Directions
AI 기술은 일상생활에서의 크고 작은 혁신을 만들어나가고 있다. 현재의 AI 기술은 기계학습, 데이터 마이닝, 빅데이터 분석 등의 다양한 기반 기술을 기반으로 이루어졌으며, 정보 검색, 추천 시스템, 자연어 처리, 컴퓨터 비전, 로보틱스 등의 다양한 애플리케이션을 통해 실생활에서 활용되고 있다.
Bayesian inductive learning in group recommendations for seen and unseen groups
Kwang Hee Lee, Myoung Ho Kim
INFORMATION SCIENCES
2022
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Maximization and Restoration: Action Segmentation through Dilation Passing and Temporal Reconstruction
Junyong Park, Daekyum Kim, Sejoon Huh, Sungho Jo
PATTERN RECOGNITION
2022
Semantic Grasping via a Knowledge Graph of Robotic Manipulation: A Graph Representation Learning Approach
Ji Ho Kwak, Jaejun Lee, Whang Joyce Jiyoung, Sungho Jo
IEEE ROBOTICS AND AUTOMATION LETTERS
2022
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Separation-free bacterial identification in arbitrary media via deep neural network-based SERS analysis
Eojin Rho, Kim, Minjoon, Cho, Seunghee, Choi Bongjae, Park, Hyungjoon, Jang, Hanhwo, Jung, Yeon Sik, Sungho Jo
BIOSENSORS & BIOELECTRONICS
2022
고차 그래프 뉴럴 네트워크를 활용한 이질형 그래프에서의 링크 예측
안성진, 김명호
정보과학회 컴퓨팅의 실제 논문지
2022
노드와 링크간의 상호작용을 동시에 반영한 그래프 어텐션 네트워크 기반 지식 그래프 임베딩
김준선, 김명호
정보과학회 논문지
2022
A survey on deep learning-based Monte Carlo denoising
Huo, Yuchi, Sung-Eui Yoon
COMPUTATIONAL VISUAL MEDIA
2021
Combined center dispersion loss function for deep facial expression recognition
ABHILASHA NANDA, Woobin Im, Key-Sun CHOI, Hyun S. Yang
PATTERN RECOGNITION LETTERS
2021
DGC: Dynamic Group Behavior Modeling that utilizes Context Information for Group Recommendation
Hyunji Jeong, Kwang Hee Lee, Myoung Ho Kim
KNOWLEDGE-BASED SYSTEMS
2021
I/O Efficient Structural Clustering and Maintenance of Clusters for Large-scale Graphs
Junghyuk Seo, Myoung Ho Kim
EXPERT SYSTEMS WITH APPLICATIONS
2021
Instant Panoramic Texture Mapping with Semantic Object Matching for Large-Scale Urban Scene Reproduction
Park, J, Jeon, Ik-Beom, Sung-Eui Yoon, Woo, W
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
2021
Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction
Cho, In-Young, Huo, Yuchi, Sung-Eui Yoon
ACM TRANSACTIONS ON GRAPHICS
2021
Deep Physiological Affect Network for the Recognition of Human Emotions
BYUNG HYUNG KIM, Sungho Jo
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
2020
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Online coverage and inspection planning for 3D modeling
Soohwan Song, Daekyum Kim, Sungho Jo
AUTONOMOUS ROBOTS
2020
Simultaneous planning of sampling and optimization: study on lazy evaluation and configuration free space approximation for optimal motion planning algorithm
Donghyuk Kim, Sung-Eui Yoon
AUTONOMOUS ROBOTS
2020
Utilizing adjacency of colleagues and type correlations for enhanced link prediction
Hyunji Jeong, Myoung Ho Kim
DATA & KNOWLEDGE ENGINEERING
2020
Bayesian Optimistic Kullback-Leibler Exploration
Kang Hoon Lee, Geonhyeong Kim, Ortega, Pedro, Lee, Daniel D., Kee-Eung Kim
MACHINE LEARNING
2019
Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks
Jung Guk Park, Sungho Jo
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2019
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Bayesian Weight Decay on Bounded Approximation for Learning Deep Convolutional Neural Networks
Jung Guk Park, Sungho Jo
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2019
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Convolutional neural network based on an extreme learning machine for image classification
Youngmin Park, Hyun S. Yang
NEUROCOMPUTING
2019