A Federated Learning Method for Multi-Positive and Unlabeled Data Using an Ensemble of One-Positive and Unlabeled Learning Models.

Cheong Hee Park

Cheong Hee Park A Federated Learning Method for Multi-Positive and Unlabeled Data Using an Ensemble of One-Positive and Unlabeled Learning Models. 2025 16-23 19 J. Comput. Sci. Eng. 1 https://doi.org/10.5626/jcse.2025.19.1.16 db/journals/jcse/jcse19.html#Park25 streams/journals/jcse

Sung Won Kang Cheong Hee Park Effective federated XGBoost learning for multi-class classification in Non-IID environments. 777 2025 April 81 J. Supercomput. 6 https://doi.org/10.1007/s11227-025-07245-3 db/journals/tjs/tjs81.html#KangP25 streams/journals/tjs

Penjan Antonio Eng Lim Cheong Hee Park A collaborative ensemble construction method for federated random forest. 124742 2024 255 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2024.124742 db/journals/eswa/eswa255.html#LimP24 streams/journals/eswa

Dongjin Lee Jungyu Kang Seung-Jun Han Kyoung-Wook Min Cheong Hee Park Targetless LiDAR-Camera Auto Calibration (TLAC): Leveraging Foundation Models for Enhanced Accuracy and Efficiency. 667-672 2024 ICTC https://doi.org/10.1109/ICTC62082.2024.10826946 conf/ictc/2024 db/conf/ictc/ictc2024.html#LeeKHMP24

Penjan Antonio Eng Lim Cheong Hee Park A collaborative ensemble construction method for federated random forest. 2024 abs/2407.19193 CoRR https://doi.org/10.48550/arXiv.2407.19193 db/journals/corr/corr2407.html#abs-2407-19193 streams/journals/corr

Min Ah Kang Cheong Hee Park Prediction of Peak Pressure by Blast Wave Propagation Between Buildings Using a Conditional 3D Convolutional Neural Network. 26114-26124 2023 11 IEEE Access https://doi.org/10.1109/ACCESS.2023.3257345 db/journals/access/access11.html#KangP23

Cheong Hee Park A Comparative Study for Outlier Detection Methods in High Dimensional Text Data. 5-17 2023 13 J. Artif. Intell. Soft Comput. Res. 1 https://doi.org/10.2478/jaiscr-2023-0001 db/journals/jaiscr/jaiscr13.html#Park23

Taegong Kim Cheong Hee Park Anomaly Pattern Detection in Streaming Data Based on the Transformation to Multiple Binary-Valued Data Streams. 19-27 2022 12 J. Artif. Intell. Soft Comput. Res. 1 https://doi.org/10.2478/jaiscr-2022-0002 db/journals/jaiscr/jaiscr12.html#KimP22

Jin-Woo Han Cheong Hee Park A Unified Method for Deinterleaving and PRI Modulation Recognition of Radar Pulses Based on Deep Neural Networks. 89360-89375 2021 9 IEEE Access https://doi.org/10.1109/ACCESS.2021.3091309 db/journals/access/access9.html#HanP21

Cheong Hee Park Jiil Kim An explainable outlier detection method using region-partition trees. 3062-3076 2021 77 J. Supercomput. 3 https://doi.org/10.1007/s11227-020-03384-x db/journals/tjs/tjs77.html#ParkK21

Taegong Kim Cheong Hee Park Anomaly pattern detection for streaming data. 113252 2020 149 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2020.113252 db/journals/eswa/eswa149.html#KimP20

Cheong Hee Park Gyeong-Hoon Lee Comparison of incremental linear dimension reduction methods for streaming data. 15-21 2020 135 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2020.03.028 db/journals/prl/prl135.html#ParkL20

Gyeong-Hoon Lee Jeil Jo Cheong Hee Park Jamming Prediction for Radar Signals Using Machine Learning Methods. 2151570:1-2151570:9 2020 2020 Secur. Commun. Networks https://doi.org/10.1155/2020/2151570 https://www.wikidata.org/entity/Q126289401 db/journals/scn/scn2020.html#LeeJP20

Koby Hayashi Sinan G. Aksoy Cheong Hee Park Haesun Park Hypergraph Random Walks, Laplacians, and Clustering. 495-504 2020 CIKM https://doi.org/10.1145/3340531.3412034 conf/cikm/2020 db/conf/cikm/cikm2020.html#HayashiAPP20

Koby Hayashi Sinan G. Aksoy Cheong Hee Park Haesun Park Hypergraph Random Walks, Laplacians, and Clustering. 2020 abs/2006.16377 CoRR https://arxiv.org/abs/2006.16377 db/journals/corr/corr2006.html#abs-2006-16377

Hyeok-Jun Choi Cheong Hee Park Emerging topic detection in twitter stream based on high utility pattern mining. 27-36 2019 115 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2018.07.051 https://www.wikidata.org/entity/Q129454601 db/journals/eswa/eswa115.html#ChoiP19

Hyunsuk Kim Daesub Yoon HyunSoon Shin Cheong Hee Park Predicting the EEG Level of a Driver Based on Driving Information. 1215-1225 2019 20 IEEE Trans. Intell. Transp. Syst. 4 https://doi.org/10.1109/TITS.2018.2848300 https://www.wikidata.org/entity/Q129564942 db/journals/tits/tits20.html#KimYSP19

Cheong Hee Park Outlier and anomaly pattern detection on data streams. 6118-6128 2019 75 J. Supercomput. 9 https://doi.org/10.1007/s11227-018-2674-1 db/journals/tjs/tjs75.html#Park19

Cheong Hee Park Anomaly Pattern Detection on Data Streams. 689-692 2018 BigComp https://doi.org/10.1109/BigComp.2018.00127 https://doi.ieeecomputersociety.org/10.1109/BigComp.2018.00127 conf/bigcomp/2018 db/conf/bigcomp/bigcomp2018.html#Park18 Dongjin Lee Yongwoo Jo Seung-Jun Han Jungyu Kang Kyoungwook Min Jeongdan Choi Cheong Hee Park Vehicle re-identification for a parking lot toll system using convolutional neural networks. 110412K 2018 ICMV https://doi.org/10.1117/12.2522748 conf/icmv/2018 db/conf/icmv/icmv2018.html#LeeJHKMCP18

Youngin Kim Cheong Hee Park An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling. 2537-2546 2017 100-D IEICE Trans. Inf. Syst. 10 https://doi.org/10.1587/transinf.2017EDP7091 http://search.ieice.org/bin/summary.php?id=e100-d_10_2537 db/journals/ieicet/ieicet100d.html#KimP17a

Young In Kim Cheong Hee Park Concept Drift Detection on Streaming Data under Limited Labeling. 273-280 2016 CIT https://doi.org/10.1109/CIT.2016.34 conf/IEEEcit/2016 db/conf/IEEEcit/IEEEcit2016.html#KimP16 Cheong Hee Park Youngsoon Kang An active learning method for data streams with concept drift. 746-752 2016 IEEE BigData https://doi.org/10.1109/BigData.2016.7840667 conf/bigdataconf/2016 db/conf/bigdataconf/bigdataconf2016.html#ParkK16 Hyunsuk Kim Daesub Yoon HyunSoon Shin Cheong Hee Park Driving characteristics analysis of young and middle-aged drivers. 864-867 2016 ICTC https://doi.org/10.1109/ICTC.2016.7763317 conf/ictc/2016 db/conf/ictc/ictc2016.html#KimYSP16

Cheong Hee Park Prototype-Based Sample Selection for Active Hashing. 839-844 2015 11 J. Comput. Sci. 7 https://doi.org/10.3844/jcssp.2015.839.844 db/journals/jcsci/jcsci11.html#Park15

Cheong Hee Park Query by humming based on multiple spectral hashing and scaled open-end dynamic time warping. 220-225 2015 108 Signal Process. https://doi.org/10.1016/j.sigpro.2014.09.024 db/journals/sigpro/sigpro108.html#Park15

Hyunsuk Kim Yoonsook Hwang Daesub Yoon Wongeun Choi Cheong Hee Park Driver Workload Characteristics Analysis Using EEG Data From an Urban Road. 1844-1849 2014 15 IEEE Trans. Intell. Transp. Syst. 4 https://doi.org/10.1109/TITS.2014.2333750 db/journals/tits/tits15.html#KimHYCP14

Cheong Hee Park Batch Mode Active Learning for Graph-Based Semi-Supervised Learning. 2013 27 Int. J. Pattern Recognit. Artif. Intell. 7 https://doi.org/10.1142/S0218001413510026 db/journals/ijprai/ijprai27.html#Park13

Hyun-Eui Kim Minsik Park Byung Gyu Chae Joonku Hahn Hwi Kim Cheong Hee Park Kyungae Moon Jinwoong Kim Large-scale color holographic display capable of steering view window. 1-4 2013 IC3D https://doi.org/10.1109/IC3D.2013.6732083 conf/ic3d/2013 db/conf/ic3d/ic3d2013.html#KimPCHKPMK13 Hyunsuk Kim Yoonsook Hwang Daesub Yoon Cheong Hee Park An analysis of driver's workload in the lane change behavior. 242-247 2013 ICTC https://doi.org/10.1109/ICTC.2013.6675350 conf/ictc/2013 db/conf/ictc/ictc2013.html#KimHYP13 Cheong Hee Park A Feature Selection Method Using Hierarchical Clustering. 1-6 2013 MIKE https://doi.org/10.1007/978-3-319-03844-5_1 conf/mike/2013 db/conf/mike/mike2013.html#Park13 Dongjin Lee Kye Kyung Kim Chankyu Park Ho-Sub Yoon Jaehong Kim 0001 Cheong Hee Park Real-time user pose verification in a depth image for simulator. 316-317 2013 RO-MAN https://doi.org/10.1109/ROMAN.2013.6628473 conf/ro-man/2013 db/conf/ro-man/ro-man2013.html#LeeKPYKP13 Yunji Kim Cheong Hee Park Query by Humming by Using Scaled Dynamic Time Warping. 1-5 2013 SITIS https://doi.org/10.1109/SITIS.2013.12 https://doi.ieeecomputersociety.org/10.1109/SITIS.2013.12 conf/sitis/2013 db/conf/sitis/sitis2013.html#KimP13 Dongjin Lee Ho-Sub Yoon Chankyu Park Jaehong Kim 0001 Cheong Hee Park Automatic number recognition for bus route information aid for the visually-impaired. 280-284 2013 URAI https://doi.org/10.1109/URAI.2013.6677367 conf/urai/2013 db/conf/urai/urai2013.html#LeeYPKP13 Hyunsuk Kim Yoonsook Hwang Daesub Yoon Cheong Hee Park Short paper: Study of driver workload-based smartphone control service. 230-233 2013 VNC https://doi.org/10.1109/VNC.2013.6737620 conf/vnc/2013 db/conf/vnc/vnc2013.html#KimHYP13 Hoyoung Woo Cheong Hee Park Semi-supervised Ensemble Learning Using Label Propagation. 421-426 2012 CIT https://doi.org/10.1109/CIT.2012.98 https://doi.ieeecomputersociety.org/10.1109/CIT.2012.98 conf/IEEEcit/2012 db/conf/IEEEcit/IEEEcit2012.html#WooP12 Hoyoung Woo Cheong Hee Park An Efficient Active Learning Method Based on Random Sampling and Backward Deletion. 683-691 2012 IScIDE https://doi.org/10.1007/978-3-642-36669-7_83 conf/iscide/2012 db/conf/iscide/iscide2012.html#WooP12

Yong Joon Shin Cheong Hee Park Analysis of Correlation Based Dimension Reduction Methods. 549-558 2011 21 Int. J. Appl. Math. Comput. Sci. 3 https://doi.org/10.2478/v10006-011-0043-9 db/journals/amcs/amcs21.html#ShinP11

Young Tae Lee Yong Joon Shin Cheong Hee Park Extending Linear Discriminant Analysis by Using Unlabeled Data. 557-562 2011 CIT https://doi.org/10.1109/CIT.2011.52 https://doi.ieeecomputersociety.org/10.1109/CIT.2011.52 conf/IEEEcit/2011 db/conf/IEEEcit/IEEEcit2011.html#LeeSP11

Cheong Hee Park Hongsuk Shim Detection of an Emerging New Class Using Statistical Hypothesis Testing and Density Estimation. 1-14 2010 24 Int. J. Pattern Recognit. Artif. Intell. 1 https://doi.org/10.1142/S0218001410007828 db/journals/ijprai/ijprai24.html#ParkS10

Cheong Hee Park Improved Algorithms for Unsupervised Discriminant Projection. 193-206 2010 24 Int. J. Pattern Recognit. Artif. Intell. 2 https://doi.org/10.1142/S0218001410007920 db/journals/ijprai/ijprai24.html#Park10

Cheong Hee Park Moonhwi Lee A SVM-based discretization method with application to associative classification. 4784-4787 2009 36 Expert Syst. Appl. 3 https://doi.org/10.1016/j.eswa.2008.06.033 db/journals/eswa/eswa36.html#ParkL09

Gaksoo Lim Cheong Hee Park Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis. 9-13 2009 CIT (1) https://doi.org/10.1109/CIT.2009.64 https://doi.ieeecomputersociety.org/10.1109/CIT.2009.64 conf/IEEEcit/2009-1 db/conf/IEEEcit/IEEEcit2009-1.html#LimP09

Cheong Hee Park Haesun Park A comparison of generalized linear discriminant analysis algorithms. 1083-1097 2008 41 Pattern Recognit. 3 https://doi.org/10.1016/j.patcog.2007.07.022 db/journals/pr/pr41.html#ParkP08

Cheong Hee Park Moonhwi Lee On applying linear discriminant analysis for multi-labeled problems. 878-887 2008 29 Pattern Recognit. Lett. 7 https://doi.org/10.1016/j.patrec.2008.01.003 db/journals/prl/prl29.html#ParkL08

Cheong Hee Park Dimension reduction using least squares regression in multi-labeled text categorization. 71-76 2008 CIT https://doi.org/10.1109/CIT.2008.4594652 conf/IEEEcit/2008 db/conf/IEEEcit/IEEEcit2008.html#Park08 Zhaojia Sun Miseon Choi Cheong Hee Park Young-Kuk Kim Selection Of Orthogonal Features In Fisher Discriminant Analysis. 102-106 2008 IADIS European Conf. Data Mining conf/iadis/2008dm db/conf/iadis/dm2008.html#SunCPK08 Moonhwi Lee Cheong Hee Park An efficient image normalization method for face recognition under varying illuminations. 128-133 2008 Multimedia Information Retrieval https://doi.org/10.1145/1460096.1460119 conf/mir/2008 db/conf/mir/mir2008.html#LeeP08 Cheong Hee Park Moonhwi Lee Associative Classification Using SVM-Based Discretization. 171-175 2007 CIS https://doi.org/10.1109/CIS.2007.40 https://doi.ieeecomputersociety.org/10.1109/CIS.2007.40 conf/cis/2007 db/conf/cis/cis2007.html#ParkL07 Cheong Hee Park Hongsuk Shim On Detecting an Emerging Class. 265-270 2007 conf/grc/2007 GrC https://doi.org/10.1109/GrC.2007.12 https://doi.ieeecomputersociety.org/10.1109/GrC.2007.12 db/conf/grc/grc2007.html#ParkS07 Moonhwi Lee Cheong Hee Park On Applying Dimension Reduction for Multi-labeled Problems. 131-143 2007 conf/mldm/2007 MLDM https://doi.org/10.1007/978-3-540-73499-4_11 db/conf/mldm/mldm2007.html#LeeP07 Haleh Hagh-Shenas Victoria Interrante Cheong Hee Park A closer look at texture metrics for visualization. 60570W 2006 Human Vision and Electronic Imaging https://doi.org/10.1117/12.643150 conf/hvei/2006 db/conf/hvei/hvei2006.html#Hagh-ShenasIP06 Cheong Hee Park Similarity-Based Sparse Feature Extraction Using Local Manifold Learning. 30-34 2006 conf/pakdd/2006 PAKDD https://doi.org/10.1007/11731139_6 db/conf/pakdd/pakdd2006.html#Park06

Cheong Hee Park Haesun Park Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. 495-503 2005 38 Pattern Recognit. 4 https://doi.org/10.1016/j.patcog.2004.08.013 db/journals/pr/pr38.html#ParkP05

Cheong Hee Park Haesun Park Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. 87-102 2005 27 SIAM J. Matrix Anal. Appl. 1 https://doi.org/10.1137/S0895479804442334 db/journals/siammax/siammax27.html#ParkP05

Cheong Hee Park Haesun Park A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. 474-492 2005 27 SIAM J. Matrix Anal. Appl. 2 https://doi.org/10.1137/040607599 db/journals/siammax/siammax27.html#ParkP05a

Jieping Ye Ravi Janardan Cheong Hee Park Haesun Park An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. 982-994 2004 26 IEEE Trans. Pattern Anal. Mach. Intell. 8 https://doi.org/10.1109/TPAMI.2004.37 https://doi.ieeecomputersociety.org/10.1109/TPAMI.2004.37 https://www.wikidata.org/entity/Q51556183 db/journals/pami/pami26.html#YeJPP04

Cheong Hee Park Haesun Park Nonlinear feature extraction based on centroids and kernel functions. 801-810 2004 37 Pattern Recognit. 4 https://doi.org/10.1016/j.patcog.2003.07.011 db/journals/pr/pr37.html#ParkP04

Cheong Hee Park Haesun Park Panos M. Pardalos A Comparative Study of Linear and Nonlinear Feature Extraction Methods. 495-498 2004 conf/icdm/2004 ICDM https://doi.org/10.1109/ICDM.2004.10066 https://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10066 db/conf/icdm/icdm2004.html#ParkPP04 Cheong Hee Park Haesun Park Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. 243-250 2003 conf/icdm/2003 ICDM https://doi.org/10.1109/ICDM.2003.1250926 https://doi.ieeecomputersociety.org/10.1109/ICDM.2003.1250926 db/conf/icdm/icdm2003.html#ParkP03 Jieping Ye Ravi Janardan Cheong Hee Park Haesun Park A new optimization criterion for generalized discriminant analysis on undersampled problems. 419-426 2003 conf/icdm/2003 ICDM https://doi.org/10.1109/ICDM.2003.1250948 https://doi.ieeecomputersociety.org/10.1109/ICDM.2003.1250948 db/conf/icdm/icdm2003.html#YeJPP03 Sinan G. Aksoy Byung Gyu Chae Hyeok-Jun Choi Jeong-Dan ChoiJeongdan Choi Miseon Choi Wongeun Choi Haleh Hagh-Shenas Joonku Hahn Jin-Woo Han Seung-Jun Han Koby Hayashi Yoonsook Hwang Victoria Interrante Ravi Janardan Jeil Jo Yongwoo Jo Jungyu Kang Min Ah Kang Sung-Won KangSung Won Kang Youngsoon Kang Hwi Kim Hyun-Eui Kim Hyunsuk Kim Jaehong Kim 0001 Jiil Kim Jinwoong Kim Kye Kyung Kim Taegong Kim Young In Kim Young Kuk KimYoung-Kuk Kim Youngin Kim Yunji Kim Dongjin Lee Gyeong-Hoon Lee Moonhwi Lee Young Tae Lee Gaksoo Lim Penjan Antonio Eng Lim Kyoung-Wook MinKyoungwook Min Kyungae Moon Panos M. Pardalos Chankyu Park Haesun Park Minsik Park Hongsuk Shim Hyunsoon ShinHyunSoon Shin Yong Joon Shin Zhaojia Sun Hoyoung Woo Jieping Ye Daesub Yoon Ho-Sub Yoon