Browse "School of Computing(전산학부)" by Title
Showing results 3361 to 3380 of 16012
| Continuous verification of system of systems with collaborative MAPE-K pattern and probability model slicing Song, Jiyoung; Kang, Jeehoon; Hyun, Sangwon; Jee, Eunkyoung; Bae, Doo-Hwan, INFORMATION AND SOFTWARE TECHNOLOGY, v.147, 2022-07 |
| Continuous verification with acknowledged MAPE-K pattern and time logic-based slicing: A platooning system of systems case study Song, Jiyoung; Bae, Doo-Hwan, JOURNAL OF SYSTEMS AND SOFTWARE, v.206, 2023-12 |
| Continuously reasoning about programs using differential Bayesian inference Heo, Kihong; Raghothaman, Mukund; Si, Xujie; Naik, Mayur, 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019, pp.561 - 575, Association for Computing Machinery, 2019-06-22 |
| Contour-Aware Equipotential Learning for Semantic Segmentation Yin, XU; Min, Dongbo; Huo, Yuchi; Yoon, Sung-eui, IEEE TRANSACTIONS ON MULTIMEDIA, v.25, pp.6146 - 6156, 2022-09 |
| Contrasting Opposing Views of News Articles on Contentious Issues Park, Souneil; Lee, Kyung Soon; Song, Junehwa, The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.340 - 349, 2011-06-19 |
| Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images Park, Hangil; Lee, Jihyun; Seo, Yongmin; Min, Taewon; Yun, Judong; Kim, Jaehwan; Kim, Tae-Kyun, 18th International Conference on Machine Vision and Applications, MVA 2023, Institute of Electrical and Electronics Engineers Inc., 2023-07-24 |
| Contrastive learning for Hate speech detection 정찬이; 송현호; 진효진; 신민기; 차미영, 2022 한국컴퓨터종합학술대회 (KCC2022), 한국정보과학회, 2022-07-01 |
| Contrastive learning for knowledge distillation-based anomaly detection = 지식 증류 기반 이상 탐지를 위한 대조 학습link Park, Hangil; Kim, Taekyun; et al, 한국과학기술원, 2023 |
| Contrastive Representations Pre-Training for Enhanced Discharge Summary BERT Won, DaeYeon; Lee, Young-Jun; Choi, Ho-Jin; Jung, YuChae, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), pp.507 - 508, IEEE, 2021-08 |
| Contrastive self-supervised representation learning framework for metal surface defect detection Zabin, Mahe; Kabir, Anika Nahian Binte; Kabir, Muhammad Khubayeeb; Choi, Ho-Jin; Uddin, Jia, JOURNAL OF BIG DATA, v.10, no.1, 2023-09 |
| Control Flow Error Protection by Selective Re-execution and Available Redundancies in the Pipeline Rouf M.A.; Kim, Soontae, International Exposition Yeosu Korea, International Conference on Information Technology (YSEC 2012), 한국정보처리학회, 2012-04-27 |
| Control flow graph상의 USE 집합을 중심으로 하여 live variable analysis를 수행하는 비반복적 알고리즘 = A non-iterative algorithm for live variable analysis based on use set of control flow graphlink 윤정한; Yun, Jeong-Han; et al, 한국과학기술원, 2003 |
| Control integrated query processing system for coordination of multiple UAVs Shim, Sangwoo; Kim, Taehun; Hyun, Soon-Joo, 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017, pp.528 - 533, Institute of Electrical and Electronics Engineers Inc., 2017-01 |
| Controlled composition and abstraction for bottom-up integration and verification of abstract components Choi, Y; Kim, Moonzoo, INFORMATION AND SOFTWARE TECHNOLOGY, v.54, no.1, pp.119 - 136, 2012-01 |
| Controlled Decomposition Strategy for Complex Spatial Objects Lee, YJ; Lee, DM; Ryu, J; Chung, Chin-Wan, 7th Int. Conf. on Database and Expert Systems Applications, pp.207 - 223, Springer Verlag (Germany), 1996-09 |
| Controlled dropout : a dropout method for improving training speed on deep neural network = 제어된 드롭아웃 : 심층 신경망에서 학습 속도 향상을 위한 드롭아웃 방법link Ko, ByungSoo; Choi, Ho-Jin; et al, 한국과학기술원, 2018 |
| Controlled Dropout for Improvement of Speed and Memory Efficiency in Deep Neural Network Byung-Su Ko; Han-Gyu Kim; Oh, Kyo-Joong; Choi, Ho-Jin, The 4th IEEE International Conference on Big Data and Smart Computing (BigComp2017), Korean Institute of Information Scientists and Engineers, 2017-02-15 |
| Controlled dropout: A different approach to using dropout on deep neural network Ko, Byungsoo; Kim, Hangyu; Oh, Kyo-Joong; Choi, Ho-Jin, 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, pp.358 - 362, Institute of Electrical and Electronics Engineers Inc., 2017-02 |
| Controlled Dropout: a Different Dropout for Improving Training Speed on Deep Neural Network Ko, ByungSoo; Kim, Hangyu; Choi, Ho-Jin, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.972 - 977, IEEE, 2017-10-06 |
| Controlling inferences by character modeling in story understanding = 스토리 이해에서 인물모델링을 이용한 추론제어link Lee, Joong-Moo; 이중무; et al, 한국과학기술원, 1986 |
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