According to our database1, Xin Dang authored at least 24 papers between 2007 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Robust and Efficient Boosting Method Using the Conditional Risk.
IEEE Trans. Neural Netw. Learning Syst., 2018
Robust and Efficient Boosting Method using the Conditional Risk.
Pareto cascade modeling of diffusion networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Integration of Cancer Data through Multiple Mixed Graphical Model.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
An efficient movement and mental classification for children with autism based on motion and EEG features.
J. Ambient Intelligence and Humanized Computing, 2017
Label confidence based AdaBoost algorithm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
An image reconstruction framework based on deep neural network for electrical impedance tomography.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
A robust speech watermarking based on Quantization Index Modulation and Double Discrete Cosine Transform.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
Robust Model-Based Learning via Spatial-EM Algorithm.
IEEE Trans. Knowl. Data Eng., 2015
A generative Bayesian model to identify cancer driver genes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Financial ratio selection for business failure prediction using soft set theory.
Knowl.-Based Syst., 2014
Noise Power Spectral Density Estimation Using the Generalized Gamma Probability Density Function and Minimum Mean Square Error.
IEICE Transactions, 2014
Learning accurate and interpretable models based on regularized random forests regression.
BMC Systems Biology, 2014
Rule based regression and feature selection for biological data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Multiclass classification with potential function rules: Margin distribution and generalization.
Pattern Recognition, 2012
The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory.
Knowl.-Based Syst., 2012
Leveraging domain information to restructure biological prediction.
BMC Bioinformatics, 2011
Noise reduction using modified phase spectra and Wiener Filter.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Projection based scatter depth functions and associated scatter estimators.
J. Multivariate Analysis, 2010
Learning to rank using 1-norm regularization and convex hull reduction.
Proceedings of the 48th Annual Southeast Regional Conference, 2010
Outlier Detection with the Kernelized Spatial Depth Function.
IEEE Trans. Pattern Anal. Mach. Intell., 2009
Graph ranking for exploratory gene data analysis.
BMC Bioinformatics, 2009
Robust clustering in high dimensional data using statistical depths.
BMC Bioinformatics, 2007
Depth-Based Novelty Detection and Its Application to Taxonomic Research.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007