Publications

Publications

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Number of entries: 45 (필터 적용됨)
Machine Learning, Deep Learning
Lee, J., Lee, S. H., Park, S. J., Kim, S. B., Kim, T., Mok, C., Jeong, JY., Seok, H., Ih, K. D. (2023), Wind noise performance prediction based on deep learning approach with vehicle exterior snapshot images. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 266, No. 2, pp. 152-162).
#wind noise #regression #deep learning
Deep Learning, Game
Baek, I., Bae J., Jeong K., Lee Y.J., Jo U., Kim J.H., and Kim, S.B.* (2022), "Self-Supervised Learning for Prediction Invisible Enemy Information in StarCraft II", Proceedings of the 2022 Intelligent Systems Conference, LNNS 542, pp.167-172.
#Game #Deep Learning #Self-supervised Learning
Deep Learning, Quality Analytics/Smart Manufacturing
Lee, J. Y., Mok C., Kim S., Moon S., Kim S. Y., and Kim, S.B.* (2022), "Stochastic Feed-forward Attention Mechanism for Reliable Defect Classification and Interpretation", Proceedings of the 2022 Intelligent Systems Conference, LNNS 542, pp.148-158.
#deep learning #explainable artificial intelligence #smart manufacturing
Deep Learning, Reinforcement Learning, Game
Lee, Y.J., Baek, I., Jo, Uk., Kim, J., Bae, J., Jeong, K., Kim, S.B.* (2022), "Self-Supervised Contrastive Learning for Predicting Game Strategies", Proceedings of the 2022 Intelligent Systems Conference, LNNS 542, pp.136-147.
#contrastive Learning #game #reinforcement learning
Deep Learning, Quality Analytics/Smart Manufacturing
Jo, Y., Jeong K., Ahn S., Koh E., Ko E., and Kim S.B*. (2022) "Data Augmentation Methods for Electric Automobile Noise Design from Multi-Channel Steering Accelerometer Signals", Proceedings of the 2022 Intelligent Systems Conference, LNNS 542, pp. 679-684.
#deep Learning #automobile #product design #noise level prediction
Machine Learning, Deep Learning, Quality Analytics/Smart Manufacturing
Kwak, M., Kim, S.B.*, (2020), "Channel-Wise Reconstruction-Based Anomaly Detection Framework for Multi-Channel Sensor Data", Proceedings of the 2019 Intelligent Systems Conference, AISC 1038, Bi et al, (Eds), pp.1222-1233.
#sensor #anomaly detection #monitoring #fault
Deep Learning, Game
Kahng, H., Kim, S.B.*(2020), "Opponent Modeling Under Partial Observability in StarCraft with Deep Convolutional Encoder-Decoders", Proceedings of the 2019 Intelligent Systems Conference, AISC 1037, Bi et al, (Eds), pp.751-759.
#convolutional neural network #game
Machine Learning, Deep Learning, Quality Analytics/Smart Manufacturing
S.M. Lee, S.H. Park, Y.Y. Sung, S.B. Kim*, (2018), "Incremental Learning for Nonstationary Traffic Control in Automated Vehicle Systems", Proceedings of the 13th Data Mining and Decision Analytics Workshop, INFORMS 2018 Annual Meeting, Phoenix, Arizona, US
#dispatching #logistics #semiconductor
Machine Learning, Natural Language Processing
J.E. Son, S. B. Kim (2016), "Content-based Filtering for Recommendation Using Multi-attribute Network", Proceedings of International Conference on Industrial Engineering, Seoul, South Korea, (October 10-12).
#recommender system #graph #text
Machine Learning, Healthcare/Biomedicine
S.M. Lee, S. B. Kim (2016), "An Inductive Algorithm to Combine Data and Expert Knowledge for Fault Interpretations in Multivariate Monitoring", Proceedings of International Conference on Industrial Engineering, Seoul, South Korea, (October 10-12).
#Bayesian network #graph #fault
Machine Learning, Quality Analytics/Smart Manufacturing
C.H. Park, S. B. Kim (2016), "A performance comparison study of sparse regularization methods of spectroscopic signals of virtual metrology modeling", Proceedings of International Conference on Industrial Engineering, Seoul, South Korea, (October 10-12).
#virtual metrology #semiconductor #regularization #signal
Machine Learning, Quality Analytics/Smart Manufacturing
Y.H. Kim, S. B. Kim (2016), "Minimum Variance Monitoring Statistic and Control Chart", Proceedings of International Conference on Industrial Engineering, Seoul, South Korea, (October 10-12).
#control chart #optimization
Machine Learning, Quality Analytics/Smart Manufacturing
J.S. Park, S. B. Kim (2015), "Prediction of Package Chip Quality using Fail Bit Count Data of the Probe Test," Proceedings of the Current Approaches in Applied Artificial Intelligence, Seoul, South Korea (June 10-12).​​
#semiconductor #wafer #fault
Machine Learning, Natural Language Processing
S.G. Cho, S. B. Kim (2015), "Summarization of Documents by Finding Key Sentences Based on Social Network Analysis," Proceedings of the Current Approaches in Applied Artificial Intelligence, Seoul, South Korea (June 10-12).​
#graph #text
Machine Learning, Quality Analytics/Smart Manufacturing
J.H. Kang, J.H. Yu, S. B. Kim (2014), "Adaptive Control Chart for Time-Varying and Multimode Process Control," Proceedings of the INFORMS Workshop on Data Mining and Analytics, San Francisco, CA (November 7).
#control chart
Machine Learning, Quality Analytics/Smart Manufacturing
C.H. Park, S.B. Kim (2013) Sequential Random k-Nearest Neighbor Ensemble Method for Classification of High-Dimensional Data, Proceeding of the International Symposium on System Informatics and Engineering (ISSIE), Xi'an, China (July 8-9).
#k-Nearest Neighbor #classification
Machine Learning
Y.J. Park, S.B. Kim (2013) Rank Distribution of PCA Coefficients for Feature Selection, Proceeding of the International Symposium on System Informatics and Engineering (ISSIE), Xi'an, China (July 8-9).
#feature selection
Machine Learning
S.H. Park, S.B. Kim (2013) A data-driven approach to evaluate the performance of the stores, Proceeding of the International Symposium on System Informatics and Engineering (ISSIE), Xi'an, China (July 8-9).
Machine Learning
J.H. Yu, S.B. Kim (2013) Improving Prediction of Two-stage EWMA for Nonstationary Time Series Data, Proceeding of the International Symposium on System Informatics and Engineering (ISSIE), Xi'an, China (July 8-9).
#time series #forecasting
Natural Language Processing
S.G. Cho, S.B. Kim (2012) Identification of Research Patterns and Trends through Text Mining, Proceeding of the International Conference on Knowledge Discovery (IJIET), Bali, Indonesia (May 26-27).
#text
Natural Language Processing
J.H. Kang, S.B. Kim (2012) A Text Mining Approach to Find Patterns Associated with Diseases and Herbal Materials in Oriental Medicine, Proceeding of the International Conference on Knowledge Discovery (IJIET), Bali, Indonesia (May 26-27).
#oriental medicine #association rule #graph #text
Machine Learning, Healthcare/Biomedicine
K.J. LEE, S.B. Kim (2011) Daily, Seasonal, and Spatial Patterns of PM10 in Seoul, Korea, Proceeding of the International Symposium on System Informatics and Engineering (ISSIE), Qingdao, China (July 11-13).
#pollution #clustering #spatiotemporal #PM10
Machine Learning, Quality Analytics/Smart Manufacturing
Tuerhong, G., S.B. Kim (2011) A Nonparametric Fault Isolation Approach through Hybrid Novelty Score, Proceeding of the International Symposium on System Informatics and Engineering (ISSIE), Qingdao, China (July 11-13).
#fault #novelty #control chart
Machine Learning, Quality Analytics/Smart Manufacturing
J.H. Kang, S.B. Kim (2011) Clustering Algorithm-based Control Chart, Proceeding of the International Symposium on System Informatics and Engineering (ISSIE), Qingdao, China (July 11-13).
#control chart #clustering
Machine Learning, Healthcare/Biomedicine
Han, S.W, K.-L. Tsui, S.B. Kim (2010) Spatiotemporal Biosurvelliance Under Nonhomogeneous Population, Joint Statistical Meeting (JSM), Vancouver, Canada (July 31- August 5).
#surveillance
Machine Learning, Healthcare/Biomedicine
Fan, G., Z. Wang, S.B. Kim, C. Temiyasathit (2010) Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest, Proceedings of the International Conference on Image and Signal Processing (ICISP), Quebec, Canada (June 30 - July 2).
#wavelet #feature selection #signal #spectra #bioinformatics
Machine Learning, Reinforcement Learning
Ariyajunya, B., V.C.P. Chen, S.B. Kim (2010) Orthogonalized Dynamic Programming State Space for Efficient Value Function Approximation, Proceedings of the Industrial Engineering Research Conference, Cancun, Mexico (June 5-9).
#optimization #dynamic programming
Machine Learning, Healthcare/Biomedicine
Han, S.W., K.-L. Tsui, B. Ariyajunya, S.B. Kim (2009) A Comparison of CUSUM, EWMA, and Temporal Scan Statistics for Detection of Increases in Poisson Rate, Proceedings of the INFORMS Workshop on Artificial Intelligence and Data Mining, San Diego, CA.
#spatiotemporal #surveillance
Machine Learning, Healthcare/Biomedicine
P. Rattakorn, Y. Peng, S.B. Kim (2009). "Novel Clustering Strategy of Neuronal Response Profiles in Graded Thermal Stimulation." Proceedings of the Industrial Engineering Research Conference, Miami, FL.
#clustering #signal
Machine Learning, Healthcare/Biomedicine
S. B. Kim, Temiyasathit, C, A.V. Mathker, H. Liu, K. Bansalah, A. Tuncel, J. Cadeddu, W. Kabbani (2008), "Classification Tool For Prostate Cancer Detection in Near Infrared Spectra," Proceedings of the INFORMS Workshop on Data Mining and Health Informatics, Washington D.C.
#NIR #bioinformatics
Machine Learning, Healthcare/Biomedicine
P. Rattakorn, Y. Peng, S.B. Kim (2008). "Clustering of Neuronal Response Profiles in Graded Thermal Stimulation." Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.
#clustering #bioinformatics
Machine Learning, Quality Analytics/Smart Manufacturing
T. Sukchotrat, S. B. Kim, V. C.P. Chen, C. Carter, W. Dockrey, and R. Tapia (2008). "An Application of Classification-Based Control Charts on a Power Plant Data." Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.
#control chart #energy
Machine Learning, Quality Analytics/Smart Manufacturing
T. Sukchotrat and S.B. Kim (2008). "One-Class Classification Techniques for Improving Phase I Analysis in Statistical Process Control." Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.
#one-class classification #control chart
Machine Learning
H. Bae, S. B. Kim, W. Hur (2008). "A New Framework for Business Process Knowledge Discovery." Proceedings of the Industrial Engineering Research Conference, Vancouver, Canada.
Machine Learning, Healthcare/Biomedicine
P. Rattakorn, C.E. Hagains, T. Ativanichayaphong, V.C. Chen, Y.B. Peng, S.B. Kim, J.M. Rosenberger and J.C. Chiao (2007), Statistical Data Mining of Wireless Neurostimulation System for Pain Reduction, Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Seattle , WA.
#bioinformatics #spectra
Machine Learning, Healthcare/Biomedicine
Y. Mei, S.B. Kim, and K.-L. Tsui (2007), Identification of Major Metabolite Features in High-Resolution NMR Spectra, Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Seattle, WA.
#bioinformatics #NMR #spectra
Machine Learning, Healthcare/Biomedicine
S.B. Kim, J. Rosenberger, V.C.P. Chen, H. Fan, T. Shih (2007), "Statistical Mining the Environmental Impact of Airport Deicing Activities." Proceedings of the Industrial Engineering Research Conference, Nashville, TN.
#airport #environment
Machine Learning, Healthcare/Biomedicine
C. Temiyasathit, S. Neelesh, and S.B. Kim (2007). "Statistical Modeling for the Prediction of Ozone Concentrations in the Dallas-Forth Worth Area," Proceedings of the Industrial Engineering Research Conference, Nashville, TN.
#pollution #clustering #spatiotemporal #ozone #environment
Machine Learning, Quality Analytics/Smart Manufacturing
C.W. Kang, S. Thuntee, and S.B. Kim (2007). "A Data Mining Approach to Improve Phase I Process Control," Proceedings of the Industrial Engineering Research Conference, Nashville, TN.
#control chart
Machine Learning, Healthcare/Biomedicine
Z. Wang and S.B. Kim (2006), Automatic Alignment of High-Resolution NMR Spectra Using a Bayesian Estimation Approach, IEEE International Conference of Pattern Recognition, Vol. 4, pp. 667-670.
#Bayesian #alignment #signal #NMR
Machine Learning, Healthcare/Biomedicine
S. B. Kim, Z. Wang, and C. M. Duran (2006). "A Bayesian Approach for the Alignment of High-Resolution NMR spectra." Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Pittsburgh, PA.
#Bayesian #alignment #signal #NMR
Machine Learning
Shih, D. T., V. L. Pilla, S. B. Kim, J. M. Rosenberger and V. C. P. Chen (2006). "Efficient Computer Experiment Based Optimization through Variable Selection." Proceedings of the INFORMS Artificial Intelligence and Data Mining Workshop, Pittsburgh, PA.
#computer experiment #optimization #feature selection
Machine Learning, Healthcare/Biomedicine
D. Sundaramoorthi, V.C.P. Chen, S.B. Kim, J.M. Rosenberger, D.F. Buckley-Behan, (2006),"A Data-Integrated Nurse Activity Simulation Model," Proceedings of the 2006 Winter Simulation Conference, Monterey, CA, 2006.
#simulation #nurse #scheduling
Machine Learning, Healthcare/Biomedicine
D. Sundaramoorthi, V.C.P. Chen, J.M. Rosenberger, S.B. Kim, D.F. Buckley-Behan (2006), "Using Classification and Regression Trees for a Nurse Activity Simulation," Proceedings of the Industrial Engineering Research Conference, Orlando, FL.
#simulation #nurse #scheduling
Machine Learning
T.D. Shih, V.C.P. Chen, S.B. Kim (2006), "Convex Version of Multivariate Adaptive Regression Splines for Optimization." Proceedings of the Industrial Engineering Research Conference, Orlando, FL, 2006.
#MARS #optimization