KAIST - COMPUTER SCIENCE

  • korea
  • search
  • login

Directions

 
AI is AI-Information Service 인공지능과 인공지능-정보서비스

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.

  • 2022

  • Bayesian inductive learning in group recommendations for seen and unseen groups

    Kwang Hee Lee, Myoung Ho Kim
    INFORMATION SCIENCES
    2022

    []

  • 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

    []

  • 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

  • 2021

  • 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

  • 2020

  • Deep Physiological Affect Network for the Recognition of Human Emotions

    BYUNG HYUNG KIM, Sungho Jo
    IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
    2020

    []

  • 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

  • 2019

  • 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

    []

  • 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

    []

  • Convolutional neural network based on an extreme learning machine for image classification

    Youngmin Park, Hyun S. Yang
    NEUROCOMPUTING
    2019

1 2 3 4