Sungzoon Cho

Sungzoon Cho, Sung-Gul Hong, Hyungsub Choi, 2012, Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012.

Semi-Supervised Response Modeling

Sungzoon Cho, Hyunjung Shin, Douglas L. MacLachlan, 2010 .

Virtual sample generation using a population of networks

Sungzoon Cho, Min Jang, Sungjune Chang, 2004, Neural Processing Letters.

Obtaining calibrated probability using ROC Binning

Sungzoon Cho, Meesun Sun, Sungzoon Cho, 2018, Pattern Analysis and Applications.

FINDING REMO (RELATED MEMORY OBJECT): A SIMPLE NEURAL ARCHITECTURE pdf

Sungzoon Cho, Hyochang Yang, Jihyung Moon, 2017 .

Abnormal Usage Sequence Detection for Identification of User Needs via Recurrent Neural Network Semantic Variational Autoencoder

Sungzoon Cho, Younghoon Lee, 2020, Int. J. Hum. Comput. Interact..

Product failure prediction with missing data

Sungzoon Cho, Seokho Kang, Eunji Kim, 2018, Int. J. Prod. Res..

An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction

Sungzoon Cho, Pilsung Kang, Seokho Kang, 2015, Expert Syst. Appl..

Novelty Detection Approach for Keystroke Dynamics Identity Verification

Sungzoon Cho, Enzhe Yu, 2003, IDEAL.

Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning

Sungzoon Cho, Yeonkook J. Kim, Bok Baik, 2016, Expert Syst. Appl..

Data based segmentation and summarization for sensor data in semiconductor manufacturing

Sungzoon Cho, Hae-Sang Park, Jooseoung Park, 2014, Expert Syst. Appl..

Graph Based Aspect Extraction and Rating Classification of Customer Review Data

Sungzoon Cho, Hye Jin Lee, Sung Whan Jeon, 2019, DASFAA Workshops.

Map Formation in Proprioceptive Cortex

Sungzoon Cho, James A. Reggia, J. Reggia, 1994, Int. J. Neural Syst..

Reliable prediction of anti-diabetic drug failure using a reject option

Sungzoon Cho, Seokho Kang, Su-jin Rhee, 2017, Pattern Analysis and Applications.

Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-Based Authentication

Hyoungjoo Lee, Sungzoon Cho, 2006, ICB.

GA SVM Wrapper Ensemble for Keystroke Dynamics Authentication

Sungzoon Cho, Ki-seok Sung, Sungzoon Cho, 2006, ICB.

Mining the relationship between production and customer service data for failure analysis of industrial products

Sungzoon Cho, Seokho Kang, Junhwan Kim, 2017, Comput. Ind. Eng..

Rock Porosity Prediction Using Multilayer Perceptrons

Sungzoon Cho, Lance Chun Che Fung, Kevin Kok Wai Wong, 1998, ICONIP.

Continual Retraining of Keystroke Dynamics Based Authenticator

Sungzoon Cho, Pilsung Kang, Seong-seob Hwang, 2007, ICB.

Learning Competition and Cooperation

Sungzoon Cho, James A. Reggia, J. Reggia, 1993, Neural Computation.

Constructing response model using ensemble based on feature subset selection

Sungzoon Cho, Enzhe Yu, Sungzoon Cho, 2006, Expert Syst. Appl..

Determining user needs through abnormality detection and heterogeneous embedding of usage sequence

Sungzoon Cho, Younghoon Lee, Jinhae Choi, 2019 .

Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning

Sungzoon Cho, Jinwon An, 2020, IEEE Access.

Pattern Selection for Support Vector Regression using Expected Margin

Sungzoon Cho, Dongil Kim, 2010 .

Bootstrap Based Pattern Selection for Support Vector Regression

Sungzoon Cho, Dongil Kim, 2008, PAKDD.

Improvement of keystroke data quality through artificial rhythms and cues

Hyoungjoo Lee, Sungzoon Cho, Pilsung Kang, 2008, Comput. Secur..

Knowledge discovery in inspection reports of marine structures

Sungzoon Cho, Jooseoung Park, Seokho Kang, 2014, Expert Syst. Appl..

Multi-class classification via heterogeneous ensemble of one-class classifiers

Sungzoon Cho, Pilsung Kang, Seokho Kang, 2015, Eng. Appl. Artif. Intell..

Invariance of neighborhood relation under input space to feature space mapping

Sungzoon Cho, Hyunjung Shin, Hyunjung Shin, 2005, Pattern Recognit. Lett..

Observational Learning with Modular Networks

Hyoungjoo Lee, Sungzoon Cho, Hyunjung Shin, 2000, IDEAL.

Clustering-Based Reference Set Reduction for k-Nearest Neighbor

Sungzoon Cho, Seongseob Hwang, 2007, ISNN.

SOM-Based Novelty Detection Using Novel Data

Hyoungjoo Lee, Sungzoon Cho, Sungzoon Cho, 2005, IDEAL.

Response modeling with support vector regression

Hyoungjoo Lee, Sungzoon Cho, Dongil Kim, 2008, Expert Syst. Appl..

Extraction of Product Evaluation Factors with a Convolutional Neural Network and Transfer Learning

Sungzoon Cho, Younghoon Lee, Minki Chung, 2019, Neural Processing Letters.

Smartphone user segmentation based on app usage sequence with neural networks

Sungzoon Cho, Younghoon Lee, Jinhae Choi, 2017, Telematics Informatics.

Ensemble based on GA wrapper feature selection

Sungzoon Cho, Enzhe Yu, 2006, Comput. Ind. Eng..

Characteristics of auto-associative MLP as a novelty detector

Sungzoon Cho, Byungho Hwang, Sungzoon Cho, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication

Hyoungjoo Lee, Sungzoon Cho, Seongseob Hwang, 2006, WISI.

Ensemble of Specialized Networks based on Input Space Partition

Sungzoon Cho, Hyunjung Shin, H Lee, 2000 .

Web-Based Keystroke Dynamics Identity Verification Using Neural Network

Sungzoon Cho, Hyung-Il Kim, Chigeun Han, 2000, J. Organ. Comput. Electron. Commer..

Automatic classification of securities using hierarchical clustering of the 10-Ks

Sungzoon Cho, Hye Jin Lee, Hoseong Yang, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Keystroke dynamics identity verification - its problems and practical solutions

Sungzoon Cho, Enzhe Yu, 2004, Comput. Secur..

Pattern Selection for Support Vector Classifiers

Sungzoon Cho, Hyunjung Shin, Hyunjung Shin, 2002, IDEAL.

Improvement of virtual metrology performance by removing metrology noises in a training dataset

Sungzoon Cho, Pilsung Kang, Dongil Kim, 2015, Pattern Analysis and Applications.

A computational model of proprioceptive maps

Sungzoon Cho, James A. Reggia, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Pattern selection for support vector regression based response modeling

Sungzoon Cho, Dongil Kim, 2012, Expert Syst. Appl..

Building industry network based on business text: Corporate disclosures and news

Sungzoon Cho, Hye Jin Lee, Sung Whan Jeon, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing

Hyoungjoo Lee, Sungzoon Cho, Pilsung Kang, 2012, Expert Syst. Appl..

A hybrid neural-network/mathematical prediction model for tandem cold mill

Sungzoon Cho, Min Jang, Sungcheol Yoon, 1997 .

Trend detection using auto-associative neural networks: Intraday KOSPI 200 futures

Sungzoon Cho, Jun-Myung Lee, Jinwoo Baek, 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry

Sungzoon Cho, Bongseok Kim, Seung-kyung Lee, 2013, Expert Syst. Appl..

"Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network

Sungzoon Cho, Jinwoo Baek, 2000, IDEAL.

Applying convolution filter to matrix of word-clustering based document representation

Sungzoon Cho, Jinbae Im, Younghoon Lee, 2018, Neurocomputing.

Smartphone help contents re-organization considering user specification via conditional GAN

Sungzoon Cho, Younghoon Lee, Jinhae Choi, 2019, Int. J. Hum. Comput. Stud..

User authentication based on keystroke analysis of long free texts with a reduced number of features

Sungzoon Cho, Jooseoung Park, Sunghoon Park, 2010, 2010 Second International Conference on Communication Systems, Networks and Applications.

Combining Gaussian Mixture Models

Hyoungjoo Lee, Sungzoon Cho, Sungzoon Cho, 2004, IDEAL.

EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems

Sungzoon Cho, Pilsung Kang, Sungzoon Cho, 2006, ICONIP.

Design of Semantic-Based Colorization of Graphical User Interface Through Conditional Generative Adversarial Nets

Sungzoon Cho, Younghoon Lee, Sungzoon Cho, 2019, Int. J. Hum. Comput. Interact..

The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication

Hyoungjoo Lee, Sungzoon Cho, Pilsung Kang, 2006, WISI.

Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach

Sungzoon Cho, Pilsung Kang, Dongil Kim, 2014, Pattern Analysis and Applications.

[C2 인공지능 응용(1)] k-NN based Pattern Selection for Support Vector Classifiers

Sungzoon Cho, Hyunjung Shin, 2002 .

Virtual metrology for run-to-run control in semiconductor manufacturing

Hyoungjoo Lee, Sungzoon Cho, Pilsung Kang, 2011, Expert Syst. Appl..

Box-office forecasting based on sentiments of movie reviews and Independent subspace method

Sungzoon Cho, Pilsung Kang, Minhoe Hur, 2016, Inf. Sci..

Ensemble learning using observational learning theory

Sungzoon Cho, Min Jang, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Generalization Abilities of Ensemble Learning Algorithms

Sungzoon Cho, Hyunjung Shin, M Jang, 2000 .

Document representation based on probabilistic word clustering in customer-voice classification

Sungzoon Cho, Younghoon Lee, Jinhae Choi, 2018, Pattern Analysis and Applications.

Evolution of neural network training set through addition of virtual samples

Sungzoon Cho, Keonhoe Cha, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Approach to Detect Account Sharing using Keystroke Dynamics Analysis

Sungzoon Cho, Hyoung-joo Lee, Seong-seob Hwang, 2008 .

De-noising documents with a novelty detection method utilizing class vectors

Sungzoon Cho, Younghoon Lee, Jinhae Choi, 2018, Intell. Data Anal..

Response models based on bagging neural networks

Sungzoon Cho, Douglas L. MacLachlan, Kyoungnam Ha, 2005 .

Keystroke dynamics-based authentication for mobile devices

Sungzoon Cho, Seongseob Hwang, Sunghoon Park, 2009, Comput. Secur..

Optimal construction of one-against-one classifier based on meta-learning

Sungzoon Cho, Seokho Kang, Sungzoon Cho, 2015, Neurocomputing.

Two-Phase KNN on Sub-Trajectory Similarity for Efficient Ballistic Launching Point Estimation

Sungzoon Cho, Soojin Kim, Hyunjoong Kim, 2012, ICDM.

Fast Pattern Selection for Support Vector Classifiers

Sungzoon Cho, Hyunjung Shin, Hyunjung Shin, 2002, PAKDD.

Multiple disorder diagnosis with adaptive competitive neural networks

Sungzoon Cho, James A. Reggia, J. Reggia, 1993, Artif. Intell. Medicine.

Constructing belief networks from realistic data

Sungzoon Cho, Yun Peng, Zonglin Zhou, 1999 .

Balancing Bias and Variance by Ensemble Models based on GA Wrapper Feature Selection

Sungzoon Cho, Enzhe Yu, 2005 .

CRAM: Clued Recurrent Attention Model pdf

Sungzoon Cho, Minki Chung, 2018, ArXiv.

A novel multi-class classification algorithm based on one-class support vector machine

Sungzoon Cho, Seokho Kang, 2015, Intell. Data Anal..

Selecting an optimal set of keyword for search engine advertising

Sungzoon Cho, Hongtae Kim, Minhoe Hur, 2015 .

Analysis of Novelty Detection Properties of Autoassociative MLP

Sungzoon Cho, Hyoung-joo Lee, Byung-ho Hwang, 2002 .

Development of a Virtual Model House System

Sungzoon Cho, Seung-Ho Choi, Bum-Joo Lee, 2000 .

Retraining a keystroke dynamics-based authenticator with impostor patterns

Hyoungjoo Lee, Sungzoon Cho, Sungzoon Cho, 2007, Comput. Secur..

Variational Autoencoder based Anomaly Detection using Reconstruction Probability

Sungzoon Cho, Jinwon An, Sungzoon Cho, 2015 .

An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures

Sungzoon Cho, Jinwoo Baek, 2002, IDEAL.

Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data

Sungzoon Cho, Je Hyuk Lee, Taehoon Ko, 2017, Ind. Manag. Data Syst..

Review and Analysis of Recommender Systems

Sungzoon Cho, Seoung Bum Kim, Jieun Son, 2015 .

Does Rotation of Neuronal Population Vectors Equal Mental Rotation?

Sungzoon Cho, James A. Reggia, Carol S. Whitney, 1997, Connect. Sci..

Knowledge extraction and visualization of digital design process

Sungzoon Cho, Jiwon Yang, Eunji Kim, 2018, Expert Syst. Appl..

Extraction and prioritization of product attributes using an explainable neural network

Sungzoon Cho, Younghoon Lee, Jungmin Park, 2020, Pattern Analysis and Applications.

Belt speed control in a sintering plant using neural networks

Sungzoon Cho, Shinjae Lee, Min Jang, 1998 .

The Novelty Detection Approach for Different Degrees of Class Imbalance

Hyoungjoo Lee, Sungzoon Cho, Sungzoon Cho, 2006, ICONIP.

Bankruptcy prediction for credit risk using an auto-associative neural network in Korean firms

Sungzoon Cho, Jinwoo Baek, 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

App usage prediction for dual display device via two-phase sequence modeling

Sungzoon Cho, Jinhae Choi, Younghoon Lee, 2019, Pervasive Mob. Comput..

Data mining problems and solutions for response modeling in CRM

Sungzoon Cho, Hyunjung Shin, Douglas L. MacLachlan, 2006 .

Keystroke dynamics-based user authentication using long and free text strings from various input devices

Sungzoon Cho, Pilsung Kang, Sungzoon Cho, 2015, Inf. Sci..

Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction

Sungzoon Cho, Min Sup Shin, Sungzoon Cho, 2001, Int. J. Neural Syst..

Constructing a multi-class classifier using one-against-one approach with different binary classifiers

Sungzoon Cho, Pilsung Kang, Seokho Kang, 2015, Neurocomputing.

Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks

Sungzoon Cho, Jae Woo Lee, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Learning visual coordinate transformations with competition

Sungzoon Cho, James A. Reggia, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection

Hyoungjoo Lee, Sungzoon Cho, Min Sup Shin, 2008, Artif. Intell. Medicine.

Pattern Selection for Support Vector Regression based on Sparseness and Variability

Sungzoon Cho, Jiyoung Sun, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Virtual metrology for copper-clad laminate manufacturing

Sungzoon Cho, Seokho Kang, Misuk Kim, 2017, Comput. Ind. Eng..

Effects of varying parameters on properties of self-organizing feature maps

Sungzoon Cho, James A. Reggia, Min Jang, 1996, Neural Processing Letters.

Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis

Sungzoon Cho, Hyunjung Shin, Hyunjung Shin, 2003, IDEAL.

Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels

Sungzoon Cho, Pilsung Kang, Eunjeong Lucy Park, 2019, IEEE Access.

Ranking process parameter association with low yield wafers using spec-out event network analysis

Sungzoon Cho, Hae-Sang Park, Seokho Kang, 2017, Comput. Ind. Eng..

Estimating the Reliability of Virtual Metrology Predictions in Semiconductor Manufacturing : A Novelty Detection-based Approach

Sungzoon Cho, Pilsung Kang, Dongil Kim, 2012 .

Data selection based on Bayesian error bar

Sungzoon Cho, Seungjin Choi, P. M. Wong, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks

Sungzoon Cho, Jinwon An, Sungzoon Cho, 2016, 2016 International Conference on Big Data and Smart Computing (BigComp).

Facility Anomaly Detection with Gaussian Mixture Model

Sungzoon Cho, Sung-Hoon Park, Hank Kim, 2016 .

KR-WordRank : An Unsupervised Korean Word Extraction Method Based on WordRank

Sungzoon Cho, Pilsung Kang, Hyunjoong Kim, 2014 .

Prototype based outlier detection

Sungzoon Cho, Seungtaek Kim, Sungzoon Cho, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A Study on User Authentication based on Keystroke Dynamics of Long and Free Texts

Sungzoon Cho, Pilsung Kang, Sungzoon Cho, 2012 .

Approximating support vector machine with artificial neural network for fast prediction

Sungzoon Cho, Seokho Kang, 2014, Expert Syst. Appl..

Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication

Sungzoon Cho, Seongseob Hwang, 2006, ICB.

Locally linear reconstruction for instance-based learning

Sungzoon Cho, Pilsung Kang, Sungzoon Cho, 2008, Pattern Recognit..

Memory Die Clustering and Matching for Optimal Voltage Window in Semiconductor

Sungzoon Cho, Seokho Kang, Yongwon Park, 2015, IEEE Transactions on Semiconductor Manufacturing.

A hybrid novelty score and its use in keystroke dynamics-based user authentication

Sungzoon Cho, Pilsung Kang, Sungzoon Cho, 2009, Pattern Recognit..

SARN: Relational Reasoning through Sequential Attention pdf

Sungzoon Cho, Sungwon Lyu, Jinwon An, 2018, ArXiv.

epsilon-Tube Based Pattern Selection for Support Vector Machines

Sungzoon Cho, Dongil Kim, 2006, PAKDD.

Kernel Rotation Forests for Classification

Sungzoon Cho, Jaewoong Shim, Seokho Kang, 2020, 2020 IEEE International Conference on Big Data and Smart Computing (BigComp).

Improvement of Roll Force Prediction Accuracy in Cold Mill using a Corrective Neural Networks

Sungzoon Cho, Min Jang, Sungcheol Yoon, 1996 .

Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System

Sungzoon Cho, Sungwon Lyu, Jeeyung Kim, 2019, AAAI.

Bag-of-concepts: Comprehending document representation through clustering words in distributed representation

Sungzoon Cho, Hyunjoong Kim, Han Kyul Kim, 2017, Neurocomputing.

Ensemble learning using observational learning theory

Sungzoon Cho, Min Jang, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Active Learning of Convolutional Neural Network for Cost-Effective Wafer Map Pattern Classification

Sungzoon Cho, Seokho Kang, Jaewoong Shim, 2020, IEEE Transactions on Semiconductor Manufacturing.

Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing

Sungzoon Cho, Pilsung Kang, Dongil Kim, 2016, Expert Syst. Appl..

Call for papers

Sungzoon Cho, Xiang Li, Chen-Fu Chien, 2014 .

Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling

Sungzoon Cho, Han Kyul Kim, Hyun-Joong Kim, 2020, Expert Syst. Appl..

Improved response modeling based on clustering, under-sampling, and ensemble

Sungzoon Cho, Pilsung Kang, Douglas L. MacLachlan, 2012, Expert Syst. Appl..

Constructing belief networks from realistic data

Sungzoon Cho, Yun Peng, Zonglin Zhou, 1999, Int. J. Intell. Syst..

Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication

Sungzoon Cho, Seong-seob Hwang, Hyoung-joo Lee, 2009, Expert Syst. Appl..

Classification of Bluffing Behavior and Affective Attitude from Prefrontal Surface Encephalogram During On-Line Game

Hyoungjoo Lee, Sungzoon Cho, Myung Hwan Yun, 2006, ICB.

Support Vector Machines를 위한 마진 예측 기반 학습 패턴 선택

Sungzoon Cho, Seokho Kang, Dongil Kim, 2016 .

Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application

Sungzoon Cho, Jooseoung Park, Misuk Kim, 2019, Comput. Ind. Eng..

Efficient Feature Selection-Based on Random Forward Search for Virtual Metrology Modeling

Sungzoon Cho, Dongil Kim, Seokho Kang, 2016, IEEE Transactions on Semiconductor Manufacturing.

Expected margin-based pattern selection for support vector machines

Sungzoon Cho, Dongil Kim, Seokho Kang, 2020, Expert Syst. Appl..

Active cluster annotation for wafer map pattern classification in semiconductor manufacturing

Sungzoon Cho, Jaewoong Shim, Seokho Kang, 2021, Expert Syst. Appl..

Abuse detection in healthcare insurance with disease-treatment network embedding

Sungzoon Cho, Jehyuk Lee, 2021, J. Biomed. Informatics.

Adaptive fault detection framework for recipe transition in semiconductor manufacturing

Sungzoon Cho, Suho Jeong, Jaewoong Shim, 2021, Comput. Ind. Eng..

Active inspection for cost-effective fault prediction in manufacturing process

Sungzoon Cho, Jaewoong Shim, Seokho Kang, 2021 .

Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors

Sungzoon Cho, Eunji Kim, 2021, IEEE Access.

Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph pdf

Sungzoon Cho, Sung Hwan Jeon, Sungzoon Cho, 2021, ArXiv.

A scoring model to detect abusive medical institutions based on patient classification system: Diagnosis-related group and ambulatory patient group

Sungzoon Cho, Hunsik Shin, Jehyuk Lee, 2021, J. Biomed. Informatics.

Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words pdf

Sungzoon Cho, Jihye Park, Hye Jin Lee, 2021, ArXiv.

How many neighbors to consider in pattern pre-selection for support vector classifiers?

Sungzoon Cho, Hyunjung Shin, Hyunjung Shin, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Biometrics-based Password Identity Verification : Some Practical Issues and Solutions

Sungzoon Cho, Enzhe Yu, .

Stratified Sampling Design Based on Data Mining

Sungzoon Cho, Hayoung Park, Sungzoon Cho, 2013, Healthcare informatics research.