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| DeepDDI for understanding pharmacological effects of natural products Kim, Hyun Uk; Ryu, JY; Lee, SY, Natural Products - Discovery, Biosynthesis and Application, Copenhagen Bioscience Conferences, Novo Nordisk Foundation, 2019-05-08 |
| DeepDDI: A Computational Framework for the Prediction of Drug Interactions Using Deep Learning Jeon, J; Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, 2019년 한국미생물·생명공학회 국제학술대회 및 정기학술대회, 한국미생물·생명공학회, 2019-06-24 |
| DeepEC: a Computational Framework for Prediction of Enzyme Commission Numbers Using Deep Learning Method 류재용; 구창대; 김현욱; 이상엽, 2019 한국생물공학회 추계학술발표대회 및 국제심포지엄, 한국생물공학회, 2019-10-11 |
| DeepEC: fine-quality prediction of enzyme commission numbers using deep learning Kim, YJ; Kim, Hyun Uk; Ryu, Jae Yong; Lee, Sang Yup, 한국화학공학회 2019년도 가을 총회 및 학술대회, 한국화학공학회, 2019-10-25 |
| DeepFisheye: Near-Surface Multi-Finger Tracking Technology Using Fisheye Camera Pak, Keunwoo; Kim, Sunbum; Yoon, Youngwoo; Kim, Tae-kyun; Lee, Geehyuk, ACM Symposium on User Interface Software and Technology (UIST), pp.1132 - 1146, ACM, 2020-10-23 |
| DeepFormableTag : end-to-end deformable fiducial marker generation and recognition system via differentiable rendering = 미분가능 렌더링을 통한 변형 가능한 위치 표지자 생성 및 인식 시스템link Yaldiz, Mustafa Berk; Kim, Min Hyuk; et al, 한국과학기술원, 2022 |
DeepFormableTag: end-to-end generation and recognition of deformable fiducial markers Yaldiz, Mustafa B.; Meuleman, Andreas; Jang, Hyeonjoong; Ha, Hyunho; Kim, Min Hyuk, ACM TRANSACTIONS ON GRAPHICS, v.40, no.4, pp.67, 2021-08 |
| DeepHiR : Improving High-radix Router Throughput with Deep Hybrid Memory Buffer Microarchitecture Li, Cunlu; Dong, Dezun; Lio, Xiangke; Kim, John Dongjun; Kim, Changhyun, The 33rd ACM International Conference on Supercomputing(ICS), pp.403 - 413, Association for Computing Machinery, 2019-06-27 |
| DeepIron: Distortion Correction Techniques for Garment Texture from a Single Image 권현송; 이성희, 한국컴퓨터그래픽스학술대회, pp.54 - 55, 한국컴퓨터그래픽스학회, 2023-07-13 |
| DeepLUCIA: predicting tissue-specific chromatin loops using Deep Learning-based Universal Chromatin Interaction Annotator Yang, Dongchan; Chung, Taesu; Kim, Dongsup, BIOINFORMATICS, v.38, no.14, pp.3501 - 3512, 2022-07 |
| DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates Liu, Minghua; Sung, Minhyuk; Mech, Radomir; Su, Hao, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.12 - 21, IEEE, 2021-06 |
| DeepNeo: a webserver for predicting immunogenic neoantigens Kim, Jeong Yeon; Bang, Hyoeun; Noh, Seung-Jae; Choi, Jung Kyoon, NUCLEIC ACIDS RESEARCH, v.51, no.W1, pp.W134 - W140, 2023-07 |
| DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval Cha, Eunju; Lee, Chanseok; Jang, Mooseok; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.9931 - 9943, 2022-12 |
| DeepPore: Fingerprint Pore Extraction Using Deep Convolutional Neural Networks Jang, Han-Ul; Kim, Dongkyu; Mun, Seung-Min; Choi, Sung-Hee; Lee, Heung-Kyu, IEEE SIGNAL PROCESSING LETTERS, v.24, no.12, pp.1808 - 1812, 2017-12 |
| DeepPower: Fast and scalable energy assessment of mobile sensing applications: Poster abstract Kim, Wonjung; Chang, Youngjae; Song, Junehwa, 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020, pp.673 - 674, Association for Computing Machinery, Inc, 2020-11 |
| DeepPTZ: Deep Self-Calibration for PTZ Cameras Zhang, Chaoning; Rameau, Francois; Kim, Junsik; Argaw, Dawit Mureja; Bazin, Jean-Charles; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, WACV 2020, pp.1030 - 1038, Winter Conference on Applications of Computer Vision, 2020-03 |
| DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning Ryu, DongHun; Ryu, Dongmin; Baek, YoonSeok; Cho, Hyungjoo; Kim, Geon; Kim, Young Seo; Lee, Yongki; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.5, pp.1508 - 1518, 2021-05 |
| DeepSnake: Sequence Learning of Joint Torques Using a Gated Recurrent Neural Network Han, Byungkil; Kim, Seung-Chan; Kwon, Dong-Soo, IEEE ACCESS, v.6, pp.76263 - 76270, 2018-11 |
| DeepTFactor: A deep learning-based tool for the prediction of transcription factors Kim, Gi Bae; Gao, Ye; Palsson, Bernhard O.; Lee, Sang Yup, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.118, no.2, pp.1 - 5, 2021-01 |
| DeepTFactor: a deep learning-based tool for the prediction of transcription factors 김기배; Gao, Ye; Palsson, Bernhard O; 이상엽, 2023 KSBB Fall Meeting and International Symposium, 한국생물공학회, 2023-10-06 |
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