Entropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Detection

no code implementations • 11 May 2023 • Seok Bin Son, Soohyun Park, Joongheon Kim

Clustering data is an unsupervised learning approach that aims to divide a set of data points into multiple groups.

Clustering

Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks

no code implementations • 2 Sep 2022 • Haemin Lee, Seok Bin Son, Won Joon Yun, Joongheon Kim, Soyi Jung, Dong Hwa Kim

One of the key topics in network security research is the autonomous COA (Couse-of-Action) attack search method.

Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks

no code implementations • 27 May 2022 • Seok Bin Son, Soohyun Park, Haemin Lee, Joongheon Kim, Soyi Jung, Donghwa Kim

In the literature of modern network security research, deriving effective and efficient course-of-action (COA) attach search methods are of interests in industry and academia.

reinforcement-learning Reinforcement Learning (RL)