DSpace at KOASAS: AI-Journal Papers(저널논문)

DSpace at KOASAS

College of Engineering(공과대학)Kim Jaechul Graduate School of AI(김재철AI대학원)

AI-Journal Papers(저널논문)

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Recent Items

1 See, caption, cluster: Large-scale image analysis using captioning and topic modeling

Kang, Kyeongpil; Jin, Kyohoon; Jang, Soojin; Choo, Jaegul; Kim, Youngbin, EXPERT SYSTEMS WITH APPLICATIONS, v.237, 2024-03
2 Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology

Park, Sangjoon; Lee, Eun Sun; Shin, Kyung Sook; Lee, Jeong Eun; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01
3 Learning Whole-body Manipulation for Quadrupedal Robot

Jeon, Seunghun; Jung, Moonkyu; Choi, Suyoung; Kim, Beomjoon; Hwangbo, JE MIN, IEEE ROBOTICS AND AUTOMATION LETTERS, v.9, no.1, pp.699 - 706, 2024-01
4 C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Kim, Boah; Oh, Yujin; Wood, Bradford J.; Summers, Ronald M.; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01
5 AmbiFC: Fact-Checking Ambiguous Claims with Evidence

Glockner, Max; Staliūnaitė, Ieva; Thorne, James; Vallejo, Gisela; Vlachos, Andreas; Gurevych, Iryna, TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, v.12, pp.1 - 18, 2024-01
6 Improving the core resilience of real-world hypergraphs

Do, Manh Tuan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2438 - 2493, 2023-11
7 Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications

Bu, Fanchen; Lee, Geon; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2389 - 2437, 2023-11
8 Datasets, tasks, and training methods for large-scale hypergraph learning

Kim, Sunwoo; Lee, Dongjin; Kim, Yul; Park, Jungho; Hwang, Taeho; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2216 - 2254, 2023-11
9 Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm

Bu, Fanchen; Kang, Shinhwan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2139 - 2191, 2023-11
10 Reciprocity in directed hypergraphs: measures, findings, and generators

Kim, Sunwoo; Choe, Minyoung; Yoo, Jaemin; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2330 - 2388, 2023-11

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 473

1	AmbiFC: Fact-Checking Ambiguous Claims with Evidence Glockner, Max; Staliūnaitė, Ieva; Thorne, James; Vallejo, Gisela; Vlachos, Andreas; Gurevych, Iryna, TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, v.12, pp.1 - 18, 2024-01
2	Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization Kim, Youngsung; Hyun, Yoonsuk; Han, Jae-Joon; Yang, Eunho; Hwang, Sung Ju; Shin, Jinwoo, IEEE ACCESS, v.11, pp.146208 - 146222, 2023
3	Learning Whole-body Manipulation for Quadrupedal Robot Jeon, Seunghun; Jung, Moonkyu; Choi, Suyoung; Kim, Beomjoon; Hwangbo, JE MIN, IEEE ROBOTICS AND AUTOMATION LETTERS, v.9, no.1, pp.699 - 706, 2024-01
4	C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation Kim, Boah; Oh, Yujin; Wood, Bradford J.; Summers, Ronald M.; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01
5	Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology Park, Sangjoon; Lee, Eun Sun; Shin, Kyung Sook; Lee, Jeong Eun; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01
6	분포 강화학습을 위한 위험도 스케줄링 기반의 낙천적 탐색 방법 오지환; 김준기; 윤세영, 정보과학회논문지, v.50, no.2, pp.172 - 178, 2023-02
7	전장 상황을 묘사하는 가설들을 위한 준지도 군집화 알고리즘 조현수; 주현진; 안종철; 진소연; 신유경; 신기정, 데이타베이스연구, v.39, no.1, pp.72 - 84, 2023-04
8	보조인자를 활용한 그래프 신경망 기반의 결측치 복원 방법 연구 김가희; 유나래; 윤세영, 정보과학회 컴퓨팅의 실제 논문지, v.29, no.7, pp.344 - 349, 2023-07
9	Message Passing With Gating Mechanisms in Multi-agent Reinforcement Learning Park, Bumjin; Kang, Cheongwoong; Choi, Jaesik, Journal of Institute of Control, Robotics and Systems, v.29, no.11, pp.847 - 853, 2023-11
10	CoEM: 청각-시각 잠재 표현형을 위한 대조적 임베딩 변환자 이기훈; 이경채; 정민찬; 이명진; 윤세영; 윤찬현, 정보과학회논문지, v.50, no.1, pp.80 - 86, 2023-01
11	Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease Hwang, Hye Jeon; Kim, Hyunjong; Seo, Joon Beom; Ye, Jong Chul; Oh, Gyutaek; Lee, Sang Min; Jang, Ryoungwoo; et al, KOREAN JOURNAL OF RADIOLOGY, v.24, no.8, pp.807 - 820, 2023-08
12	Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility Lee, Hoil; Ayed, Fadhel; Jung, Paul; Lee, Juho; Yang, Hongseok; Caron, Francois, JOURNAL OF MACHINE LEARNING RESEARCH, v.24, pp.1 - 78, 2023-09
13	See, caption, cluster: Large-scale image analysis using captioning and topic modeling Kang, Kyeongpil; Jin, Kyohoon; Jang, Soojin; Choo, Jaegul; Kim, Youngbin, EXPERT SYSTEMS WITH APPLICATIONS, v.237, 2024-03
14	Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm Bu, Fanchen; Kang, Shinhwan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2139 - 2191, 2023-11
15	Datasets, tasks, and training methods for large-scale hypergraph learning Kim, Sunwoo; Lee, Dongjin; Kim, Yul; Park, Jungho; Hwang, Taeho; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2216 - 2254, 2023-11
16	Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications Bu, Fanchen; Lee, Geon; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2389 - 2437, 2023-11
17	Reciprocity in directed hypergraphs: measures, findings, and generators Kim, Sunwoo; Choe, Minyoung; Yoo, Jaemin; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2330 - 2388, 2023-11
18	Improving the core resilience of real-world hypergraphs Do, Manh Tuan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2438 - 2493, 2023-11
19	One-Shot Adaptation of GAN in Just One CLIP Kwon, Gihyun; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.10, pp.12179 - 12191, 2023-10
20	Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation Lee, Minhyun; Lee, Seungho; Lee, Jongwuk; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.10, pp.12341 - 12357, 2023-10

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