Network Analysis and Visualisation of Opioid Prescribing Data.
IEEE J. Biomed. Health Informatics, 2020
Logistic Regression Region Weighting for Weakly Supervised Object Localization.
IEEE Access, 2019
Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Intra-task Curriculum Learning for Faster Reinforcement Learning in Video Games.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Instance Annotation via Optimal BoW for Weakly Supervised Object Localization.
IEEE Trans. Cybern., 2017
Active learning via query synthesis and nearest neighbour search.
Neurocomputing, 2015
Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification (Extended Abstract).
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Detecting Anomalies in Controlled Drug Prescription Data Using Probabilistic Models.
Proceedings of the Artificial Life and Computational Intelligence, 2015
Weakly supervised object localization via maximal entropy random walk.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification.
IEEE Intell. Syst., 2013
Instance Selection and Instance Weighting for Cross-Domain Sentiment Classification via PU Learning.
Proceedings of the IJCAI 2013, 2013
Dual Training and Dual Prediction for Polarity Classification.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
Understanding the Top Grass Roots in Sina-Weibo.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
Querying representative points from a pool based on synthesized queries.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Discriminative Canonical Correlation Analysis with Missing Samples.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
Investigation on Sparse Kernel Density Estimator Via Harmony Data Smoothing Learning.
Proceedings of the Advances in Neural Networks, 2007
A Comparative Investigation on Model Selection in Independent Factor Analysis.
J. Math. Model. Algorithms, 2006
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A Comparative Investigation on Model Selection in Binary Factor Analysis.
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005
A comparative investigation on subspace dimension determination.
Neural Networks, 2004
Automatic Cluster Number Determination via BYY Harmony Learning.
Proceedings of the Advances in Neural Networks, 2004
A Comparative Study of Several Cluster Number Selection Criteria.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003