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2020 – today
- 2020
[c30]Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng:
Probabilistic Value Selection for Space Efficient Model. MDM 2020: 148-157- [i1]Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng:
Probabilistic Value Selection for Space Efficient Model. CoRR abs/2007.04641 (2020)
2010 – 2019
- 2018
- [j10]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: 114-123 (2018) - [c29]Shu-I Chiu, Kuo-Wei Hsu:
Predicting Political Tendency of Posts on Facebook. ICSCA 2018: 110-114 - [c28]Shu-I Chiu, Kuo-Wei Hsu:
User Mining to Find Important Facebook Users. ICSCA 2018: 124-128 - 2017
- [j9]Kuo-Wei Hsu:
A Theoretical Analysis of Why Hybrid Ensembles Work. Comput. Intell. Neurosci. 2017: 1930702:1-1930702:12 (2017) - [j8]Shu-I Chiu, Kuo-Wei Hsu:
Efficiently Processing Skyline Query on Multi-Instance Data. J. Inf. Process. Syst. 13(5): 1277-1298 (2017) - [j7]Kuo-Wei Hsu:
Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage. Mob. Inf. Syst. 2017: 3689309:1-3689309:18 (2017) - [j6]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): 79:1-79:22 (2017) - [c27]Kuo-Wei Hsu:
Effectively mining time-constrained sequential patterns of smartphone application usage. IMCOM 2017: 39 - [c26]Kuo-Wei Hsu:
Heterogeneous AdaBoost with stochastic algorithm selection. IMCOM 2017: 40 - [c25]Shu-I Chiu, Kuo-Wei Hsu:
Information diffusion on Facebook: a case study of the sunflower student movement in Taiwan. IMCOM 2017: 48 - [c24]Che-Chia Chang, Shu-I Chiu, Kuo-Wei Hsu:
Predicting political affiliation of posts on Facebook. IMCOM 2017: 57 - [c23]Kuo-Wei Hsu:
Integrating adaptive boosting and support vector machines with varying kernels. IMCOM 2017: 88 - [c22]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: 460-471 - 2016
- [c21]Hsin-Ping Chen, Kuo-Wei Hsu, Shu-I Chiu:
Event Detection in an ego Network on Facebook. PACIS 2016: 172 - [c20]Shu-I Chiu, Kuo-Wei Hsu:
Skyline Query Processing for Rating Data. PACIS 2016: 305 - [c19]Gunarto Sindoro Njoo, Chien-Hsiang Lai, Kuo-Wei Hsu:
Exploring multi-view learning for activity inferences on smartphones. TAAI 2016: 212-219 - 2015
- [c18]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: 1-10 - [c17]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: 65-68 - 2014
- [j5]Kuo-Wei Hsu:
On Adjustment Functions for Weight-Adjusted Voting-Based Ensembles of Classifiers. J. Comput. 9(7): 1547-1552 (2014) - [j4]Yi-Peng Lin, Kuo-Wei Hsu:
Using Color Difference with Shape Context for Logo Recognition. J. Softw. 9(8): 2188-2193 (2014) - [c16]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: 319-325 - [c15]Tsung-Hao Hsu, Chien-Cheng Chen, Meng-Fen Chiang, Kuo-Wei Hsu, Wen-Chih Peng:
Inferring potential users in mobile social networks. DSAA 2014: 347-353 - [c14]Yi-Peng Lin, Kuo-Wei Hsu:
Dealing with Noisy Data on Point Cloud Models. ISM 2014: 255-258 - 2013
- [c13]Hong-Che Lin, Kuo-Wei Hsu:
An empirical study of concept drift detection for the prediction of TAIEX futures. IWCIA 2013: 155-160 - 2012
- [j3]Kuo-Wei Hsu, Jaideep Srivastava:
Improving bagging performance through multi-algorithm ensembles. Frontiers Comput. Sci. 6(5): 498-512 (2012) - [c12]Hong-Che Lin, Kuo-Wei Hsu:
An empirical study of applying data mining techniques to the prediction of TAIEX Futures. GrC 2012: 277-282 - 2011
- [c11]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: 438-442 - [c10]Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava:
Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs). ASONAM 2011: 561-562 - [c9]Kuo-Wei Hsu, Jaideep Srivastava:
Improving Bagging Performance through Multi-algorithm Ensembles. PAKDD Workshops 2011: 471-482 - [c8]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: 135-140 - [c7]Zoheb Borbora, Jaideep Srivastava, Kuo-Wei Hsu, Dmitri Williams:
Churn Prediction in MMORPGs Using Player Motivation Theories and an Ensemble Approach. SocialCom/PASSAT 2011: 157-164 - [c6]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: 617-620 - 2010
- [j2]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): 935-957 (2010) - [c5]Kuo-Wei Hsu, Jaideep Srivastava:
Relationship between Diversity and Correlation in Multi-Classifier Systems. PAKDD (2) 2010: 500-506
2000 – 2009
- 2009
- [c4]Kuo-Wei Hsu, Jaideep Srivastava:
An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data. PAKDD Workshops 2009: 28-39 - [c3]Kuo-Wei Hsu, Jaideep Srivastava:
Diversity in Combinations of Heterogeneous Classifiers. PAKDD 2009: 923-932 - 2008
- [c2]Kuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava:
I/O Scalable Bregman Co-clustering. PAKDD 2008: 896-903 - 2006
- [j1]Kuo-Wei Hsu:
Design a Jini-based Service Broker for Dynamic Service Combination Framework. J. Softw. 1(3): 32-39 (2006) - [c1]Kuo-Wei Hsu:
Design a jini-based service broker for home networking. CCNC 2006: 1008-1012
Coauthor Index
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