dblp: Sungzoon Cho
https://dblp.org/pid/60/2556.html
dblp person page RSS feedMon, 14 Oct 2024 23:31:37 +0200en-USdaily1released under the CC0 1.0 licensedblp@dagstuhl.de (dblp team)dblp@dagstuhl.de (dblp team)Computers/Computer_Science/Publications/Bibliographieshttp://www.rssboard.org/rss-specificationhttps://dblp.org/img/logo.144x51.pngdblp: Sungzoon Chohttps://dblp.org/pid/60/2556.html14451Stock price momentum modeling using social media data.https://doi.org/10.1016/j.eswa.2023.121589Min 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)]]>https://dblp.org/rec/journals/eswa/ChoiLPJC24Fri, 01 Mar 2024 00:00:00 +0100Building knowledge graphs from technical documents using named entity recognition and edge weight updating neural network with triplet loss for entity normalization.https://doi.org/10.3233/IDA-227129Sung 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)]]>https://dblp.org/rec/journals/ida/JeonLPC24Mon, 01 Jan 2024 00:00:00 +0100Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays.https://doi.org/10.48550/arXiv.2402.08966Yeongjae Cho, Taehee Kim, Heejun Shin, Sungzoon Cho, Dongmyung Shin: Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays.CoRRabs/2402.08966 (2024)]]>https://dblp.org/rec/journals/corr/abs-2402-08966Mon, 01 Jan 2024 00:00:00 +0100Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders.https://doi.org/10.48550/arXiv.2407.06851Jinseok Kim, Jaewon Jung, Sangyeop Kim, Sohyung Park, Sungzoon Cho: Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders.CoRRabs/2407.06851 (2024)]]>https://dblp.org/rec/journals/corr/abs-2407-06851Mon, 01 Jan 2024 00:00:00 +0100Measuring Recency Bias In Sequential Recommendation Systems.https://doi.org/10.48550/arXiv.2409.09722Jeonglyul Oh, Sungzoon Cho: Measuring Recency Bias In Sequential Recommendation Systems.CoRRabs/2409.09722 (2024)]]>https://dblp.org/rec/journals/corr/abs-2409-09722Mon, 01 Jan 2024 00:00:00 +0100Hot topic detection in central bankers' speeches.https://doi.org/10.1016/j.eswa.2023.120563Jihye Park, Hye Jin Lee, Sungzoon Cho: Hot topic detection in central bankers' speeches.Expert Syst. Appl.230: 120563 (2023)]]>https://dblp.org/rec/journals/eswa/ParkLC23Wed, 01 Nov 2023 00:00:00 +0100General-use unsupervised keyword extraction model for keyword analysis.https://doi.org/10.1016/j.eswa.2023.120889Hunsik Shin, Hye Jin Lee, Sungzoon Cho: General-use unsupervised keyword extraction model for keyword analysis.Expert Syst. Appl.233: 120889 (2023)]]>https://dblp.org/rec/journals/eswa/ShinLC23Fri, 01 Dec 2023 00:00:00 +0100Incorporation of company-related factual knowledge into pre-trained language models for stock-related spam tweet filtering.https://doi.org/10.1016/j.eswa.2023.121021Jihye 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)]]>https://dblp.org/rec/journals/eswa/ParkC23Fri, 01 Dec 2023 00:00:00 +0100Edge Weight Updating Neural Network for Named Entity Normalization.https://doi.org/10.1007/s11063-022-11102-2Sung Hwan Jeon, Sungzoon Cho: Edge Weight Updating Neural Network for Named Entity Normalization.Neural Process. Lett.55(5): 5597-5618 (2023)]]>https://dblp.org/rec/journals/npl/JeonC23Sun, 01 Oct 2023 01:00:00 +0200A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing.https://doi.org/10.1108/DTA-08-2022-0341Eunji 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)]]>https://dblp.org/rec/journals/program/KimACCL23Sun, 01 Jan 2023 00:00:00 +0100A Product and Service Design Framework for Autonomous Vehicle: Identifying and Systematizing User Needs via Graph-Based Social Media Analysis and Activity Theory.https://doi.org/10.1109/ITSC57777.2023.10422371Soh 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.ITSC2023: 4195-4200]]>https://dblp.org/rec/conf/itsc/ParkYCYCKLK23Sun, 01 Jan 2023 00:00:00 +0100MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection.http://papers.nips.cc/paper_files/paper/2023/hash/b4c898eb1fb556b8d871fbe9ead92256-Abstract-Conference.htmlJunho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho: MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection.NeurIPS2023]]>https://dblp.org/rec/conf/nips/SongKOC23Sun, 01 Jan 2023 00:00:00 +0100MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection.https://doi.org/10.48550/arXiv.2312.02530Junho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho: MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection.CoRRabs/2312.02530 (2023)]]>https://dblp.org/rec/journals/corr/abs-2312-02530Sun, 01 Jan 2023 00:00:00 +0100Domain-Slot Relationship Modeling Using a Pre-Trained Language Encoder for Multi-Domain Dialogue State Tracking.https://doi.org/10.1109/TASLP.2022.3181350Jinwon 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)]]>https://dblp.org/rec/journals/taslp/AnCBK22Sat, 01 Jan 2022 00:00:00 +0100Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors.https://doi.org/10.1109/ACCESS.2021.3110859Eunji Kim, Sungzoon Cho: Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors.IEEE Access9: 123493-123503 (2021)]]>https://dblp.org/rec/journals/access/KimC21dFri, 01 Jan 2021 00:00:00 +0100Adaptive fault detection framework for recipe transition in semiconductor manufacturing.https://doi.org/10.1016/j.cie.2021.107632Jaewoong Shim, Sungzoon Cho, Euiseok Kum, Suho Jeong: Adaptive fault detection framework for recipe transition in semiconductor manufacturing.Comput. Ind. Eng.161: 107632 (2021)]]>https://dblp.org/rec/journals/candie/ShimCKJ21Fri, 01 Jan 2021 00:00:00 +0100Determining user needs through abnormality detection and heterogeneous embedding of usage sequence.https://doi.org/10.1007/s10660-019-09347-6Younghoon 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)]]>https://dblp.org/rec/journals/ecr/LeeCC21Fri, 01 Jan 2021 00:00:00 +0100Active cluster annotation for wafer map pattern classification in semiconductor manufacturing.https://doi.org/10.1016/j.eswa.2021.115429Jaewoong Shim, Seokho Kang, Sungzoon Cho: Active cluster annotation for wafer map pattern classification in semiconductor manufacturing.Expert Syst. Appl.183: 115429 (2021)]]>https://dblp.org/rec/journals/eswa/ShimKC21Fri, 01 Jan 2021 00:00:00 +0100A scoring model to detect abusive medical institutions based on patient classification system: Diagnosis-related group and ambulatory patient group.https://doi.org/10.1016/j.jbi.2021.103752Hunsik 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. Informatics117: 103752 (2021)]]>https://dblp.org/rec/journals/jbi/ShinLAC21Fri, 01 Jan 2021 00:00:00 +0100Abuse detection in healthcare insurance with disease-treatment network embedding.https://doi.org/10.1016/j.jbi.2021.103936Jehyuk Lee, Sungzoon Cho: Abuse detection in healthcare insurance with disease-treatment network embedding.J. Biomed. Informatics123: 103936 (2021)]]>https://dblp.org/rec/journals/jbi/LeeC21Fri, 01 Jan 2021 00:00:00 +0100User segmentation via interpretable user representation and relative similarity-based segmentation method.https://doi.org/10.1007/s00530-020-00702-4Younghoon Lee, Sungzoon Cho: User segmentation via interpretable user representation and relative similarity-based segmentation method.Multim. Syst.27(1): 61-72 (2021)]]>https://dblp.org/rec/journals/mms/LeeC21Fri, 01 Jan 2021 00:00:00 +0100Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words.https://arxiv.org/abs/2106.05723Jihye Park, Hye Jin Lee, Sungzoon Cho: Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words.CoRRabs/2106.05723 (2021)]]>https://dblp.org/rec/journals/corr/abs-2106-05723Fri, 01 Jan 2021 00:00:00 +0100Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph.https://arxiv.org/abs/2106.07549Sung Hwan Jeon, Sungzoon Cho: Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph.CoRRabs/2106.07549 (2021)]]>https://dblp.org/rec/journals/corr/abs-2106-07549Fri, 01 Jan 2021 00:00:00 +0100Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning.https://doi.org/10.1109/ACCESS.2020.3035463Jinwon An, Sungzoon Cho: Hierarchical Transformer Encoder With Structured Representation for Abstract Reasoning.IEEE Access8: 200229-200236 (2020)]]>https://dblp.org/rec/journals/access/AnC20Wed, 01 Jan 2020 00:00:00 +0100Expected margin-based pattern selection for support vector machines.https://doi.org/10.1016/j.eswa.2019.112865Dongil Kim, Seokho Kang, Sungzoon Cho: Expected margin-based pattern selection for support vector machines.Expert Syst. Appl.139 (2020)]]>https://dblp.org/rec/journals/eswa/KimKC20Wed, 01 Jan 2020 00:00:00 +0100Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling.https://doi.org/10.1016/j.eswa.2020.113288Hyunjoong 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)]]>https://dblp.org/rec/journals/eswa/KimKC20aWed, 01 Jan 2020 00:00:00 +0100Abnormal Usage Sequence Detection for Identification of User Needs via Recurrent Neural Network Semantic Variational Autoencoder.https://doi.org/10.1080/10447318.2019.1669320Younghoon 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)]]>https://dblp.org/rec/journals/ijhci/LeeC20Wed, 01 Jan 2020 00:00:00 +0100Design of Semantic-Based Colorization of Graphical User Interface Through Conditional Generative Adversarial Nets.https://doi.org/10.1080/10447318.2019.1680921Younghoon 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)]]>https://dblp.org/rec/journals/ijhci/LeeC20aWed, 01 Jan 2020 00:00:00 +0100A medical treatment based scoring model to detect abusive institutions.https://doi.org/10.1016/j.jbi.2020.103423Jehyuk Lee, Hunsik Shin, Sungzoon Cho: A medical treatment based scoring model to detect abusive institutions.J. Biomed. Informatics107: 103423 (2020)]]>https://dblp.org/rec/journals/jbi/LeeSC20Wed, 01 Jan 2020 00:00:00 +0100Extraction and prioritization of product attributes using an explainable neural network.https://doi.org/10.1007/s10044-020-00878-5Younghoon Lee, Jungmin Park, Sungzoon Cho: Extraction and prioritization of product attributes using an explainable neural network.Pattern Anal. Appl.23(4): 1767-1777 (2020)]]>https://dblp.org/rec/journals/paa/LeePC20Wed, 01 Jan 2020 00:00:00 +0100Kernel Rotation Forests for Classification.https://doi.org/10.1109/BigComp48618.2020.00-40Jaewoong Shim, Seokho Kang, Sungzoon Cho: Kernel Rotation Forests for Classification.BigComp2020: 406-409]]>https://dblp.org/rec/conf/bigcomp/ShimKC20Wed, 01 Jan 2020 00:00:00 +0100Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels.https://doi.org/10.1109/ACCESS.2019.2901933Eunjeong L. Park, Sungzoon Cho, Pilsung Kang: Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels.IEEE Access7: 29051-29064 (2019)]]>https://dblp.org/rec/journals/access/ParkCK19Tue, 01 Jan 2019 00:00:00 +0100Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application.https://doi.org/10.1016/j.cie.2019.02.029Hyunjoong 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)]]>https://dblp.org/rec/journals/candie/KimKKPCIR19Tue, 01 Jan 2019 00:00:00 +0100Approximate training of one-class support vector machines using expected margin.https://doi.org/10.1016/j.cie.2019.03.029Seokho Kang, Dongil Kim, Sungzoon Cho: Approximate training of one-class support vector machines using expected margin.Comput. Ind. Eng.130: 772-778 (2019)]]>https://dblp.org/rec/journals/candie/KangKC19Tue, 01 Jan 2019 00:00:00 +0100Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning.https://doi.org/10.1016/j.eswa.2019.03.042Eunji 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)]]>https://dblp.org/rec/journals/eswa/KimLSYCNSYK19Tue, 01 Jan 2019 00:00:00 +0100Smartphone help contents re-organization considering user specification via conditional GAN.https://doi.org/10.1016/j.ijhcs.2019.04.002Younghoon 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)]]>https://dblp.org/rec/journals/ijmms/LeeCC19Tue, 01 Jan 2019 00:00:00 +0100Extraction of Product Evaluation Factors with a Convolutional Neural Network and Transfer Learning.https://doi.org/10.1007/s11063-018-9964-8Younghoon 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)]]>https://dblp.org/rec/journals/npl/LeeCCC19Tue, 01 Jan 2019 00:00:00 +0100Document representation based on probabilistic word clustering in customer-voice classification.https://doi.org/10.1007/s10044-018-00772-1Younghoon 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)]]>https://dblp.org/rec/journals/paa/LeeSCC19Tue, 01 Jan 2019 00:00:00 +0100App usage prediction for dual display device via two-phase sequence modeling.https://doi.org/10.1016/j.pmcj.2019.05.006Younghoon Lee, Sungzoon Cho, Jinhae Choi: App usage prediction for dual display device via two-phase sequence modeling.Pervasive Mob. Comput.58 (2019)]]>https://dblp.org/rec/journals/percom/LeeCC19Tue, 01 Jan 2019 00:00:00 +0100Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System.https://doi.org/10.1609/aaai.v33i01.33019949Younkook Kang, Sungwon Lyu, Jeeyung Kim, Bongjoon Park, Sungzoon Cho: Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System.AAAI2019: 9949-9950]]>https://dblp.org/rec/conf/aaai/KangLKPC19Tue, 01 Jan 2019 00:00:00 +0100Graph Based Aspect Extraction and Rating Classification of Customer Review Data.https://doi.org/10.1007/978-3-030-18590-9_13Sung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, Sungzoon Cho: Graph Based Aspect Extraction and Rating Classification of Customer Review Data.DASFAA Workshops2019: 186-199]]>https://dblp.org/rec/conf/dasfaa/JeonLLC19Tue, 01 Jan 2019 00:00:00 +0100Knowledge extraction and visualization of digital design process.https://doi.org/10.1016/j.eswa.2017.09.002Jiwon 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)]]>https://dblp.org/rec/journals/eswa/YangKHCHS18Mon, 01 Jan 2018 00:00:00 +0100De-noising documents with a novelty detection method utilizing class vectors.https://doi.org/10.3233/IDA-173500Younghoon Lee, Sungzoon Cho, Jinhae Choi: De-noising documents with a novelty detection method utilizing class vectors.Intell. Data Anal.22(4): 717-733 (2018)]]>https://dblp.org/rec/journals/ida/LeeCC18Mon, 01 Jan 2018 00:00:00 +0100Stock price prediction through sentiment analysis of corporate disclosures using distributed representation.https://doi.org/10.3233/IDA-173670Misuk 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)]]>https://dblp.org/rec/journals/ida/KimPC18Mon, 01 Jan 2018 00:00:00 +0100Applying convolution filter to matrix of word-clustering based document representation.https://doi.org/10.1016/j.neucom.2018.07.018Younghoon Lee, Jinbae Im, Sungzoon Cho, Jinhae Choi: Applying convolution filter to matrix of word-clustering based document representation.Neurocomputing315: 210-220 (2018)]]>https://dblp.org/rec/journals/ijon/LeeICC18Mon, 01 Jan 2018 00:00:00 +0100Product failure prediction with missing data.https://doi.org/10.1080/00207543.2017.1407883Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho: Product failure prediction with missing data.Int. J. Prod. Res.56(14): 4849-4859 (2018)]]>https://dblp.org/rec/journals/ijpr/KangKSCC18Mon, 01 Jan 2018 00:00:00 +0100Obtaining calibrated probability using ROC Binning.https://doi.org/10.1007/s10044-016-0578-3Meesun Sun, Sungzoon Cho: Obtaining calibrated probability using ROC Binning.Pattern Anal. Appl.21(2): 307-322 (2018)]]>https://dblp.org/rec/journals/paa/SunC18Mon, 01 Jan 2018 00:00:00 +0100Smartphone user segmentation based on app usage sequence with neural networks.https://doi.org/10.1016/j.tele.2017.12.007Younghoon Lee, Inbeom Park, Sungzoon Cho, Jinhae Choi: Smartphone user segmentation based on app usage sequence with neural networks.Telematics Informatics35(2): 329-339 (2018)]]>https://dblp.org/rec/journals/tele/LeePCC18Mon, 01 Jan 2018 00:00:00 +0100Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning.http://arxiv.org/abs/1801.08459Jihyung Moon, Hyochang Yang, Sungzoon Cho: Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning.CoRRabs/1801.08459 (2018)]]>https://dblp.org/rec/journals/corr/abs-1801-08459Mon, 01 Jan 2018 00:00:00 +0100CRAM: Clued Recurrent Attention Model.http://arxiv.org/abs/1804.10844Minki Chung, Sungzoon Cho: CRAM: Clued Recurrent Attention Model.CoRRabs/1804.10844 (2018)]]>https://dblp.org/rec/journals/corr/abs-1804-10844Mon, 01 Jan 2018 00:00:00 +0100SARN: Relational Reasoning through Sequential Attention.http://arxiv.org/abs/1811.00246Jinwon An, Sungwon Lyu, Sungzoon Cho: SARN: Relational Reasoning through Sequential Attention.CoRRabs/1811.00246 (2018)]]>https://dblp.org/rec/journals/corr/abs-1811-00246Mon, 01 Jan 2018 00:00:00 +0100Mining the relationship between production and customer service data for failure analysis of industrial products.https://doi.org/10.1016/j.cie.2017.01.028Seokho 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)]]>https://dblp.org/rec/journals/candie/KangKSCCK17Sun, 01 Jan 2017 00:00:00 +0100Virtual metrology for copper-clad laminate manufacturing.https://doi.org/10.1016/j.cie.2017.04.016Misuk 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)]]>https://dblp.org/rec/journals/candie/KimKLCCP17Sun, 01 Jan 2017 00:00:00 +0100Ranking process parameter association with low yield wafers using spec-out event network analysis.https://doi.org/10.1016/j.cie.2017.09.036Jiwon 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)]]>https://dblp.org/rec/journals/candie/YangLKCLP17Sun, 01 Jan 2017 00:00:00 +0100Bag-of-concepts: Comprehending document representation through clustering words in distributed representation.https://doi.org/10.1016/j.neucom.2017.05.046Han Kyul Kim, Hyunjoong Kim, Sungzoon Cho: Bag-of-concepts: Comprehending document representation through clustering words in distributed representation.Neurocomputing266: 336-352 (2017)]]>https://dblp.org/rec/journals/ijon/KimKC17Sun, 01 Jan 2017 00:00:00 +0100Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data.https://doi.org/10.1108/IMDS-06-2016-0195Taehoon 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)]]>https://dblp.org/rec/journals/imds/KoLCCLL17Sun, 01 Jan 2017 00:00:00 +0100Reliable prediction of anti-diabetic drug failure using a reject option.https://doi.org/10.1007/s10044-016-0585-4Seokho 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)]]>https://dblp.org/rec/journals/paa/KangCRY17Sun, 01 Jan 2017 00:00:00 +0100Building industry network based on business text: Corporate disclosures and news.https://doi.org/10.1109/BigData.2017.8258517Sung Whan Jeon, Hye Jin Lee, Sungzoon Cho: Building industry network based on business text: Corporate disclosures and news.IEEE BigData2017: 4696-4704]]>https://dblp.org/rec/conf/bigdataconf/JeonLC17Sun, 01 Jan 2017 00:00:00 +0100Distance-based Self-Attention Network for Natural Language Inference.http://arxiv.org/abs/1712.02047Jinbae Im, Sungzoon Cho: Distance-based Self-Attention Network for Natural Language Inference.CoRRabs/1712.02047 (2017)]]>https://dblp.org/rec/journals/corr/abs-1712-02047Sun, 01 Jan 2017 00:00:00 +0100Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things.http://arxiv.org/abs/1712.06343Dohyung Kim, Hyochang Yang, Minki Chung, Sungzoon Cho: Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things.CoRRabs/1712.06343 (2017)]]>https://dblp.org/rec/journals/corr/abs-1712-06343Sun, 01 Jan 2017 00:00:00 +0100Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing.https://doi.org/10.1016/j.eswa.2015.12.027Pilsung 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)]]>https://dblp.org/rec/journals/eswa/KangKC16Fri, 01 Jan 2016 00:00:00 +0100Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning.https://doi.org/10.1016/j.eswa.2016.06.016Yeonkook 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)]]>https://dblp.org/rec/journals/eswa/KimBC16Fri, 01 Jan 2016 00:00:00 +0100Box-office forecasting based on sentiments of movie reviews and Independent subspace method.https://doi.org/10.1016/j.ins.2016.08.027Minhoe Hur, Pilsung Kang, Sungzoon Cho: Box-office forecasting based on sentiments of movie reviews and Independent subspace method.Inf. Sci.372: 608-624 (2016)]]>https://dblp.org/rec/journals/isci/HurKC16Fri, 01 Jan 2016 00:00:00 +0100Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks.https://doi.org/10.1109/BIGCOMP.2016.7425963Jinwon An, Sungzoon Cho: Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks.BigComp2016: 427-429]]>https://dblp.org/rec/conf/bigcomp/AnC16Fri, 01 Jan 2016 00:00:00 +0100Automatic classification of securities using hierarchical clustering of the 10-Ks.https://doi.org/10.1109/BigData.2016.7841069Hoseong Yang, Hye Jin Lee, Sungzoon Cho, Eugene Cho: Automatic classification of securities using hierarchical clustering of the 10-Ks.IEEE BigData2016: 3936-3943]]>https://dblp.org/rec/conf/bigdataconf/YangLCC16Fri, 01 Jan 2016 00:00:00 +0100Multi-class classification via heterogeneous ensemble of one-class classifiers.https://doi.org/10.1016/j.engappai.2015.04.003Seokho Kang, Sungzoon Cho, Pilsung Kang: Multi-class classification via heterogeneous ensemble of one-class classifiers.Eng. Appl. Artif. Intell.43: 35-43 (2015)]]>https://dblp.org/rec/journals/eaai/KangCK15Thu, 01 Jan 2015 00:00:00 +0100An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction.https://doi.org/10.1016/j.eswa.2015.01.042Seokho 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)]]>https://dblp.org/rec/journals/eswa/KangKKCRY15Thu, 01 Jan 2015 00:00:00 +0100A novel multi-class classification algorithm based on one-class support vector machine.https://doi.org/10.3233/IDA-150741Seokho Kang, Sungzoon Cho: A novel multi-class classification algorithm based on one-class support vector machine.Intell. Data Anal.19(4): 713-725 (2015)]]>https://dblp.org/rec/journals/ida/KangC15Thu, 01 Jan 2015 00:00:00 +0100Constructing a multi-class classifier using one-against-one approach with different binary classifiers.https://doi.org/10.1016/j.neucom.2014.08.006Seokho Kang, Sungzoon Cho, Pilsung Kang: Constructing a multi-class classifier using one-against-one approach with different binary classifiers.Neurocomputing149: 677-682 (2015)]]>https://dblp.org/rec/journals/ijon/KangCK15Thu, 01 Jan 2015 00:00:00 +0100Optimal construction of one-against-one classifier based on meta-learning.https://doi.org/10.1016/j.neucom.2015.04.048Seokho Kang, Sungzoon Cho: Optimal construction of one-against-one classifier based on meta-learning.Neurocomputing167: 459-466 (2015)]]>https://dblp.org/rec/journals/ijon/KangC15Thu, 01 Jan 2015 00:00:00 +0100Keystroke dynamics-based user authentication using long and free text strings from various input devices.https://doi.org/10.1016/j.ins.2014.08.070Pilsung Kang, Sungzoon Cho: Keystroke dynamics-based user authentication using long and free text strings from various input devices.Inf. Sci.308: 72-93 (2015)]]>https://dblp.org/rec/journals/isci/KangC15Thu, 01 Jan 2015 00:00:00 +0100A study on the man-hour prediction system for shipbuilding.https://doi.org/10.1007/s10845-013-0858-3Minhoe 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)]]>https://dblp.org/rec/journals/jim/HuhLKCLL15Thu, 01 Jan 2015 00:00:00 +0100Improvement of virtual metrology performance by removing metrology noises in a training dataset.https://doi.org/10.1007/s10044-013-0363-5Dongil 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)]]>https://dblp.org/rec/journals/paa/KimKLKDC15Thu, 01 Jan 2015 00:00:00 +0100Multivariate Control Charts Based on Hybrid Novelty Scores.https://doi.org/10.1080/03610918.2012.698775Gulanbaier 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)]]>https://dblp.org/rec/journals/cssc/TuerhongKKC14Wed, 01 Jan 2014 00:00:00 +0100Knowledge discovery in inspection reports of marine structures.https://doi.org/10.1016/j.eswa.2013.07.109Seung-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)]]>https://dblp.org/rec/journals/eswa/LeeKHPKCLL14Wed, 01 Jan 2014 00:00:00 +0100Data based segmentation and summarization for sensor data in semiconductor manufacturing.https://doi.org/10.1016/j.eswa.2013.11.001Eunjeong 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)]]>https://dblp.org/rec/journals/eswa/ParkPYCLP14Wed, 01 Jan 2014 00:00:00 +0100Approximating support vector machine with artificial neural network for fast prediction.https://doi.org/10.1016/j.eswa.2014.02.025Seokho Kang, Sungzoon Cho: Approximating support vector machine with artificial neural network for fast prediction.Expert Syst. Appl.41(10): 4989-4995 (2014)]]>https://dblp.org/rec/journals/eswa/KangC14Wed, 01 Jan 2014 00:00:00 +0100Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing.https://doi.org/10.1016/j.neucom.2013.10.001Seung-kyung Lee, Pilsung Kang, Sungzoon Cho: Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing.Neurocomputing131: 427-439 (2014)]]>https://dblp.org/rec/journals/ijon/LeeKC14Wed, 01 Jan 2014 00:00:00 +0100Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach.https://doi.org/10.1007/s10044-014-0386-6Pilsung 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)]]>https://dblp.org/rec/journals/paa/KangKC14Wed, 01 Jan 2014 00:00:00 +0100Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry.https://doi.org/10.1016/j.eswa.2012.07.033Seung-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)]]>https://dblp.org/rec/journals/eswa/LeeKHCPL13Tue, 01 Jan 2013 00:00:00 +0100Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing.https://doi.org/10.1016/j.eswa.2011.09.088Dongil 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)]]>https://dblp.org/rec/journals/eswa/KimKCLD12Sun, 01 Jan 2012 00:00:00 +0100Improved response modeling based on clustering, under-sampling, and ensemble.https://doi.org/10.1016/j.eswa.2011.12.028Pilsung Kang, Sungzoon Cho, Douglas L. MacLachlan: Improved response modeling based on clustering, under-sampling, and ensemble.Expert Syst. Appl.39(8): 6738-6753 (2012)]]>https://dblp.org/rec/journals/eswa/KangCM12Sun, 01 Jan 2012 00:00:00 +0100Pattern selection for support vector regression based response modeling.https://doi.org/10.1016/j.eswa.2012.02.026Dongil Kim, Sungzoon Cho: Pattern selection for support vector regression based response modeling.Expert Syst. Appl.39(10): 8975-8985 (2012)]]>https://dblp.org/rec/journals/eswa/KimC12Sun, 01 Jan 2012 00:00:00 +0100Support vector class description (SVCD): Classification in kernel space.https://doi.org/10.3233/IDA-2012-0528Pilsung Kang, Sungzoon Cho: Support vector class description (SVCD): Classification in kernel space.Intell. Data Anal.16(3): 351-364 (2012)]]>https://dblp.org/rec/journals/ida/KangC12Sun, 01 Jan 2012 00:00:00 +0100Two-Phase KNN on Sub-Trajectory Similarity for Efficient Ballistic Launching Point Estimation.https://dblp.org/pid/60/2556.htmlHyunjoong 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]]>https://dblp.org/rec/conf/incdm/KimKC12Sun, 01 Jan 2012 00:00:00 +0100Virtual metrology for run-to-run control in semiconductor manufacturing.https://doi.org/10.1016/j.eswa.2010.08.040Pilsung 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)]]>https://dblp.org/rec/journals/eswa/KangKLDC11Sat, 01 Jan 2011 00:00:00 +0100Keystroke dynamics-based authentication for mobile devices.https://doi.org/10.1016/j.cose.2008.10.002Seongseob Hwang, Sungzoon Cho, Sunghoon Park: Keystroke dynamics-based authentication for mobile devices.Comput. Secur.28(1-2): 85-93 (2009)]]>https://dblp.org/rec/journals/compsec/HwangCP09Thu, 01 Jan 2009 00:00:00 +0100Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication.https://doi.org/10.1016/j.eswa.2009.02.075Seongseob 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)]]>https://dblp.org/rec/journals/eswa/HwangLC09Thu, 01 Jan 2009 00:00:00 +0100A virtual metrology system for semiconductor manufacturing.https://doi.org/10.1016/j.eswa.2009.05.053Pilsung 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)]]>https://dblp.org/rec/journals/eswa/KangLCKPPD09Thu, 01 Jan 2009 00:00:00 +0100Account-Sharing Detection Through Keystroke Dynamics Analysis.https://doi.org/10.2753/JEC1086-4415140204Seongseob Hwang, Hyoungjoo Lee, Sungzoon Cho: Account-Sharing Detection Through Keystroke Dynamics Analysis.Int. J. Electron. Commer.14(2): 109-126 (2009)]]>https://dblp.org/rec/journals/ijecommerce/HwangLC09Thu, 01 Jan 2009 00:00:00 +0100A hybrid novelty score and its use in keystroke dynamics-based user authentication.https://doi.org/10.1016/j.patcog.2009.04.009Pilsung Kang, Sungzoon Cho: A hybrid novelty score and its use in keystroke dynamics-based user authentication.Pattern Recognit.42(11): 3115-3127 (2009)]]>https://dblp.org/rec/journals/pr/KangC09Thu, 01 Jan 2009 00:00:00 +0100K-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy.https://doi.org/10.1007/978-3-642-04394-9_14Pilsung Kang, Sungzoon Cho: K-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy.IDEAL2009: 109-117]]>https://dblp.org/rec/conf/ideal/KangC09Thu, 01 Jan 2009 00:00:00 +0100Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection.https://doi.org/10.1016/j.artmed.2007.11.001Hyoungjoo Lee, Sungzoon Cho, Min Sup Shin: Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection.Artif. Intell. Medicine42(3): 199-212 (2008)]]>https://dblp.org/rec/journals/artmed/LeeCS08Tue, 01 Jan 2008 00:00:00 +0100Improvement of keystroke data quality through artificial rhythms and cues.https://doi.org/10.1016/j.cose.2008.02.001Pilsung 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)]]>https://dblp.org/rec/journals/compsec/KangPHLC08Tue, 01 Jan 2008 00:00:00 +0100Response modeling with support vector regression.https://doi.org/10.1016/j.eswa.2006.12.019Dongil Kim, Hyoungjoo Lee, Sungzoon Cho: Response modeling with support vector regression.Expert Syst. Appl.34(2): 1102-1108 (2008)]]>https://dblp.org/rec/journals/eswa/KimLC08Tue, 01 Jan 2008 00:00:00 +0100Locally linear reconstruction for instance-based learning.https://doi.org/10.1016/j.patcog.2008.04.009Pilsung Kang, Sungzoon Cho: Locally linear reconstruction for instance-based learning.Pattern Recognit.41(11): 3507-3518 (2008)]]>https://dblp.org/rec/journals/pr/KangC08aTue, 01 Jan 2008 00:00:00 +0100Bootstrap Based Pattern Selection for Support Vector Regression.https://doi.org/10.1007/978-3-540-68125-0_56Dongil Kim, Sungzoon Cho: Bootstrap Based Pattern Selection for Support Vector Regression.PAKDD2008: 608-615]]>https://dblp.org/rec/conf/pakdd/KimC08Tue, 01 Jan 2008 00:00:00 +0100Retraining a keystroke dynamics-based authenticator with impostor patterns.https://doi.org/10.1016/j.cose.2006.11.006Hyoungjoo Lee, Sungzoon Cho: Retraining a keystroke dynamics-based authenticator with impostor patterns.Comput. Secur.26(4): 300-310 (2007)]]>https://dblp.org/rec/journals/compsec/LeeC07Mon, 01 Jan 2007 00:00:00 +0100Focusing on non-respondents: Response modeling with novelty detectors.https://doi.org/10.1016/j.eswa.2006.05.016Hyoungjoo Lee, Sungzoon Cho: Focusing on non-respondents: Response modeling with novelty detectors.Expert Syst. Appl.33(2): 522-530 (2007)]]>https://dblp.org/rec/journals/eswa/LeeC07Mon, 01 Jan 2007 00:00:00 +0100Neighborhood Property-Based Pattern Selection for Support Vector Machines.https://doi.org/10.1162/neco.2007.19.3.816Hyunjung Shin, Sungzoon Cho: Neighborhood Property-Based Pattern Selection for Support Vector Machines.Neural Comput.19(3): 816-855 (2007)]]>https://dblp.org/rec/journals/neco/ShinC07Mon, 01 Jan 2007 00:00:00 +0100Continual Retraining of Keystroke Dynamics Based Authenticator.https://doi.org/10.1007/978-3-540-74549-5_125Pilsung Kang, Seongseob Hwang, Sungzoon Cho: Continual Retraining of Keystroke Dynamics Based Authenticator.ICB2007: 1203-1211]]>https://dblp.org/rec/conf/icb/KangHC07Mon, 01 Jan 2007 00:00:00 +0100Clustering-Based Reference Set Reduction for k-Nearest Neighbor.https://doi.org/10.1007/978-3-540-72393-6_105Seongseob Hwang, Sungzoon Cho: Clustering-Based Reference Set Reduction for k-Nearest Neighbor.ISNN (2)2007: 880-888]]>https://dblp.org/rec/conf/isnn/HwangC07Mon, 01 Jan 2007 00:00:00 +0100Ensemble based on GA wrapper feature selection.https://doi.org/10.1016/j.cie.2006.07.004Enzhe Yu, Sungzoon Cho: Ensemble based on GA wrapper feature selection.Comput. Ind. Eng.51(1): 111-116 (2006)]]>https://dblp.org/rec/journals/candie/YuC06Sun, 01 Jan 2006 00:00:00 +0100Constructing response model using ensemble based on feature subset selection.https://doi.org/10.1016/j.eswa.2005.07.026Enzhe Yu, Sungzoon Cho: Constructing response model using ensemble based on feature subset selection.Expert Syst. Appl.30(2): 352-360 (2006)]]>https://dblp.org/rec/journals/eswa/YuC06Sun, 01 Jan 2006 00:00:00 +0100Response modeling with support vector machines.https://doi.org/10.1016/j.eswa.2005.07.037Hyunjung Shin, Sungzoon Cho: Response modeling with support vector machines.Expert Syst. Appl.30(4): 746-760 (2006)]]>https://dblp.org/rec/journals/eswa/ShinC06Sun, 01 Jan 2006 00:00:00 +0100Application of LVQ to novelty detection using outlier training data.https://doi.org/10.1016/j.patrec.2006.02.019Hyoungjoo Lee, Sungzoon Cho: Application of LVQ to novelty detection using outlier training data.Pattern Recognit. Lett.27(13): 1572-1579 (2006)]]>https://dblp.org/rec/journals/prl/LeeC06Sun, 01 Jan 2006 00:00:00 +0100Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication.https://doi.org/10.1007/11608288_83Sungzoon Cho, Seongseob Hwang: Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication.ICB2006: 626-632]]>https://dblp.org/rec/conf/icb/ChoH06Sun, 01 Jan 2006 00:00:00 +0100Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-Based Authentication.https://doi.org/10.1007/11608288_84Hyoungjoo Lee, Sungzoon Cho: Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-Based Authentication.ICB2006: 633-639]]>https://dblp.org/rec/conf/icb/LeeC06Sun, 01 Jan 2006 00:00:00 +0100GA SVM Wrapper Ensemble for Keystroke Dynamics Authentication.https://doi.org/10.1007/11608288_87Ki-seok Sung, Sungzoon Cho: GA SVM Wrapper Ensemble for Keystroke Dynamics Authentication.ICB2006: 654-660]]>https://dblp.org/rec/conf/icb/SungC06Sun, 01 Jan 2006 00:00:00 +0100Classification of Bluffing Behavior and Affective Attitude from Prefrontal Surface Encephalogram During On-Line Game.https://doi.org/10.1007/11608288_94Myung Hwan Yun, Joo Hwan Lee, Hyoungjoo Lee, Sungzoon Cho: Classification of Bluffing Behavior and Affective Attitude from Prefrontal Surface Encephalogram During On-Line Game.ICB2006: 706-712]]>https://dblp.org/rec/conf/icb/YunLLC06Sun, 01 Jan 2006 00:00:00 +0100The Novelty Detection Approach for Different Degrees of Class Imbalance.https://doi.org/10.1007/11893257_3Hyoungjoo Lee, Sungzoon Cho: The Novelty Detection Approach for Different Degrees of Class Imbalance.ICONIP (2)2006: 21-30]]>https://dblp.org/rec/conf/iconip/LeeC06Sun, 01 Jan 2006 00:00:00 +0100EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.https://doi.org/10.1007/11893028_93Pilsung Kang, Sungzoon Cho: EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.ICONIP (1)2006: 837-846]]>https://dblp.org/rec/conf/iconip/KangC06Sun, 01 Jan 2006 00:00:00 +0100Pattern Selection for Support Vector Regression based on Sparseness and Variability.https://doi.org/10.1109/IJCNN.2006.246737Jiyoung Sun, Sungzoon Cho: Pattern Selection for Support Vector Regression based on Sparseness and Variability.IJCNN2006: 599-602]]>https://dblp.org/rec/conf/ijcnn/SunC06Sun, 01 Jan 2006 00:00:00 +0100Prototype based outlier detection.https://doi.org/10.1109/IJCNN.2006.246769Seungtaek Kim, Sungzoon Cho: Prototype based outlier detection.IJCNN2006: 820-826]]>https://dblp.org/rec/conf/ijcnn/KimC06Sun, 01 Jan 2006 00:00:00 +0100epsilon-Tube Based Pattern Selection for Support Vector Machines.https://doi.org/10.1007/11731139_26Dongil Kim, Sungzoon Cho: epsilon-Tube Based Pattern Selection for Support Vector Machines.PAKDD2006: 215-224]]>https://dblp.org/rec/conf/pakdd/KimC06Sun, 01 Jan 2006 00:00:00 +0100Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication.https://doi.org/10.1007/11734628_9Seongseob Hwang, Hyoungjoo Lee, Sungzoon Cho: Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication.WISI2006: 73-78]]>https://dblp.org/rec/conf/wisi/HwangLC06Sun, 01 Jan 2006 00:00:00 +0100The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication.https://doi.org/10.1007/11734628_22Pilsung Kang, Sunghoon Park, Sungzoon Cho, Seongseob Hwang, Hyoungjoo Lee: The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication.WISI2006: 161-162]]>https://dblp.org/rec/conf/wisi/KangPCHL06Sun, 01 Jan 2006 00:00:00 +0100Invariance of neighborhood relation under input space to feature space mapping.https://doi.org/10.1016/j.patrec.2004.09.023Hyunjung Shin, Sungzoon Cho: Invariance of neighborhood relation under input space to feature space mapping.Pattern Recognit. Lett.26(6): 707-718 (2005)]]>https://dblp.org/rec/journals/prl/ShinC05Sat, 01 Jan 2005 00:00:00 +0100SOM-Based Novelty Detection Using Novel Data.https://doi.org/10.1007/11508069_47Hyoungjoo Lee, Sungzoon Cho: SOM-Based Novelty Detection Using Novel Data.IDEAL2005: 359-366]]>https://dblp.org/rec/conf/ideal/LeeC05Sat, 01 Jan 2005 00:00:00 +0100Keystroke dynamics identity verification - its problems and practical solutions.https://doi.org/10.1016/j.cose.2004.02.004Enzhe Yu, Sungzoon Cho: Keystroke dynamics identity verification - its problems and practical solutions.Comput. Secur.23(5): 428-440 (2004)]]>https://dblp.org/rec/journals/compsec/YuC04Thu, 01 Jan 2004 00:00:00 +0100Combining Gaussian Mixture Models.https://doi.org/10.1007/978-3-540-28651-6_98Hyoungjoo Lee, Sungzoon Cho: Combining Gaussian Mixture Models.IDEAL2004: 666-671]]>https://dblp.org/rec/conf/ideal/LeeC04Thu, 01 Jan 2004 00:00:00 +0100Bankruptcy prediction for credit risk using an auto-associative neural network in Korean firms.https://doi.org/10.1109/CIFER.2003.1196237Jinwoo Baek, Sungzoon Cho: Bankruptcy prediction for credit risk using an auto-associative neural network in Korean firms.CIFEr2003: 25-29]]>https://dblp.org/rec/conf/cifer/BaekC03Wed, 01 Jan 2003 00:00:00 +0100Trend detection using auto-associative neural networks: Intraday KOSPI 200 futures.https://doi.org/10.1109/CIFER.2003.1196290Jun-Myung Lee, Sungzoon Cho, Jinwoo Baek: Trend detection using auto-associative neural networks: Intraday KOSPI 200 futures.CIFEr2003: 417-420]]>https://dblp.org/rec/conf/cifer/LeeCB03Wed, 01 Jan 2003 00:00:00 +0100Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis.https://doi.org/10.1007/978-3-540-45080-1_142Hyunjung Shin, Sungzoon Cho: Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis.IDEAL2003: 1008-1015]]>https://dblp.org/rec/conf/ideal/ShinC03Wed, 01 Jan 2003 00:00:00 +0100Novelty Detection Approach for Keystroke Dynamics Identity Verification.https://doi.org/10.1007/978-3-540-45080-1_143Enzhe Yu, Sungzoon Cho: Novelty Detection Approach for Keystroke Dynamics Identity Verification.IDEAL2003: 1016-1023]]>https://dblp.org/rec/conf/ideal/YuC03Wed, 01 Jan 2003 00:00:00 +0100Fast Pattern Selection for Support Vector Classifiers.https://doi.org/10.1007/3-540-36175-8_37Hyunjung Shin, Sungzoon Cho: Fast Pattern Selection for Support Vector Classifiers.PAKDD2003: 376-387]]>https://dblp.org/rec/conf/pakdd/ShinC03Wed, 01 Jan 2003 00:00:00 +0100Observational Learning Algorithm for an Ensemble of Neural Networks.https://doi.org/10.1007/s100440200014Min Jang, Sungzoon Cho: Observational Learning Algorithm for an Ensemble of Neural Networks.Pattern Anal. Appl.5(2): 154-167 (2002)]]>https://dblp.org/rec/journals/paa/JangC02Tue, 01 Jan 2002 00:00:00 +0100An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures.https://doi.org/10.1007/3-540-45675-9_53Jinwoo Baek, Sungzoon Cho: An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures.IDEAL2002: 359-365]]>https://dblp.org/rec/conf/ideal/BaekC02Tue, 01 Jan 2002 00:00:00 +0100Pattern Selection for Support Vector Classifiers.https://doi.org/10.1007/3-540-45675-9_70Hyunjung Shin, Sungzoon Cho: Pattern Selection for Support Vector Classifiers.IDEAL2002: 469-474]]>https://dblp.org/rec/conf/ideal/ShinC02Tue, 01 Jan 2002 00:00:00 +0100Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction.https://doi.org/10.1142/S0129065701000825Sungzoon Cho, Min Sup Shin: Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction.Int. J. Neural Syst.11(4): 361-369 (2001)]]>https://dblp.org/rec/journals/ijns/ChoS01Mon, 01 Jan 2001 00:00:00 +0100Smoothed Bagging with Kernel Bandwidth Selectors.https://doi.org/10.1023/A:1012403711980Shinjae Lee, Sungzoon Cho: Smoothed Bagging with Kernel Bandwidth Selectors.Neural Process. Lett.14(2): 157-168 (2001)]]>https://dblp.org/rec/journals/npl/LeeC01Mon, 01 Jan 2001 00:00:00 +0100Web-Based Keystroke Dynamics Identity Verification Using Neural Network.https://doi.org/10.1207/S15327744JOCE1004_07Sungzoon 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)]]>https://dblp.org/rec/journals/jocec/ChoHHK00Sat, 01 Jan 2000 00:00:00 +0100Observational Learning with Modular Networks.https://doi.org/10.1007/3-540-44491-2_19Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho: Observational Learning with Modular Networks.IDEAL2000: 126-132]]>https://dblp.org/rec/conf/ideal/ShinLC00Sat, 01 Jan 2000 00:00:00 +0100"Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network.https://doi.org/10.1007/3-540-44491-2_41Jinwoo Baek, Sungzoon Cho: "Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network.IDEAL2000: 286-291]]>https://dblp.org/rec/conf/ideal/BaekC00Sat, 01 Jan 2000 00:00:00 +0100Constructing belief networks from realistic data.https://doi.org/10.1002/(SICI)1098-111X(199907)14:7<671::AID-INT3%3E3.0.CO;2-BYun Peng, Zonglin Zhou, Sungzoon Cho: Constructing belief networks from realistic data.Int. J. Intell. Syst.14(7): 671-695 (1999)]]>https://dblp.org/rec/journals/ijis/PengZC99Fri, 01 Jan 1999 00:00:00 +0100Ensemble learning using observational learning theory.https://doi.org/10.1109/IJCNN.1999.831147Min Jang, Sungzoon Cho: Ensemble learning using observational learning theory.IJCNN1999: 1287-1292]]>https://dblp.org/rec/conf/ijcnn/JangC99Fri, 01 Jan 1999 00:00:00 +0100Characteristics of auto-associative MLP as a novelty detector.https://doi.org/10.1109/IJCNN.1999.836051Byungho Hwang, Sungzoon Cho: Characteristics of auto-associative MLP as a novelty detector.IJCNN1999: 3086-3091]]>https://dblp.org/rec/conf/ijcnn/HwangC99Fri, 01 Jan 1999 00:00:00 +0100Rock Porosity Prediction Using Multilayer Perceptrons.https://dblp.org/pid/60/2556.htmlMin Jang, Sungzoon Cho, Patrick M. Wong, Chun Che Fung, Kok Wai Wong: Rock Porosity Prediction Using Multilayer Perceptrons.ICONIP1998: 1016-1019]]>https://dblp.org/rec/conf/iconip/JangCWFW98Thu, 01 Jan 1998 00:00:00 +0100Does Rotation of Neuronal Population Vectors Equal Mental Rotation?https://doi.org/10.1080/095400997116630Carol S. Whitney, James A. Reggia, Sungzoon Cho: Does Rotation of Neuronal Population Vectors Equal Mental Rotation?Connect. Sci.9(3): 253-268 (1997)]]>https://dblp.org/rec/journals/connection/WhitneyRC97Wed, 01 Jan 1997 00:00:00 +0100Virtual sample generation using a population of networks.https://doi.org/10.1023/A:1009653706403Sungzoon Cho, Min Jang, Sungjune Chang: Virtual sample generation using a population of networks.Neural Process. Lett.5(2): 21-27 (1997)]]>https://dblp.org/rec/journals/npl/ChoJC97Wed, 01 Jan 1997 00:00:00 +0100Reliable roll force prediction in cold mill using multiple neural networks.https://doi.org/10.1109/72.595885Sungzoon Cho, Yongjung Cho, Sungchul Yoon: Reliable roll force prediction in cold mill using multiple neural networks.IEEE Trans. Neural Networks8(4): 874-882 (1997)]]>https://dblp.org/rec/journals/tnn/ChoCY97Wed, 01 Jan 1997 00:00:00 +0100Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks.https://doi.org/10.1109/ICNN.1997.614467Jae Woo Lee, Sungzoon Cho: Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks.ICNN1997: 2445-2448]]>https://dblp.org/rec/conf/icnn/LeeC97Wed, 01 Jan 1997 00:00:00 +0100Effects of Varying Parameters on Properties of Self-Organizing Feature Maps.https://doi.org/10.1007/BF00454846Sungzoon 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)]]>https://dblp.org/rec/journals/npl/ChoJR96Mon, 01 Jan 1996 00:00:00 +0100Evolution of Neural Network Training Set Through Addition of Virtual Samples.https://doi.org/10.1109/ICEC.1996.542684Sungzoon Cho, Keonhoe Cha: Evolution of Neural Network Training Set Through Addition of Virtual Samples.International Conference on Evolutionary Computation1996: 685-688]]>https://dblp.org/rec/conf/icec/ChoC96Mon, 01 Jan 1996 00:00:00 +0100Map Formation in Proprioceptive Cortex.https://doi.org/10.1142/S0129065794000116Sungzoon Cho, James A. Reggia: Map Formation in Proprioceptive Cortex.Int. J. Neural Syst.5(2): 87-101 (1994)]]>https://dblp.org/rec/journals/ijns/ChoR94Sat, 01 Jan 1994 00:00:00 +0100Multiple disorder diagnosis with adaptive competitive neural networks.https://doi.org/10.1016/0933-3657(93)90038-5Sungzoon Cho, James A. Reggia: Multiple disorder diagnosis with adaptive competitive neural networks.Artif. Intell. Medicine5(6): 469-487 (1993)]]>https://dblp.org/rec/journals/artmed/ChoR93Fri, 01 Jan 1993 00:00:00 +0100Learning Competition and Cooperation.https://doi.org/10.1162/neco.1993.5.2.242Sungzoon Cho, James A. Reggia: Learning Competition and Cooperation.Neural Comput.5(2): 242-259 (1993)]]>https://dblp.org/rec/journals/neco/ChoR93Fri, 01 Jan 1993 00:00:00 +0100Improvement of kittler and illingworth's minimum error thresholding.https://doi.org/10.1016/0031-3203(89)90029-0Sungzoon Cho, Robert M. Haralick, Seungku Yi: Improvement of kittler and illingworth's minimum error thresholding.Pattern Recognit.22(5): 609-617 (1989)]]>https://dblp.org/rec/journals/pr/ChoHY89Sun, 01 Jan 1989 00:00:00 +0100