| Multi-co-training for document classification using various document representations: TF–IDF, LDA, and Doc2Vec D Kim, D Seo, S Cho, P Kang Information Sciences 477, 15-29, 2019 | 242 | 2019 |
| EUS SVMs: Ensemble of under-sampled SVMs for data imbalance problems P Kang, S Cho International conference on neural information processing, 837-846, 2006 | 227 | 2006 |
| A virtual metrology system for semiconductor manufacturing P Kang, H Lee, S Cho, D Kim, J Park, CK Park, S Doh Expert Systems with Applications 36 (10), 12554-12561, 2009 | 126 | 2009 |
| Continual retraining of keystroke dynamics based authenticator P Kang, S Hwang, S Cho International Conference on Biometrics, 1203-1211, 2007 | 117 | 2007 |
| Virtual metrology for run-to-run control in semiconductor manufacturing P Kang, D Kim, H Lee, S Doh, S Cho Expert Systems with Applications 38 (3), 2508-2522, 2011 | 116 | 2011 |
| Recurrent inception convolution neural network for multi short-term load forecasting J Kim, J Moon, E Hwang, P Kang Energy and buildings 194, 328-341, 2019 | 109 | 2019 |
| Box office forecasting using machine learning algorithms based on SNS data T Kim, J Hong, P Kang International Journal of Forecasting 31 (2), 364-390, 2015 | 104 | 2015 |
| Keystroke dynamics-based user authentication using long and free text strings from various input devices P Kang, S Cho Information Sciences 308, 72-93, 2015 | 101 | 2015 |
| Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing D Kim, P Kang, S Cho, H Lee, S Doh Expert Systems with Applications 39 (4), 4075-4083, 2012 | 98 | 2012 |
| Pre-launch new product demand forecasting using the Bass model: A statistical and machine learning-based approach H Lee, SG Kim, H Park, P Kang Technological Forecasting and Social Change 86, 49-64, 2014 | 90 | 2014 |
| Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network G Lee, J Jeong, S Seo, CY Kim, P Kang Knowledge-Based Systems 152, 70-82, 2018 | 88 | 2018 |
| Locally linear reconstruction for instance-based learning P Kang, S Cho Pattern Recognition 41 (11), 3507-3518, 2008 | 83 | 2008 |
| Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing P Kang, D Kim, S Cho Expert Systems with Applications 51, 85-106, 2016 | 77 | 2016 |
| Box-office forecasting based on sentiments of movie reviews and Independent subspace method M Hur, P Kang, S Cho Information Sciences 372, 608-624, 2016 | 70 | 2016 |
| Constructing a multi-class classifier using one-against-one approach with different binary classifiers S Kang, S Cho, P Kang Neurocomputing 149, 677-682, 2015 | 63 | 2015 |
| Locally linear reconstruction based missing value imputation for supervised learning P Kang Neurocomputing 118, 65-78, 2013 | 61 | 2013 |
| Keystroke dynamics-based user authentication using freely typed text based on user-adaptive feature extraction and novelty detection J Kim, H Kim, P Kang Applied Soft Computing 62, 1077-1087, 2018 | 60 | 2018 |
| An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction S Kang, P Kang, T Ko, S Cho, S Rhee, KS Yu Expert Systems with Applications 42 (9), 4265-4273, 2015 | 59 | 2015 |
| Identifying core topics in technology and innovation management studies: A topic model approach H Lee, P Kang The Journal of Technology Transfer 43 (5), 1291-1317, 2018 | 52 | 2018 |
| Multi-class classification via heterogeneous ensemble of one-class classifiers S Kang, S Cho, P Kang Engineering Applications of Artificial Intelligence 43, 35-43, 2015 | 50 | 2015 |
sungzoon choSeoul National UniversityVerified email at snu.ac.kr
