Showing results 12 to 31 of 55
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Issue Date | Title | Author(s) |
2019-01-01 | Deep active learning for anchor user prediction | Cheng, A; Zhou, C; Yang, H; Wu, J; Li, L; Tan, J; Guo, L |
2013-01 | Discovering Semantics from Multiple Correlated Time Series Stream | Qiao, Z; Huang, G; He, J; Zhang, P; Guo, L; Cao, J; Zhang, Y |
2016-06-01 | Discovery of stop regions for understanding repeat travel behaviors of moving objects | Huang, G; He, J; Zhou, W; Huang, GL; Guo, L; Zhou, X; Tang, F |
2019-04-15 | Distribution margins as natural laboratories to infer species’ flowering responses to climate warming and implications for frost risk | Guo, L; Wang, J; Li, M; Liu, L; Xu, J; Cheng, J; Gang, C; Yu, Q; Chen, J; Peng, C; Luedeling, E |
2012-01 | Efficient Behavior Targeting Using SVM Ensemble Indexing | Li, J; Zhang, P; Cao, Y; Liu, P; Guo, L; NA |
2012-01 | An empirical study of morphing on network traffic classification | Qu, B; Zhang, Z; Guo, L; Zhu, X; Meng, D; NA |
2011-12-01 | Enabling fast lazy learning for data streams | Zhang, P; Gao, BJ; Zhu, X; Guo, L |
2011-01 | Enabling fast prediction for ensemble models on data streams | Zhang, P; Li, J; Wang, P; Gao, BJ; Zhu, X; Guo, L; NA |
2016-03 | Evaluation of different nitrous oxide production models with four continuous long-term wastewater treatment process data series. | Spérandio, M; Pocquet, M; Guo, L; Ni, B-J; Vanrolleghem, PA; Yuan, Z |
2016-07-01 | Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy | Niu, W; Tong, E; Li, Q; Li, G; Wen, X; Tan, J; Guo, L |
2020 | Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams | Sun, H; He, Q; Liao, K; Sellis, T; Guo, L; Zhang, X; Shen, J; Chen, F; Baru, C; Huan, J; Khan, L; Hu, XH; Ak, R; Tian, Y; Barga, R; Zaniolo, C; Lee, K; Ye, YF |
2012-01 | A framework for application-driven classification of data streams | Zhang, P; Gao, BJ; Liu, P; Shi, Y; Guo, L |
2018-10-10 | IWalk: Interest-Aware Random Walk for Network Embedding | Zan, W; Zhou, C; Yang, H; Hu, Y; Guo, L |
2017-01-01 | Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold | Li, Q; Wang, Z; Li, G; Cao, Y; Xiong, G; Guo, L; Koumoutsakos, P; Lees, M; Krzhizhanovskaya, V; Dongarra, J; Sloot, P |
- | Methods of determining clinical questions in the formulation of acupuncture-moxibustion clinical practice guideline: take “clinical practice guideline for acupuncture-moxibustion treatment of mild to moderate depression in adults” as an example | Fan, Q; Guo, L; Feng, Y; Kuang, H; Xu, Y; Tang, H; Zaslawski, C; Zhao, H |
2009-12-01 | Mining data streams with labeled and unlabeled training examples | Zhang, P; Zhu, X; Guo, L |
2011-01 | Mining frequent patterns across multiple data streams | Guo, J; Zhang, P; Tan, J; Guo, L; al, BBE |
2012-01 | Mining Hot Topics from Twitter Streams | Guo, J; Zhang, P; Tan, J; Guo, L |
2012-01 | Mining Multi-label Data Streams Using Ensemble-based Active Learning | Wang, P; Zhang, P; Guo, L; Ghosh, J; Liu, H; Davidson, I; Domeniconi, C; Kamath, C |
2020-12-01 | Non-technical losses detection in smart grids: An ensemble data-driven approach | Xing, Y; Guo, L; Xie, Z; Cui, L; Gao, L; Yu, S |