Kuo-Wei Hsu

41 papers B 8C 2Misc 1Journal 11Unranked 19
YearRankTypeTitle / Venue / Authors
2020 B conf
Probabilistic Value Selection for Space Efficient Model.
MDM
Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng
2020 J jnl
Probabilistic Value Selection for Space Efficient Model.
CoRR
Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng
2018 J jnl
Distinguishing friends from strangers in location-based social networks using co-location.
Pervasive Mob. Comput.
Gunarto Sindoro Njoo, Kuo-Wei Hsu, Wen-Chih Peng
2018 — conf
Predicting Political Tendency of Posts on Facebook.
ICSCA
Shu-I Chiu, Kuo-Wei Hsu
2018 — conf
User Mining to Find Important Facebook Users.
ICSCA
Shu-I Chiu, Kuo-Wei Hsu
2017 J jnl
A Theoretical Analysis of Why Hybrid Ensembles Work.
Comput. Intell. Neurosci.
Kuo-Wei Hsu
2017 — conf
Effectively mining time-constrained sequential patterns of smartphone application usage.
IMCOM
Kuo-Wei Hsu
2017 J jnl
Efficiently Processing Skyline Query on Multi-Instance Data.
J. Inf. Process. Syst.
Shu-I Chiu, Kuo-Wei Hsu
2017 J jnl
Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage.
Mob. Inf. Syst.
Kuo-Wei Hsu
2017 — conf
Exploring Check-in Data to Infer Social Ties in Location Based Social Networks.
PAKDD (1)
Gunarto Sindoro Njoo, Min-Chia Kao, Kuo-Wei Hsu, Wen-Chih Peng
2017 J jnl
Exploring Communication Behaviors of Users to Target Potential Users in Mobile Social Networks.
ACM Trans. Intell. Syst. Technol.
Chien-Cheng Chen, Kuo-Wei Hsu, Wen-Chih Peng
2017 — conf
Heterogeneous AdaBoost with stochastic algorithm selection.
IMCOM
Kuo-Wei Hsu
2017 — conf
Information diffusion on Facebook: a case study of the sunflower student movement in Taiwan.
IMCOM
Shu-I Chiu, Kuo-Wei Hsu
2017 — conf
Integrating adaptive boosting and support vector machines with varying kernels.
IMCOM
Kuo-Wei Hsu
2017 — conf
Predicting political affiliation of posts on Facebook.
IMCOM
Che-Chia Chang, Shu-I Chiu, Kuo-Wei Hsu
2016 — conf
Event Detection in an ego Network on Facebook.
PACIS
Hsin-Ping Chen, Kuo-Wei Hsu, Shu-I Chiu
2016 — conf
Exploring multi-view learning for activity inferences on smartphones.
TAAI
Gunarto Sindoro Njoo, Chien-Hsiang Lai, Kuo-Wei Hsu
2016 — conf
Skyline Query Processing for Rating Data.
PACIS
Shu-I Chiu, Kuo-Wei Hsu
2015 B conf
A fusion-based approach for user activities recognition on smart phones.
DSAA
Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo-Wei Hsu, Wen-Chih Peng
2015 — conf
Inferring user activities from spatial-temporal data in mobile phones.
UbiComp/ISWC Adjunct
Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo-Wei Hsu, Wen-Chih Peng
2014 C conf
Dealing with Noisy Data on Point Cloud Models.
ISM
Yi-Peng Lin, Kuo-Wei Hsu
2014 B conf
Inferring potential users in mobile social networks.
DSAA
Tsung-Hao Hsu, Chien-Cheng Chen, Meng-Fen Chiang, Kuo-Wei Hsu, Wen-Chih Peng
2014 J jnl
On Adjustment Functions for Weight-Adjusted Voting-Based Ensembles of Classifiers.
J. Comput.
Kuo-Wei Hsu
2014 B conf
On selecting feature-value pairs on smart phones for activity inferences.
DSAA
Gunarto Sindoro Njoo, Yu-Hsiang Peng, Kuo-Wei Hsu, Wen-Chih Peng
2014 J jnl
Using Color Difference with Shape Context for Logo Recognition.
J. Softw.
Yi-Peng Lin, Kuo-Wei Hsu
2013 C conf
An empirical study of concept drift detection for the prediction of TAIEX futures.
IWCIA
Hong-Che Lin, Kuo-Wei Hsu
2012 Misc conf
An empirical study of applying data mining techniques to the prediction of TAIEX Futures.
GrC
Hong-Che Lin, Kuo-Wei Hsu
2012 J jnl
Improving bagging performance through multi-algorithm ensembles.
Frontiers Comput. Sci.
Kuo-Wei Hsu, Jaideep Srivastava
2011 — conf
An Exploratory Study of Player Performance, Motivation, and Enjoyment in Massively Multiplayer Online Role-Playing Games.
SocialCom/PASSAT
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
2011 — conf
An Exploratory Study of Player and Team Performance in Multiplayer First-Person-Shooter Games.
SocialCom/PASSAT
Kyong Jin Shim, Kuo-Wei Hsu, Samarth Damania, Colin DeLong, Jaideep Srivastava
2011 — conf
Churn Prediction in MMORPGs Using Player Motivation Theories and an Ensemble Approach.
SocialCom/PASSAT
Zoheb Borbora, Jaideep Srivastava, Kuo-Wei Hsu, Dmitri Williams
2011 B conf
Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs).
ASONAM
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
2011 — conf
Improving Bagging Performance through Multi-algorithm Ensembles.
PAKDD Workshops
Kuo-Wei Hsu, Jaideep Srivastava
2011 B conf
Modeling Player Performance in Massively Multiplayer Online Role-Playing Games: The Effects of Diversity in Mentoring Network.
ASONAM
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
2010 — conf
Relationship between Diversity and Correlation in Multi-Classifier Systems.
PAKDD (2)
Kuo-Wei Hsu, Jaideep Srivastava
2010 J jnl
Unsupervised Learning Based Distributed Detection of Global Anomalies.
Int. J. Inf. Technol. Decis. Mak.
Junlin Zhou, Aleksandar Lazarevic, Kuo-Wei Hsu, Jaideep Srivastava, Yan Fu, Yue Wu
2009 — conf
An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data.
PAKDD Workshops
Kuo-Wei Hsu, Jaideep Srivastava
2009 B conf
Diversity in Combinations of Heterogeneous Classifiers.
PAKDD
Kuo-Wei Hsu, Jaideep Srivastava
2008 B conf
I/O Scalable Bregman Co-clustering.
PAKDD
Kuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava
2006 J jnl
Design a Jini-based Service Broker for Dynamic Service Combination Framework.
J. Softw.
Kuo-Wei Hsu
2006 — conf
Design a jini-based service broker for home networking.
CCNC
Kuo-Wei Hsu