Directions
We are entering a world where anyone can easily create software using AI. AI is widely used in various fields, such as automatic program generation techniques for non-experts, automatic program repair techniques for professional developers, and automatic tutoring techniques for learners.
2020
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Case Study Investigation of the Fault Detection and Error Locating Effects of Architecture-based Software Testing
Lee, Jihyun, Sungwon Kang
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
2020 -
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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Evaluating Surprise Adequacy for Question Answering
Seah Kim, Shin Yoo
42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
2020 -
Online coverage and inspection planning for 3D modeling
Soohwan Song, Daekyum Kim, Sungho Jo
AUTONOMOUS ROBOTS
2020 -
Revisit Prediction by Deep Survival Analysis
Kim, Sundong, Song, H, Sejin Kim, Kim, Beomyoung, Lee Jae-Gil
24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020
2020 -
Single Image Reflection Removal With Physically-Based Training Images
Soomin Kim, Yuchi Hou, Sung-Eui Yoon
Conference on Computer Vision and Pattern Recognition (CVPR)
2020 -
TORM: Fast and Accurate Trajectory Optimization of Redundant Manipulator given an End-Effector Path
Mincheul Kang, Heechan Shin, Donghyuk Kim, Sung-Eui Yoon
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
2020[]
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Unsupervised Learning of Optical Flow with Deep Feature Similarity
Woobin Im, Kim Tae Kyun, Sung-Eui Yoon
European Conference on Computer Vision (ECCV)
2020[]
2019
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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[]
2017
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A System to Analyze Group Socializing Behaviors in Social Parties
Hyukjae Jang, 조성원, Gunkel, SNB, Seungwoo Kang, Junehwa Song
IEEE Transactions on Human-Machine Systems
2017[]
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An incremental nonparametric Bayesian clustering-based traversable region detection method
Honggu Lee, 곽기호, Sungho Jo
AUTONOMOUS ROBOTS
2017[] []
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Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors
Jimin Hwa, Shin Yoo, 서영석, Doo-Hwan Bae
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
2017[]
2016
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Approximate Bayesian MLP Regularization for Regression in the Presence of Noise
Jung Guk Park, Sungho Jo
NEURAL NETWORKS
2016[] []
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Effective multi-objective naive Bayes learning for cross-project defect prediction
Duksan Ryu, Jongmoon BAIK
APPLIED SOFT COMPUTING
2016[]
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PTE: Enumerating Trillion Triangles On Distributed Systems
Ha-Myung Park, 강유, Sung-Hyon Myaeng
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
2016[]
2015
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An Analysis of Problem-Solving Patterns in Open Source Software
Hyung-Min Koo, In-Young Ko
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
2015[]
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Cognitive Resource-Aware Unobtrusive Service Provisioning in Ambient Intelligence Environments
Angel Jimenez-Molina, In-Young Ko
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
2015[]
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Human Resource Allocation in Software Project with Practical Considerations
Jihun Park, Seo Dongwon, Gwangui Hong, Donghwan Shin, Jimin Hwa, Doo-Hwan Bae
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
2015[]
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Multi-Aspect Collaborative Filtering based on Linked Data for Personalized Recommendation
Han-Gyu Ko, JOO SIK SON, In-Young Ko
International World Wide Web Conference(WWW)
2015[]
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