追踪 发表于 2025-3-23 10:44:55
http://reply.papertrans.cn/31/3003/300279/300279_11.png圆桶 发表于 2025-3-23 13:55:24
Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networksrency and trust can be ensured in the underlying distributions and relationships of the resulting synthetic datasets. What is more, these datasets offer a strong level of privacy through lower risks of identifying real patients.inferno 发表于 2025-3-23 21:21:10
http://reply.papertrans.cn/31/3003/300279/300279_13.png缩减了 发表于 2025-3-23 22:29:12
http://reply.papertrans.cn/31/3003/300279/300279_14.pngGIST 发表于 2025-3-24 05:53:57
Resource-Constrained On-Device Learning by Dynamic Averagingr processors typically only have integer processing capabilities. This paper investigates an approach to communication-efficient on-device learning of integer exponential families that can be executed on low-power processors, is privacy-preserving, and effectively minimizes communication. The empiriHyperalgesia 发表于 2025-3-24 08:50:03
MitM Attack Detection in BLE Networks Using Reconstruction and Classification Machine Learning Technus data batches. We then applied a classification method based on Text-CNN technique to classify packets as normal or attack inside each suspicious batch. Our model reconstruction results show that we are able to discriminate normal and attack models with high precision and our classification methodjocular 发表于 2025-3-24 14:27:22
Hybrid Connection and Host Clustering for Community Detection in Spatial-Temporal Network Datay unsupervised, our method outperforms many existing approaches. To the best of our knowledge, the only approaches with comparable performance require manual filtering of connections and feature engineering steps. In contrast, our method is applied to raw network traffic. We apply our pipeline to thG-spot 发表于 2025-3-24 18:38:55
http://reply.papertrans.cn/31/3003/300279/300279_18.pngevince 发表于 2025-3-24 22:16:54
Conference proceedings 2020DML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. .The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons AttributioNarcissist 发表于 2025-3-25 00:10:40
1865-0929 ws Recommendation and Analytics, INRA 2020. .The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attributio978-3-030-65964-6978-3-030-65965-3Series ISSN 1865-0929 Series E-ISSN 1865-0937