","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"11","key":"13_CR4","doi-asserted-by":"publisher","first-page":"2577","DOI":"10.3390\/s19112577","volume":"19","author":"S Sharma","year":"2019","unstructured":"Sharma, S., Ball, J.E., Tang, B., Carruth, D.W., Doude, M., Islam, M.A.: Semantic segmentation with transfer learning for off-road autonomous driving. Sensors (Basel). 19(11), 2577 (2019)","journal-title":"Sensors (Basel)."},{"unstructured":"Painters by Numbers. \n                      http:\/\/blog.kaggle.com\/2016\/11\/17\/painter-by-numbers-competition-1st-place-winners-interview-nejc-ilenic\/\n                      \n                    . Accessed 21 June 2019","key":"13_CR5"},{"unstructured":"Centers for disease control and prevention. National center for chronic disease prevention and health promotion. Division of population health. 500 cities project data (2019). \n                      https:\/\/www.cdc.gov\/500cities\n                      \n                    . Accessed 21 June 2019","key":"13_CR6"}],"container-title":["Lecture Notes in Computer Science","How AI Impacts Urban Living and Public Health"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32785-9_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,8]],"date-time":"2019-10-08T22:08:34Z","timestamp":1570572514000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-32785-9_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030327842","9783030327859"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32785-9_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICOST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Smart Homes and Health Telematics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New York, NY","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icost2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icost-society.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"63% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}