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NE-LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs.

T. Cai, Z. Ma, H. Zheng, и Y. Zhou. Neural Comput. Appl., 33 (19): 12535-12549 (2021)

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Tingting Wu

Tingting Xu

Tingting Han

Tingting Wen

Tingting Cui

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Active Learning for Chinese Word Segmentation in Medical Text.T. Cai, Y. Zhou, Z. Ma, H. Zheng, L. Zhang, P. He, и J. Gao. CoRR, (2019)NE-LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs.T. Cai, Z. Ma, H. Zheng, и Y. Zhou. Neural Comput. Appl., 33 (19): 12535-12549 (2021)Distributed Consensus Agreement of a Real Swarm Robotic System.D. Borra, C. Borean, F. Fagnani, R. Giannantonio, и C. Tingting. IEEE Conf. on Intelligent Systems (2), том 323 из Advances in Intelligent Systems and Computing, стр. 153-164. Springer, (2014)DistForest: A Parallel Random Forest Training Framework Based on Supercomputer.C. Wang, T. Cai, G. Suo, Y. Lu, и E. Zhou. HPCC/SmartCity/DSS, стр. 196-204. IEEE, (2018)DoTAT: A Domain-oriented Text Annotation Tool.Y. Lin, T. Ruan, M. Liang, T. Cai, W. Du, и Y. Wang. ACL (demo), стр. 1-8. Association for Computational Linguistics, (2022)Tangible vs. Multi-Touch: Comparing Potential to Enhance Learning for Preschool Children Using Eye-tracking.T. Cai, S. Sha, Z. Meng, и C. Own. ICHMI, стр. 1-6. ACM, (2021)Subgroup detection based on partially linear additive individualized model with missing data in response.T. Cai, J. Li, Q. Zhou, S. Yin, и R. Zhang. Comput. Stat. Data Anal., (апреля 2024)High Performance Hybrid Piezoelectric-Electromagnetic Energy Harvester for Scavenging Energy From Low-Frequency Vibration Excitation.Y. Yang, T. Cai, S. Xue, X. Song, и X. Cui. IEEE Access, (2020)Exploring the Potential of Tangible and Multitouch Interfaces to Promote Learning Among Preschool Children.C. Own, T. Cai, и C. Hung. IEEE Trans. Learn. Technol., 16 (1): 66-77 (февраля 2023)D3CARP: a comprehensive platform with multiple-conformation based docking, ligand similarity search and deep learning approaches for target prediction and virtual screening.Y. Shi, X. Zhang, Y. Yang, T. Cai, C. Peng, L. Wu, L. Zhou, J. Han, M. Ma, W. Zhu и 1 other автор(ы). Comput. Biol. Medicine, (сентября 2023)

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