Zongxia Xie

Int. J. Mach. Learn. Cybern., July, 2024

Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation.

[BibT_eX]

[DOI]

Kaidi Hu

Image Vis. Comput., 2024

Hierarchical Classification Auxiliary Network for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation.

[BibT_eX]

[DOI]

Kaidi Hu

Comput. Graph., 2024

2023

AFRF: Angle Feature Retrieval Based Popularity Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multi-channel fusion graph neural network for multivariate time series forecasting.

[BibT_eX]

[DOI]

Yanzhe Chen

J. Comput. Sci., 2022

Uncertainty prediction and calibration using multi-expert gating mechanism.

[BibT_eX]

[DOI]

Kun Cao

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Emitting Word Timings with HMM-Free End-to-End System in Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Interval prediction for time series based on LSTM and mixed Gaussian distribution.

[BibT_eX]

[DOI]

Renhui Li

Hui Hu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Large-scale support vector regression with budgeted stochastic gradient descent.

[BibT_eX]

[DOI]

Yingda Li

Int. J. Mach. Learn. Cybern., 2019

Composite Quantile Regression Long Short-Term Memory Network.

[BibT_eX]

[DOI]

Hao Wen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Uncertain data classification with additive kernel support vector machine.

[BibT_eX]

[DOI]

Yong Xu

Data Knowl. Eng., 2018

2017

Joint L1-L2 Regularisation for Blind Speech Deconvolution.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

A Pixel-to-Pixel Convolutional Neural Network for Single Image Dehazing.

[BibT_eX]

[DOI]

Chengkai Zhu

Yucan Zhou

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

2016

Locally Weighted Ensemble Learning for Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

基于监督学习的日冕暗化检测与提取算法 (Coronal Dimming Detecting and Extracting Algorithm Based on Supervised Learning).

[BibT_eX]

[DOI]

计算机科学, 2015

Kernel ridge regression for general noise model with its application.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2014

Noise model based v-support vector regression with its application to short-term wind speed forecasting.

[BibT_eX]

[DOI]

Neural Networks, 2014

Sparse group LASSO based uncertain feature selection.

[BibT_eX]

[DOI]

Yong Xu

Int. J. Mach. Learn. Cybern., 2014

2012

Margin distribution based bagging pruning.

[BibT_eX]

[DOI]

Neurocomputing, 2012

2011

Neighborhood based sample and feature selection for SVM classification learning.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Visual Object Recognition with Bagging of One Class Support Vector Machines.

[BibT_eX]

[DOI]

Yong Xu

Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011

2008

Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures".

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2008

Neighborhood classifiers.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2008

2007

EROS: Ensemble rough subspaces.

[BibT_eX]

[DOI]

Pattern Recognit., 2007

Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation.

[BibT_eX]

[DOI]

Pattern Recognit., 2007

A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2007

Selecting Samples and Features for SVM Based on Neighborhood Model.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2007

Consistency Based Attribute Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006

Fuzzy Probabilistic Approximation Spaces and Their Information Measures.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2006

Information-preserving hybrid data reduction based on fuzzy-rough techniques.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2006

Improved Feature Selection Algorithm Based on SVM and Correlation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique.

[BibT_eX]

[DOI]

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Fuzzy Output Support Vector Machines for Classification.

[BibT_eX]

[DOI]