CAESAR: context-aware explanation based on supervised attention for service recommendations
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-020-00631-8
Abstract: Explainable recommendations have drawn more attention from both academia and industry recently, because they can help users better understand recommendations (i.e., why some particular items are recommended), therefore improving the persuasiveness of the recommender system… read more here.
Keywords: based supervised; caesar context; attention; supervised attention ... See more keywords
Supervised Attention-Based Bidirectional Long Short-Term Memory Network for Nonlinear Dynamic Soft Sensor Application
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DOI: 10.1021/acsomega.2c07400
Abstract: Soft sensors are mathematical methods that describe the dependence of primary variables on secondary variables. A nonlinear characteristic commonly appears in modern industrial process data with increasing complexity and dynamics, which has brought challenges to… read more here.
Keywords: based bidirectional; attention based; supervised attention; soft sensor ... See more keywords
Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3241436
Abstract: Remote sensing change detection (RSCD) aims to explore surface changes from co-registered pair of images. However, the high cost of memory and computation in previous convolutional neural network (CNN)-based methods prevent their successes from being… read more here.
Keywords: aggregation; supervised attention; remote sensing; sensing change ... See more keywords
Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning With Supervised Attention
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2020.2992331
Abstract: Effective and reliable machinery health assessment and prognostic methods have been highly demanded in modern industries. In the past years, promising prognostic results have been achieved by the intelligent data-driven approaches. However, the existing methods… read more here.
Keywords: useful life; life prediction; partial observation; supervised attention ... See more keywords