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| Deep Learning-Based Universal Beamformer for Ultrasound Imaging Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, pp.619 - 627, Springer, 2019-10 |
| Deep Learning-Based Unsupervised Human Facial Retargeting Kim, Seonghyeon; Jung, Sunjin; Seo, Kwanggyoon; Blanco i Ribera, Roger; Noh, Junyong, COMPUTER GRAPHICS FORUM, v.40, no.7, pp.45 - 55, 2021-11 |
| Deep Learning-Based Video Retrieval Using Object Relationships and Associated Audio Classes Kim, Byoungjun; Shim, Ji Yea; Park, Minho; Ro, Yong Man, 26th International Conference on MultiMedia Modeling, MMM 2020, pp.803 - 808, KAIST, Korea Multimedia Society, 2020-01-06 |
| Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning Park, Sangjoon; Ye, Jong Chul; Lee, Eun Sun; Cho, Gyeongme; Yoon, Jin Woo; Choi, Joo Hyeok; Joo, Ijin; et al, KOREAN JOURNAL OF RADIOLOGY, v.24, no.6, pp.541 - 552, 2023-06 |
| Deep Learning-Enabled High-Resolution and Fast Sound Source Localization in Spherical Microphone Array System Lee, Soo Young; Chang, Jiho; Lee, Seungchul, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, v.71, 2022 |
| Deep Learning‐Based Unsupervised Human Facial Retargeting Kim, Seonghyeon; Jung, Sunjin; Seo, Kwanggun; i Ribera, Roger Blanco; Noh, Junyong, The 28th and 29th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 20+21, pp.45 - 55, Pacific Graphics, 2021-10-18 |
| Deep Least Squares Regression for Speaker Adaptation Kim, Younggwan; Lim, Hyungjun; Goo, Jahyun; Kim, Hoi-Rin, 18th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2017), pp.729 - 733, International Speech Communication Association (ISCA), 2017-08-21 |
| Deep Least Squares Regression-Based Speaker-Dependent Layer Initialization for DNN Acoustic Model Adaptation Kim, Younggwan; Jung, Youngmoon; Choi, Yeunju; Kim, Hoi-Rin, ICCE-Asia, pp.361 - 364, IEEE, IEIE, 2018-06-25 |
| Deep light clustering for denoising Monte Carlo renderings = 렌더링 노이즈 제거를 위한 심층학습 기반 광선 클러스터링 방법link Cho, In-Young; Yoon, Sung-Eui; et al, 한국과학기술원, 2021 |
| Deep mixed effect model using gaussian processes : a personalized and reliable prediction for healthcare = 가우시안 프로세스를 이용한 심층 혼합 효과 모델 : 의료 분야에서 신뢰 가능하고 개인화된 예측link Chung, Ingyo; Yang, Eunho; et al, 한국과학기술원, 2020 |
| Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Chung, Ingyo; Kim, Saehoon; Lee, Juho; Kim, Kwang Joon; Hwang, Sung Ju; Yang, Eunho, 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.3649 - 3657, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2020-02-07 |
| Deep mixing improvement of soft ground adjacent to a historic masonry wall: Performance and impacts on surroundings Choo, Jinhyun; Kim, Youngseok; Cho, Yongsang, 4th International Conference on Grouting and Deep Mixing 2012, pp.463 - 470, American Society of Civil Engineers (ASCE), 2012-02 |
| Deep Model Compression Also Helps Models Capture Ambiguity Park, Hancheol; Park, Jong-Cheol, 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, pp.6893 - 6905, Association for Computational Linguistics (ACL), 2023-07-10 |
| Deep monocular visual odometry with generative adversarial network = 심층학습과 생산적 적대 신경망을 이용한 시각적 주행 측정법link Kim, Inhwan; Har, DongSoo; et al, 한국과학기술원, 2022 |
| Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling Choi, Yeunju; Jung, Youngmoon; Kim, Hoi-Rin, Interspeech 2020, pp.1743 - 1747, ISCA, 2020-10-27 |
| Deep motion refinement for stitched locomotion = 딥러닝 기반 스티칭된 보행 애니메이션 수정link Kim, Haemin; Noh, Junyong; et al, 한국과학기술원, 2022 |
| Deep multiplex graph infomax: Attentive multiplex network embedding using global information Park, Chanyoung; Han, Jiawei; Yu, Hwanjo, KNOWLEDGE-BASED SYSTEMS, v.197, 2020-06 |
| Deep mutational scanning of Escherichia coli Flavin mononucleotide binding fluorescent protein for the funtion and sequence relationship Shin, HyeonSeok; Cho, Yoobok; Choe, Dong-Hui; Jeong, Yujin; Cho, Suhyung; Kim, Sun Chang; Cho, Byung-Kwan, The 13th China-Japan-Korea Joint Symposium on Enzyme Engineering, pp.27 - 27, The Korean Society for Biotechnology and Bioengineering, 2014-11-18 |
| Deep Mutational Scanning of Protein Sequences for the Understanding of Function and Sequence Relationship Cho, Byung Kwan, International Union of Pure and Applied Chemistry(IUPAC), International Union of Pure and Applied Chemistry(IUPAC), 2015-08 |
| Deep Neural Controller: a Neural Network for Model-free predictive Control and its Application to Viscosity Control in Chemical Process Park, Junyoung; Park, Jinkyoo, International Workshop on Structural Health Monitoring (IWSHM), Stanford University, 2017-09-13 |
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