{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:22:23Z","timestamp":1730222543887,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/fuzz-ieee.2018.8491572","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T18:18:38Z","timestamp":1539973118000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments"],"prefix":"10.1109","author":[{"given":"Yiliao","family":"Song","sequence":"first","affiliation":[]},{"given":"Guangquan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Haiyan","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Lu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"286","article-title":"Learning with drift detection","author":"gama","year":"2004","journal-title":"Proc Brazilian Symp Artificial Intelligence"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939836"},{"key":"ref12","first-page":"24","article-title":"Concept drift detection based on equal density estimation","author":"gu","year":"2016","journal-title":"29th International Joint Conference on Neural Networks"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/317"},{"key":"ref14","first-page":"1652","article-title":"SAND: Semi-supervised adaptive novel class detection and classification over data stream","author":"haque","year":"2016","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref15","first-page":"1","article-title":"Generative Adversarial Networks: An Overview","author":"creswell","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/404"},{"journal-title":"Camera Style Adaptation for Person Re-identification","year":"2017","author":"zhong","key":"ref18"},{"key":"ref19","first-page":"1","article-title":"Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis","author":"zhao","year":"2017","journal-title":"31st Conference on Neural Information Processing Systems (NIPS 2017)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2015.09.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0448-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098139"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2014.01.001"},{"key":"ref8","first-page":"36","article-title":"Resampling-Based Ensemble Methods for Online Class Imbalance Learning","volume":"27","author":"wang","year":"2013","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3054925"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2016.7498264"},{"key":"ref9","first-page":"1","article-title":"Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models","volume":"25","author":"zuo","year":"2016","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref20","first-page":"1","article-title":"Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models","volume":"6706","author":"zuo","year":"2017","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"ref22","first-page":"2672","article-title":"Generative Adversarial Nets","author":"goodfellow","year":"2014","journal-title":"27th Advances in neural information processing systems (NIPS2014) Palais des Congrès de Montréal"},{"key":"ref21","article-title":"A fuzzy kernel c-means clustering model for handling concept drift in regression","author":"song","year":"2017","journal-title":"IEEE International Conference on Fuzzy Systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2015.06.032"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/21.256541"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2010.2087382"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/su8020125"}],"event":{"name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","start":{"date-parts":[[2018,7,8]]},"location":"Rio de Janeiro","end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8466242\/8491438\/08491572.pdf?arnumber=8491572","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:00:03Z","timestamp":1598223603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8491572\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/fuzz-ieee.2018.8491572","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}