Eul Gyu Im

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eul Gyu Im trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kevin P. Murphy (in Probabilistic & Bayesian Methods)
  2. Moo K. Chung (in Computational Theory and Mathematics)
  3. Xuxian Jiang (in Signal Processing)

Papers from Eul Gyu Im's perspective

Ordered by how strongly the researchers Eul Gyu Im trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Multimodal Deep Learning
  4. Machine learning - a probabilistic perspective
  5. RiskRanker: scalable and accurate zero-day android malware detection (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  6. DroidScope: Seamlessly Reconstructing the OS and Dalvik Semantic Views for Dynamic Android Malware Analysis (USENIX Security Symposium)
  7. Analyzing inter-application communication in Android (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  8. DroidChameleon: evaluating Android anti-malware against transformation attacks (ASIA CCS '13)
  9. “Andromaly”: a behavioral malware detection framework for android devices (Journal of Intelligence and Information Systems)
  10. DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket

Their papers