| 2008 |
| 46 | EE | Dongil Kim,
Sungzoon Cho:
Bootstrap Based Pattern Selection for Support Vector Regression.
PAKDD 2008: 608-615 |
| 45 | EE | Hyoungjoo Lee,
Sungzoon Cho,
Min Sup Shin:
Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection.
Artificial Intelligence in Medicine 42(3): 199-212 (2008) |
| 44 | EE | Pilsung Kang,
Sunghoon Park,
Seongseob Hwang,
Hyoungjoo Lee,
Sungzoon Cho:
Improvement of keystroke data quality through artificial rhythms and cues.
Computers & Security 27(1-2): 3-11 (2008) |
| 43 | EE | Dongil Kim,
Hyoungjoo Lee,
Sungzoon Cho:
Response modeling with support vector regression.
Expert Syst. Appl. 34(2): 1102-1108 (2008) |
| 42 | EE | Pilsung Kang,
Sungzoon Cho:
Locally linear reconstruction for instance-based learning.
Pattern Recognition 41(11): 3507-3518 (2008) |
| 2007 |
| 41 | EE | Pilsung Kang,
Seongseob Hwang,
Sungzoon Cho:
Continual Retraining of Keystroke Dynamics Based Authenticator.
ICB 2007: 1203-1211 |
| 40 | EE | Seongseob Hwang,
Sungzoon Cho:
Clustering-Based Reference Set Reduction for k-Nearest Neighbor.
ISNN (2) 2007: 880-888 |
| 39 | EE | Hyoungjoo Lee,
Sungzoon Cho:
Retraining a keystroke dynamics-based authenticator with impostor patterns.
Computers & Security 26(4): 300-310 (2007) |
| 38 | EE | Hyoungjoo Lee,
Sungzoon Cho:
Focusing on non-respondents: Response modeling with novelty detectors.
Expert Syst. Appl. 33(2): 522-530 (2007) |
| 37 | EE | Hyunjung Shin,
Sungzoon Cho:
Neighborhood Property-Based Pattern Selection for Support Vector Machines.
Neural Computation 19(3): 816-855 (2007) |
| 2006 |
| 36 | EE | Sungzoon Cho,
Seongseob Hwang:
Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication.
ICB 2006: 626-632 |
| 35 | EE | Hyoungjoo Lee,
Sungzoon Cho:
Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-Based Authentication.
ICB 2006: 633-639 |
| 34 | EE | Ki-seok Sung,
Sungzoon Cho:
GA SVM Wrapper Ensemble for Keystroke Dynamics Authentication.
ICB 2006: 654-660 |
| 33 | EE | Myung Hwan Yun,
Joo Hwan Lee,
Hyoungjoo Lee,
Sungzoon Cho:
Classification of Bluffing Behavior and Affective Attitude from Prefrontal Surface Encephalogram During On-Line Game.
ICB 2006: 706-712 |
| 32 | EE | Pilsung Kang,
Sungzoon Cho:
EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.
ICONIP (1) 2006: 837-846 |
| 31 | EE | Hyoungjoo Lee,
Sungzoon Cho:
The Novelty Detection Approach for Different Degrees of Class Imbalance.
ICONIP (2) 2006: 21-30 |
| 30 | EE | Jiyoung Sun,
Sungzoon Cho:
Pattern Selection for Support Vector Regression based on Sparseness and Variability.
IJCNN 2006: 599-602 |
| 29 | EE | Seungtaek Kim,
Sungzoon Cho:
Prototype based outlier detection.
IJCNN 2006: 820-826 |
| 28 | EE | Dongil Kim,
Sungzoon Cho:
epsilon-Tube Based Pattern Selection for Support Vector Machines.
PAKDD 2006: 215-224 |
| 27 | EE | Pilsung Kang,
Sunghoon Park,
Sungzoon Cho,
Seongseob Hwang,
Hyoungjoo Lee:
The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication.
WISI 2006: 161-162 |
| 26 | EE | Seongseob Hwang,
Hyoungjoo Lee,
Sungzoon Cho:
Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication.
WISI 2006: 73-78 |
| 25 | EE | Enzhe Yu,
Sungzoon Cho:
Constructing response model using ensemble based on feature subset selection.
Expert Syst. Appl. 30(2): 352-360 (2006) |
| 24 | EE | Hyunjung Shin,
Sungzoon Cho:
Response modeling with support vector machines.
Expert Syst. Appl. 30(4): 746-760 (2006) |
| 23 | EE | Hyoungjoo Lee,
Sungzoon Cho:
Application of LVQ to novelty detection using outlier training data.
Pattern Recognition Letters 27(13): 1572-1579 (2006) |
| 2005 |
| 22 | EE | Hyoungjoo Lee,
Sungzoon Cho:
SOM-Based Novelty Detection Using Novel Data.
IDEAL 2005: 359-366 |
| 21 | EE | Hyunjung Shin,
Sungzoon Cho:
Invariance of neighborhood relation under input space to feature space mapping.
Pattern Recognition Letters 26(6): 707-718 (2005) |
| 2004 |
| 20 | EE | Hyoungjoo Lee,
Sungzoon Cho:
Combining Gaussian Mixture Models.
IDEAL 2004: 666-671 |
| 19 | EE | Enzhe Yu,
Sungzoon Cho:
Keystroke dynamics identity verification - its problems and practical solutions.
Computers & Security 23(5): 428-440 (2004) |
| 2003 |
| 18 | EE | Hyunjung Shin,
Sungzoon Cho:
Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis.
IDEAL 2003: 1008-1015 |
| 17 | EE | Enzhe Yu,
Sungzoon Cho:
Novelty Detection Approach for Keystroke Dynamics Identity Verification.
IDEAL 2003: 1016-1023 |
| 16 | EE | Hyunjung Shin,
Sungzoon Cho:
Fast Pattern Selection for Support Vector Classifiers.
PAKDD 2003: 376-387 |
| 2002 |
| 15 | EE | Jinwoo Baek,
Sungzoon Cho:
An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures.
IDEAL 2002: 359-365 |
| 14 | EE | Hyunjung Shin,
Sungzoon Cho:
Pattern Selection for Support Vector Classifiers.
IDEAL 2002: 469-474 |
| 13 | EE | Min Jang,
Sungzoon Cho:
Observational Learning Algorithm for an Ensemble of Neural Networks.
Pattern Anal. Appl. 5(2): 154-167 (2002) |
| 2001 |
| 12 | EE | Sungzoon Cho,
Min Sup Shin:
Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction.
Int. J. Neural Syst. 11(4): 361-369 (2001) |
| 11 | | Shinjae Lee,
Sungzoon Cho:
Smoothed Bagging with Kernel Bandwidth Selectors.
Neural Processing Letters 14(2): 157-168 (2001) |
| 2000 |
| 10 | EE | Hyunjung Shin,
Hyoungjoo Lee,
Sungzoon Cho:
Observational Learning with Modular Networks.
IDEAL 2000: 126-132 |
| 9 | EE | Jinwoo Baek,
Sungzoon Cho:
"Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network.
IDEAL 2000: 286-291 |
| 1998 |
| 8 | | Min Jang,
Sungzoon Cho,
Patrick M. Wong,
Chun Che Fung,
Kok Wai Wong:
Rock Porosity Prediction Using Multilayer Perceptrons.
ICONIP 1998: 1016-1019 |
| 1997 |
| 7 | EE | Carol S. Whitney,
James A. Reggia,
Sungzoon Cho:
Does Rotation of Neuronal Population Vectors Equal Mental Rotation?
Connect. Sci. 9(3): 253-268 (1997) |
| 6 | | Sungzoon Cho,
Min Jang,
Sungjune Chang:
Virtual sample generation using a population of networks.
Neural Processing Letters 5(2): 21-27 (1997) |
| 1996 |
| 5 | | Sungzoon Cho,
Keonhoe Cha:
Evolution of Neural Network Training Set Through Addition of Virtual Samples.
International Conference on Evolutionary Computation 1996: 685-688 |
| 4 | | Sungzoon Cho,
Min Jang,
James A. Reggia:
Effects of Varying Parameters on Properties of Self-Organizing Feature Maps.
Neural Processing Letters 4(1): 53-59 (1996) |
| 1994 |
| 3 | EE | Sungzoon Cho,
James A. Reggia:
Map Formation in Proprioceptive Cortex.
Int. J. Neural Syst. 5(2): 87-101 (1994) |
| 1993 |
| 2 | | Sungzoon Cho,
James A. Reggia:
Multiple disorder diagnosis with adaptive competitive neural networks.
Artificial Intelligence in Medicine 5(6): 469-487 (1993) |
| 1989 |
| 1 | EE | Sungzoon Cho,
Robert M. Haralick,
Seungku Yi:
Improvement of kittler and illingworth's minimum error thresholding.
Pattern Recognition 22(5): 609-617 (1989) |