Kuo-Wei Hsu

Publication Activity (10 Years)

Years Active: 2006-2020
Publications (10 Years): 18

Top Topics

Color Difference

Sequential Patterns

Social Networks

Top Venues

Publications

Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng
Probabilistic Value Selection for Space Efficient Model. MDM (2020)
Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng
Probabilistic Value Selection for Space Efficient Model. CoRR (2020)
Gunarto Sindoro Njoo, Kuo-Wei Hsu, Wen-Chih Peng
Distinguishing friends from strangers in location-based social networks using co-location. Pervasive Mob. Comput. 50 (2018)
Shu-I Chiu, Kuo-Wei Hsu
Predicting Political Tendency of Posts on Facebook. ICSCA (2018)
Shu-I Chiu, Kuo-Wei Hsu
User Mining to Find Important Facebook Users. ICSCA (2018)
Che-Chia Chang, Shu-I Chiu, Kuo-Wei Hsu
Predicting political affiliation of posts on Facebook. IMCOM (2017)
Chien-Cheng Chen, Kuo-Wei Hsu, Wen-Chih Peng
Exploring Communication Behaviors of Users to Target Potential Users in Mobile Social Networks. ACM Trans. Intell. Syst. Technol. 8 (6) (2017)
Kuo-Wei Hsu
Heterogeneous AdaBoost with stochastic algorithm selection. IMCOM (2017)
Gunarto Sindoro Njoo, Min-Chia Kao, Kuo-Wei Hsu, Wen-Chih Peng
Exploring Check-in Data to Infer Social Ties in Location Based Social Networks. PAKDD (1) (2017)
Shu-I Chiu, Kuo-Wei Hsu
Efficiently Processing Skyline Query on Multi-Instance Data. J. Inf. Process. Syst. 13 (5) (2017)
Shu-I Chiu, Kuo-Wei Hsu
Information diffusion on Facebook: a case study of the sunflower student movement in Taiwan. IMCOM (2017)
Kuo-Wei Hsu
Integrating adaptive boosting and support vector machines with varying kernels. IMCOM (2017)
Kuo-Wei Hsu
Effectively mining time-constrained sequential patterns of smartphone application usage. IMCOM (2017)
Kuo-Wei Hsu
Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage. Mob. Inf. Syst. 2017 (2017)
Kuo-Wei Hsu
A Theoretical Analysis of Why Hybrid Ensembles Work. Comput. Intell. Neurosci. 2017 (2017)
Shu-I Chiu, Kuo-Wei Hsu
Skyline Query Processing for Rating Data. PACIS (2016)
Gunarto Sindoro Njoo, Chien-Hsiang Lai, Kuo-Wei Hsu
Exploring multi-view learning for activity inferences on smartphones. TAAI (2016)
Hsin-Ping Chen, Kuo-Wei Hsu, Shu-I Chiu
Event Detection in an ego Network on Facebook. PACIS (2016)
Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo-Wei Hsu, Wen-Chih Peng
A fusion-based approach for user activities recognition on smart phones. DSAA (2015)
Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo-Wei Hsu, Wen-Chih Peng
Inferring user activities from spatial-temporal data in mobile phones. UbiComp/ISWC Adjunct (2015)
Yi-Peng Lin, Kuo-Wei Hsu
Using Color Difference with Shape Context for Logo Recognition. J. Softw. 9 (8) (2014)
Yi-Peng Lin, Kuo-Wei Hsu
Dealing with Noisy Data on Point Cloud Models. ISM (2014)
Gunarto Sindoro Njoo, Yu-Hsiang Peng, Kuo-Wei Hsu, Wen-Chih Peng
On selecting feature-value pairs on smart phones for activity inferences. DSAA (2014)
Kuo-Wei Hsu
On Adjustment Functions for Weight-Adjusted Voting-Based Ensembles of Classifiers. J. Comput. 9 (7) (2014)
Tsung-Hao Hsu, Chien-Cheng Chen, Meng-Fen Chiang, Kuo-Wei Hsu, Wen-Chih Peng
Inferring potential users in mobile social networks. DSAA (2014)
Hong-Che Lin, Kuo-Wei Hsu
An empirical study of concept drift detection for the prediction of TAIEX futures. IWCIA (2013)
Kuo-Wei Hsu, Jaideep Srivastava
Improving bagging performance through multi-algorithm ensembles. Frontiers Comput. Sci. 6 (5) (2012)
Hong-Che Lin, Kuo-Wei Hsu
An empirical study of applying data mining techniques to the prediction of TAIEX Futures. GrC (2012)
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
Modeling Player Performance in Massively Multiplayer Online Role-Playing Games: The Effects of Diversity in Mentoring Network. ASONAM (2011)
Kuo-Wei Hsu, Jaideep Srivastava
Improving Bagging Performance through Multi-algorithm Ensembles. PAKDD Workshops (2011)
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs). ASONAM (2011)
Kyong Jin Shim, Kuo-Wei Hsu, Samarth Damania, Colin DeLong, Jaideep Srivastava
An Exploratory Study of Player and Team Performance in Multiplayer First-Person-Shooter Games. SocialCom/PASSAT (2011)
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
An Exploratory Study of Player Performance, Motivation, and Enjoyment in Massively Multiplayer Online Role-Playing Games. SocialCom/PASSAT (2011)
Zoheb Borbora, Jaideep Srivastava, Kuo-Wei Hsu, Dmitri Williams
Churn Prediction in MMORPGs Using Player Motivation Theories and an Ensemble Approach. SocialCom/PASSAT (2011)
Kuo-Wei Hsu, Jaideep Srivastava
Relationship between Diversity and Correlation in Multi-Classifier Systems. PAKDD (2) (2010)
Junlin Zhou, Aleksandar Lazarevic, Kuo-Wei Hsu, Jaideep Srivastava, Yan Fu, Yue Wu
Unsupervised Learning Based Distributed Detection of Global Anomalies. Int. J. Inf. Technol. Decis. Mak. 9 (6) (2010)
Kuo-Wei Hsu, Jaideep Srivastava
Diversity in Combinations of Heterogeneous Classifiers. PAKDD (2009)
Kuo-Wei Hsu, Jaideep Srivastava
An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data. PAKDD Workshops (2009)
Kuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava
I/O Scalable Bregman Co-clustering. PAKDD (2008)
Kuo-Wei Hsu
Design a Jini-based Service Broker for Dynamic Service Combination Framework. J. Softw. 1 (3) (2006)
Kuo-Wei Hsu
Design a jini-based service broker for home networking. CCNC (2006)