 | 2009 |
|---|
| 25 |       | Shiliang Sun,
Jinbo Li:
A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals.
ADMA 2009: 636-643 |
| 24 | | Shiliang Sun:
Traffic flow forecasting based on multitask ensemble learning.
GEC Summit 2009: 961-964 |
| 23 | | Shiliang Sun:
Weighting Individual Classifiers by Local Within-Class Accuracies.
ISNN (2) 2009: 802-809 |
| 22 | | Shiliang Sun:
Ensembles of Feature Subspaces for Object Detection.
ISNN (2) 2009: 996-1004 |
| 2008 |
|---|
| 21 | | Shiliang Sun:
The Extreme Energy Ratio Criterion for EEG Feature Extraction.
ICANN (2) 2008: 919-928 |
| 20 | | Shiliang Sun:
Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification.
ICDM Workshops 2008: 731-735 |
| 19 | | Shiliang Sun:
Multitask learning for EEG-based biometrics.
ICPR 2008: 1-4 |
| 18 | | Feng Jin,
Shiliang Sun:
A Multitask Learning Approach to Face Recognition Based on Neural Networks.
IDEAL 2008: 24-31 |
| 17 | | Shiliang Sun:
A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction.
IDEAL 2008: 321-329 |
| 16 | | Shiliang Sun,
Qiaona Chen:
Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting.
IDEAL 2008: 9-16 |
| 15 | | Feng Jin,
Shiliang Sun:
Neural network multitask learning for traffic flow forecasting.
IJCNN 2008: 1897-1901 |
| 14 | | Jinbo Li,
Shiliang Sun:
Energy feature extraction of EEG signals and a case study.
IJCNN 2008: 2366-2370 |
| 13 | | Shiliang Sun,
Changshui Zhang,
Yue Lu:
The random electrode selection ensemble for EEG signal classification.
Pattern Recognition 41(5): 1663-1675 (2008) |
| 2007 |
|---|
| 12 | | Shiliang Sun:
An Improved Random Subspace Method and Its Application to EEG Signal Classification.
MCS 2007: 103-112 |
| 11 | | Shiliang Sun:
Ensemble Learning Methods for Classifying EEG Signals.
MCS 2007: 113-120 |
| 10 | | Shiliang Sun,
Changshui Zhang:
The Selective Random Subspace Predictor for Traffic Flow Forecasting.
IEEE Transactions on Intelligent Transportation Systems 8(2): 367-373 (2007) |
| 9 | | Shiliang Sun,
Changshui Zhang,
Dan Zhang:
An experimental evaluation of ensemble methods for EEG signal classification.
Pattern Recognition Letters 28(15): 2157-2163 (2007) |
| 2006 |
|---|
| 8 | | Shiliang Sun,
Changshui Zhang,
Guoqiang Yu:
A bayesian network approach to traffic flow forecasting.
IEEE Transactions on Intelligent Transportation Systems 7(1): 124-132 (2006) |
| 7 | | Shiliang Sun,
Changshui Zhang:
An optimal kernel feature extractor and its application to EEG signal classification.
Neurocomputing 69(13-15): 1743-1748 (2006) |
| 2005 |
|---|
| 6 | | Shiliang Sun,
Changshui Zhang:
Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.
Discovery Science 2005: 215-226 |
| 5 | | Shiliang Sun,
Changshui Zhang,
Naijiang Lu:
On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces.
FSKD (2) 2005: 638-647 |
| 4 | | Shiliang Sun,
Changshui Zhang,
Yi Zhang:
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor.
ICANN (2) 2005: 273-278 |
| 3 | | Shiliang Sun,
Changshui Zhang:
Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting.
ICNC (2) 2005: 652-655 |
| 2004 |
|---|
| 2 | | Shiliang Sun,
Changshui Zhang,
Guoqiang Yu,
Naijiang Lu,
Fei Xiao:
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data.
ECML 2004: 419-428 |
| 1 | | Changshui Zhang,
Shiliang Sun,
Guoqiang Yu:
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data.
ISNN (2) 2004: 950-955 |
