Design a jini-based service broker for home networking. - Kuo-Wei Hsu (CCNC, 2006)

Design a Jini-based Service Broker for Dynamic Service Combination Framework. - Kuo-Wei Hsu (J. Softw., 2006)

I/O Scalable Bregman Co-clustering. - Kuo-Wei Hsu; Arindam Banerjee 001; Jaideep Srivastava (PAKDD, 2008)

Diversity in Combinations of Heterogeneous Classifiers. - Kuo-Wei Hsu; Jaideep Srivastava (PAKDD, 2009)

An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data. - Kuo-Wei Hsu; Jaideep Srivastava (PAKDD Workshops, 2009)

Relationship between Diversity and Correlation in Multi-Classifier Systems. - Kuo-Wei Hsu; Jaideep Srivastava (PAKDD (2), 2010)

Unsupervised Learning Based Distributed Detection of Global Anomalies. - Junlin Zhou; Aleksandar Lazarevic; Kuo-Wei Hsu; Jaideep Srivastava; Yan Fu; Yue Wu (Int. J. Inf. Technol. Decis. Mak., 2010)

Modeling Player Performance in Massively Multiplayer Online Role-Playing Games: The Effects of Diversity in Mentoring Network. - Kyong Jin Shim; Kuo-Wei Hsu; Jaideep Srivastava (ASONAM, 2011)

Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs). - Kyong Jin Shim; Kuo-Wei Hsu; Jaideep Srivastava (ASONAM, 2011)

Churn Prediction in MMORPGs Using Player Motivation Theories and an Ensemble Approach. - Zoheb Borbora; Jaideep Srivastava; Kuo-Wei Hsu; Dmitri Williams (SocialCom/PASSAT, 2011)

An Exploratory Study of Player and Team Performance in Multiplayer First-Person-Shooter Games. - Kyong Jin Shim; Kuo-Wei Hsu; Samarth Damania; Colin DeLong; Jaideep Srivastava (SocialCom/PASSAT, 2011)

An Exploratory Study of Player Performance, Motivation, and Enjoyment in Massively Multiplayer Online Role-Playing Games. - Kyong Jin Shim; Kuo-Wei Hsu; Jaideep Srivastava (SocialCom/PASSAT, 2011)

An empirical study of applying data mining techniques to the prediction of TAIEX Futures. - Hong-Che Lin; Kuo-Wei Hsu (GrC, 2012)

Improving bagging performance through multi-algorithm ensembles. - Kuo-Wei Hsu; Jaideep Srivastava (Frontiers Comput. Sci., 2012)

An empirical study of concept drift detection for the prediction of TAIEX futures. - Hong-Che Lin; Kuo-Wei Hsu (IWCIA, 2013)

Inferring potential users in mobile social networks. - Tsung-Hao Hsu; Chien-Cheng Chen; Meng-Fen Chiang; Kuo-Wei Hsu; Wen-Chih Peng (DSAA, 2014)

On selecting feature-value pairs on smart phones for activity inferences. - Gunarto Sindoro Njoo; Yu-Hsiang Peng; Kuo-Wei Hsu; Wen-Chih Peng (DSAA, 2014)

Dealing with Noisy Data on Point Cloud Models. - Yi-Peng Lin; Kuo-Wei Hsu (ISM, 2014)

On Adjustment Functions for Weight-Adjusted Voting-Based Ensembles of Classifiers. - Kuo-Wei Hsu (J. Comput., 2014)

Using Color Difference with Shape Context for Logo Recognition. - Yi-Peng Lin; Kuo-Wei Hsu (J. Softw., 2014)

A fusion-based approach for user activities recognition on smart phones. - Gunarto Sindoro Njoo; Xiao Wen Ruan; Kuo-Wei Hsu; Wen-Chih Peng (DSAA, 2015)

Inferring user activities from spatial-temporal data in mobile phones. - Gunarto Sindoro Njoo; Xiao Wen Ruan; Kuo-Wei Hsu; Wen-Chih Peng (UbiComp/ISWC Adjunct, 2015)

Event Detection in an ego Network on Facebook. - Hsin-Ping Chen; Kuo-Wei Hsu; Shu-I Chiu (PACIS, 2016)

Skyline Query Processing for Rating Data. - Shu-I Chiu; Kuo-Wei Hsu (PACIS, 2016)

Exploring multi-view learning for activity inferences on smartphones. - Gunarto Sindoro Njoo; Chien-Hsiang Lai; Kuo-Wei Hsu (TAAI, 2016)

Predicting political affiliation of posts on Facebook. - Che-Chia Chang; Shu-I Chiu; Kuo-Wei Hsu (IMCOM, 2017)

Information diffusion on Facebook: a case study of the sunflower student movement in Taiwan. - Shu-I Chiu; Kuo-Wei Hsu (IMCOM, 2017)

Effectively mining time-constrained sequential patterns of smartphone application usage. - Kuo-Wei Hsu (IMCOM, 2017)

Heterogeneous AdaBoost with stochastic algorithm selection. - Kuo-Wei Hsu (IMCOM, 2017)

Integrating adaptive boosting and support vector machines with varying kernels. - Kuo-Wei Hsu (IMCOM, 2017)

Exploring Check-in Data to Infer Social Ties in Location Based Social Networks. - Gunarto Sindoro Njoo; Min-Chia Kao; Kuo-Wei Hsu; Wen-Chih Peng (PAKDD (1), 2017)

A Theoretical Analysis of Why Hybrid Ensembles Work. - Kuo-Wei Hsu (Comput. Intell. Neurosci., 2017)

Efficiently Processing Skyline Query on Multi-Instance Data. - Shu-I Chiu; Kuo-Wei Hsu (J. Inf. Process. Syst., 2017)

Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage. - Kuo-Wei Hsu (Mob. Inf. Syst., 2017)

Exploring Communication Behaviors of Users to Target Potential Users in Mobile Social Networks. - Chien-Cheng Chen; Kuo-Wei Hsu; Wen-Chih Peng (ACM Trans. Intell. Syst. Technol., 2017)

Predicting Political Tendency of Posts on Facebook. - Shu-I Chiu; Kuo-Wei Hsu (ICSCA, 2018)

User Mining to Find Important Facebook Users. - Shu-I Chiu; Kuo-Wei Hsu (ICSCA, 2018)

Distinguishing friends from strangers in location-based social networks using co-location. - Gunarto Sindoro Njoo; Kuo-Wei Hsu; Wen-Chih Peng (Pervasive Mob. Comput., 2018)

Probabilistic Value Selection for Space Efficient Model. - Gunarto Sindoro Njoo; Baihua Zheng; Kuo-Wei Hsu; Wen-Chih Peng (MDM, 2020)