BiS-Conference Papers(학술회의논문)

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Collection's Items (Sorted by Submit Date in Descending order): 21 to 40 of 3021

21

Predicting anticancer drug responses using deep learning based on cancer cell line gene expression profiles and drug molecular fingerprints

Han, Younghyun; Kim, Juntae; Cho, Kwang-Hyunresearcher, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-07

22

Cell-type specific optimized therapy for colorectal cancer based on dynamical analysis of variant network models

Park, Sang-Min; Hwang, Chae-Young; Lee, Daewon; Gong, Jeong-Ryeol; Cho, Kwang-Hyunresearcher, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-07

23

The minimum dominating sets in a brain network critically determine the efficiency of local communication of the network

Lee, Byeongwook; Kang, Uiryong; Chang, Hongjun; Cho, Kwang-Hyunresearcher, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-07

24

Analysis of phenotypic network changes along with the sequential occurrence of driver mutations during colorectal tumorigenesis

Gong, Jeong-Ryeol; Shin, Dongkwan; Lee, Jong-Hoon; Cho, Kwang-Hyunresearcher, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-07

25

Increasing the network communicability of a damaged brain network for rehabilitation

Kang, Uiryong; Lee, Byeongwook; Chang, Hongjun; Cho, Kwang-Hyunresearcher, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-07

26

A study on frequency-dependent state transition patterns in brain networks using energy landscape analysis

Chang, Hongjun; Lee, Byeongwook; Kang, Uiryong; Cho, Kwang-Hyunresearcher, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-09

27

Predicting the perturbation effects in biological networks based on linear system approximation modeling

Jang, Soyeong; Lee, Jong-Hoon; Kim, Yunseong; Kim, Dong-San; Cho, Kwang-Hyunresearcher, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-09

28

Identification of a novel target for senotherapeutics in fibroblasts

AN, SUGYUN; Kang, Junsoo; Lee, Soobeom; Cho, Kwang-Hyunresearcher, Proc. 19th Int. Conf. on Systems Biology (ICSB2018), Proc. 19th Int. Conf. on Systems Biology (ICSB2018), 2018-10-28

29

Robustness of controllability in structural brain networks

Kang, Uiryong; Lee, Byeongwook; Chang, Hongjun; Cho, Kwang-Hyunresearcher, Proc. 19th Int. Conf. on Systems Biology (ICSB2018), Proc. 19th Int. Conf. on Systems Biology (ICSB2018), 2018-10-28

30

Network modeling and systems analysis reveal epithelial-to-mesenchymal transition spectrum and novel synergistic targets for its reversion

Kim, Namhee; Kim, Yunseong; Cho, Kwang-Hyunresearcher, Proc. 19th Int. Conf. on Systems Biology (ICSB2018), Proc. 19th Int. Conf. on Systems Biology (ICSB2018), 2018-10-29

31

Designing model-based and model-free reinforcement learning tasks without human guidance

Shin, Jae Hoon; Lee, Jee Hang; Tong, Shuangyi; Kim, Sang Hwan; Lee, Sang Wanresearcher, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM 2019, 2019-07-08

32

Deciphering model-based and model-free reinforcement learning strategies and choices from EEG

Kim, Dongjae; Lee, Sang Wanresearcher, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM 2019, 2019-07-08

33

Behavioral and neural evidence for intrinsic motivation effect on reinforcement learning

Kim, Dongjae; Lee, Sang Wanresearcher, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM 2019, 2019-07-08

34

Metacognitive exploration in reinforcement learning

An, Su Jin; De Martino Benedetto; Lee, Sang Wanresearcher, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM 2019, 2019-07-08

35

Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease

Jeong, Jaeseungresearcher; Mohamed Elgendi; Francois Vialatte; Andrzej Cichocki; Charles Latchoumane; Justin Dauwels, the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, IEEE Engineering in Medicine and Biology Society, 2011-08-30

36

Decreased Phase Synchronization of the EEG in Patients with Major Depressive Disorder

Jeong, Jaeseungresearcher; Park, Chan-A; Kwon, Ryuk-Jun; Kim, Seungyeon; Jang, Hye-ran; Chae, Jeong-Ho; Kim, Taemin, IFMBE, Springer Verlag, 2006-09-01

37

Stationary epoch-based entropy estimation for early diagnosis of Alzheimer's disease

Jeong, Jaeseungresearcher; Houmani, N; Vialatte, FB; Latchoumane, C; Dreyfus, G, 2013 IEEE Faible Tension Faible Consommation, FTFC 2013, Institute of Electrical and Electronics Engineers Inc., 2013-06-20

38

Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands

Jeong, Jaeseungresearcher; Esteve Gallego-Jutglà; Mohamed Elgendi; Francois Vialatte; Jordi Solé-Casals; Andrzej Cichocki; Charles Latchoumane; et al, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, IEEE Engineering in Medicine and Biology Society, 2012-08-28

39

Noninvasive brain-computer interface-based control of humanoid navigation

Chae, Yongwook; Jeong, Jaeseungresearcher; Jo, Sungho, IEEE International Conference on Intelligent Robots and Systems, IEEE Robotics and Automation Society (RAS), 2011-09-25

40

Managing bad news in social media: A case study on Domino's Pizza crisis

Park, Jaram; Jeong, Jaeseungresearcher; Cha, Meeyoung; Kim, Hoh, ICWSM 2012 - Proceedings of the 6th International AAAI Conference on Weblogs and Social Media, Association for the Advancement of Artificial Intelligence (AAAI), 2012-06-04

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