GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries L Mo, L Xie, X Jiang, G Teng, L Xu, J Xiao Applied Soft Computing 62, 478-490, 2018 | 91 | 2018 |
Entropic dynamic time warping kernels for co-evolving financial time series analysis L Bai, L Cui, Z Zhang, L Xu, Y Wang, ER Hancock IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1808-1822, 2020 | 39 | 2020 |
Efficient lossless compression based reversible data hiding using multilayered n‐bit localization R Abbasi, L Xu, F Amin, B Luo Security and communication networks 2019 (1), 8981240, 2019 | 38 | 2019 |
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network L Xu, X Wang, L Bai, J Xiao, Q Liu, E Chen, X Jiang, B Luo Pattern Recognition 106, 107373, 2020 | 36 | 2020 |
Deep rényi entropy graph kernel L Xu, L Bai, X Jiang, M Tan, D Zhang, B Luo Pattern Recognition 111, 107668, 2021 | 31 | 2021 |
A hybrid reproducing graph kernel based on information entropy L Xu, X Jiang, L Bai, J Xiao, B Luo Pattern Recognition 73, 89-98, 2018 | 27 | 2018 |
A new multilevel reversible bit-planes data hiding technique based on histogram shifting of efficient compressed domain R Abbasi, B Luo, G Rehman, H Hassan, MS Iqbal, L Xu Vietnam Journal of Computer Science 5, 185-196, 2018 | 25 | 2018 |
New benchmark for household garbage image recognition Z Wu, H Li, X Wang, Z Wu, L Zou, L Xu, M Tan Tsinghua Science and Technology 27 (5), 793-803, 2022 | 23 | 2022 |
Multiple graph kernel learning based on GMDH-type neural network L Xu, L Bai, J Xiao, Q Liu, E Chen, X Wang, Y Tang Information fusion 66, 100-110, 2021 | 21 | 2021 |
A local–global mixed kernel with reproducing property L Xu, X Niu, J Xie, A Abel, B Luo Neurocomputing 168, 190-199, 2015 | 18 | 2015 |
Semi-supervised multi-layer convolution kernel learning in credit evaluation L Xu, L Cui, T Weise, X Li, Z Wu, F Nie, E Chen, Y Tang Pattern Recognition 120, 108125, 2021 | 16 | 2021 |
Hybrid level set method based on image diffusion XF Wang, L Zou, LX Xu, G Lv, C Tang Neurocomputing 228, 53-64, 2017 | 15 | 2017 |
Hierarchical object detection for very high-resolution satellite images ZZ Wu, XF Wang, L Zou, LX Xu, XL Li, T Weise Applied Soft Computing 113, 107885, 2021 | 14 | 2021 |
A hybrid transfer learning model for crude oil price forecasting J Xiao, Y Hu, Y Xiao, L Xu, S Wang Statistics and its interface 10 (1), 119-130, 2017 | 14 | 2017 |
An efficient multiple kernel learning in reproducing kernel Hilbert spaces (RKHS) L Xu, B Luo, Y Tang, X Ma International Journal of Wavelets, Multiresolution and Information …, 2015 | 13 | 2015 |
Gaussian process image classification based on multi-layer convolution kernel function L Xu, B Zhou, X Li, Z Wu, Y Chen, X Wang, Y Tang Neurocomputing 480, 99-109, 2022 | 12 | 2022 |
Local-global nested graph kernels using nested complexity traces L Bai, L Cui, L Rossi, L Xu, X Bai, E Hancock Pattern Recognition Letters 134, 87-95, 2020 | 12 | 2020 |
A multiple attributes convolution kernel with reproducing property L Xu, X Chen, X Niu, C Zhang, B Luo Pattern Analysis and Applications 20, 485-494, 2017 | 11 | 2017 |
The de-noising method of threshold function based on wavelet K Yang, CX Deng, Y Chen, LX Xu 2014 International Conference on Wavelet Analysis and Pattern Recognition, 87-92, 2014 | 11 | 2014 |
Dynamic weighted histogram equalization for contrast enhancement using for Cancer Progression Detection in medical imaging R Abbasi, L Xu, Z Wang, GR Chughtai, F Amin, B Luo Proceedings of the 2018 International Conference on Signal Processing and …, 2018 | 10 | 2018 |