{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T15:18:41Z","timestamp":1730301521987,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/uemcon47517.2019.8992997","type":"proceedings-article","created":{"date-parts":[[2020,2,14]],"date-time":"2020-02-14T08:36:46Z","timestamp":1581669406000},"page":"0057-0062","source":"Crossref","is-referenced-by-count":2,"title":["Machine Learning Meteorologist Can Predict Rain"],"prefix":"10.1109","author":[{"given":"Brandan","family":"Quinn","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eman","family":"Abdelfattah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32034-2_13"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.7763\/IJCTE.2009.V1.9"},{"journal-title":"Consistent binary classification with generalized performance metrics","year":"2014","author":"koyejo","key":"ref10"},{"key":"ref6","first-page":"261","author":"liu","year":"2014","journal-title":"Deep neural network based feature representation for weather forecasting"},{"journal-title":"Commonwealth of Australia Bureau of Meteorology 2010","article-title":"Daily Weather Observations","year":"0","key":"ref11"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSGRC.2012.6287140"},{"key":"ref8","article-title":"Understanding severe weather processes through spatiotemporal relational random forests","author":"mcgovern","year":"2010","journal-title":"2010 NASA conference on intelligent data understanding"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783275"},{"key":"ref2","article-title":"Machine Learning Applied to Weather Forecasting","author":"holmstrom","year":"0","journal-title":"Stanford University"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"11","DOI":"10.5120\/ijca2017913083","article-title":"Machine learning: A review on binary classification","volume":"160","author":"roshan","year":"2017","journal-title":"International Journal of Computer Applications"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/UEMCON.2018.8796830"}],"event":{"name":"2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","start":{"date-parts":[[2019,10,10]]},"location":"New York City, NY, USA","end":{"date-parts":[[2019,10,12]]}},"container-title":["2019 IEEE 10th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8966519\/8992916\/08992997.pdf?arnumber=8992997","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:26:08Z","timestamp":1658262368000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8992997\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/uemcon47517.2019.8992997","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}