Journal Publications Since 2010

  1. "Adaptive fault detection framework for recipe transition in semiconductor manufacturing", Jaewoong Shim, Sungzoon Cho, Euiseok Kum, Suho Jeong, Computers & Industrial Engineering, Available online 23 August 2021, 107632
  2. "A scoring model to detect abusive medical institutions based on patient classification system: diagnosis-related group and ambulatory patient group", Hunsik Shin, Jehyuk Lee, Yongdae An, Sungzoon Cho(*), Journal of Biomedical Informatics, Mar, 2021, on line
  3. "Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors" accepted, IEEE Access, Eunji Kim and Sungzoon Cho, 2021.8.28
  4. "User segmentation via interpretable user representation and relative similarity-based segmentation method.", Lee, Y., Cho, S. Multimedia Systems, 27, 61–72 (2021)
  5. "Active inspection for cost-effective fault prediction in manufacturing process", Jaewoong Shim, Seokho Kang, Sungzoon Cho, Journal of Process Control, Volume 105, September 2021, Pages 250-258,
  6. "Active cluster annotation for wafer map pattern classification in semiconductor manufacturing", Jaewoong Shim, Seokho Kang, Sungzoon Cho, Expert Systems with Applications, Volume 183, 30 November 2021, 115429
  7. "User segmentation via interpretable representation and relative similarity-based segmentation method", Younghoon Lee, Sungzoon Cho, Multimedia Systems, online since Oct 10, 2020, 10.1007/s00530-020-00702-4 Accepted, To appear, available online 이영훈
  8. "A scoring model to detect abusive medical institutions based on patient classification system: diagnosis-related group and ambulatory patient group", Hunsik Shin, Jehyuk Lee, Yongdae An, Sungzoon Cho(*), Journal of Biomedical Informatics, Mar, 2021, Accepted, To appear, available online 신훈식
  9. "Artificial Intelligence Based Prediction of Movie Audience on First Saturday, International Journal of Forecasting", Yongdae An; Jinwon An; Sungzoon Cho, International Journal of Forecasting 37 (2021) 274–288
  10. "Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning," J. An and S. Cho, in IEEE Access, vol. 8, pp. 200229-200236, 2020,
  11. "A Novel Framework for Identifying Customer Needs on Online Social Media using Context Tree, Applied Sciences", Taehoon Ko, Ilsun Rhiu, Myung Hwan Yun, Sungzoon Cho * Appl. Sci. 2020, 10, 8473.
  12. "Extraction and prioritization of product attributes using an explainable neural network" Younghoon Lee, Jungmin Park, and Sungzoon Cho, Pattern Analysis and Applications, Pattern Analysis and Applications, 23(4), 1767-1777, 08 May 2020
  13. "Design of semantic-based colorization of graphical user interface through conditional generative adversarial nets", Younghoon Lee, Sungzoon Cho, International Journal of Human–Computer Interaction, Volume 36, Issue 8, Pages 699-708, 2020
  14. "Abnormal usage sequence detection for identification of user needs via recurrent neural network semantic variational autoencoder", Younghoon Lee, Sungzoon Cho, International Journal of Human-Computer Interaction, Volume 36, Issue 7, Pages 631-640, 2020
  15. "Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling", Hyunjoong Kim; Han Kyul Kim; Sungzoon Cho; ESWA, Volume 150, 15 July 2020, 113288
  16. "A medical treatment based scoring model to detect abusive institutions", Jehyuk Lee, Hoonsik Shin, Sungzoon Cho, Journal of Biomedical Informatics, Volume 107, July 2020, 103423
  17. "Active Learning of Convolutional Neural Network for Cost-Effective Wafer Map Pattern Classification", Jaewoong Shim, Seokho Kang, Sungzoon Cho, IEEE Transactions on Semiconductor Manufacturing, Volume 33, Issue 2, Pages 258-266, May 2020
  18. "Expected margin-based pattern selection for support vector machines", Dongil Kim , Seokho Kang,∗ , Sungzoon Cho, Expert Systems With Applications, Vol. 139, Jan 2020, article number 112865
  19. "Determining user needs through abnormality detection and heterogeneous embedding of usage sequence", Younghoon Lee, Sungzoon Cho, Jinhae Choi, Electronic Commerce Research, published online 15 April 2019
  20. "Smartphone help contents re-organization considering user specification via conditional GAN", Younghoon Lee, Sungzoon Cho, Jinhae Choi, International Journal of Human - Computer Studies, Volume 129, September 2019, Pages 108-115
  21. "App usage prediction for dual display device via two-phase sequence modeling, Pervasive and Mobile Computing", Younghoon Lee, Sungzoon cho, and Jinhae Choi, Volume 58, August 2019, article number 101025
  22. "Fault Detection and Diagnosis Using Self-Attentive Convolutional Neural Networks for Variable-length Sensor Data in Semiconductor Manufacturing", Eunji kim, Sungzoon Cho, Byeong eon Lee, Myoungsu Cho, IEEE Transactions on Semiconductor Manufacturing, Volume: 32, Issue: 3, 302 – 309, Aug. 2019,
  23. "Extraction of Product Evaluation factors with a convolutional neural network and transfer learning", Younghoon Lee, Minki Chung, Sungzoon Cho, and Jinhae Choi, Neural Processing Letters, 50(1), 149-164, August 2019
  24. "Champion-challenger analysis for credit card fraud detection: hybrid ensemble and deep learning", Eunji Kim, Jehyuk Lee, Hunsik Shin, Hoseong Yang, Sungzoon Cho, Seung-kwan Nam, Youngmi Song, Jeong-a Yoon, Jong-il Kim, Wooho Chung, Kyungmo La, Kangshin Ko, Expert Systems with Applications, Volume 128, 15 August 2019, pp. 214-224
  25. "Approximate training of one-class support vector machines using expected margin", Seokho Kang, Dongil Kim*, and Sungzoon Cho, Computers & Industrial Engineering, Vol. 130, pp.772-778, April 2019.
  26. "Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application" Hyunjoong Kim; Han Kyul Kim; Misuk Kim; Jooseoung Park; Sungzoon Cho; Keyng Bin Im; Chang Ryeol Ryu, Computers & Industrial Engineering. Volume 130, Pages 272-281, April 2019,
  27. "Supervised paragraph vectors: distributed representations of words, documents and class labels", Eunjung Park, Pilsung Kang, Sungzoon Cho, IEEE Access, Vol. 7, pp. 29051 – 29064, 27 February 2019
  28. "Document representation based on probabilistic word clustering in customer-voice classification", Younghoon Lee, Seokmin Song, Sungzoon Cho, Jinhae Choi, Pattern Analysis and Application, Volume 22, Issue 1, pp 221–232, February 2019,
  29. "Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System", Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho, AAAI-19 Student Abstract and Poster Program, January 27 – February 1, 2019, Honolulu, Hawaii, USA
  30. "Graph Based Aspect Extraction and Rating Classification of Customer Review Data", Sung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, Sungzoon Cho, International Conference on Database Systems for Advanced Applications, DASFAA 2019: Database Systems for Advanced Applications, Lecture Notes in Computer Science book series (LNCS, volume 11448), pp 186-199, Chiang Mai, Thailand, April 22~25, 2019.
  31. "Stock Price Prediction through Sentiment Analysis of Corporate Disclosures Using Distributed Representation", Misuk Kim, Eunjeong Lucy Park, and Sungzoon Cho, Intelligent Data Analysis Journal, Vol. 22(6) pp. 1395-1413 December, 2018
  32. "Applying convolution filter to matrix of word-clustering based document representation", Younghoon Lee, Jinbae Im, Sungzoon cho, Jinhae Choi, Neurocomputing, Volume 315, 13 November 2018, Pages 210-220
  33. "Knowledge Extraction and Visualization of Digital Design Process", Jiwon Yang, Eunji Kim, Minhoe Hur, Sungzoon Cho, Myungbin Han, Iksang Suh, Expert Systems with Applications, volume 92, Issue C, February 2018, Pages 206-215
  34. "Product failure prediction with missing data", Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho*, International Journal of Production Research, Online publication, Vol. 56, Issue 14, Nov 2018, Pages 4849-4859
  35. "De-noising documents with a novelty detection method utilizing class vectors in customer-voice classification, Intelligent Data Analysis", Younghoon Lee; Sungzoon Cho, and Jinhae Choi, Vol. 22, no. 4, pp. 717-733, 2018
  36. "Smartphone user segmentation based on app usage sequence with deep neural networks", Younghoon Lee, Inbeom Park, Sungzoon Cho, Jinhae Choi, Telematics and Informatics, Vol. 35, No. 2, Pages 329-339, May 2018
  37. "SARN: Relational Reasoning through Sequential Attention", Jinwon An, Sungwon Lyu, Sungzoon Cho, NIPS Workshop on Relational Representation Learning, December 8, 2018, Montréal, Canada
  38. "빅데이터 이노베이션" 한국SCM학회 2018 춘계학술대회 기조연설, 조성준, 2018년 11월 13일, 서울 대한상공회의소
  39. "빅데이터 밸류 창출" 대한산업공학회, 2018 춘계학술대회 기조연설, 조성준, 2018년 11월 9일, 서울 한양대학교
  40. "Vehicle Flow Control Using Reinforcement Learning on Manufacturing Environment" Younkook Kang, Sungzoon Cho, INFORMS Anual Meeting 2018, November 4 - 7, 2018, Phoenix, USA
  41. "Big Data Innovation in Korea Manufacturing", Sungzoon Cho, Advances in Production Management Systems, APMS 2018 Keynote Speech, August 26-30, Seoul National University, Seoul, Korea
  42. "Air Conditioning Load Prediction using Recurrent Neural Networks", Ahn, Ahn, Park, Lim, Cho, IEEE Industrial Engineering and Engineering Management 2018, December 16-19, Bangkok, Thailand
  43. "Extraction and prioritization of product attributes using an explainable neural network" Younghoon Lee, Jungmin Park, and Sungzoon Cho, Pattern Analysis and Applications, available online
  44. "A medical treatment based scoring model to detect abusive institutions", Jehyuk Lee, Hunsik Shin, Sungzoon Cho, Journal of Biomedical Informatics, available online
  45. "Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling", Hyunjoong Kim, Han Kyul Kim, Sungzoon Cho, Expert Systems with Applications, available online
  46. "Determining user needs through abnormality detection and heterogeneous embedding of usage sequence", Younghoon Lee, Sungzoon Cho, Jinhae Choi, Electronic Commerce Research, available online
  47. "Expected margin-based pattern selection for support vector machines", Dongil Kim , Seokho Kang, Sungzoon Cho, Expert Systems With Applications, available online
  48. "App usage prediction for dual display device via two-phase sequence modeling", Younghoon Lee, Sungzoon cho, and Jinhae Choi, Pervasive and Mobile Computing, Volume 58, available online
  49. "Design of semantic-based colorization of graphical user interface through conditional generative adversarial nets", Younghoon Lee, Sungzoon Cho, International Journal of Human–Computer Interaction, Volume 36, Issue 8, Pages 699-708, 2020
  50. "Abnormal usage sequence detection for identification of user needs via recurrent neural network semantic variational autoencoder", Younghoon Lee, Sungzoon Cho, International Journal of Human-Computer Interaction, Volume 36, Issue 7, Pages 631-640, 2020
  51. "Active Learning of Convolutional Neural Network for Cost-Effective Wafer Map Pattern Classification", Jaewoong Shim, Seokho Kang, Sungzoon Cho, IEEE Transactions on Semiconductor Manufacturing, Volume 33, Issue 2, Pages 258-266, May 2020
  52. "Smartphone help contents re-organization considering user specification via conditional GAN", Younghoon Lee, Sungzoon Cho, Jinhae Choi, International Journal of Human-Computer Studies, Volume 129, Pages 108-115, September 2019
  53. "Fault Detection and Diagnosis Using Self-Attentive Convolutional Neural Networks for Variable-length Sensor Data in Semiconductor Manufacturing", Eunji kim, Sungzoon Cho, Byeong eon Lee, Myoungsu Cho, IEEE Transactions on Semiconductor Manufacturing, Volume: 32, Issue: 3, 302 – 309, August 2019 [2019 서울대학교-삼성전자 산학협력 최우수논문상 수상]
  54. "Extraction of Product Evaluation factors with a convolutional neural network and transfer learning", Younghoon Lee, Minki Chung, Sungzoon Cho, and Jinhae Choi, Neural Processing Letters, 50(1), 149-164, August 2019
  55. "Champion-challenger analysis for credit card fraud detection: hybrid ensemble and deep learning", Eunji Kim, Jehyuk Lee, Hunsik Shin, Hoseong Yang, Sungzoon Cho, Seung-kwan Nam, Youngmi Song, Jeong-a Yoon, Jong-il Kim, Wooho Chung, Kyungmo La, Kangshin Ko, Expert Systems with Applications, Volume 128, pp. 214-224, August 2019
  56. "Approximate training of one-class support vector machines using expected margin", Seokho Kang, Dongil Kim, and Sungzoon Cho, Computers & Industrial Engineering, Vol. 130, pp.772-778, April 2019
  57. "Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application" Hyunjoong Kim; Han Kyul Kim; Misuk Kim; Jooseoung Park; Sungzoon Cho; Keyng Bin Im; Chang Ryeol Ryu, Computers & Industrial Engineering. Volume 130, Pages 272-281, April 2019
  58. "Document representation based on probabilistic word clustering in customer-voice classification", Younghoon Lee, Seokmin Song, Sungzoon Cho, Jinhae Choi, Pattern Analysis and Application, Volume 22, Issue 1, pp 221–232, February 2019
  59. "Supervised paragraph vectors: distributed representations of words, documents and class labels", Eunjung Park, Pilsung Kang, Sungzoon Cho, IEEE Access, Vol. 7, pp. 29051 – 29064, February 2019
  60. "Stock Price Prediction through Sentiment Analysis of Corporate Disclosures Using Distributed Representation", Misuk Kim, Eunjeong Lucy Park, and Sungzoon Cho, Intelligent Data Analysis Journal, Vol. 22(6) pp. 1395-1413, December 2018
  61. "Applying convolution filter to matrix of word-clustering based document representation", Younghoon Lee, Jinbae Im, Sungzoon cho, Jinhae Choi, Neurocomputing, Volume 315, Pages 210-220, November 2018
  62. "Product failure prediction with missing data", Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho, International Journal of Production Research, Vol. 56, Issue 14, Pages 4849-4859, November 2018
  63. "De-noising documents with a novelty detection method utilizing class vectors in customer-voice classification", Younghoon Lee, Sungzoon Cho, and Jinhae Choi, Intelligent Data Analysis, Vol. 22, no. 4, pp. 717-733, June 2018
  64. "Smartphone user segmentation based on app usage sequence with deep neural networks", Younghoon Lee, Inbeom Park, Sungzoon Cho, Jinhae Choi, Telematics and Informatics, Vol. 35, No. 2, Pages 329-339, May 2018
  65. "Obtaining calibrated probability using ROC Binning.", Meesun Sun, Sungzoon Cho, Pattern Analysis and Applications 21(2), pp.307-322, May 2018
  66. "Knowledge Extraction and Visualization of Digital Design Process", Jiwon Yang, Eunji Kim, Minhoe Hur, Sungzoon Cho, Myungbin Han, Iksang Suh, Expert Systems with Applications, volume 92, Issue C, Pages 206-215, February 2018
  67. "Ranking Process Parameter Association with Low Yield Wafers Using Spec-out Event Network Analysis", Jiwon Yang, Seungkyung Lee, Seokho Kang, Sungzoon Cho, Younghak Lee, and Haesang Park, Computers and Industrial Engineering, Volume 113 Issue C, Pages 419-424, November 2017
  68. "Bag-of-Concepts: Comprehending Document Representation through Clustering Words in Distributed Representation", Han Kyul Kim, Hyunjoong Kim, Sungzoon Cho, Neurocomputing, Volume 266, Pages 336-352, November 2017
  69. "Reliable prediction of anti-diabetic drug failure with a reject option", Seokho Kang, Sungzoon Cho, Su-jin Rhee, Kyung-sang Yu, Pattern Analysis and Applications, Vol. 20, Issue 3, pages 883-891, August 2017
  70. "Virtual Metrology for Copper-Clad Laminate Manufacturing", Misuk Kim, Seokho Kang, Jehyuk Lee, Hyunchang Cho, Jee su Park, Sungzoon Cho, Computers & Industrial Engineering, Volume 109, Pages 280–287, July 2017
  71. "Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data", Taehoon Ko, Je Hyuk Lee, Hyunchang Cho, Sungzoon Cho, Wounjoo Lee, Miji Lee, Industrial Management & Data Systems, Vol. 117 Issue: 5, pp. 927-945, June 2017
  72. "Mining the relationship between production and customer service data for failure analysis of industrial products", Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho, Wonsang Chang, Junhwan Kim, Computers & Industrial Engineering, Vol. 106, pages 137-146, April 2017
  73. "Box-office forecasting based on sentiments of movie reviews and independent subspace method", Minhoe Hur, Pilsung Kang, Sungzoon cho, Information Sciences, Volume 372, Pages 608–624, December 2016
  74. "Efficient Feature Selection based on Random Forward Search for Virtual Metrology Modeling", Seokho Kang, Dongil Kim, and Sungzoon Cho, IEEE Transactions on Semiconductor Manufacturing, Vol. 29, Issue 4, Pages 391-398, November 2016
  75. "Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning", Yeonkook J. Kim, Bok Baik, Sungzoon Cho, Expert Systems with Applications, Volume 62, Pages 32-43, November 2016
  76. "The Effect of Naive Reinforcement Learning in the Stock Market", Sunghoon Park and Sungzoon Cho, Review of Finance, Vol. 20, Issue 6, Pages 2015-2037, August 2016
  77. "Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing", Pilsung Kang, Dongil Kim, Sungzoon Cho, Expert Systems with Applications, Volume 51, Issue 1, Pages 85-106, 1 June 2016
  78. "Energy-saving decision making framework for HVAC with usage logs", Jooseoung Park, Sungzoon Cho, Seungkyung Lee, Seokho Kang, Young Soo Kim, Ji Young Kim, Dong Seuk Choi, Energy and Buildings, Volume 108, Pages 346–357, December 2015
  79. "A Study on the Man-hour Prediction System for Shipbuilding", Minhoe Hur, Seung-kyung Lee, Bongseok Kim, Sungzoon Cho, Dongha Lee, and Daehyung Lee, Journal of Intelligent Manufacturing, Volume 26, Issue 6, Pages 1267-1279, December 2015
  80. "Optimal construction of one-against-one classifier based on meta-learning", Seokho Kang, Sungzoon Cho, Neurocomputing, Volume 167, 459-466, November 2015
  81. "Using wafer map features to better predict die-level failures in final test", Seokho Kang, Sungzoon Cho, Daewoong An, Jaeyoung Rim, IEEE Transactions on Semiconductor Manufacturing, Volume 28, Issue 3, Pages 431-437, August 2015
  82. "Estimating the minority class proportion with the ROC curve using Military Personality Inventory data of the ROK Armed Forces", Meesun Sun, Kwanghyun Choi, Sungzoon Cho, Journal of Applied Statistics, Volume 42, Issue 8, Pages 1677-1689, August 2015
  83. "Multi-class classification via heterogeneous ensemble of one-class classifiers", Seokho Kang, Sungzoon Cho, Pilsung Kang, Engineering Applications of Artificial Intelligence, Volume 43, Pages 35-43, August 2015
  84. "A novel multi-class classification algorithm based on one-class support vector machine", Seokho Kang, Sungzoon Cho, Intelligent Data Analysis, Volume 19, Issue 4, Pages 713-725, July 2015
  85. "Keystroke dynamics-based user authentication using long and free text strings from various input devices", Pilsung Kang, Sungzoon Cho, Information Sciences, Volume 308, Pages 72-93, July 2015
  86. "An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction", Seokho Kang, Pilsung Kang, Taehoon Ko, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu, Expert Systems with Applications, Volume 42, Issue 9, Pages 4265-4273, June 2015
  87. "Memory die clustering and matching for optimal voltage window in semiconductor", Yongwon Park, Seokho Kang, Sungzoon Cho, IEEE Transactions on Semiconductor Manufacturing, Volume 28, Issue 2, Pages 180-187, May 2015
  88. "추천 시스템 기법 연구동향 분석", 손지은, 김성범, 김현중, 조성준, 대한산업공학회지, Vol.41, No.2, pp.185-208, April 2015
  89. "Selecting an Optimal Set of Keywords for Search Engine Advertising", Minhoe Hur, Songwon Han, Hongtae Kim, and Sungzoon Cho, International Journal of Industrial Engineering: Theory, Applications and Practice, Volume 22, Issue 1, Pages 62-79, February 2015
  90. "Improvement of virtual metrology performance by removing metrology noises in a training dataset", Dongil Kim, Pilsung Kang, Seung-kyung Lee, Seokho Kang, Seungyong Doh, and Sungzoon Cho, Pattern Analysis and Applications, Volume 18, Pages 173-189, February 2015
  91. "Constructing a multi-class classifier using one-against-one approach with different binary classifiers", Seokho Kang, Pilsung Kang, Sungzoon Cho, Neurocomputing, Volume 149, Pages 677-682, February 2015
  92. "Evaluating the reliability level of virtual metrology results for flexible process control: A novelty detection-based approach", Pilsung Kang, Dongil Kim, and Sungzoon Cho, Pattern Analysis and Applications, Volume 17, Issue 4, Pages 863-881, November 2014
  93. "Approximating support vector machine with artificial neural network for fast prediction", Seokho Kang, Sungzoon Cho, Expert Systems with Applications, Volume 41, Issue 10, Pages 4989-4995, August 2014
  94. "Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing", Seung-kyung Lee, Pilsung Kang, Sungzoon Cho, Neurocomputing, Volume 131, Pages 427-439, May 2014
  95. "Data based segmentation and summarization for sensor data in semiconductor manufacturing", Eunjeong L. Park, Jooseoung Park, Jiwon Yang, Sungzoon Cho, Young-Hak Lee, Hae-Sang Park, Expert Systems with Applications, Volume 41, Issue 6, Pages 2619-2629, May 2014
  96. "Knowledge discovery in inspection reports of marine structures", Seung-kyung Lee, Bongseok Kim, Minhoe Hur, Jooseoung Park, Seokho Kang, and Sungzoon Cho, Dongha Lee, Daehyung Lee, Expert Systems with Applications, Volume 41, Issue 4, Part 1, Pages 1153-1167, March 2014
  97. "KR-WordRank: A Korean word extraction method based on WordRank and unsupervised learning", Hyunjoong Kim, Sungzoon Cho and Pilsung Kang, 대한산업공학회지, Vol. 40(1): 18-33, February 2014
  98. "Fast Parameterless Ballistic Launch Point Estimation based on k-NN Search", Soojin Kim, Hyunjoong Kim, Sungzoon Cho, Defence Science Journal, Volume 64, No 1, Pages 41-47, January 2014
  99. "Multivariate Control Charts Based on Hybrid Novelty Scores", Gulanbaier Tuerhong, Seoung Bum kim, Pilsung Kang, and Sungzoon Cho, Communications in Statistics - Simulation and Computation, Volume 43, Issue 1, pages 115-131, January 2014
  100. "Stratified Sampling Design Based on Data Mining", Yeonkook J. Kim, Yoonhwan Oh, Sunghoon Park, Sungzoon Cho, Hayoung Park, Healthcare Informatics Research. Vol 19, No. 3, 186-195, September 2013
  101. "Organizational tenure diversity as predictors of combat performance in ROK army", Soojin Kim, Keunyoung Seo, Seokho Kang, Sungzoon Cho, Military Psychology, Vol 25(4), Pages 345-353, July 2013
  102. "Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry", Seung-kyung Lee, Bongseok Kim, Minhoe Hur, Sungzoon Cho, Sungkyu Park, Daehyung Lee, Expert Systems with Applications, Volume 40 Issue 1, Pages 83-95, January 2013
  103. "부분궤적의 유사성을 통한 이동객체의 시점 추정 방법", 정원열, 조성준, 한국국방경영분석학회지, 제 37권, 제 4호, p 95-105, 2012
  104. "자유로운 문자열의 키스트로크 다이나믹스를 활용한 사용자 인증 연구", 강필성, 조성준, IE Interface, 9월호, 2012
  105. "Pattern selection for support vector regression based response modeling", Dongil Kim, Sungzoon Cho, Expert Systems with Applications, Volume 39, Issue 10, Pages 8975-8985, August 2012
  106. "Improved response modeling based on Clustering, Under-sampling, and Ensemble", Pilsung Kang, Sungzoon Cho, and Douglas MacLachlan, Expert Systems with Applications, Volume 39, Issue 8, Pages 6738-6753, June 2012
  107. "Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing", Dongil Kim, Pilsung Kang, Sungzoon Cho, Hyoung-joo Lee, Seungyong Doh, Expert Systems with Applications, Volume 39, Issue 4, Pages 4075-4083, March 2012
  108. "이상치 탐지 방법론을 활용한 반도체 가상 게측 결과의 신뢰도 추정", 강필성, 김동일, 이승경, 도승용, 조성준, 대한산업공학회지, Vol. 38, No. 1, pp. 46-56, March 2012
  109. "Support Vector Class Description (SVCD): Classification in Kernel Space", Pilsung Kang and Sungzoon Cho, Intelligent Data Analysis, Volume 16, Number 3, Pages 351-364, January 2012
  110. "Virtual metrology for run-to-run control in semiconductor manufacturing", Pilsung Kang, Dongil Kim, Hyoung-joo Lee, Seungyong Doh, and Sungzoon Cho, Expert Systems with Applications, Volume 38, Issue 3, Pages 2508-2522, March 2011
  111. "Semi-Supervised Response Modeling", Hyoung-joo Lee, Hyunjung Shin, Seong-seob Hwang, Sungzoon Cho, and Douglas MacLachlan, Journal of Interactive Marketing, Volume 24, Issue 1, Pages 42-54, February 2010