{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:31:24Z","timestamp":1761611484962},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>Transfer learning aims at building robust prediction models by transferring knowledge gained from one problem to another. In the semantic Web, learning tasks are enhanced with semantic representations. We exploit their semantics to augment transfer learning by dealing with when to transfer with semantic measurements and what to transfer with semantic embeddings. We further present a general framework that integrates the above measurements and embeddings with existing transfer learning algorithms  for higher performance. It has demonstrated to be robust in two real-world applications: bus delay forecasting and air quality forecasting.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/246","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"1779-1785","source":"Crossref","is-referenced-by-count":6,"title":["Augmenting Transfer Learning with Semantic Reasoning"],"prefix":"10.24963","author":[{"given":"Freddy","family":"L\u00e9cu\u00e9","sequence":"first","affiliation":[{"name":"CortAIx Thales, Montreal, Canada"},{"name":"Inria, Sophia Antipolis, France"}]},{"given":"Jiaoyan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Oxford, UK"}]},{"given":"Jeff Z.","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Aberdeen, UK"},{"name":"Edinburgh Research Centre, Huawei, UK"}]},{"given":"Huajun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, China"},{"name":"ZJU-Alibaba Joint Lab on Knowledge Engine, China"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:47:50Z","timestamp":1564300070000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/246"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/246","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}