Sungzoon Cho

According to our database1, Sungzoon Cho authored at least 134 papers between 1989 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
User segmentation via interpretable user representation and relative similarity-based segmentation method.
Multim. Syst., 2021

A scoring model to detect abusive medical institutions based on patient classification system: Diagnosis-related group and ambulatory patient group.
J. Biomed. Informatics, 2021

Abuse detection in healthcare insurance with disease-treatment network embedding.
J. Biomed. Informatics, 2021

Active cluster annotation for wafer map pattern classification in semiconductor manufacturing.
Expert Syst. Appl., 2021

Determining user needs through abnormality detection and heterogeneous embedding of usage sequence.
Electron. Commer. Res., 2021

Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph.
CoRR, 2021

Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words.
CoRR, 2021

Adaptive fault detection framework for recipe transition in semiconductor manufacturing.
Comput. Ind. Eng., 2021

Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors.
IEEE Access, 2021

2020
Extraction and prioritization of product attributes using an explainable neural network.
Pattern Anal. Appl., 2020

A medical treatment based scoring model to detect abusive institutions.
J. Biomed. Informatics, 2020

Design of Semantic-Based Colorization of Graphical User Interface Through Conditional Generative Adversarial Nets.
Int. J. Hum. Comput. Interact., 2020

Abnormal Usage Sequence Detection for Identification of User Needs via Recurrent Neural Network Semantic Variational Autoencoder.
Int. J. Hum. Comput. Interact., 2020

Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling.
Expert Syst. Appl., 2020

Expected margin-based pattern selection for support vector machines.
Expert Syst. Appl., 2020

Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning.
IEEE Access, 2020

Kernel Rotation Forests for Classification.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019
App usage prediction for dual display device via two-phase sequence modeling.
Pervasive Mob. Comput., 2019

Document representation based on probabilistic word clustering in customer-voice classification.
Pattern Anal. Appl., 2019

Extraction of Product Evaluation Factors with a Convolutional Neural Network and Transfer Learning.
Neural Process. Lett., 2019

Smartphone help contents re-organization considering user specification via conditional GAN.
Int. J. Hum. Comput. Stud., 2019

Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning.
Expert Syst. Appl., 2019

Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application.
Comput. Ind. Eng., 2019

Approximate training of one-class support vector machines using expected margin.
Comput. Ind. Eng., 2019

Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels.
IEEE Access, 2019

Graph Based Aspect Extraction and Rating Classification of Customer Review Data.
Proceedings of the Database Systems for Advanced Applications, 2019

Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Smartphone user segmentation based on app usage sequence with neural networks.
Telematics Informatics, 2018

Obtaining calibrated probability using ROC Binning.
Pattern Anal. Appl., 2018

Product failure prediction with missing data.
Int. J. Prod. Res., 2018

Applying convolution filter to matrix of word-clustering based document representation.
Neurocomputing, 2018

De-noising documents with a novelty detection method utilizing class vectors.
Intell. Data Anal., 2018

Stock price prediction through sentiment analysis of corporate disclosures using distributed representation.
Intell. Data Anal., 2018

Knowledge extraction and visualization of digital design process.
Expert Syst. Appl., 2018

SARN: Relational Reasoning through Sequential Attention.
CoRR, 2018

CRAM: Clued Recurrent Attention Model.
CoRR, 2018

Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning.
CoRR, 2018

2017
Reliable prediction of anti-diabetic drug failure using a reject option.
Pattern Anal. Appl., 2017

Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data.
Ind. Manag. Data Syst., 2017

Bag-of-concepts: Comprehending document representation through clustering words in distributed representation.
Neurocomputing, 2017

Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things.
CoRR, 2017

Distance-based Self-Attention Network for Natural Language Inference.
CoRR, 2017

Ranking process parameter association with low yield wafers using spec-out event network analysis.
Comput. Ind. Eng., 2017

Virtual metrology for copper-clad laminate manufacturing.
Comput. Ind. Eng., 2017

Mining the relationship between production and customer service data for failure analysis of industrial products.
Comput. Ind. Eng., 2017

Building industry network based on business text: Corporate disclosures and news.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Box-office forecasting based on sentiments of movie reviews and Independent subspace method.
Inf. Sci., 2016

Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning.
Expert Syst. Appl., 2016

Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing.
Expert Syst. Appl., 2016

Automatic classification of securities using hierarchical clustering of the 10-Ks.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

2015
Improvement of virtual metrology performance by removing metrology noises in a training dataset.
Pattern Anal. Appl., 2015

A study on the man-hour prediction system for shipbuilding.
J. Intell. Manuf., 2015

Keystroke dynamics-based user authentication using long and free text strings from various input devices.
Inf. Sci., 2015

Constructing a multi-class classifier using one-against-one approach with different binary classifiers.
Neurocomputing, 2015

Optimal construction of one-against-one classifier based on meta-learning.
Neurocomputing, 2015

A novel multi-class classification algorithm based on one-class support vector machine.
Intell. Data Anal., 2015

An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction.
Expert Syst. Appl., 2015

Multi-class classification via heterogeneous ensemble of one-class classifiers.
Eng. Appl. Artif. Intell., 2015

2014
Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach.
Pattern Anal. Appl., 2014

Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing.
Neurocomputing, 2014

Data based segmentation and summarization for sensor data in semiconductor manufacturing.
Expert Syst. Appl., 2014

Knowledge discovery in inspection reports of marine structures.
Expert Syst. Appl., 2014

Approximating support vector machine with artificial neural network for fast prediction.
Expert Syst. Appl., 2014

Multivariate Control Charts Based on Hybrid Novelty Scores.
Commun. Stat. Simul. Comput., 2014

2013
Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry.
Expert Syst. Appl., 2013

2012
Support vector class description (SVCD): Classification in kernel space.
Intell. Data Anal., 2012

Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing.
Expert Syst. Appl., 2012

Pattern selection for support vector regression based response modeling.
Expert Syst. Appl., 2012

Improved response modeling based on clustering, under-sampling, and ensemble.
Expert Syst. Appl., 2012

Two-Phase KNN on Sub-Trajectory Similarity for Efficient Ballistic Launching Point Estimation.
Proceedings of the Advances in Data Mining. 12th Industrial Conference, 2012

2011
Virtual metrology for run-to-run control in semiconductor manufacturing.
Expert Syst. Appl., 2011

2009
A hybrid novelty score and its use in keystroke dynamics-based user authentication.
Pattern Recognit., 2009

Account-Sharing Detection Through Keystroke Dynamics Analysis.
Int. J. Electron. Commer., 2009

A virtual metrology system for semiconductor manufacturing.
Expert Syst. Appl., 2009

Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication.
Expert Syst. Appl., 2009

Keystroke dynamics-based authentication for mobile devices.
Comput. Secur., 2009

<i>K</i>-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008
Locally linear reconstruction for instance-based learning.
Pattern Recognit., 2008

Response modeling with support vector regression.
Expert Syst. Appl., 2008

Improvement of keystroke data quality through artificial rhythms and cues.
Comput. Secur., 2008

Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection.
Artif. Intell. Medicine, 2008

Bootstrap Based Pattern Selection for Support Vector Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007
Neighborhood Property-Based Pattern Selection for Support Vector Machines.
Neural Comput., 2007

Focusing on non-respondents: Response modeling with novelty detectors.
Expert Syst. Appl., 2007

Retraining a keystroke dynamics-based authenticator with impostor patterns.
Comput. Secur., 2007

Clustering-Based Reference Set Reduction for k-Nearest Neighbor.
Proceedings of the Advances in Neural Networks, 2007

Continual Retraining of Keystroke Dynamics Based Authenticator.
Proceedings of the Advances in Biometrics, International Conference, 2007

2006
Application of LVQ to novelty detection using outlier training data.
Pattern Recognit. Lett., 2006

Constructing response model using ensemble based on feature subset selection.
Expert Syst. Appl., 2006

Response modeling with support vector machines.
Expert Syst. Appl., 2006

Ensemble based on GA wrapper feature selection.
Comput. Ind. Eng., 2006

The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

epsilon-Tube Based Pattern Selection for Support Vector Machines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Pattern Selection for Support Vector Regression based on Sparseness and Variability.
Proceedings of the International Joint Conference on Neural Networks, 2006

Prototype based outlier detection.
Proceedings of the International Joint Conference on Neural Networks, 2006

The Novelty Detection Approach for Different Degrees of Class Imbalance.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Classification of Bluffing Behavior and Affective Attitude from Prefrontal Surface Encephalogram During On-Line Game.
Proceedings of the Advances in Biometrics, International Conference, 2006

GA SVM Wrapper Ensemble for Keystroke Dynamics Authentication.
Proceedings of the Advances in Biometrics, International Conference, 2006

Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-Based Authentication.
Proceedings of the Advances in Biometrics, International Conference, 2006

Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication.
Proceedings of the Advances in Biometrics, International Conference, 2006

2005
Invariance of neighborhood relation under input space to feature space mapping.
Pattern Recognit. Lett., 2005

SOM-Based Novelty Detection Using Novel Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004
Keystroke dynamics identity verification - its problems and practical solutions.
Comput. Secur., 2004

Combining Gaussian Mixture Models.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
Fast Pattern Selection for Support Vector Classifiers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Novelty Detection Approach for Keystroke Dynamics Identity Verification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Trend detection using auto-associative neural networks: Intraday KOSPI 200 futures.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

Bankruptcy prediction for credit risk using an auto-associative neural network in Korean firms.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

2002
Observational Learning Algorithm for an Ensemble of Neural Networks.
Pattern Anal. Appl., 2002

Pattern Selection for Support Vector Classifiers.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001
Smoothed Bagging with Kernel Bandwidth Selectors.
Neural Process. Lett., 2001

Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction.
Int. J. Neural Syst., 2001

2000
Web-Based Keystroke Dynamics Identity Verification Using Neural Network.
J. Organ. Comput. Electron. Commer., 2000

Observational Learning with Modular Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

"Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999
Constructing belief networks from realistic data.
Int. J. Intell. Syst., 1999

Ensemble learning using observational learning theory.
Proceedings of the International Joint Conference Neural Networks, 1999

Characteristics of auto-associative MLP as a novelty detector.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Rock Porosity Prediction Using Multilayer Perceptrons.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Reliable roll force prediction in cold mill using multiple neural networks.
IEEE Trans. Neural Networks, 1997

Virtual sample generation using a population of networks.
Neural Process. Lett., 1997

Does Rotation of Neuronal Population Vectors Equal Mental Rotation?
Connect. Sci., 1997

Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Effects of Varying Parameters on Properties of Self-Organizing Feature Maps.
Neural Process. Lett., 1996

Evolution of Neural Network Training Set Through Addition of Virtual Samples.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1994
Map Formation in Proprioceptive Cortex.
Int. J. Neural Syst., 1994

1993
Learning Competition and Cooperation.
Neural Comput., 1993

Multiple disorder diagnosis with adaptive competitive neural networks.
Artif. Intell. Medicine, 1993

1989
Improvement of kittler and illingworth's minimum error thresholding.
Pattern Recognit., 1989


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