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| Attention deficit hyperactivity symptoms and Internet addiction Yoo, Hee Jeong; Cho, Soo Churl; Ha, Jihyun; Yune, Sook Kyung; Kim, Seog Ju; Hwang, Jaeuk; Chung, Ain; et al, PSYCHIATRY AND CLINICAL NEUROSCIENCES, v.58, no.5, pp.487 - 494, 2004-10 |
| Attention fusion network with self-supervised learning for staging of osteonecrosis of the femoral head (ONFH) using multiple MR protocols Kim, Bomin; Lee, Geun Young; Park, Sung-Hong, MEDICAL PHYSICS, v.50, no.9, pp.5528 - 5540, 2023-09 |
| Attention guidance technique using visual subliminal cues and its application on video environments = 시각적 역하 단서를 활용한 주의 유도 및 영상 환경 내 적용 방법론link Hwang, Eugene; Lee, Jeongmi; et al, 한국과학기술원, 2021 |
| Attention Guidance Technique Using Visual Subliminal Cues And Its Application On Videos Hwang, Eugene; Lee, Jeongmi, ACM International Conference On Interactive Media Experiences (IMX ’21), ACM, 2021-06-23 |
| Attention in deep neural networks for object recognition = 객체 인식을 위한 깊은 인공 신경망에서의 주의집중 매커니즘link Woo, Sanghyun; Kweon, In So; et al, 한국과학기술원, 2019 |
| Attention Masking for Improved Near Out-of-Distribution Image Detection Sim, Minho; Lee, Jongwhoa; Choi, Ho-Jin, 2023 IEEE International Conference on Big Data and Smart Computing, BigComp 2023, pp.195 - 202, Institute of Electrical and Electronics Engineers Inc., 2023-02-15 |
| Attention model of between and during tasks based on wearable activity tracking = 착용형 디바이스의 활동 추적을 통한 사용자의 작업 중과 사이의 주의 정량화 방법link Lee, Ju Young; Lee, Ji Hyun; 이지현; Woo, Woon Tack; et al, 한국과학기술원, 2017 |
| Attention Model-Based Visual Comfort Assessment for Stereoscopic Depth Perception Ro, YongMan; Park, HW; Lee, Seong Il; Jung, YJ; Sohn, H, 2011 IEEE International Conference on Digital Signal Processing (DSP 2011), IEEE, 2011-07-06 |
| Attention modules for feed-forward neural networks = 피드포워드 인공신경망을 위한 주의집중 모듈link Park, Jongchan; Kweon, In So; et al, 한국과학기술원, 2018 |
| Attention to Banner Ads and Their Effectiveness: An Eye-Tracking Approach Lee, Joo-Won; Ahn, Jae-Hyeon, INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, v.17, no.1, pp.119 - 137, 2012 |
| Attention to effects of different cross-cultural levels in user research method's interface: Discipline or nationality - Which has stronger force? Tran, T.T.; Lee, Kun-Pyo, 3rd International Conference on Internationalization, Design and Global Development, IDGD 2009. Held as Part of HCI International 2009, pp.127 - 134, IDGD, 2009-07-19 |
| Attention to the COVID-19 Pandemic on Twitter: Partisan Differences Among US State Legislators Kim, Taegyoon; Nakka, Nitheesha; Gopal, Ishita; Desmarais, Bruce A.; Mancinelli, Abigail; Harden, Jeffrey J.; Ko, Hyein; et al, LEGISLATIVE STUDIES QUARTERLY, v.47, no.4, pp.1023 - 1041, 2022-11 |
| Attention 기반 end-to-end 음성인식 개선을 위한 시각화 분석 = Visual analysis for attention-based end-to-end speech recognition improvementlink 임성민; 김회린; et al, 한국과학기술원, 2019 |
| Attention-Augmented Electromagnetic Representation of Sign Language for Human-Computer Interaction in Deaf-and-Mute Community Lan, Shengchang; Ye, Linting; Zhang, Kang, 2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021, pp.47 - 48, Institute of Electrical and Electronics Engineers Inc., 2021-12 |
| Attention-based automatic editing of virtual lectures for reduced production labor and effective learning experience Hwang, Eugene; Lee, Jeongmi, INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, v.181, 2024-01 |
| Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting Yoo, Jaemin; Kang, U, SIAM International Conference on Data Mining, pp.531 - 539, Society for Industrial and Applied Mathematics, 2021-04-30 |
| Attention-based deep learning framework for semantic segmentation of 3D point clouds for autonomous driving = 자율주행을 위한 3차원 포인트 클라우드의 의미론적 분할을 위한 주의 기반 딥러닝 프레임워크link Abid, Furqan; 아비드풀칸; et al, 한국과학기술원, 2023 |
| Attention-based dropout layer for weakly supervised object localization Choe, Junsuk; Shim, Hyunjung, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.2214 - 2223, IEEE Computer Society, 2019-06 |
| Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation Choe, Junsuk; Lee, Seungho; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.12, pp.4256 - 4271, 2021-12 |
| Attention-based image classification using semantic segmentation and convolutional neural network = 시멘틱 세그먼테이션과 컨볼루션 신경망을 이용한 주의 집중 기반의 이미지 분류link Chung, Heewon; Choi, Sunghee; et al, 한국과학기술원, 2017 |
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