Shiliang Sun

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Semismooth Newton Algorithm for Efficient Projections onto ℓ<sub>1, ∞</sub>-norm Ball.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract).

[BibT_eX]

[DOI]

Xiao Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm.

[BibT_eX]

[DOI]

Daqing Chang

IEEE Trans. Neural Networks Learn. Syst., 2019

Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Multiview Learning With Generalized Eigenvalue Proximal Support Vector Machines.

[BibT_eX]

[DOI]

Chao Dong

IEEE Trans. Cybern., 2019

Multi-view Opinion Mining with Deep Learning.

[BibT_eX]

[DOI]

Ping Huang

Neural Process. Lett., 2019

Multi-view learning for visual violence recognition with maximum entropy discrimination and deep features.

[BibT_eX]

[DOI]

Yuhan Liu

Inf. Fusion, 2019

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization.

[BibT_eX]

[DOI]

Inf. Fusion, 2019

General multi-view learning with maximum entropy discrimination.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression.

[BibT_eX]

[DOI]

Shaojie He

Neurocomputing, 2019

Dynamical Sampling with Langevin Normalization Flows.

[BibT_eX]

[DOI]

Minghao Gu

Yan Liu

Entropy, 2019

Adversarial Attack with Pattern Replacement.

[BibT_eX]

[DOI]

Ziang Dong

CoRR, 2019

A Variant of Gaussian Process Dynamical Systems.

[BibT_eX]

[DOI]

Jingjing Fei

CoRR, 2019

Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling.

[BibT_eX]

[DOI]

Minghao Gu

CoRR, 2019

Online Anomaly Detection with Sparse Gaussian Processes.

[BibT_eX]

[DOI]

Jingjing Fei

CoRR, 2019

A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling.

[BibT_eX]

[DOI]

Ziang Dong

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Joint Type Inference on Entities and Relations via Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multiview Machine Learning

[BibT_eX]

[DOI]

Springer, ISBN: 978-981-13-3028-5, 2019

2018

Domain Adaptation with Twin Support Vector Machines.

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-view Learning and Deep Learning for Microscopic Neuroblastoma Pathology Image Diagnosis.

[BibT_eX]

[DOI]

Yuhan Liu

Minzhi Yin

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-label Active Learning with Conditional Bernoulli Mixtures.

[BibT_eX]

[DOI]

Junyu Chen

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

PAC-Bayes bounds for stable algorithms with instance-dependent priors.

[BibT_eX]

[DOI]

Omar Rivasplata

Csaba Szepesvári

Emilio Parrado-Hernández

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Intelligent Educational Data Analysis with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-view Deep Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Active Learning Methods with Deep Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Extracting Entities and Relations with Joint Minimum Risk Training.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Editorial: A Successful Year and Looking Forward to 2017 and Beyond.

[BibT_eX]

[DOI]

Dhireesha Kudithipudi

José Antonio Lozano

Teresa Bernarda Ludermir

IEEE Trans. Neural Networks Learn. Syst., 2017

Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Manifold Partition Discriminant Analysis.

[BibT_eX]

[DOI]

Yang Zhou

IEEE Trans. Cybern., 2017

Multi-view learning overview: Recent progress and new challenges.

[BibT_eX]

[DOI]

Inf. Fusion, 2017

PAC-Bayes analysis of multi-view learning.

[BibT_eX]

[DOI]

Inf. Fusion, 2017

A review of natural language processing techniques for opinion mining systems.

[BibT_eX]

[DOI]

Chen Luo

Junyu Chen

Inf. Fusion, 2017

PAC-Bayes bounds for twin support vector machines.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network Predictor.

[BibT_eX]

[DOI]

Yi Zhang

CoRR, 2017

A Survey on Multi-View Clustering.

[BibT_eX]

[DOI]

Jinbo Bi

CoRR, 2017

Multi-view Regularized Gaussian Processes.

[BibT_eX]

[DOI]

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

A Learning Error Analysis for Structured Prediction with Approximate Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Location Dependent Dirichlet Processes.

[BibT_eX]

[DOI]

John W. Paisley

Proceedings of the Intelligence Science and Big Data Engineering, 2017

Sparse Multimodal Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2017

Variational Mixtures of Gaussian Processes for Classification.

[BibT_eX]

[DOI]

Chen Luo

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Educational and Non-educational Text Classification Based on Deep Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Variational hidden conditional random fields with beta processes.

[BibT_eX]

[DOI]

Chen Luo

Proceedings of the 13th International Conference on Natural Computation, 2017

Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Alternative Multiview Maximum Entropy Discrimination.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2016

Multiview Uncorrelated Discriminant Analysis.

[BibT_eX]

[DOI]

Mo Yang

IEEE Trans. Cybern., 2016

Local Tangent Space Discriminant Analysis.

[BibT_eX]

[DOI]

Yang Zhou

Neural Process. Lett., 2016

Variational Dependent Multi-output Gaussian Process Dynamical Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Consensus and complementarity based maximum entropy discrimination for multi-view classification.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Multi-kernel maximum entropy discrimination for multi-view learning.

[BibT_eX]

[DOI]

Intell. Data Anal., 2016

Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Key Course Selection for Academic Early Warning Based on Gaussian Processes.

[BibT_eX]

[DOI]

Min Yin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Key Course Selection in Academic Warning with Sparse Regression.

[BibT_eX]

[DOI]

Min Yin

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Modeling and recognizing human trajectories with beta process hidden Markov models.

[BibT_eX]

[DOI]

Qingbin Gao

Pattern Recognit., 2015

A review of Nyström methods for large-scale machine learning.

[BibT_eX]

[DOI]

Inf. Fusion, 2015

A survey of multi-source domain adaptation.

[BibT_eX]

[DOI]

Honglei Shi

Yuanbin Wu

Inf. Fusion, 2015

Gaussian process versus margin sampling active learning.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Multitask centroid twin support vector machines.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Multi-view twin support vector machines.

[BibT_eX]

[DOI]

Intell. Data Anal., 2015

PAC-Bayes Analysis for Twin Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Uncorrelated transferable feature extraction for signal classification in brain-computer interfaces.

[BibT_eX]

[DOI]

Honglei Shi

Jinhua Xu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Sparse uncorrelated cross-domain feature extraction for signal classification in brain-computer interfaces.

[BibT_eX]

[DOI]

Honglei Shi

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Revisiting Gaussian Process Dynamical Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Online Learning Algorithm for Bilinear Models.

[BibT_eX]

[DOI]

Yuanbin Wu

Proceedings of the 32nd International Conference on Machine Learning, 2015

Kernel Local Fisher Discriminant Analysis-Based Prediction on Protein O-Glycosylation Sites Using SVM.

[BibT_eX]

[DOI]

Xuemei Yang

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Text detection in nature scene images using two-stage nontext filtering.

[BibT_eX]

[DOI]

Qingqing Wang

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

2014

Active learning of Gaussian processes with manifold-preserving graph reduction.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

Sparse Gaussian processes with manifold-preserving graph reduction.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Manifold-preserving graph reduction for sparse semi-supervised learning.

[BibT_eX]

[DOI]

Zakria Hussain

Neurocomputing, 2014

PAC-Bayes Analysis of Multi-view Learning.

[BibT_eX]

[DOI]

CoRR, 2014

Multi-view Laplacian twin support vector machines.

[BibT_eX]

[DOI]

Appl. Intell., 2014

Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition.

[BibT_eX]

[DOI]

Mo Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Supervised Bayesian sparse coding for classification.

[BibT_eX]

[DOI]

Jinhua Xu

Li Ding

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-task Sparse Gaussian Processes with Improved Multi-task Sparsity Regularization.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Improved Margin Sampling for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2013

Multitask multiclass support vector machines: Model and experiments.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

Semi-supervised feature extraction for EEG classification.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2013

A review of deterministic approximate inference techniques for Bayesian machine learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

A survey of multi-view machine learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Kernel regression with sparse metric learning.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2013

Transfer Learning with Part-Based Ensembles.

[BibT_eX]

[DOI]

Mo Yang

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Multi-View Maximum Entropy Discrimination.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Single-task and multitask sparse Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Multi-view clustering ensembles.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Infinite mixtures of multivariate Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Tangent space intrinsic manifold regularization for data representation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

Trajectory-based human activity recognition with hierarchical dirichlet process hidden Markov models.

[BibT_eX]

[DOI]

Qingbin Gao

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012

PAC-bayes bounds with data dependent priors.

[BibT_eX]

[DOI]

Emilio Parrado-Hernández

Amiran Ambroladze

J. Mach. Learn. Res., 2012

A subject transfer framework for EEG classification.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Dynamical ensemble learning with model-friendly classifiers for domain adaptation.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multitask multiclass privileged information support vector machines.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multi-source Transfer Learning with Multi-view Adaboost.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multitask Twin Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Sequential training of semi-supervised classification based on sparse Gaussian process regression.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Applying a multitask feature sparsity method for the classification of semantic relations between nominals.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction.

[BibT_eX]

[DOI]

Xin Xu

IEEE Trans. Intell. Transp. Syst., 2011

Multiple-View Multiple-Learner Semi-Supervised Learning.

[BibT_eX]

[DOI]

Neural Process. Lett., 2011

The stochastic approximation method for adaptive Bayesian classifiers: towards online brain-computer interfaces.

[BibT_eX]

[DOI]

Youguang Chen

Neural Comput. Appl., 2011

Robust Co-Training.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2011

Hierarchical Distance Metric Learning for Large Margin Nearest Neighbor Classification.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2011

A review of optimization methodologies in support vector machines.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Part-Based Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

View Construction for Multi-view Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Off-line Signature Verification Based on Multitask Learning.

[BibT_eX]

[DOI]

Jian Jin

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Sparse Kernel Regression for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Yan Liu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Network-Scale Traffic Modeling and Forecasting with Graphical Lasso.

[BibT_eX]

[DOI]

Dongyu Shi

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Semi-supervised feature extraction with local temporal regularization for EEG classification.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Multi-view Transfer Learning with Adaboost.

[BibT_eX]

[DOI]

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Transferable Discriminative Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Multitask Multiclass Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Data Mining Workshops (ICDMW), 2011

Multi-view Laplacian Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Local within-class accuracies for weighting individual outputs in multiple classifier systems.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2010

Multiple-view multiple-learner active learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

Sparse Semi-supervised Learning Using Conjugate Functions.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Active learning with extremely sparse labeled examples.

[BibT_eX]

[DOI]

David R. Hardoon

Neurocomputing, 2010

Extreme energy difference for feature extraction of EEG signals.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2010

Evolutionary classifier ensembles for semi-supervised learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

A Visual Attention Based Approach to Text Extraction.

[BibT_eX]

[DOI]

Qiaoyu Sun

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Nonlinear Combination of Multiple Kernels for Support Vector Machines.

[BibT_eX]

[DOI]

Jinbo Li

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Hierarchical Large Margin Nearest Neighbor Classification.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

An Algorithm on Multi-View Adaboost.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Importance Weighted Extreme Energy Ratio for EEG Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing. Models and Applications, 2010

Feature selection for ensembles using Non-dominated Sorting in Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Natural Computation, 2010

Multi-link traffic flow forecasting using neural networks.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Natural Computation, 2010

An adaptive k-nearest neighbor algorithm.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

An empirical evaluation of linear and nonlinear kernels for text classification using Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A Centroid <i>k</i>-Nearest Neighbor Method.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Spatial Filter Selection with LASSO for EEG Classification.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009

Ensembles of Feature Subspaces for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

Weighting Individual Classifiers by Local Within-Class Accuracies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Hierarchical Multi-view Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Traffic flow forecasting based on multitask ensemble learning.

[BibT_eX]

[DOI]

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals.

[BibT_eX]

[DOI]

Jinbo Li

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

The random electrode selection ensemble for EEG signal classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2008

Energy feature extraction of EEG signals and a case study.

[BibT_eX]

[DOI]

Jinbo Li

Proceedings of the International Joint Conference on Neural Networks, 2008

Neural network multitask learning for traffic flow forecasting.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

A Multitask Learning Approach to Face Recognition Based on Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Multitask learning for EEG-based biometrics.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Adaptive EEG signal classification using stochastic approximation methods.

[BibT_eX]

[DOI]

Man Lan

Proceedings of the IEEE International Conference on Acoustics, 2008

Classifying EEG signals in Fisher discriminant spaces by random electrode selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

The Extreme Energy Ratio Criterion for EEG Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

High Reliable Multi-View Semi-Supervised Learning with Extremely Sparse Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

The Selective Random Subspace Predictor for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2007

An experimental evaluation of ensemble methods for EEG signal classification.

[BibT_eX]

[DOI]

Dan Zhang

Pattern Recognit. Lett., 2007

Ensemble Learning Methods for Classifying EEG Signals.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

An Improved Random Subspace Method and Its Application to EEG Signal Classification.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006

A bayesian network approach to traffic flow forecasting.

[BibT_eX]

[DOI]

Guoqiang Yu

IEEE Trans. Intell. Transp. Syst., 2006

Adaptive feature extraction for EEG signal classification.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2006

An optimal kernel feature extractor and its application to EEG signal classification.

[BibT_eX]

[DOI]

Neurocomputing, 2006

2005

Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Assessing features for electroencephalographic signal categorization.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor.

[BibT_eX]

[DOI]

Yi Zhang

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces.

[BibT_eX]

[DOI]

Naijiang Lu

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 8th International Conference, 2005

2004

Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data.

[BibT_eX]

[DOI]