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Predicting Autism Spectrum Disorder Using Blood-based Gene Expression Signatures and Machine Learning Oh, Dong Hoon; Kim, Il Bin; Kim, Seok Hyeon; Ahn, Dong Hyun, CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE, v.15, no.1, pp.47 - 52, 2017-02 |
| Predicting biochemical and physiological effects of natural products from molecular structures using machine learning Jeon, Junhyeok; Kang, Seongmo; Kim, Hyun Uk, NATURAL PRODUCT REPORTS, v.38, no.11, pp.1954 - 1966, 2021-11 |
| Predicting body movements for person identification under different walking conditions Nguyen, Duc-Phong; Phan, Cong-Bo; Koo, Seungbum, FORENSIC SCIENCE INTERNATIONAL, v.290, pp.303 - 309, 2018-09 |
| Predicting Box-office Performance: A Hybrid Framework Based on the Combination of Traditional and Big-data Mining Algorithms 예상준; 이문용; 송환준; 김현영; 유강재; 김철, International Conference on Convergence Content 2015, 한국콘텐츠학회, 2015-12-12 |
| Predicting BVI Loadings and Wake Structure of the HART II Rotor Using Adaptive Unstructured Meshes Yu DO; Jung MS; Kwon OJ; Yu YH, INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES , v.10, no.2, pp.95 - 105, 2009-11 |
| Predicting BVI Loadings and Wake Structure of the HART II Rotor Using Adaptive Unstructured Meshes Yu, D. O; Jung, M. S; Kwon, Oh Joon; Yu, Y. H, Presented at the 2nd International Forum on Rotorcraft Multidisciplinary Technology, 2009-10-19 |
| Predicting clinical benefit of immunotherapy by antigenic or functional mutations affecting tumour immunogenicity Kim, Kwoneel; Kim, Hong Sook; Kim, Jeong Yeon; Jung, Hyunchul; Sun, Jong-Mu; Ahn, Jin Seok; Ahn, Myung-Ju; et al, NATURE COMMUNICATIONS, v.11, no.1, 2020-02 |
| Predicting clinical responses to checkpoint immunotherapy based on genetic and epigenetic alterations in cancer = 유전적 및 후성유전적 변이에 기반한 항암면역치료 반응성 예측link Kim, Kyeong Hui; Choi, Jung Kyoon; et al, 한국과학기술원, 2022 |
| Predicting complexity of refactoring within refactoring application contexts = 적용 상황에서의 코드 리팩토링의 복잡도 예측link Gim, Jong-Gun; 김종근; et al, 한국정보통신대학교, 2006 |
| Predicting computer task performance: Personal goal and self-efficacy Yi, Mun Yong; Im, K.S., JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, v.16, no.2, pp.20 - 37, 2004-04 |
| Predicting corporate defaults using machine learning with geometric-lag variables Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, INVESTMENT ANALYSTS JOURNAL, v.50, no.3, pp.161 - 175, 2021-07 |
| Predicting critical transitions in complex systems = 복잡계 시스템의 임계전이 예측에 관한 연구link Chu, Hyunho; 추현호; et al, 한국과학기술원, 2016 |
| Predicting Detectability and Annoyance of EV Warning Sounds using Partial Loudness Jacobsen, Gustav N; Ih, Jeong Guon; Song, Wookeun; Macdonald, Ewen N, Inter-Noise 2016, InterNoise, 2016-08-22 |
| Predicting disease phenotypes based on the molecular networks with Condition-Responsive Correlation Lee, Se-Joon; Lee, Eun-Jung; Lee, Kwang-Hyung; Lee, Do-Heon, INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v.5, no.2, pp.131 - 142, 2011-03 |
| Predicting double-blade vertical axis wind turbine performance by a quadruple-multiple streamtube model Hara, Y.; Kawamura, T.; Akimoto, Hiromichi; Tanaka, K.; Nakamura, T.; Mizumukai, K., International Journal of Fluid Machinery and Systems, v.7, no.1, pp.16 - 27, 2014-03 |
| Predicting drug interactions from molecular structures using machine learning Kim, Hyun Uk, Artificial Intelligence for Natural Product Drug Discovery, Lorentz Center, 2021-09-27 |
| Predicting drug response using biological networks = 생물학적 네트워크를 활용한 약물 반응 예측link Hwang, Woochang; 황우창; et al, 한국과학기술원, 2016 |
| Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks Lim, Jaechang; Ryu, Seongok; Park, Kyubyong; Choe, Yo Joong; Ham, Jiyeon; Kim, Woo Youn, The 5 th International Conference on Molecular Simulation, The Korean Institute of Metals and Materials, The Korea Institute of Science and Technology, Korea Advanced Institute of Science and Technology - ACE Team, Seoul National University, 2019-11-05 |
| Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation Lim, Jaechang; Ryu, Seongok; Park, Kyubyong; Choe, Yo Joong; Ham, Jiyeon; Kim, Woo Youn, JOURNAL OF CHEMICAL INFORMATION AND MODELING, v.59, no.9, pp.3981 - 3988, 2019-09 |
| Predicting drug-target interaction using a novel graph neural network with 3D structure-embedded graph representation 임재창; 류성옥; 박규병; 최요중; 함지연; 김우연, 제130차 대한화학회 물리화학분과회 하계 심포지엄, 대한화학회 물리화학분과회, 2019-07-08 |
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