Hwanjo Yu
Cited by
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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
SVM Tutorial-Classification, Regression and Ranking.
H Yu, S Kim
Handbook of Natural computing 1, 479-506, 2012
Privacy-preserving svm classification on vertically partitioned data
H Yu, J Vaidya, X Jiang
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006
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
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
Unsupervised attributed multiplex network embedding
C Park, D Kim, J Han, H Yu
Proceedings of the AAAI conference on artificial intelligence 34 (04), 5371-5378, 2020
Privacy-preserving SVM classification
J Vaidya, H Yu, X Jiang
Knowledge and Information Systems 14, 161-178, 2008
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
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
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
Semi-supervised learning for cross-domain recommendation to cold-start users
SK Kang, J Hwang, D Lee, H Yu
Proceedings of the 28th ACM international conference on information and …, 2019
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
Federated tensor factorization for computational phenotyping
Y Kim, J Sun, H Yu, X Jiang
Proceedings of the 23rd ACM SIGKDD International conference on knowledge …, 2017
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
SVM selective sampling for ranking with application to data retrieval
H Yu
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
Dilof: Effective and memory efficient local outlier detection in data streams
GS Na, D Kim, H Yu
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
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