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| Deep Learning of Speech Features for Improved Phonetic Recognition Lee, JH; Lee Soo-Young, 12th Annual Conference of the International Speech Communication Association (Interspeech 2011), 2011-08-27 |
| Deep learning on classifying small lesions from small datasets for computer-aided diagnosis = 컴퓨터 보조 진단을 위한 소규모 자료 집합의 소형 병변 분류에서의 심층 신경망 학습link Lee, Hansang; Kim, Junmo; et al, 한국과학기술원, 2019 |
| Deep learning processors for on-device intelligence Yoo, Hoi-Jun, 30th Great Lakes Symposium on VLSI, GLSVLSI 2020, pp.1 - 8, Association for Computing Machinery, 2020-09 |
| Deep Learning Provides Substantial Improvements to County-Level Fire Weather Forecasting Over the Western United States Son, Rackhun; Ma, Po-Lun; Wang, Hailong; Rasch, Philp J.; Wang, Shih-Yu (Simon); Kim, Hyungjun; Jeong, Jee-Hoon; et al, JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, v.14, no.10, 2022-10 |
| Deep learning STEM-EDX tomography of nanocrystals Han, Yoseob; Jang, Jaeduck; Cha, Eunju; Lee, Junho; Chung, Hyungjin; Jeong, Myoungho; Kim, Tae-Gon; et al, Nature Machine Intelligence, v.3, pp.267 - 274, 2021-03 |
| Deep learning strategies for acquisition, processing, and quantification of dynamic susceptibility contrast perfusion MRI = 딥러닝 접근법을 통한 역동자화율대조 관류 MRI 영상 획득, 처리 및 정량화link Asaduddin, Muhammad; 무함마드 아사두딘; et al, 한국과학기술원, 2024 |
| Deep learning technique for crack detection and localization of civil infrastructures Kim, In-Ho; Jung, Hyung-Jo, The 12th KAIST-Tongji Symposium on Civil Engineering, KAIST, 2018-08-07 |
| Deep Learning to Produce Realistic MR Images through Fréchet Inception Distance Monitoring Seo, Sunghun; Choi, Seung Hong; Park, Sung-Hong, 2020 ISMRM & SMRT Virtual Conference & Exhibition, pp.3609, International Society for Magnetic Resonance in Medicine, 2020-08-11 |
| Deep learning untangles the resistance mechanism of p53 reactivator in lung cancer cells Lee, Soo Min; Han, Younghyun; Cho, Kwang-Hyun, ISCIENCE, v.26, no.12, 2023-12 |
| Deep learning with domain adaptation for accelerated projection-reconstruction MR Han, Yo Seob; Yoo, Jaejun; Kim, Hak Hee; Shin, Hee Jung; Sung, Kyunghyun; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.80, no.3, pp.1189 - 1205, 2018-09 |
| Deep Learning with Historical Features and Timewise Similarity for Multiple Objects Tracking Tao, Tuan Manh; Lee, Changha; Jeon, Min Su; Youn, Chan-Hyun, The 14th International Conference on ICT Convergence, ICTC 2023, The Korean Institute of Communications and Information Sciences (KICS), 2023-10-12 |
| Deep Learning-Aided SCMA Kim, Minhoe; Kim, Nam-I; Lee, Woongsup; Cho, Dong-Ho, IEEE COMMUNICATIONS LETTERS, v.22, no.4, pp.720 - 723, 2018-04 |
| Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy With a Temporal Convolutional Network Lim, Hyungtae; Ryu, Hanseok; Rhudy, Matthew B.; Lee, Dongjin; Jang, Dongjin; Lee, Changho; Park, Youngmin; et al, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.1, pp.17 - 24, 2022-01 |
Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs Kim, Ue-Hwan; Kim, Moon Young; Park, Eun-Ah; Lee, Whal; Lim, Woo-Hyun; Kim, Hack-Lyoung; Oh, Sohee; et al, KOREAN JOURNAL OF RADIOLOGY, v.22, no.11, pp.1918 - 1928, 2021-11 |
| Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[F-18]FDG PET Kim, Suhong; Lee, Peter; Oh, Kyeong Taek; Byun, Min Soo; Yi, Dahyun; Lee, Jun Ho; Kim, Yu Kyeong; et al, EJNMMI RESEARCH, v.11, no.1, 2021-06 |
| Deep Learning-Based Analysis on Monthly Household Consumption for Different Electricity Contracts Lim, Chae-Gyun; Choi, Ho-Jin, 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, pp.545 - 547, IEEE,Korean Institute of Information Scientists and Engineers (KIISE), 2020-02-19 |
| Deep Learning-Based analytic framework using comprehensive urbanization index for heat vulnerability assessment in urban areas Kim, Yesuel; Kim, Youngchul, EXPERT SYSTEMS WITH APPLICATIONS, v.235, 2024-01 |
| Deep Learning-based Approach on Risk Estimation of Urban Traffic Accidents Jin, Zhixiong; Noh, Byeongjoon; Cho, Haechan; Yeo, Hwasoo, IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), pp.1446 - 1451, IEEE, 2022-10 |
| Deep learning-based approaches for unsupervised core-set selection = 비지도 코어 세트선택을 위한 딥 러닝 기반 방법론에 관한 연구link Ju, Jeongwoo; Kim, Junmo; et al, 한국과학기술원, 2022 |
| Deep learning-based beamforming design for MIMO systems with hardware impairments = 하드웨어 불완전성이 존재하는 다중 안테나 시스템을 위한 심층학습 기반 빔포밍 설계link Jee, Jeongju; 지정주; et al, 한국과학기술원, 2024 |
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