Hwanjo Yu
Hwanjo Yu
Verified email at postech.ac.kr
Cited by
Cited by
Convolutional matrix factorization for document context-aware recommendation
D Kim, C Park, J Oh, S Lee, H Yu
Proceedings of the 10th ACM conference on recommender systems, 233-240, 2016
Classifying large data sets using SVMs with hierarchical clusters
H Yu, J Yang, J Han
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
PEBL: positive example based learning for web page classification using SVM
H Yu, J Han, KCC Chang
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
PEBL: Web page classification without negative examples
H Yu, J Han, KCC Chang
IEEE Transactions on Knowledge and Data Engineering 16 (1), 70-81, 2004
TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC
WS Han, S Lee, K Park, JH Lee, MS Kim, J Kim, H Yu
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
H Yu, X Jiang, J Vaidya
Proceedings of the 2006 ACM symposium on Applied computing, 603-610, 2006
Privacy-preserving svm classification on vertically partitioned data
H Yu, J Vaidya, X Jiang
Pacific-asia conference on knowledge discovery and data mining, 647-656, 2006
Privacy-preserving SVM classification
J Vaidya, H Yu, X Jiang
Knowledge and Information Systems 14 (2), 161-178, 2008
SVM Tutorial-Classification, Regression and Ranking.
H Yu, S Kim
Handbook of Natural computing 1, 479-506, 2012
Mining behavior graphs for “backtrace” of noncrashing bugs
C Liu, X Yan, H Yu, J Han, PS Yu
Proceedings of the 2005 SIAM international conference on data mining, 286-297, 2005
Scalable and parallelizable processing of influence maximization for large-scale social networks?
J Kim, SK Kim, H Yu
2013 IEEE 29th international conference on data engineering (ICDE), 266-277, 2013
Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods
BH Cho, H Yu, KW Kim, TH Kim, IY Kim, SI Kim
Artificial intelligence in medicine 42 (1), 37-53, 2008
Personality factors predicting smartphone addiction predisposition: Behavioral inhibition and activation systems, impulsivity, and self-control
Y Kim, JE Jeong, H Cho, DJ Jung, M Kwak, MJ Rho, H Yu, DJ Kim, ...
PloS one 11 (8), e0159788, 2016
Protecting location privacy using location semantics
B Lee, J Oh, H Yu, J Kim
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
SVM selective sampling for ranking with application to data retrieval
H Yu
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
Multilingual named entity recognition using parallel data and metadata from wikipedia
S Kim, K Toutanova, H Yu
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
Text classification from positive and unlabeled documents
H Yu, CX Zhai, J Han
Proceedings of the twelfth international conference on Information and …, 2003
Making SVMs scalable to large data sets using hierarchical cluster indexing
H Yu, J Yang, J Han, X Li
Data Mining and Knowledge Discovery 11 (3), 295-321, 2005
Novel recommendation based on personal popularity tendency
J Oh, S Park, H Yu, M Song, ST Park
2011 IEEE 11th International Conference on Data Mining, 507-516, 2011
Deep hybrid recommender systems via exploiting document context and statistics of items
D Kim, C Park, J Oh, H Yu
Information Sciences 417, 72-87, 2017
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