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| Deep Generative Positive-Unlabeled Learning under Selection Bias Na, Byeonghu; Kim, Hyemi; Song, Kyungwoo; Joo, Weonyoung; Kim, Yoonyeong; Moon, Il-Chul, 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, pp.1155 - 1164, Association for Computing Machinery, 2020-10-19 |
| Deep generative positive-unlabeled learning under selection bias = 선택 편향 상황에서 딥 생성 모델을 이용한 양성-미분류 문제 학습link Na, Byeonghu; Moon, Il-Chul; et al, 한국과학기술원, 2021 |
| Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimization Park, Donggeun; Lee, Jaemin; Lee, Hugon; Gu, Grace X.; Ryu, Seunghwa, MATERIALS HORIZONS, v.11, no.13, pp.3048 - 3065, 2024-07 |
| Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design Lee, Mingyu; Park, Youngseo; Jo, Hwisang; Kim, Kibum; Lee, Seungkyu; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.144, no.7, 2022-07 |
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 |
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