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2020 – today
- 2024
[j97]Min Choi
, Hye Jin Lee, Soh Hyung Park, Sung Whan Jeon, Sungzoon Cho:
Stock price momentum modeling using social media data. Expert Syst. Appl. 237(Part C): 121589 (2024)- [j96]Sung Hwan Jeon, Hye Jin Lee, Jihye Park, Sungzoon Cho:
Building knowledge graphs from technical documents using named entity recognition and edge weight updating neural network with triplet loss for entity normalization. Intell. Data Anal. 28(1): 331-355 (2024) - [i11]Yeongjae Cho, Taehee Kim, Heejun Shin, Sungzoon Cho, Dongmyung Shin:
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays. CoRR abs/2402.08966 (2024) - [i10]Jinseok Kim, Jaewon Jung, Sangyeop Kim, Sohyung Park, Sungzoon Cho:
Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders. CoRR abs/2407.06851 (2024) - [i9]Jeonglyul Oh, Sungzoon Cho:
Measuring Recency Bias In Sequential Recommendation Systems. CoRR abs/2409.09722 (2024) - 2023
- [j95]Jihye Park, Hye Jin Lee, Sungzoon Cho:
Hot topic detection in central bankers' speeches. Expert Syst. Appl. 230: 120563 (2023) - [j94]Hunsik Shin, Hye Jin Lee, Sungzoon Cho:
General-use unsupervised keyword extraction model for keyword analysis. Expert Syst. Appl. 233: 120889 (2023) - [j93]Jihye Park, Sungzoon Cho:
Incorporation of company-related factual knowledge into pre-trained language models for stock-related spam tweet filtering. Expert Syst. Appl. 234: 121021 (2023) - [j92]Sung Hwan Jeon, Sungzoon Cho:
Edge Weight Updating Neural Network for Named Entity Normalization. Neural Process. Lett. 55(5): 5597-5618 (2023) - [j91]Eunji Kim, Jinwon An, Hyunchang Cho, Sungzoon Cho, Byeongeon Lee:
A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing. Data Technol. Appl. 57(3): 397-417 (2023) - [c40]Soh Hyung Park, Byeolyi Yoon, Sungzoon Cho, Myung Hwan Yun, Chul Chung, Chungrae Kim, Seokjun Lee, Seungman Kim:
A Product and Service Design Framework for Autonomous Vehicle: Identifying and Systematizing User Needs via Graph-Based Social Media Analysis and Activity Theory. ITSC 2023: 4195-4200 - [c39]Junho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho:
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection. NeurIPS 2023 - [i8]Junho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho:
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection. CoRR abs/2312.02530 (2023) - 2022
- [j90]Jinwon An, Sungzoon Cho, Junseong Bang, Misuk Kim:
Domain-Slot Relationship Modeling Using a Pre-Trained Language Encoder for Multi-Domain Dialogue State Tracking. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2091-2102 (2022) - 2021
- [j89]Eunji Kim, Sungzoon Cho:
Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors. IEEE Access 9: 123493-123503 (2021) - [j88]Jaewoong Shim, Sungzoon Cho, Euiseok Kum, Suho Jeong:
Adaptive fault detection framework for recipe transition in semiconductor manufacturing. Comput. Ind. Eng. 161: 107632 (2021) - [j87]Younghoon Lee, Sungzoon Cho, Jinhae Choi:
Determining user needs through abnormality detection and heterogeneous embedding of usage sequence. Electron. Commer. Res. 21(2): 245-261 (2021) - [j86]Jaewoong Shim, Seokho Kang, Sungzoon Cho:
Active cluster annotation for wafer map pattern classification in semiconductor manufacturing. Expert Syst. Appl. 183: 115429 (2021) - [j85]Hunsik Shin, Jehyuk Lee, Yongdae An, Sungzoon Cho:
A scoring model to detect abusive medical institutions based on patient classification system: Diagnosis-related group and ambulatory patient group. J. Biomed. Informatics 117: 103752 (2021) - [j84]Jehyuk Lee, Sungzoon Cho:
Abuse detection in healthcare insurance with disease-treatment network embedding. J. Biomed. Informatics 123: 103936 (2021) - [j83]Younghoon Lee, Sungzoon Cho:
User segmentation via interpretable user representation and relative similarity-based segmentation method. Multim. Syst. 27(1): 61-72 (2021) - [i7]Jihye Park, Hye Jin Lee, Sungzoon Cho:
Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words. CoRR abs/2106.05723 (2021) - [i6]Sung Hwan Jeon, Sungzoon Cho:
Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph. CoRR abs/2106.07549 (2021) - 2020
- [j82]Jinwon An, Sungzoon Cho:
Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning. IEEE Access 8: 200229-200236 (2020) - [j81]Dongil Kim, Seokho Kang, Sungzoon Cho:
Expected margin-based pattern selection for support vector machines. Expert Syst. Appl. 139 (2020) - [j80]Hyunjoong Kim, Han Kyul Kim, Sungzoon Cho:
Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling. Expert Syst. Appl. 150: 113288 (2020) - [j79]Younghoon Lee, Sungzoon Cho:
Abnormal Usage Sequence Detection for Identification of User Needs via Recurrent Neural Network Semantic Variational Autoencoder. Int. J. Hum. Comput. Interact. 36(7): 631-640 (2020) - [j78]Younghoon Lee, Sungzoon Cho:
Design of Semantic-Based Colorization of Graphical User Interface Through Conditional Generative Adversarial Nets. Int. J. Hum. Comput. Interact. 36(8): 699-708 (2020) - [j77]Jehyuk Lee, Hunsik Shin, Sungzoon Cho:
A medical treatment based scoring model to detect abusive institutions. J. Biomed. Informatics 107: 103423 (2020) - [j76]Younghoon Lee, Jungmin Park, Sungzoon Cho:
Extraction and prioritization of product attributes using an explainable neural network. Pattern Anal. Appl. 23(4): 1767-1777 (2020) - [c38]Jaewoong Shim, Seokho Kang, Sungzoon Cho:
Kernel Rotation Forests for Classification. BigComp 2020: 406-409
2010 – 2019
- 2019
- [j75]Eunjeong L. Park, Sungzoon Cho, Pilsung Kang:
Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels. IEEE Access 7: 29051-29064 (2019) - [j74]Hyunjoong Kim, Han Kyul Kim, Misuk Kim, Jooseoung Park, Sungzoon Cho, Keyng Bin Im, Chang Ryeol Ryu:
Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application. Comput. Ind. Eng. 130: 272-281 (2019) - [j73]Seokho Kang, Dongil Kim, Sungzoon Cho:
Approximate training of one-class support vector machines using expected margin. Comput. Ind. Eng. 130: 772-778 (2019) - [j72]Eunji Kim, Jehyuk Lee, Hunsik Shin, Hoseong Yang, Sungzoon Cho, Seung-kwan Nam, Youngmi Song, Jeong-a Yoon, Jong-il Kim:
Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning. Expert Syst. Appl. 128: 214-224 (2019) - [j71]Younghoon Lee, Sungzoon Cho, Jinhae Choi:
Smartphone help contents re-organization considering user specification via conditional GAN. Int. J. Hum. Comput. Stud. 129: 108-115 (2019) - [j70]Younghoon Lee, Minki Chung, Sungzoon Cho, Jinhae Choi:
Extraction of Product Evaluation Factors with a Convolutional Neural Network and Transfer Learning. Neural Process. Lett. 50(1): 149-164 (2019) - [j69]Younghoon Lee, Seokmin Song, Sungzoon Cho, Jinhae Choi:
Document representation based on probabilistic word clustering in customer-voice classification. Pattern Anal. Appl. 22(1): 221-232 (2019) - [j68]Younghoon Lee, Sungzoon Cho, Jinhae Choi:
App usage prediction for dual display device via two-phase sequence modeling. Pervasive Mob. Comput. 58 (2019) - [c37]Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho:
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System. AAAI 2019: 9949-9950 - [c36]Sung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, Sungzoon Cho:
Graph Based Aspect Extraction and Rating Classification of Customer Review Data. DASFAA Workshops 2019: 186-199 - 2018
- [j67]Jiwon Yang, Eunji Kim, Minhoe Hur, Sungzoon Cho, Myungbin Han, Iksang Seo:
Knowledge extraction and visualization of digital design process. Expert Syst. Appl. 92: 206-215 (2018) - [j66]Younghoon Lee, Sungzoon Cho, Jinhae Choi:
De-noising documents with a novelty detection method utilizing class vectors. Intell. Data Anal. 22(4): 717-733 (2018) - [j65]Misuk Kim, Eunjeong Lucy Park, Sungzoon Cho:
Stock price prediction through sentiment analysis of corporate disclosures using distributed representation. Intell. Data Anal. 22(6): 1395-1413 (2018) - [j64]Younghoon Lee, Jinbae Im, Sungzoon Cho, Jinhae Choi:
Applying convolution filter to matrix of word-clustering based document representation. Neurocomputing 315: 210-220 (2018) - [j63]Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho:
Product failure prediction with missing data. Int. J. Prod. Res. 56(14): 4849-4859 (2018) - [j62]Meesun Sun, Sungzoon Cho:
Obtaining calibrated probability using ROC Binning. Pattern Anal. Appl. 21(2): 307-322 (2018) - [j61]Younghoon Lee, Inbeom Park, Sungzoon Cho, Jinhae Choi:
Smartphone user segmentation based on app usage sequence with neural networks. Telematics Informatics 35(2): 329-339 (2018) - [i5]Jihyung Moon, Hyochang Yang, Sungzoon Cho:
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning. CoRR abs/1801.08459 (2018) - [i4]Minki Chung, Sungzoon Cho:
CRAM: Clued Recurrent Attention Model. CoRR abs/1804.10844 (2018) - [i3]Jinwon An, Sungwon Lyu, Sungzoon Cho:
SARN: Relational Reasoning through Sequential Attention. CoRR abs/1811.00246 (2018) - 2017
- [j60]Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho, Wonsang Chang, Junhwan Kim:
Mining the relationship between production and customer service data for failure analysis of industrial products. Comput. Ind. Eng. 106: 137-146 (2017) - [j59]Misuk Kim, Seokho Kang, Jehyuk Lee, Hyunchang Cho, Sungzoon Cho, Jee Su Park:
Virtual metrology for copper-clad laminate manufacturing. Comput. Ind. Eng. 109: 280-287 (2017) - [j58]Jiwon Yang, Seung-kyung Lee, Seokho Kang, Sungzoon Cho, Young-Hak Lee, Hae-Sang Park:
Ranking process parameter association with low yield wafers using spec-out event network analysis. Comput. Ind. Eng. 113: 419-424 (2017) - [j57]Han Kyul Kim, Hyunjoong Kim, Sungzoon Cho:
Bag-of-concepts: Comprehending document representation through clustering words in distributed representation. Neurocomputing 266: 336-352 (2017) - [j56]Taehoon Ko, Je Hyuk Lee, Hyunchang Cho, Sungzoon Cho, Wounjoo Lee, Miji Lee:
Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data. Ind. Manag. Data Syst. 117(5): 927-945 (2017) - [j55]Seokho Kang, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu:
Reliable prediction of anti-diabetic drug failure using a reject option. Pattern Anal. Appl. 20(3): 883-891 (2017) - [c35]Sung Whan Jeon, Hye Jin Lee, Sungzoon Cho:
Building industry network based on business text: Corporate disclosures and news. IEEE BigData 2017: 4696-4704 - [i2]Jinbae Im, Sungzoon Cho:
Distance-based Self-Attention Network for Natural Language Inference. CoRR abs/1712.02047 (2017) - [i1]Dohyung Kim, Hyochang Yang, Minki Chung, Sungzoon Cho:
Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things. CoRR abs/1712.06343 (2017) - 2016
- [j54]Pilsung Kang, Dongil Kim, Sungzoon Cho:
Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing. Expert Syst. Appl. 51: 85-106 (2016) - [j53]Yeonkook J. Kim, Bok Baik, Sungzoon Cho:
Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning. Expert Syst. Appl. 62: 32-43 (2016) - [j52]Minhoe Hur, Pilsung Kang, Sungzoon Cho:
Box-office forecasting based on sentiments of movie reviews and Independent subspace method. Inf. Sci. 372: 608-624 (2016) - [c34]Jinwon An, Sungzoon Cho:
Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks. BigComp 2016: 427-429 - [c33]Hoseong Yang, Hye Jin Lee, Sungzoon Cho, Eugene Cho:
Automatic classification of securities using hierarchical clustering of the 10-Ks. IEEE BigData 2016: 3936-3943 - 2015
- [j51]Seokho Kang, Sungzoon Cho, Pilsung Kang:
Multi-class classification via heterogeneous ensemble of one-class classifiers. Eng. Appl. Artif. Intell. 43: 35-43 (2015) - [j50]Seokho Kang, Pilsung Kang, Taehoon Ko, Sungzoon Cho, Su-jin Rhee, Kyung-Sang Yu:
An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction. Expert Syst. Appl. 42(9): 4265-4273 (2015) - [j49]Seokho Kang, Sungzoon Cho:
A novel multi-class classification algorithm based on one-class support vector machine. Intell. Data Anal. 19(4): 713-725 (2015) - [j48]Seokho Kang, Sungzoon Cho, Pilsung Kang:
Constructing a multi-class classifier using one-against-one approach with different binary classifiers. Neurocomputing 149: 677-682 (2015) - [j47]Seokho Kang, Sungzoon Cho:
Optimal construction of one-against-one classifier based on meta-learning. Neurocomputing 167: 459-466 (2015) - [j46]Pilsung Kang, Sungzoon Cho:
Keystroke dynamics-based user authentication using long and free text strings from various input devices. Inf. Sci. 308: 72-93 (2015) - [j45]Minhoe Hur, Seung-kyung Lee, Bongseok Kim, Sungzoon Cho, Dongha Lee, Daehyung Lee:
A study on the man-hour prediction system for shipbuilding. J. Intell. Manuf. 26(6): 1267-1279 (2015) - [j44]Dongil Kim, Pilsung Kang, Seung-kyung Lee, Seokho Kang, Seungyong Doh, Sungzoon Cho:
Improvement of virtual metrology performance by removing metrology noises in a training dataset. Pattern Anal. Appl. 18(1): 173-189 (2015) - 2014
- [j43]Gulanbaier Tuerhong, Seoung Bum Kim, Pilsung Kang, Sungzoon Cho:
Multivariate Control Charts Based on Hybrid Novelty Scores. Commun. Stat. Simul. Comput. 43(1): 115-131 (2014) - [j42]Seung-kyung Lee, Bongseok Kim, Minhoe Huh, Jooseoung Park, Seokho Kang, Sungzoon Cho, Dongha Lee, Daehyung Lee:
Knowledge discovery in inspection reports of marine structures. Expert Syst. Appl. 41(4): 1153-1167 (2014) - [j41]Eunjeong L. Park, Jooseoung Park, Jiwon Yang, Sungzoon Cho, Young-Hak Lee, Hae-Sang Park:
Data based segmentation and summarization for sensor data in semiconductor manufacturing. Expert Syst. Appl. 41(6): 2619-2629 (2014) - [j40]Seokho Kang, Sungzoon Cho:
Approximating support vector machine with artificial neural network for fast prediction. Expert Syst. Appl. 41(10): 4989-4995 (2014) - [j39]Seung-kyung Lee, Pilsung Kang, Sungzoon Cho:
Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing. Neurocomputing 131: 427-439 (2014) - [j38]Pilsung Kang, Dongil Kim, Sungzoon Cho:
Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach. Pattern Anal. Appl. 17(4): 863-881 (2014) - 2013
- [j37]Seung-kyung Lee, Bongseok Kim, Minhoe Huh, Sungzoon Cho, Sungkyu Park, Daehyung Lee:
Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry. Expert Syst. Appl. 40(1): 83-95 (2013) - 2012
- [j36]Dongil Kim, Pilsung Kang, Sungzoon Cho, Hyoungjoo Lee, Seungyong Doh:
Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing. Expert Syst. Appl. 39(4): 4075-4083 (2012) - [j35]Pilsung Kang, Sungzoon Cho, Douglas L. MacLachlan:
Improved response modeling based on clustering, under-sampling, and ensemble. Expert Syst. Appl. 39(8): 6738-6753 (2012) - [j34]Dongil Kim, Sungzoon Cho:
Pattern selection for support vector regression based response modeling. Expert Syst. Appl. 39(10): 8975-8985 (2012) - [j33]Pilsung Kang, Sungzoon Cho:
Support vector class description (SVCD): Classification in kernel space. Intell. Data Anal. 16(3): 351-364 (2012) - [c32]Hyunjoong Kim, Soojin Kim, Sungzoon Cho:
Two-Phase KNN on Sub-Trajectory Similarity for Efficient Ballistic Launching Point Estimation. ICDM (Poster and Industry Proceedings) 2012: 107-112 - 2011
- [j32]Pilsung Kang, Dongil Kim, Hyoungjoo Lee, Seungyong Doh, Sungzoon Cho:
Virtual metrology for run-to-run control in semiconductor manufacturing. Expert Syst. Appl. 38(3): 2508-2522 (2011)
2000 – 2009
- 2009
- [j31]Seongseob Hwang, Sungzoon Cho, Sunghoon Park:
Keystroke dynamics-based authentication for mobile devices. Comput. Secur. 28(1-2): 85-93 (2009) - [j30]Seongseob Hwang, Hyoungjoo Lee, Sungzoon Cho:
Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication. Expert Syst. Appl. 36(7): 10649-10656 (2009) - [j29]Pilsung Kang, Hyoungjoo Lee, Sungzoon Cho, Dongil Kim, Jinwoo Park, Chan-Kyoo Park, Seungyong Doh:
A virtual metrology system for semiconductor manufacturing. Expert Syst. Appl. 36(10): 12554-12561 (2009) - [j28]Seongseob Hwang, Hyoungjoo Lee, Sungzoon Cho:
Account-Sharing Detection Through Keystroke Dynamics Analysis. Int. J. Electron. Commer. 14(2): 109-126 (2009) - [j27]Pilsung Kang, Sungzoon Cho:
A hybrid novelty score and its use in keystroke dynamics-based user authentication. Pattern Recognit. 42(11): 3115-3127 (2009) - [c31]Pilsung Kang, Sungzoon Cho:
K-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy. IDEAL 2009: 109-117 - 2008
- [j26]Hyoungjoo Lee, Sungzoon Cho, Min Sup Shin:
Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection. Artif. Intell. Medicine 42(3): 199-212 (2008) - [j25]Pilsung Kang, Sunghoon Park, Seongseob Hwang, Hyoungjoo Lee, Sungzoon Cho:
Improvement of keystroke data quality through artificial rhythms and cues. Comput. Secur. 27(1-2): 3-11 (2008) - [j24]Dongil Kim, Hyoungjoo Lee, Sungzoon Cho:
Response modeling with support vector regression. Expert Syst. Appl. 34(2): 1102-1108 (2008) - [j23]Pilsung Kang, Sungzoon Cho:
Locally linear reconstruction for instance-based learning. Pattern Recognit. 41(11): 3507-3518 (2008) - [c30]Dongil Kim, Sungzoon Cho:
Bootstrap Based Pattern Selection for Support Vector Regression. PAKDD 2008: 608-615 - 2007
- [j22]Hyoungjoo Lee, Sungzoon Cho:
Retraining a keystroke dynamics-based authenticator with impostor patterns. Comput. Secur. 26(4): 300-310 (2007) - [j21]Hyoungjoo Lee, Sungzoon Cho:
Focusing on non-respondents: Response modeling with novelty detectors. Expert Syst. Appl. 33(2): 522-530 (2007) - [j20]Hyunjung Shin, Sungzoon Cho:
Neighborhood Property-Based Pattern Selection for Support Vector Machines. Neural Comput. 19(3): 816-855 (2007) - [c29]Pilsung Kang, Seongseob Hwang, Sungzoon Cho:
Continual Retraining of Keystroke Dynamics Based Authenticator. ICB 2007: 1203-1211 - [c28]Seongseob Hwang, Sungzoon Cho:
Clustering-Based Reference Set Reduction for k-Nearest Neighbor. ISNN (2) 2007: 880-888 - 2006
- [j19]Enzhe Yu, Sungzoon Cho:
Ensemble based on GA wrapper feature selection. Comput. Ind. Eng. 51(1): 111-116 (2006) - [j18]Enzhe Yu, Sungzoon Cho:
Constructing response model using ensemble based on feature subset selection. Expert Syst. Appl. 30(2): 352-360 (2006) - [j17]Hyunjung Shin, Sungzoon Cho:
Response modeling with support vector machines. Expert Syst. Appl. 30(4): 746-760 (2006) - [j16]Hyoungjoo Lee, Sungzoon Cho:
Application of LVQ to novelty detection using outlier training data. Pattern Recognit. Lett. 27(13): 1572-1579 (2006) - [c27]Sungzoon Cho, Seongseob Hwang:
Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication. ICB 2006: 626-632 - [c26]Hyoungjoo Lee, Sungzoon Cho:
Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-Based Authentication. ICB 2006: 633-639 - [c25]Ki-seok Sung, Sungzoon Cho:
GA SVM Wrapper Ensemble for Keystroke Dynamics Authentication. ICB 2006: 654-660 - [c24]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 - [c23]Hyoungjoo Lee, Sungzoon Cho:
The Novelty Detection Approach for Different Degrees of Class Imbalance. ICONIP (2) 2006: 21-30 - [c22]Pilsung Kang, Sungzoon Cho:
EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems. ICONIP (1) 2006: 837-846 - [c21]Jiyoung Sun, Sungzoon Cho:
Pattern Selection for Support Vector Regression based on Sparseness and Variability. IJCNN 2006: 599-602 - [c20]Seungtaek Kim, Sungzoon Cho:
Prototype based outlier detection. IJCNN 2006: 820-826 - [c19]Dongil Kim, Sungzoon Cho:
epsilon-Tube Based Pattern Selection for Support Vector Machines. PAKDD 2006: 215-224 - [c18]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 - [c17]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 - 2005
- [j15]Hyunjung Shin, Sungzoon Cho:
Invariance of neighborhood relation under input space to feature space mapping. Pattern Recognit. Lett. 26(6): 707-718 (2005) - [c16]Hyoungjoo Lee, Sungzoon Cho:
SOM-Based Novelty Detection Using Novel Data. IDEAL 2005: 359-366 - 2004
- [j14]Enzhe Yu, Sungzoon Cho:
Keystroke dynamics identity verification - its problems and practical solutions. Comput. Secur. 23(5): 428-440 (2004) - [c15]Hyoungjoo Lee, Sungzoon Cho:
Combining Gaussian Mixture Models. IDEAL 2004: 666-671 - 2003
- [c14]Jinwoo Baek, Sungzoon Cho:
Bankruptcy prediction for credit risk using an auto-associative neural network in Korean firms. CIFEr 2003: 25-29 - [c13]Jun-Myung Lee, Sungzoon Cho, Jinwoo Baek:
Trend detection using auto-associative neural networks: Intraday KOSPI 200 futures. CIFEr 2003: 417-420 - [c12]Hyunjung Shin, Sungzoon Cho:
Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis. IDEAL 2003: 1008-1015 - [c11]Enzhe Yu, Sungzoon Cho:
Novelty Detection Approach for Keystroke Dynamics Identity Verification. IDEAL 2003: 1016-1023 - [c10]Hyunjung Shin, Sungzoon Cho:
Fast Pattern Selection for Support Vector Classifiers. PAKDD 2003: 376-387 - 2002
- [j13]Min Jang, Sungzoon Cho:
Observational Learning Algorithm for an Ensemble of Neural Networks. Pattern Anal. Appl. 5(2): 154-167 (2002) - [c9]Jinwoo Baek, Sungzoon Cho:
An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures. IDEAL 2002: 359-365 - [c8]Hyunjung Shin, Sungzoon Cho:
Pattern Selection for Support Vector Classifiers. IDEAL 2002: 469-474 - 2001
- [j12]Sungzoon Cho, Min Sup Shin:
Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction. Int. J. Neural Syst. 11(4): 361-369 (2001) - [j11]Shinjae Lee, Sungzoon Cho:
Smoothed Bagging with Kernel Bandwidth Selectors. Neural Process. Lett. 14(2): 157-168 (2001) - 2000
- [j10]Sungzoon Cho, Chigeun Han, Dae Hee Han, Hyung-Il Kim:
Web-Based Keystroke Dynamics Identity Verification Using Neural Network. J. Organ. Comput. Electron. Commer. 10(4): 295-307 (2000) - [c7]Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho:
Observational Learning with Modular Networks. IDEAL 2000: 126-132 - [c6]Jinwoo Baek, Sungzoon Cho:
"Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network. IDEAL 2000: 286-291
1990 – 1999
- 1999
- [j9]Yun Peng, Zonglin Zhou, Sungzoon Cho:
Constructing belief networks from realistic data. Int. J. Intell. Syst. 14(7): 671-695 (1999) - [c5]Min Jang, Sungzoon Cho:
Ensemble learning using observational learning theory. IJCNN 1999: 1287-1292 - [c4]Byungho Hwang, Sungzoon Cho:
Characteristics of auto-associative MLP as a novelty detector. IJCNN 1999: 3086-3091 - 1998
- [c3]Min Jang, Sungzoon Cho, Patrick M. Wong, Chun Che Fung, Kok Wai Wong:
Rock Porosity Prediction Using Multilayer Perceptrons. ICONIP 1998: 1016-1019 - 1997
- [j8]Carol S. Whitney, James A. Reggia, Sungzoon Cho:
Does Rotation of Neuronal Population Vectors Equal Mental Rotation? Connect. Sci. 9(3): 253-268 (1997) - [j7]Sungzoon Cho, Min Jang, Sungjune Chang:
Virtual sample generation using a population of networks. Neural Process. Lett. 5(2): 21-27 (1997) - [j6]Sungzoon Cho, Yongjung Cho, Sungchul Yoon:
Reliable roll force prediction in cold mill using multiple neural networks. IEEE Trans. Neural Networks 8(4): 874-882 (1997) - [c2]Jae Woo Lee, Sungzoon Cho:
Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks. ICNN 1997: 2445-2448 - 1996
- [j5]Sungzoon Cho, Min Jang, James A. Reggia:
Effects of Varying Parameters on Properties of Self-Organizing Feature Maps. Neural Process. Lett. 4(1): 53-59 (1996) - [c1]Sungzoon Cho, Keonhoe Cha:
Evolution of Neural Network Training Set Through Addition of Virtual Samples. International Conference on Evolutionary Computation 1996: 685-688 - 1994
- [j4]Sungzoon Cho, James A. Reggia:
Map Formation in Proprioceptive Cortex. Int. J. Neural Syst. 5(2): 87-101 (1994) - 1993
- [j3]Sungzoon Cho, James A. Reggia:
Multiple disorder diagnosis with adaptive competitive neural networks. Artif. Intell. Medicine 5(6): 469-487 (1993) - [j2]Sungzoon Cho, James A. Reggia:
Learning Competition and Cooperation. Neural Comput. 5(2): 242-259 (1993)
1980 – 1989
- 1989
- [j1]Sungzoon Cho, Robert M. Haralick, Seungku Yi:
Improvement of kittler and illingworth's minimum error thresholding. Pattern Recognit. 22(5): 609-617 (1989)
Coauthor Index
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