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| 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 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 |
| Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction Choi, Seongjin; Kim, Jiwon; Yeo, Hwasoo, The 10th International Conference on Ambient Systems, Networks and Technologies, pp.327 - 334, Acadia University, 2019-05-01 |
| Attention-CNN을 이용한 유도탄 비행데이터의 이상성 검출 기법 연구 Park, Jong-Chan; Jung, Ki-Wook; Kim, Young-Won; Lee, Chang-Hun, 제어.로봇.시스템학회논문지, v.28, no.5, pp.520 - 527, 2022-05 |
| Attentional bias induced by viewing actual or illusory movements Jeong, Yong; Lee, BH; Ahn, HJ; Park, KC; Heilman, KM; Na, DL, NEUROLOGY, v.62, pp.1333 - 1337, 2004-04 |
| Attentional control methods for time-series data classification and synthesis = 시계열 데이터 분류와 합성을 위한 주의집중조절 방법link Park, Jungbae; Lee, Sang Wan; et al, 한국과학기술원, 2019 |
| Attentional Modulation using fMRI Neurofeedback: Preliminary Experience Yoo, S-S; Song, M-S; Yoon, H-W; Chen, N-K; Fairneny, T.; Panych, L.P.; Jolesz, F.A.; et al, International Society for Magnetic Resonance in Medicine, pp.1047 - 1047, International Society for Magnetic Resonance in Medicine(ISMRM), 2004-05 |
| Attentional Resources Effectiveness Measures during Complex Diagnostic Tasks in Nuclear Power Plants Ha, JS; Seong, Poong-Hyun, ISSNP 2007, 2007-07-23 |
| Attentional-Resource Effectiveness Measures in Monitoring and Detection Tasks in Nuclear Power Plants Ha, Jun Su; Seong, Poong-Hyun, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, v.40, no.5, pp.993 - 1008, 2010-09 |
| AttentionNet: AggregatingWeak Directions for Accurate Object Detection Yoo, Donggeun; Park, Sunggyun; Lee, Joon Young; Paek, Anthony S; Kweon, In So, IEEE International Conference on Computer Vision (ICCV 2015), IEEE Computer Society and the Computer Vision Foundation (CVF), 2015-12-15 |
| Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation Lee, Seokju; Rameau, Francois; Pan, Fei; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.4842 - 4851, IEEE Computer Society, 2021-10-17 |
| Attentive Layer Separation for Object Classification and Object Localization in Object Detection Kim, Jung Uk; Ro, Yong Man, 26th IEEE International Conference on Image Processing, ICIP 2019, pp.3995 - 3999, IEEE Signal Processing Society, 2019-09-25 |
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