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Publication search results
found 70 matches
- 2023
- Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo:
Repairing DNN Architecture: Are We There Yet? CoRR abs/2301.11568 (2023) - Jinhan Kim, Jongchan Park, Shin Yoo:
The Inversive Relationship Between Bugs and Patches: An Empirical Study. CoRR abs/2303.00303 (2023) - 2022
- Jaeyong Choi, Woochan Lee, Jung-Ki Yoon, Sun Mi Choi, Chang-Hoon Lee, Hyeong-Gon Moon
, Sukki Cho, Jin-Haeng Chung, Han-Kwang Yang, Jong-Il Kim:
Expression-based species deconvolution and realignment removes misalignment error in multispecies single-cell data. BMC Bioinform. 23(1): 157 (2022) - Seongpung Lee, Sanghyun Joung, Ho-Gun Ha, Jin-Han Lee, Kyeong-Hyeon Park
, Shinyeol Kim, Kwonsun Nam, Jongsuk Lee, Hyun-Joo Lee, Chang-Wug Oh
, Ilhyung Park, Jaesung Hong
:
3D Image-Guided Robotic System for Bone Fracture Reduction. IEEE Robotics Autom. Lett. 7(2): 4353-4360 (2022) - Jongkuk Ko
, Changhwan Kim
, Dongjin Kim
, Yongkwon Song
, Seokmin Lee
, Bongjun Yeom
, June Huh
, Seungyong Han
, Daeshik Kang
, Je-Sung Koh
, Jinhan Cho
:
High-performance electrified hydrogel actuators based on wrinkled nanomembrane electrodes for untethered insect-scale soft aquabots. Sci. Robotics 7(71) (2022) - Jinhan Kim
, Juyoung Jeon, Shin Hong, Shin Yoo
:
Predictive Mutation Analysis via the Natural Language Channel in Source Code. ACM Trans. Softw. Eng. Methodol. 31(4): 73:1-73:27 (2022) - Juyeon Yoon, Seungjoon Chung, Kihyuck Shin, Jinhan Kim, Shin Hong, Shin Yoo:
Repairing Fragile GUI Test Cases Using Word and Layout Embedding. ICST 2022: 291-301 - 2021
- Jinhan Choi, Changhoon Oh, Bongwon Suh, Nam Wook Kim
:
Toward a Unified Framework for Visualization Design Guidelines. CHI Extended Abstracts 2021: 240:1-240:7 - Jinhan Choi, Changhoon Oh, Bongwon Suh, Nam Wook Kim
:
VisLab: Crowdsourcing Visualization Experiments in the Wild. CHI Extended Abstracts 2021: 369:1-369:7 - Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo:
Ahead of Time Mutation Based Fault Localisation using Statistical Inference. ISSRE 2021: 253-263 - Jinhan Kim, Juyoung Jeon, Shin Hong, Shin Yoo:
Predictive Mutation Analysis via Natural Language Channel in Source Code. CoRR abs/2104.10865 (2021) - 2020
- Changhoon Oh
, Seonghyeon Kim, Jinhan Choi, Jinsu Eun, Soomin Kim, Juho Kim
, Joonhwan Lee, Bongwon Suh:
Understanding How People Reason about Aesthetic Evaluations of Artificial Intelligence. Conference on Designing Interactive Systems 2020: 1169-1181 - Changhoon Oh
, Jinhan Choi, Sungwoo Lee, SoHyun Park, Daeryong Kim, Jungwoo Song, Dongwhan Kim
, Joonhwan Lee, Bongwon Suh:
Understanding User Perception of Automated News Generation System. CHI 2020: 1-13 - Jinhan Kim, Valeriy V. Savchenko, Kihyuck Shin, Konstantin S. Sorokin, Hyunseok Jeon, Georgiy A. Pankratenko, Sergey Markov, Chul-Joo Kim:
Automatic abnormal log detection by analyzing log history for providing debugging insight. ICSE (SEIP) 2020: 71-80 - Hwang Huh, Wanik Cho, Jinhaeng Lee, Yujong Noh, Yongsoon Park, Sunghwa Ok, Jongwoo Kim, Kayoung Cho, Hyunchul Lee, Geonu Kim, Kangwoo Park, Kwanho Kim, Heejoo Lee, Sooyeol Chai, Chankeun Kwon, Hanna Cho, Chanhui Jeong, Yujin Yang, Jayoon Goo, Jangwon Park, Juhyeong Lee, Heonki Kirr, Kangwook Jo, Cheoljoong Park, Hyeonsu Nam, Hyunseok Song, Sangkyu Lee, Woopyo Jeong, Kun-Ok Ahn, Tae-Sung Jung:
13.2 A 1Tb 4b/Cell 96-Stacked-WL 3D NAND Flash Memory with 30MB/s Program Throughput Using Peripheral Circuit Under Memory Cell Array Technique. ISSCC 2020: 220-221 - Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo:
Reducing DNN labelling cost using surprise adequacy: an industrial case study for autonomous driving. ESEC/SIGSOFT FSE 2020: 1466-1476 - Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo:
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving. CoRR abs/2006.00894 (2020) - 2019
- Jinhan Kim, Shin Yoo:
Software review: DEAP (Distributed Evolutionary Algorithm in Python) library. Genet. Program. Evolvable Mach. 20(1): 139-142 (2019) - Jinhan Kim, Robert Feldt, Shin Yoo:
Guiding deep learning system testing using surprise adequacy. ICSE 2019: 1039-1049 - Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo:
Amortising the Cost of Mutation Based Fault Localisation using Statistical Inference. CoRR abs/1902.09729 (2019) - 2018
- Changhoon Oh
, Jungwoo Song, Jinhan Choi, Seonghyeon Kim, Sungwoo Lee, Bongwon Suh:
I Lead, You Help but Only with Enough Details: Understanding User Experience of Co-Creation with Artificial Intelligence. CHI 2018: 649 - Gabin An, Jinhan Kim, Shin Yoo:
Comparing line and AST granularity level for program repair using PyGGI. GI@ICSE 2018: 19-26 - Jungkook Park, Yeong Hoon Park, Jinhan Kim, Jeongmin Cha, Suin Kim, Alice Oh:
Elicast: embedding interactive exercises in instructional programming screencasts. L@S 2018: 58:1-58:10 - Jinhan Kim, Michael G. Epitropakis, Shin Yoo:
Learning Without Peeking: Secure Multi-party Computation Genetic Programming. SSBSE 2018: 246-261 - Jinhan Kim, Robert Feldt, Shin Yoo:
Guiding Deep Learning System Testing using Surprise Adequacy. CoRR abs/1808.08444 (2018) - 2017
- Eunjin Jeong, Namgoo Lee, Jinhan Kim, Duseok Kang, Soonhoi Ha:
FIFA: A Kernel-Level Fault Injection Framework for ARM-Based Embedded Linux System. ICST 2017: 23-34 - Jinhan Kim, Junhwi Kim, Shin Yoo:
GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU. SSBSE 2017: 137-142 - 2016
- Jin-Han Park, Ji Yu Kim, Young Chel Kwun:
Intuitionistic Fuzzy Optimized Weighted Geometric Bonferroni Means and Their Applications in Group Decision Making. Fundam. Informaticae 144(3-4): 363-381 (2016) - Jin-Han Kim, Sung-Hong Kim, Kilsun Kim
:
The role of learning capability in market-oriented firms in the context of open innovation-based technology acquisition: empirical evidence from the Korean manufacturing sector. Int. J. Technol. Manag. 70(2/3): 135-156 (2016) - Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim:
Cost-aware triage ranking algorithms for bug reporting systems. Knowl. Inf. Syst. 48(3): 679-705 (2016)
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