Showing results 56441 to 56460 of 279126
Deep graph neural network-based prediction of acute suicidal ideation in young adults![]() Choi, Kyu Sung; Kim, Sunghwan; Kim, Byung-Hoon; Jeon, Hong Jin; Kim, Jong-Hoon; Jang, Joon Hwan; Jeong, Bumseok, SCIENTIFIC REPORTS, v.11, no.1, 2021-08 |
Deep hierarchical clustering with Dirichlet Forest Prior = 디리클레 포레스트 사전 확률을 적용한 딥 계층적 클러스터링link Kim, Kyu Seok; Moon, Il-Chul; et al, 한국과학기술원, 2021 |
Deep hybrid recommender systems via exploiting document context and statistics of items Kim, Donghyun; Park, Chanyoung; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.417, pp.72 - 87, 2017-11 |
Deep imputation network for missing-value imputation of concurrent continuous missing patterns using relationship among multiple IoT data streams in a smart space = 다중 사물인터넷 데이터 스트림의 관계성을 이용한 연속 누락 패턴 값 대체에 관한 연구link Lee, Minseok; Hyun, Soonjoo; 현순주; Lee, Younghee; et al, 한국과학기술원, 2019 |
Deep Interaction between Reinforcement Learning Algorithms and Human Reinforcement Learning 신재훈; 이지항; 이상완, 한국인공지능학회 하계학술대회, 한국인공지능학회, 2020-08 |
Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM Naveed, Kanwal; Anjum, Muhammad Latif; Hussain, Wajahat; Lee, Donghwan, AUTONOMOUS ROBOTS, v.46, no.6, pp.705 - 724, 2022-08 |
Deep Iterative Frame Interpolation for Full-frame Video Stabilization Choi, Jinsoo; Kweon, In-So, ACM TRANSACTIONS ON GRAPHICS, v.39, no.1, 2020-02 |
Deep joint deblurring and multi-frame interpolation with flow-guided attentive correlation and recursive boosting = 흐름 유도 기반의 주의 상관 관계 및 재귀 부스팅을 이용한 심층 합동 디블러링 및 다중 프레임 보간link Oh, Jihyong; Kim, Munchurl; et al, 한국과학기술원, 2023 |
Deep joint video stabilization and deblurring = 딥러닝 기반 비디오 안정화 및 디블러링 동시 처리link Yoon, Sungjoon; Kim, Changick; et al, 한국과학기술원, 2022 |
Deep Latent Factor Model for Spatio-Temporal Forecasting Koo, Wonmo; Ma, Eun-Yeol; Kim, Heeyoung, TECHNOMETRICS, v.66, no.3, pp.470 - 482, 2024-07 |
Deep learining-based Automated Detection of Bioresorbable scaffold Struts in intravascular Optical Coherence Tomography Images 남형수; 박현상; 김선원; 김진원; 오왕열; 유홍기, 2018 한국광학회 하계학술발표회, 한국광학회, 2018-08-29 |
Deep learned 2D quadrilateral finite elementslink Jung, Jaeho; Lee, Phill-Seung; et al, 2021 |
Deep learned finite elements Jung, Jaeho; Yoon, Kyungho; Lee, Phill-Seung, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.372, 2020-12 |
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging Kim, Jongbeom; Kim, Gyuwon; Li, Lei; Zhang, Pengfei; Kim, Jin Young; Kim, Yeonggeun; Kim, Hyung Ham; et al, LIGHT-SCIENCE & APPLICATIONS, v.11, no.1, 2022-05 |
Deep Learning Algorithm of Graph Convolutional Network: A Case of Aqueous Solubility Problems Cho, Hyeoncheol; Choi, Insung S., BULLETIN OF THE KOREAN CHEMICAL SOCIETY, v.40, no.6, pp.485 - 486, 2019-06 |
Deep Learning Algorithm With Residual Blocks for Chemical Gas Concentration Estimation Jang, Hee-Deok; Park, Jae-Hyeon; Chang, Dong Eui; Seo, Hyun-Soo; Nam, Hyunwoo, Journal of Institute of Control, Robotics and Systems, v.29, no.7, pp.556 - 561, 2023-07 |
Deep Learning and Computational Models of Human Audio-Visual Pathways (Tutorial) Lee, Soo-Young, International Conference on Intelligent Computing (ICIC2016), Tongji University, China, 2016-08-02 |
Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment Noh, Byeongjoon; Lin, Tengfeng; Lee, Sungju; Jeong, Taikyeong, SENSORS, v.23, no.17, 2023-09 |
Deep Learning and Human Audio-Visual Pathways (Tutorial) Lee, Soo-Young, Deep Learning and Artificial Intelligence Winter School 2018, KMUTT, 2018-02-02 |
Deep learning application to time-series prediction of daily chlorophyll-a concentration Cho, HyungMin; Choi, U-Jin; Park, Heekyung, WIT Transactions on Ecology and the Environment, v.215, pp.157 - 163, 2018-10 |
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