|
|
|
|
|
Songpu Li, Xinran Yu and Peng Chen
Model robustness is an important index in medical cybersecurity, and hard-negative samples in electronic medical records can provide more gradient information, which can effectively improve the robustness of a model. However, hard negatives pose difficul...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xianlong Dai, Guang Cheng, Ziyang Yu, Ruixing Zhu and Yali Yuan
The results of this paper can be used in the fields related to network measurement, especially in the fields of network traffic sampling, network traffic measurement, and finding top-k elephant flows.
|
|
|
|
|
|
|
|
|
|
|
Amira Abdelwahab and Nesma Youssef
Data mining techniques are useful in discovering hidden knowledge from large databases. One of its common techniques is sequential rule mining. A sequential rule (SR) helps in finding all sequential rules that achieved support and confidence threshold fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pierluigi Crescenzi, Clémence Magnien and Andrea Marino
The harmonic closeness centrality measure associates, to each node of a graph, the average of the inverse of its distances from all the other nodes (by assuming that unreachable nodes are at infinite distance). This notion has been adapted to temporal gr...
ver más
|
|
|
|
|
|