Cite Article
Cite Article
MLA
Zhang, Lei, et al. "Semantic Coarse-to-Fine Granularity Learning for Two-Stage Few-Shot Anomaly Detection." IJSWIS vol.20, no.1 2024: pp.1-22. http://doi.org/10.4018/IJSWIS.344426
APA
Zhang, L., Lyu, C., Chen, Z., Li, S., & Xia, B. (2024). Semantic Coarse-to-Fine Granularity Learning for Two-Stage Few-Shot Anomaly Detection. International Journal on Semantic Web and Information Systems (IJSWIS), 20 (1), 1-22. http://doi.org/10.4018/IJSWIS.344426
Chicago
Zhang, Lei, et al. "Semantic Coarse-to-Fine Granularity Learning for Two-Stage Few-Shot Anomaly Detection," International Journal on Semantic Web and Information Systems (IJSWIS) 20, no.1: 1-22. http://doi.org/10.4018/IJSWIS.344426
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International Journal on Semantic Web and Information Systems (IJSWIS) The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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