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ORCID24th ICONIP 2017: Guangzhou, China
- Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy:
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10635, Springer 2017, ISBN 978-3-319-70095-3
Deep Learning
- Kebin Peng, Dianfu Ma:
Tree-Structure CNN for Automated Theorem Proving. 3-12 - Qazi Sami Ullah Khan
, Jianwu Li, Shuyang Zhao:
Training Deep Autoencoder via VLC-Genetic Algorithm. 13-22 - Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections. 23-33 - Weijie An, Qin Chen, Yan Yang, Liang He:
Knowledge Memory Based LSTM Model for Answer Selection. 34-42 - Dehua Chen, Guangjun Qian, Cheng Shi, Qiao Pan:
Breast Cancer Malignancy Prediction Using Incremental Combination of Multiple Recurrent Neural Networks. 43-52 - Shanru Li, Liping Wang, Shuang Yang, Yuanquan Wang, Chongwen Wang:
TinyPoseNet: A Fast and Compact Deep Network for Robust Head Pose Estimation. 53-63 - Qianli Ma, Lifeng Shen, Ruishi Su, Jieyu Chen:
Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition. 64-72 - Yiqi Chen, Tieyun Qian:
SLICE: Structural and Label Information Combined Embedding for Networks. 73-81 - Wei Ke, Yonghua Wang, Pin Wan, Weiwei Liu, Hailiang Li:
An Ultrasonic Image Recognition Method for Papillary Thyroid Carcinoma Based on Depth Convolution Neural Network. 82-91 - Zhanhao Hu, Tao Wang, Xiaolin Hu:
An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks. 92-100 - Liang Chen, Yuxuan Zhuang, Jinghua Zhang, Jianming Wang:
An End-to-End Approach for Bearing Fault Diagnosis Based on a Deep Convolution Neural Network. 101-109 - Dorra Mellouli, Tarek M. Hamdani, Mounir Ben Ayed, Adel M. Alimi:
Morph-CNN: A Morphological Convolutional Neural Network for Image Classification. 110-117 - Jeff Orchard, Louis Castricato:
Combating Adversarial Inputs Using a Predictive-Estimator Network. 118-125 - Yoshihiro Ohama, Takayoshi Yoshimura:
A Parallel Forward-Backward Propagation Learning Scheme for Auto-Encoders. 126-136 - Jizhao Zhu, Jianzhong Qiao, Xinxiao Dai, Xueqi Cheng:
Relation Classification via Target-Concentrated Attention CNNs. 137-146 - Nicolas Granger, Mounîm A. El-Yacoubi:
Comparing Hybrid NN-HMM and RNN for Temporal Modeling in Gesture Recognition. 147-156 - Rustem Takhanov, Zhenisbek Assylbekov:
Patterns Versus Characters in Subword-Aware Neural Language Modeling. 157-166 - Xiaolei Niu, Yuexian Hou:
Hierarchical Attention BLSTM for Modeling Sentences and Documents. 167-177 - Xiaolei Niu, Yuexian Hou, Panpan Wang:
Bi-Directional LSTM with Quantum Attention Mechanism for Sentence Modeling. 178-188 - Boyu Zhang, A. Kai Qin, Jeffrey Chan:
An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. 189-197 - Shuanglong Liu, Chao Zhang, Jinwen Ma:
CNN-LSTM Neural Network Model for Quantitative Strategy Analysis in Stock Markets. 198-206 - Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv:
Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets. 207-216 - Jin Yamanaka, Shigesumi Kuwashima, Takio Kurita:
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network. 217-225 - Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Minho Lee:
Generative Moment Matching Autoencoder with Perceptual Loss. 226-234 - Jie Ding, JunMin Wu, Huan Wu:
Three-Means Ternary Quantization. 235-245 - Sirui Cai, Yuchun Fang, Zhengyan Ma:
Will Outlier Tasks Deteriorate Multitask Deep Learning? 246-255 - Wei Zhang, Yuchun Fang, Zhengyan Ma:
The Effect of Task Similarity on Deep Transfer Learning. 256-265 - Tongtong Shen, Longbiao Wang, Xie Chen, Kuntharrgyal Khysru, Jianwu Dang:
Exploiting the Tibetan Radicals in Recurrent Neural Network for Low-Resource Language Models. 266-275 - Zepeng Gu, Bo Lang, Tongyu Yue, Lei Huang:
Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks. 276-285 - Akansha Bhardwaj, Dominik Mercier, Andreas Dengel, Sheraz Ahmed:
DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction. 286-293 - Jingling Li, Weitai Hu, Ye Yuan, Hong Huo, Tao Fang:
Bio-Inspired Deep Spiking Neural Network for Image Classification. 294-304 - Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura, Satoshi Matsuoka:
Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition. 305-314 - Masaya Kibune, Michael G. Lee:
Efficient Learning Algorithm Using Compact Data Representation in Neural Networks. 315-324 - Liechuan Ou, Zheng Chen, Jianwei Lu, Ye Luo:
Regularizing CNN via Feature Augmentation. 325-332 - Rafael Possas, Ying Zhou:
Effectiveness of Adversarial Attacks on Class-Imbalanced Convolutional Neural Networks. 333-342 - Takumi Kobayashi:
Sharing ConvNet Across Heterogeneous Tasks. 343-353 - Abdul Jabbar, Luke Farrawell, Jake Fountain, Stephan K. Chalup:
Training Deep Neural Networks for Detecting Drinking Glasses Using Synthetic Images. 354-363 - Qiao Zhang, Zhipeng Cui, Xiaoguang Niu, Shijie Geng, Yu Qiao:
Image Segmentation with Pyramid Dilated Convolution Based on ResNet and U-Net. 364-372 - Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Clustering with Convolutional Autoencoders. 373-382 - Yu Liang, Yi Yang, Furao Shen, Jinxi Zhao, Tao Zhu:
An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction. 383-392 - Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong:
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. 393-404 - Junfeng Yao, Yao Yu, Yukai Deng, Changyin Sun:
A Feature Learning Approach for Image Retrieval. 405-412 - Xuezhi Liang, Xiaobo Wang, Zhen Lei, Shengcai Liao, Stan Z. Li:
Soft-Margin Softmax for Deep Classification. 413-421 - Jegyung Son, Gil-Jin Jang, Minho Lee:
Temporal Attention Neural Network for Video Understanding. 422-430 - Khaoula Jayech:
Regularized Deep Convolutional Neural Networks for Feature Extraction and Classification. 431-439 - Tingxi Liu, Yao Lu, Xiaoyu Lei, Lijing Zhang, Haoyu Wang, Wei Huang, Zijian Wang:
Soccer Video Event Detection Using 3D Convolutional Networks and Shot Boundary Detection via Deep Feature Distance. 440-449 - Rolla Almodfer, Shengwu Xiong, Mohammed Mudhsh, Pengfei Duan:
Very Deep Neural Networks for Hindi/Arabic Offline Handwritten Digit Recognition. 450-459 - Weiming Zhi, Zhenghao Chen, Henry Wing Fung Yeung, Zhicheng Lu, Seid Miad Zandavi, Yuk Ying Chung:
Layer Removal for Transfer Learning with Deep Convolutional Neural Networks. 460-469 - Fady Medhat, David Chesmore, John Robinson:
Music Genre Classification Using Masked Conditional Neural Networks. 470-481 - Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel, Hong Xie:
Reinforced Memory Network for Question Answering. 482-490 - Sadam Al-Azani, El-Sayed M. El-Alfy:
Hybrid Deep Learning for Sentiment Polarity Determination of Arabic Microblogs. 491-500 - Sixing Wu, Ying Li, Zhonghai Wu:
Low Frequency Words Compression in Neural Conversation System. 501-511 - Cuiqin Hou, Yingju Xia, Jun Sun, Jing Shang, Ryozo Takasu, Masao Kondo:
A Width-Variable Window Attention Model for Environmental Sensors. 512-520 - Yi Ji, Yukio Ohsawa:
Memorizing Transactional Databases Compressively in Deep Neural Networks for Efficient Itemset Support Queries. 521-531 - Suin Seo, Sung-Bae Cho:
Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences. 532-539 - Yujun Zhou, Changliang Li, Bo Xu, Jiaming Xu, Jie Cao, Bo Xu:
Hierarchical Hybrid Attention Networks for Chinese Conversation Topic Classification. 540-550 - Kaiyu Huang, Si Li, Guang Chen:
Aggregating Class Interactions for Hierarchical Attention Relation Extraction. 551-561 - Mingyuan Bai, Boyan Zhang, Junbin Gao:
Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis. 562-571 - Sneha Singhania, Nigel Fernandez, Shrisha Rao:
3HAN: A Deep Neural Network for Fake News Detection. 572-581 - Fengyu Li, Mingmin Chi, Dong Wu, Junyu Niu:
Hierarchical Parameter Sharing in Recursive Neural Networks with Long Short-Term Memory. 582-592 - Jirui Yuan, Wenya Ma, Pengfei Zhu, Karen O. Egiazarian:
Robust Deep Face Recognition with Label Noise. 593-602 - Xuedong Hou, Yun Li, Tao Li:
Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal. 603-611 - Wei Gao, Mark D. McDonnell:
Analysis of Gradient Degradation and Feature Map Quality in Deep All-Convolutional Neural Networks Compared to Deep Residual Networks. 612-621 - Ningbo Huang, Yong Yang, Junjie Liu, Xinchao Gu, Hua Cai:
Single-Image Super-Resolution for Remote Sensing Data Using Deep Residual-Learning Neural Network. 622-630 - Linghua Zeng, Xinmei Tian:
Layer-Wise Training to Create Efficient Convolutional Neural Networks. 631-641 - Zhanbo Yang, Fei Hu, Jingyuan Wang, Jinjing Zhang, Li Li:
Learning Image Representation Based on Convolutional Neural Networks. 642-652 - Lap Pong Cheung, Haiqin Yang:
Heterogeneous Features Integration in Deep Knowledge Tracing. 653-662 - Weijiang Feng, Xiang Zhang, Xuhui Huang, Zhigang Luo:
Boxless Action Recognition in Still Images via Recurrent Visual Attention. 663-673 - Geon-min Kim, Hwaran Lee, Bo-Kyeong Kim, Soo-Young Lee:
Compositional Sentence Representation from Character Within Large Context Text. 674-685 - Xiaokang Tu, Yuchun Fang:
Ultra-deep Neural Network for Face Anti-spoofing. 686-695 - Qiang Fu, Yuan Shen, Zhenhua Guo:
License Plate Detection Using Deep Cascaded Convolutional Neural Networks in Complex Scenes. 696-706
Brain-Computer Interface
- Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang:
Task-Free Brainprint Recognition Based on Degree of Brain Networks. 709-717 - Rahma Fourati, Boudour Ammar, Chaouki Aouiti, Javier J. Sánchez Medina, Adel M. Alimi:
Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition. 718-727 - Xu Huang, Raul Fernandez Rojas, Allan C. Madoc, Keng-Liang Ou, Sheikh Md. Rabiul Islam:
A Computational Investigation of an Active Region in Brain Network Based on Stimulations with Near-Infrared Spectroscopy. 728-738 - Feifei Qi, Yuanqing Li, Zhenfu Wen, Wei Wu:
An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction. 739-747 - Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang:
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. 748-758 - Jianhai Zhang, Wenhao Huang, Shaokai Zhao, Yanyang Li, Sanqing Hu:
Recognition of Voluntary Blink and Bite Base on Single Forehead EMG. 759-766 - Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu:
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography. 767-776 - Hongyan Sun, Jing Jin, Yu Zhang, Bei Wang, Xingyu Wang:
An Improved Visual-Tactile P300 Brain Computer Interface. 777-785 - Peng-fei Ye, Lanlan Chen, Ao Zhang:
A New Hybrid Feature Selection Algorithm Applied to Driver's Status Detection. 786-795 - Ling Cen, Zhu Liang Yu, Yun Tang, Wen Shi, Tilmann Kluge, Wee Ser:
Deep Learning Method for Sleep Stage Classification. 796-802 - Minmin Miao, Hong Zeng, Aimin Wang:
Composite and Multiple Kernel Learning for Brain Computer Interface. 803-810 - He He, Dongrui Wu:
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach. 811-821 - Yuqi Cui, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks. 822-832 - Yang Wang, Dongrui Wu:
Real-Time fMRI-Based Brain Computer Interface: A Review. 833-842
Computational Finance
- Yuzhu Wu, Shumin Pan, Qianwen Zhang, Jinkui Xie:
Dynamic Bidding Strategy Based on Probabilistic Feedback in Display Advertising. 845-853 - Aleum Kim, Sung-Bae Cho:
Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending. 854-862 - Tristan Millington, Mahesan Niranjan:
Robust Portfolio Risk Minimization Using the Graphical Lasso. 863-872 - Steven Squires, Luis Montesdeoca, Adam Prügel-Bennett, Mahesan Niranjan:
Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data. 873-881 - Haonan Sun, Wenge Rong, Jiayi Zhang, Qiubin Liang, Zhang Xiong:
Stacked Denoising Autoencoder Based Stock Market Trend Prediction via K-Nearest Neighbour Data Selection. 882-892 - Yunong Zhang, Zhongxian Xue, Mengling Xiao, Yingbiao Ling, Chengxu Ye:
Ten-Quarter Projection for Spanish Central Government Debt via WASD Neuronet. 893-902 - Jiayi Zhang, Wenge Rong, Qiubin Liang, Haonan Sun, Zhang Xiong:
Data Augmentation Based Stock Trend Prediction Using Self-organising Map. 903-912 - Andrew D. Mann, Denise Gorse:
Deep Candlestick Mining. 913-921
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