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| 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 |
| Deep Neural Experimenter : Hypothesis and Covariate Auto-Verification Paradigm Lee, C; Heo, S; 이상완, NBNI 2018, 한국뇌공학과, 2018-10-15 |
| Deep neural mismatch model for VR sickness assessment in virtual environment = 가상 환경에서 VR 멀미 평가를 위한 심층 신경 불일치 모델link Kim, Hak Gu; Ro, Yong Man; et al, 한국과학기술원, 2019 |
| Deep neural network (DNN)-based potential defect detection and classification method for through silicon via (TSV) in 2.5D & 3D packaging = 관통 실리콘 비아가 적용된 2.5 & 3차원 패키지에 대한 심층 신경망 기반의 잠재적인 결함 탐색 및 분류 방법link Hwang, In-Tae; Kim, Joungho; et al, 한국과학기술원, 2021 |
| Deep neural network (DNN)-based dicing quality estimation method for stealth dicing before grinding (SDBG) process = 심층 신경망 기반의 스텔스 다이싱 공정 품질 예측 방법link Kim, Donghyun; Kim, Joungho; et al, 한국과학기술원, 2023 |
| Deep neural network approach for fault detection and diagnosis during startup transient of liquid-propellant rocket engine Park, Soon-Young; Ahn, Jaemyung, ACTA ASTRONAUTICA, v.177, pp.714 - 730, 2020-12 |
| Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor Park, Hyunkyu; Lee, Hyosang; Park, Kyungseo; Mo, Sangwoo; Kim, Jung, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, pp.7447 - 7452, Institute of Electrical and Electronics Engineers Inc., 2019-11 |
| Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing Park, Hyunkyu; Park, Kyungseo; Mo, Sangwoo; Kim, Jung, IEEE TRANSACTIONS ON ROBOTICS, v.37, no.5, pp.1570 - 1583, 2021-10 |
| Deep Neural Network Based Multipath Mitigation Method for Carrier Based Differential GNSS Systems Min, Dongchan; Kim, Minchan; Lee, Jinsil; Lee, Jiyun, ION 2019 Pacific PNT Meeting, pp.451 - 466, Institute of Navigation, 2019-04 |
| Deep neural network based multipath mitigation method for carrier-based differential GNSS systems = 반송파 기반 DGNSS 시스템을 위한 신경망 기반 다중 경로 오차 완화 기법 연구link Min, Dongchan; Lee, Jiyun; et al, 한국과학기술원, 2019 |
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