연구 소개

• [최우수 저널 논문] - 이성환 교수님 연구실의 새 연구, IEEE Transactions on Neural Networks and Learning Systems에 게재 허가

  이성환 교수님의 새 연구, "Uncertainty-Aware Portfolio Management with Risk-Sensitive Multi-Agent Network"이 Computer Science, Theory & Methods 분야 저널 110개 중 3위(2.7%), Computer Science, Artificial Intelligence 분야 저널 139개 중 10위(7.2%) 저널인 IEEE Transactions on Neural Networks and Learning Systems에 게재 허가 되었습니다.   K. Park, H.-K. Jung, T.-S. Eom, S.-W. Lee, "Uncertainty-Aware Portfolio Management with Risk-Sensitive Multi-Agent Network," IEEE Trans. on Neural Networks and Learning Systems, 2022 (Accepted).

• [최우수 저널 논문] - 석흥일 교수님 연구실의 새 연구, IEEE Journal of Biomedical and Health Informatics에 게재 허가

  석흥일 교수님의 새 연구, "Multi-view Integrative Attention-based Deep Representation Learning for Irregular Clinical Time-series Data"가 IF 상위 8.6%(MATHEMATICAL & COMPUTATIONAL BIOLOGY 분야 58개 논문 중 5위, JCR-IF: 5.772) 저널인 IEEE Journal of Biomedical and Health Informatics에 게재 허가되었습니다.     Yurim Lee, Eunji Jun, Jaehun Choi, and Heung-Il Suk, “Multi-view Integrative Attention-based Deep Representation Learning for Irregular Clinical Time-series Data,” IEEE Journal of Biomedical and Health Informatics (Accepted).

• [최우수 저널 논문] - 이성환 교수님 연구실의 새 연구, IEEE Transactions on Emerging Topics in Computing에 게재 허가

  이성환 교수님의 새 연구, "PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-day Malware Detection"가 IF 상위 6.52% (Computer Science, Information Systems 분야 161개 저널 중 11위) 저널인 IEEE Transactions on Emerging Topics in Computing에 게재 허가되었습니다.   Dong-Ok Won, Yong-Nam Jang, and Seong-Whan Lee, “PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-day Malware Detection,” IEEE Transactions on Emerging Topics in Computing, 2022 (Accepted).