논문 - 공과대학 산업공학과 조성준 명예교수

논문

논문 2

논문 2 저자

논문 2 출간연도

논문 2 저널 정보

논문 1

논문 1 저자

논문 1 출간연도

논문 1 저널 정보

2026

Kim, J., Cho, S., Predicting the Difference between Rate of Intended Exertion and Rate of Perceived Exertion with Transformer Using Athlete Self-Report Measures, Engineering Applications of Artificial Intelligence, Vol. 164(B), 113316, 2026.
Kim, S., Jung, J., You, T., Cho, S., Fusing Sequential Recommender and Ad-hoc Planner for Multi-faceted Preference Understanding in Conversational Recommendation, Information Fusion, Vol. 127(A), 103735, 2026.
Kim, S., Ha, J., Lee, H., Park, S., Cho, S., Human-Guided Collective LLM Intelligence for Strategic Planning via Two-Stage Information Retrieval, Information Processing & Management, Vol. 63(1), 104288, 2026.
Lee, S., Cho, S., LLM 기반 요약 유용도 예측을 활용한 다중 세션 대화 시스템 메모리 관리 효율화, 산업공학회지, 게재확정, 2026.
Kang, Y., Lee, S., Im, K., Cho, S., Harmony Routing with Traffic Impact Prediction Based on Graph Neural Network for Large-Scale Semiconductor Fabrication, Engineering Applications of Artificial Intelligence, to appear, 2026.

2025

Kim, E., Kim, S., Jung, C., Hahm, Y., Cho, S., Fashion Image Retrieval With Vision–Language Model Guided Fine-Grained Textual Attributes and Cross-Domain Contrastive Optimization, IEEE Access, Vol. 13, 192403–192415, 2025.
Kim, H., Cho, S., Sentiment lexicon integrated meta-training for sentiment analysis in data-scarce settings, Journal of Intelligent Information Systems, 2025.
Lee, J., Cho, S., Forecasting Building Operation Dynamics Using a Physics-Informed Spatio-Temporal Graph Neural Network Ensemble, Energy & Buildings, 115085, 2025.

2024

Park, J., Lee, H. J., Cho, S., Automatic Construction of Direction-aware Sentiment Lexicon Using Direction-dependent Words, Language Resources and Evaluation, 2024.
Choi, M., Lee, H. J., Park, S. H., Jeon, S. W., Cho, S., Stock price momentum modeling using social media data, Expert Systems with Applications, Vol. 237, 121589, 2024.
Jeon, S. W., Lee, H. J., Park, J., Cho, S., Building Knowledge Graphs from Technical Documents Using Named Entity Recognition and Edge Weight Updating Neural Network with Triplet Loss, Intelligent Data Analysis, Vol. 28(1), 331–355, 2024.

2023

Park, J., Cho, S., Incorporation of Company-Related Factual Knowledge into Pre-trained Language Models for Stock-Related Spam Tweet Filtering, Expert Systems with Applications, Vol. 234, 121021, 2023.
Shin, H., Lee, H. J., Cho, S., General-Use Unsupervised Keyword Extraction Model for Keyword Analysis, Expert Systems with Applications, Vol. 233, 120889, 2023.
Park, J., Lee, H. J., Cho, S., Hot Topic Detection in Central Bankers’ Speeches, Expert Systems with Applications, Vol. 230, 120563, 2023.
Kim, E., An, J., Cho, H.-C., Cho, S., Lee, B., A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing, Data Technologies and Applications, Vol. 57(3), 397–417, 2023.
Kim, M., Cho, S., Monetary Policy Document Analysis for Predicting Monetary Policy Board Decision, Heliyon, Vol. 9(10), e20696, 2023.

2022

Jeon, S. H., Cho, S., Edge Weight Updating Neural Network for Named Entity Normalization, Neural Processing Letters, 2022.
An, J., Cho, S., Bang, J., Kim, M., Domain-slot Relationship Modeling using a Pre-trained Language Encoder for Multi-Domain Dialogue State Tracking, IEEE Transactions on Audio, Speech and Language Processing, Vol. 30, 2091–2102, 2022.

2021

Shin, H., Lee, J., An, Y., Cho, S., A scoring model to detect abusive medical institutions, Journal of Biomedical Informatics, Vol. 117, 103752, 2021.
Lee, J., Cho, S., Abuse detection in healthcare insurance with disease-treatment network embedding, Journal of Biomedical Informatics, Vol. 123, 103936, 2021.
Shim, J., Cho, S., Kum, E., Jeong, S., Adaptive fault detection framework for recipe transition, Computers & Industrial Engineering, Vol. 161, 107632, 2021.
Kim, E., Cho, S., Exposing Fake Faces Through Deep Neural Networks, IEEE Access, Vol. 9, 123493–123503, 2021.
An, Y., An, J., Cho, S., Artificial Intelligence Based Prediction of Movie Audience, International Journal of Forecasting, Vol. 37(1), 274–288, 2021.
Lee, Y., Cho, S., User segmentation via interpretable user representation, Multimedia Systems, Vol. 27(1), 61–72, 2021.
Shim, J., Kang, S., Cho, S., Active inspection for cost-effective fault prediction, Journal of Process Control, Vol. 105, 250–258, 2021.
Shim, J., Kang, S., Cho, S., Active cluster annotation for wafer map pattern classification, Expert Systems with Applications, Vol. 183, 115429, 2021.

2020

An, J., Cho, S., Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning, IEEE Access, Vol. 8, 200229–200236, 2020.
Ko, T., Rhiu, I., Yun, M. H., Cho, S., A Novel Framework for Identifying Customer Needs, Applied Sciences, Vol. 10, 8473, 2020.
Lee, Y., Cho, S., Abnormal usage sequence detection, International Journal of Human–Computer Interaction, Vol. 36(7), 631–640, 2020.
Kim, H., Kim, H., Cho, S., Improving spherical k-means for document clustering, Expert Systems with Applications, Vol. 150, 113288, 2020.
Lee, J., Cho, S., Active Learning of CNN for wafer map classification, IEEE Transactions on Semiconductor Manufacturing, Vol. 33(2), 258–266, 2020.
Lee, Y., Cho, S., Extraction and prioritization of product attributes, Pattern Analysis and Applications, Vol. 23(4), 1767–1777, 2020.
Kang, S., Kim, D., Cho, S., Expected margin-based pattern selection, Expert Systems with Applications, Vol. 139, 112865, 2020.

2019

Lee, Y., Cho, S., Choi, J., Determining user needs through abnormality detection, Electronic Commerce Research, 2019.
Lee, Y., Cho, S., Choi, J., Smartphone help contents re-organization, International Journal of Human–Computer Studies, Vol. 129, 108–115, 2019.
Lee, Y., Cho, S., Choi, J., App usage prediction for dual display device, Pervasive and Mobile Computing, Vol. 58, 101025, 2019.
Kim, E., Cho, S., Fault Detection and Diagnosis Using Self-Attentive CNNs, IEEE Transactions on Semiconductor Manufacturing, Vol. 32(3), 302–309, 2019.
Lee, Y., Cho, S., Extraction of Product Evaluation factors, Neural Processing Letters, Vol. 50(1), 149–164, 2019.
Kim, E., Lee, J., Cho, S., Champion-challenger analysis for credit card fraud detection, Expert Systems with Applications, Vol. 128, 214–224, 2019.
Kang, S., Kim, D., Cho, S., Approximate training of one-class SVMs, Computers & Industrial Engineering, Vol. 130, 772–778, 2019.
Kim, H., Kim, H., Cho, S., Representation learning for heterogeneous multivariate time series, Computers & Industrial Engineering, Vol. 130, 272–281, 2019.
Park, E., Kang, P., Cho, S., Supervised paragraph vectors, IEEE Access, Vol. 7, 29051–29064, 2019.

2018

Kim, M., Park, E. L., Cho, S., Stock Price Prediction through Sentiment Analysis, Intelligent Data Analysis, Vol. 22(6), 1395–1413, 2018.
Lee, Y., Im, J., Cho, S., Applying convolution filter to matrix of word clustering, Neurocomputing, Vol. 315, 210–220, 2018.
Yang, J., Kim, E., Hur, M., Cho, S., Knowledge Extraction and Visualization of Digital Design Process, Expert Systems with Applications, Vol. 92, 206–215, 2018.
Kang, S., Kim, E., Shim, J., Cho, S., Product failure prediction with missing data, International Journal of Production Research, Vol. 56(14), 4849–4859, 2018.
Lee, Y., Cho, S., De-noising documents with novelty detection, Intelligent Data Analysis, Vol. 22(4), 717–733, 2018.
Lee, Y., Park, I., Cho, S., Smartphone user segmentation, Telematics and Informatics, Vol. 35(2), 329–339, 2018

2017

Yang, J., Lee, S., Kang, S., Cho, S., Ranking Process Parameter Association, Computers & Industrial Engineering, Vol. 113, 419–424, 2017.
Ko, T., Lee, J., Cho, S., Machine learning-based anomaly detection, Industrial Management & Data Systems, Vol. 117(5), 927–945, 2017.
Kim, H., Kim, H., Cho, S., Bag-of-Concepts, Neurocomputing, Vol. 266, 336–352, 2017.
Kang, S., Cho, S., Reliable prediction of anti-diabetic drug failure, Pattern Analysis and Applications, Vol. 20(3), 883–891, 2017.
Kang, S., Kim, E., Shim, J., Cho, S., Mining the relationship between production and customer service data, Computers & Industrial Engineering, Vol. 106, 137–146, 2017.
Kim, M., Kang, S., Cho, S., Virtual Metrology for Copper-Clad Laminate Manufacturing, Computers & Industrial Engineering, Vol. 109, 280–287, 2017.
Yang, J., Lee, S., Kang, S., Cho, S., Ranking Process Parameter Association, Computers & Industrial Engineering, Vol. 113, 419–424, 2017.
Ko, T., Lee, J., Cho, S., Machine learning-based anomaly detection, Industrial Management & Data Systems, Vol. 117(5), 927–945, 2017.
Kim, H., Kim, H., Cho, S., Bag-of-Concepts, Neurocomputing, Vol. 266, 336–352, 2017.
Kang, S., Cho, S., Reliable prediction of anti-diabetic drug failure, Pattern Analysis and Applications, Vol. 20(3), 883–891, 2017.
Kang, S., Kim, E., Shim, J., Cho, S., Mining the relationship between production and customer service data, Computers & Industrial Engineering, Vol. 106, 137–146, 2017.
Kim, M., Kang, S., Cho, S., Virtual Metrology for Copper-Clad Laminate Manufacturing, Computers & Industrial Engineering, Vol. 109, 280–287, 2017.

2016

Hur, M., Kang, P., Cho, S., Box-office forecasting based on sentiments, Information Sciences, Vol. 372, 608–624, 2016.
Kang, S., Kim, D., Cho, S., Efficient Feature Selection for Virtual Metrology, IEEE Transactions on Semiconductor Manufacturing, Vol. 29(4), 391–398, 2016.
Kim, Y. J., Baik, B., Cho, S., Detecting financial misstatements, Expert Systems with Applications, Vol. 62, 32–43, 2016.
Kang, P., Kim, D., Cho, S., Semi-supervised SVR for virtual metrology, Expert Systems with Applications, Vol. 51, 85–106, 2016.
Sun, M., Cho, S., Obtaining calibrated probability using ROC Binning, Pattern Analysis and Applications, 2016.

2015

Park, J., Cho, S., Lee, S., Kang, S., Kim, Y., Kim, J., Choi, D., Energy-saving decision making framework for HVAC with usage logs, Energy and Buildings, Vol. 108, pp. 346–357, 2015.
Hur, M., Cho, S., A Study on the Man-hour Prediction System for Shipbuilding, Journal of Intelligent Manufacturing, Vol. 26(6), pp. 1267–1279, 2015.
Kang, S., Cho, S., Optimal construction of one-against-one classifier based on meta-learning, Neurocomputing, Vol. 167, pp. 459–466, 2015.
Kang, S., Cho, S., Using Wafer Map Features to Better Predict Die-level Failures, IEEE Transactions on Semiconductor Manufacturing, Vol. 28(3), pp. 431–437, 2015.
Kang, S., Cho, S., Multi-class classification via heterogeneous ensemble of one-class classifiers, Engineering Applications of Artificial Intelligence, Vol. 43, pp. 35–43, 2015.
Kang, S., Cho, S., A Novel multi-class classification algorithm based on one-class SVM, Intelligent Data Analysis, Vol. 19(4), pp. 713–725, 2015.
Sun, M., Choi, K., Cho, S., Estimating the minority class proportion with the ROC curve, Journal of Applied Statistics, Vol. 42(8), pp. 1677–1689, 2015.
Kang, S., Kang, P., Ko, T., Cho, S., An efficient and effective ensemble of SVMs for anti-diabetic drug failure prediction, Expert Systems with Applications, Vol. 42(9), pp. 4265–4273, 2015.
Park, Y., Kang, S., Cho, S., Memory die clustering and matching for optimal voltage window, IEEE Transactions on Semiconductor Manufacturing, Vol. 28(2), pp. 180–187, 2015.
Hur, M., Han, S., Kim, H., Cho, S., Selecting an optimal set of keywords for search engine marketing, International Journal of Industrial Engineering, Vol. 22(1), 2015.
Kim, D., Kang, S., Lee, S., Cho, S., Improvement of virtual metrology performance by removing metrology noises, Pattern Analysis and Applications, Vol. 18(1), pp. 173–189, 2015.
Kang, S., Cho, S., Kang, P., Constructing a multi-class classifier using one-against-one approach, Neurocomputing, Vol. 149, pp. 677–682, 2015.
Son, J., Kim, S., Kim, H., Cho, S., 추천 시스템 기법 연구동향 분석, 대한산업공학회지, Vol. 41(2), pp. 185–208, 2015.

2014

Kang, S., Cho, S., Approximating support vector machine with artificial neural network for fast prediction, Expert Systems with Applications, Vol. 41(10), pp. 4989–4995, 2014.
Lee, S., Kang, P., Cho, S., Probabilistic local reconstruction for k-NN regression, Neurocomputing, Vol. 131, pp. 427–439, 2014.
Kim, S., Kim, H., Cho, S., Fast parameterless ballistic launch point estimation, Defence Science Journal, Vol. 64(1), pp. 41–47, 2014.
Lee, S., Kim, B., Hur, M., Cho, S., Knowledge discovery in inspection reports of marine structures, Expert Systems with Applications, Vol. 41(4), pp. 1153–1167, 2014.
Park, E., Park, J., Yang, J., Cho, S., Data based segmentation and summarization for sensor data, Expert Systems with Applications, Vol. 41(6), pp. 2619–2629, 2014.
Tuerhong, G., Kim, S., Kang, P., Cho, S., Multivariate Control Charts Based on Hybrid Novelty Scores, Communications in Statistics – Simulation and Computation, Vol. 43(1), 2014.
Kim, H., Cho, S., Kang, P., KR-WordRank, 대한산업공학회지, Vol. 40(1), pp. 18–33, 2014.

2013

Lee, B., Kim, B., Hur, M., Cho, S., Mining transportation logs for understanding after-assembly block manufacturing, Expert Systems with Applications, Vol. 40(1), pp. 83–95, 2013.
Kim, S., Cho, S., Organizational Tenure Diversity as Predictors of Combat Performance, Military Psychology, Vol. 25(4), pp. 345–353, 2013.
Kim, Y., Oh, Y., Park, S., Cho, S., Stratified Sampling Design Based on Data Mining, Healthcare Informatics Research, Vol. 19(3), pp. 186–195, 2013.

2012

Kang, P., Cho, S., Support Vector Class Description (SVCD), Intelligent Data Analysis, Vol. 39(10), pp. 8975–8985, 2012.
Kang, P., Cho, S., MacLachlan, D., Improved Response Modeling based on Clustering, Expert Systems with Applications, Vol. 39(8), pp. 6738–6753, 2012.
Kim, D., Cho, S., Pattern selection for support vector regression, Expert Systems with Applications, Vol. 39(10), pp. 8975–8985, 2012.
Kim, D., Kang, P., Cho, S., Machine learning-based novelty detection for faulty wafer detection, Expert Systems with Applications, Vol. 39(4), pp. 4075–4083, 2012.
Jung, W., Cho, S., 부분궤적의 유사성을 통한 이동객체의 시점 추정 방법, 한국국방경영분석학회지, Vol. 37(4), pp. 95–105, 2012.
Kang, P., Kim, D., Lee, S., Cho, S., 이상치 탐지 방법론을 활용한 반도체 가상 계측 결과의 신뢰도 추정, 대한산업공학회지, Vol. 38(1), pp. 1–10, 2012.
Kang, P., Cho, S., 자유로운 문자열의 키스트로크 다이나믹스를 활용한 사용자 인증 연구, IE Interface, 2012.

2011

Kim, D., Kang, P., Cho, S., Virtual Metrology for Run-to-Run Control, Expert Systems with Applications, Vol. 38(3), pp. 2508–2522, 2011.

2010

Lee, S., Shin, H., Cho, S., Semi-Supervised Learning for Response Modeling, Journal of Interactive Marketing, Vol. 24(1), pp. 42–54, 2010.

2009

Hwang, S., Lee, H., Cho, S., Keystroke Dynamics-based Authentication for Mobile Devices, Computers & Security, Vol. 28(1–2), pp. 85–93, 2009.
Hwang, S., Lee, H., Cho, S., Improving Authentication Accuracy using Artificial Rhythms, Expert Systems with Applications, Vol. 36(7), pp. 10649–10656, 2009.
Kang, P., Cho, S., A Hybrid Novelty Score and its use in Keystroke Dynamics, Pattern Recognition, Vol. 42, pp. 3115–3127, 2009.
Kang, P., Lee, H., Cho, S., Virtual Metrology for advanced process control, Expert Systems with Applications, Vol. 36(10), pp. 12554–12561, 2009.
Hwang, S., Lee, H., Cho, S., Account Sharing Detection through Keystroke Dynamics, International Journal of Electronic Commerce, Vol. 14(2), pp. 109–126, 2009.

2008

Kim, D., Lee, H., Cho, S., Response Modeling with Support Vector Regression, Expert Systems with Applications, Vol. 34(2), pp. 1102–1108, 2008.
Lee, H., Cho, S., Shin, M., Supporting Diagnosis of ADHD with Novelty Detection, Artificial Intelligence in Medicine, Vol. 42(3), pp. 199–212, 2008.
Kang, P., Park, S., Hwang, S., Cho, S., Improvement of Keystroke Data Quality, Computers & Security, Vol. 27(1–2), pp. 3–11, 2008.
Kang, P., Cho, S., Locally linear reconstruction for instance-based learning, Pattern Recognition, Vol. 41(11), pp. 3507–3518, 2008.
Kim, D., Lee, H., Cho, S., Response Modeling with Support Vector Regression, Expert Systems with Applications, Vol. 34(2), pp. 1102–1108, 2008.
Lee, H., Cho, S., Shin, M., Supporting Diagnosis of ADHD with Novelty Detection, Artificial Intelligence in Medicine, Vol. 42(3), pp. 199–212, 2008.
Kang, P., Park, S., Hwang, S., Cho, S., Improvement of Keystroke Data Quality, Computers & Security, Vol. 27(1–2), pp. 3–11, 2008.
Kang, P., Cho, S., Locally linear reconstruction for instance-based learning, Pattern Recognition, Vol. 41(11), pp. 3507–3518, 2008.

2007

Lee, H., Cho, S., Retraining a Keystroke Dynamics-based authenticator, Computers & Security, Vol. 26(4), pp. 300–310, 2007.
Kang, P., Hwang, S., Cho, S., Continual Retraining of Keystroke Dynamics, Expert Systems with Applications, Vol. 33(5), pp. 522–530, 2007.
Shin, H., Cho, S., Neighborhood property based Pattern selection for SVM, Neural Computation, Vol. 19(3), pp. 816–855, 2007.

2006

Yu, E., Cho, S., Constructing response model using ensemble based on feature subset selection, Expert Systems with Applications, Vol. 30(2), pp. 352–360, 2006.
Shin, H., Cho, S., Response Modeling with Support Vector Machines, Expert Systems with Applications, Vol. 30(4), pp. 746–760, 2006.
Yu, E., Cho, S., Ensemble based on GA wrapper feature selection, Computers & Industrial Engineering, Vol. 51(1), pp. 111–116, 2006.
Lee, H., Cho, S., Application of LVQ to Novelty Detection, Pattern Recognition Letters, Vol. 27(13), pp. 1572–1579, 2006.

2005

Ha, K., Cho, S., MacLachlan, D., Response Models Based on Bagging Neural Networks, Journal of Interactive Marketing, Vol. 19(1), pp. 17–30, 2005.
Shin, H., Cho, S., Invariance of Neighborhood Relation under Input Space to Feature Space Mapping, Pattern Recognition Letters, Vol. 26(6), pp. 707–718, 2005.

2004

Lee, H., Cho, S., Keystroke dynamics identity verification, Computers & Security, Vol. 23(5), pp. 428–440, 2004.

2002

Jang, M., Cho, S., Observational Learning Algorithm for an Ensemble of Neural Networks, Pattern Analysis and Applications, Vol. 5(2), pp. 154–167, 2002.

2001

Cho, S., Shin, M., Neural Network based Automatic Diagnosis of Children, International Journal of Neural Systems, Vol. 11(4), pp. 361–369, 2001.
Lee, S., Cho, S., Smoothed Bagging with Kernel Bandwidth Selectors, Neural Processing Letters, Vol. 14(2), pp. 157–168, 2001.

2000

Wong, P., Jang, M., Cho, S., Multiple permeability predictions, Computers & Geosciences, Vol. 26(8), pp. 907–913, 2000.
Cho, S., Han, C., Han, D., Kim, H., Web based Keystroke Dynamics Identity Verification, Journal of Organizational Computing and Electronic Commerce, Vol. 10(4), pp. 295–307, 2000.

1999

Peng, Y., Zhou, Z., Cho, S., Constructing Belief Networks from Realistic Data, International Journal of Intelligent Systems, Vol. 14, pp. 671–695, 1999.

1998

Lee, J., Cho, S., Yoon, M., Neural Network Method for Diagnosing Beam Position Monitors, Nuclear Instruments and Methods in Physics Research A, Vol. 402(1), pp. 14–20, 1998.
Jang, M., Cho, S., Lee, S., Kwon, Y., Belt Speed Control in Sintering Plant, Steel Research, Vol. 69(10–11), pp. 398–405, 1998.
Lee, S., Cho, S., Wong, P., Spatial Interpolation using Artificial Neural Network, Journal of Geographic Information and Decision Analysis, Vol. 2(2), pp. 253–264, 1998.

1997

Cho, S., Cho, Y., Yoon, S., Reliable Roll Force Prediction in Cold Mill, IEEE Transactions on Neural Networks, Vol. 8(4), pp. 874–882, 1997.
Cho, S., Jang, M., Chang, S., Virtual Sample Generation using a Population of Networks, Neural Processing Letters, Vol. 5(2), pp. 83–89, 1997.
Whitney, C., Reggia, J., Cho, S., Does Rotation of Neuronal Population Vectors Equal Mental Rotation?, Connection Science, Vol. 9, pp. 253–268, 1997.
Cho, S., Jang, M., Yoon, S., Hybrid Neural-Network/Mathematical Prediction Model, Computers & Industrial Engineering, Vol. 33(3–4), pp. 453–456, 1997.

1996

Han, S., Cho, S., Kwahk, J., Kim, M., Cho, K., Design Guidelines for Character Rejection, International Journal of Industrial Ergonomics, Vol. 18(2), pp. 161–171, 1996.
Cho, S., Jang, M., Reggia, J., Effects of varying parameters on properties of self-organizing maps, Neural Processing Letters, Vol. 4(1), pp. 53–59, 1996.

1994

Cho, S., Reggia, J., Map Formation in Proprioceptive Cortex, International Journal of Neural Systems, Vol. 5(2), pp. 87–101, 1994.

1993

Cho, S., Reggia, J., Multiple Disorder Diagnosis with Adaptive Competitive Neural Networks, Artificial Intelligence in Medicine, Vol. 5(6), pp. 469–487, 1993.
Cho, S., Reggia, J., Learning Competition and Cooperation, Neural Computation, Vol. 5(2), pp. 242–259, 1993.

1989

Cho, S., Haralick, R., Yi, S., Improvement of Kittler and Illingworth’s Minimum Error Thresholding, Pattern Recognition, Vol. 22(5), pp. 609–617, 1989.