Kuo-Wei Hsu

According to our database, Kuo-Wei Hsu authored at least 39 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Probabilistic Value Selection for Space Efficient Model.

Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

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

User Mining to Find Important Facebook Users.

Shu-I Chiu, Kuo-Wei Hsu

Proceedings of the 7th International Conference on Software and Computer Applications, 2018

Predicting Political Tendency of Posts on Facebook.

Shu-I Chiu, Kuo-Wei Hsu

Proceedings of the 7th International Conference on Software and Computer Applications, 2018

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

Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage.

Kuo-Wei Hsu

Mob. Inf. Syst., 2017

Efficiently Processing Skyline Query on Multi-Instance Data.

Shu-I Chiu, Kuo-Wei Hsu

J. Inf. Process. Syst., 2017

A Theoretical Analysis of Why Hybrid Ensembles Work.

Kuo-Wei Hsu

Comput. Intell. Neurosci., 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Integrating adaptive boosting and support vector machines with varying kernels.

Kuo-Wei Hsu

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

Heterogeneous AdaBoost with stochastic algorithm selection.

Kuo-Wei Hsu

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

Effectively mining time-constrained sequential patterns of smartphone application usage.

Kuo-Wei Hsu

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

Information diffusion on Facebook: a case study of the sunflower student movement in Taiwan.

Shu-I Chiu, Kuo-Wei Hsu

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

Predicting political affiliation of posts on Facebook.

Che-Chia Chang, Shu-I Chiu, Kuo-Wei Hsu

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

2016

Exploring multi-view learning for activity inferences on smartphones.

Gunarto Sindoro Njoo, Chien-Hsiang Lai, Kuo-Wei Hsu

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

Skyline Query Processing for Rating Data.

Shu-I Chiu, Kuo-Wei Hsu

Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

Event Detection in an ego Network on Facebook.

Hsin-Ping Chen, Kuo-Wei Hsu, Shu-I Chiu

Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

2015

Inferring user activities from spatial-temporal data in mobile phones.

Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo-Wei Hsu, Wen-Chih Peng

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

A fusion-based approach for user activities recognition on smart phones.

Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo-Wei Hsu, Wen-Chih Peng

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Using Color Difference with Shape Context for Logo Recognition.

Yi-Peng Lin, Kuo-Wei Hsu

J. Softw., 2014

On Adjustment Functions for Weight-Adjusted Voting-Based Ensembles of Classifiers.

Kuo-Wei Hsu

J. Comput., 2014

Dealing with Noisy Data on Point Cloud Models.

Yi-Peng Lin, Kuo-Wei Hsu

Proceedings of the 2014 IEEE International Symposium on Multimedia, 2014

On selecting feature-value pairs on smart phones for activity inferences.

Gunarto Sindoro Njoo, Yu-Hsiang Peng, Kuo-Wei Hsu, Wen-Chih Peng

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Inferring potential users in mobile social networks.

Tsung-Hao Hsu, Chien-Cheng Chen, Meng-Fen Chiang, Kuo-Wei Hsu, Wen-Chih Peng

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

An empirical study of concept drift detection for the prediction of TAIEX futures.

Hong-Che Lin, Kuo-Wei Hsu

Proceedings of the IEEE 6th International Workshop on Computational Intelligence and Applications, 2013

2012

Improving bagging performance through multi-algorithm ensembles.

Kuo-Wei Hsu, Jaideep Srivastava

Frontiers Comput. Sci., 2012

An empirical study of applying data mining techniques to the prediction of TAIEX Futures.

Hong-Che Lin, Kuo-Wei Hsu

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

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

Proceedings of the PASSAT/SocialCom 2011, Privacy, 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

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Churn Prediction in MMORPGs Using Player Motivation Theories and an Ensemble Approach.

Zoheb Borbora, Jaideep Srivastava, Kuo-Wei Hsu, Dmitri Williams

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs).

Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

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

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

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

Relationship between Diversity and Correlation in Multi-Classifier Systems.

Kuo-Wei Hsu, Jaideep Srivastava

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

2009

An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data.

Kuo-Wei Hsu, Jaideep Srivastava

Proceedings of the New Frontiers in Applied Data Mining, 2009

Diversity in Combinations of Heterogeneous Classifiers.

Kuo-Wei Hsu, Jaideep Srivastava

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008

I/O Scalable Bregman Co-clustering.

Kuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2006

Design a Jini-based Service Broker for Dynamic Service Combination Framework.

Kuo-Wei Hsu

J. Softw., 2006

Design a jini-based service broker for home networking.

Kuo-Wei Hsu

Proceedings of the 3rd IEEE Consumer Communications and Networking Conference, 2006