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Neurocomputing, Volume 370
Volume 370, December 2019
- Andrea Apicella
, Francesco Isgrò
A simple and efficient architecture for trainable activation functions. 1-15 - Mingbo Zhao, Yue Zhang, Zhao Zhang
ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning. 16-27 - Jianmei Su, Hong Cheng, Hongliang Guo, Zhinan Peng:
Robust Quadratic Programming for MDPs with uncertain observation noise. 28-38 - Hao Wu, Zhengxing Sun
Direction-aware neural style transfer with texture enhancement. 39-55 - Amir H. Ashouri
Retraining-free methods for fast on-the-fly pruning of convolutional neural networks. 56-69 - Lizhao Gao
SDANet: A stacked dense adaptive network for real-time and accurate super resolution. 70-77 - Shuai Guo, Lin Feng, Zhanbo Feng, Yi-Hao Li, Yang Wang, Sheng-lan Liu, Hong Qiao:
Multi-view laplacian least squares for human emotion recognition. 78-87 - Xiao-Nan Fan, Shao-Wu Zhang:
LPI-BLS: Predicting lncRNA-protein interactions with a broad learning system-based stacked ensemble classifier. 88-93 - Cheng Cheng, Ying Zhang, Songyong Liu
Neural observer-based adaptive prescribed performance control for uncertain nonlinear systems with input saturation. 94-103 - Adrián Sánchez-Morales, José-Luis Sancho-Gómez
Exploiting label information to improve auto-encoding based classifiers. 104-108 - Jiagang Zhu
Convolutional relation network for skeleton-based action recognition. 109-117 - Tao Jin
Recurrent convolutional video captioning with global and local attention. 118-127 - Zhenglai Li, Chang Tang
Diversity and consistency learning guided spectral embedding for multi-view clustering. 128-139 - Jie Xiao, Weifeng Ma, Jungang Lou
Circuit reliability prediction based on deep autoencoder network. 140-154 - Huy Tien Nguyen
An ensemble method with sentiment features and clustering support. 155-165 - Xin Jin, Qiming Xiong, Chengyi Xiong, Zhibang Li, Zhirong Gao:
Single image super-resolution with multi-level feature fusion recursive network. 166-173 - Tao Gong, Bin Liu
Using multi-label classification to improve object detection. 174-185
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