dblp: ICONIP 2019 (original) (raw)

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26th ICONIP 2019: Sydney, NSW, Australia - Part III

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  • Semantic and Graph Based Approaches
  • Spiking Neuron and Related Models
  • Text Computing Using Neural Techniques
  • Time-Series and Related Models
  • Unsupervised Neural Models

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    Tom Gedeon, Kok Wai Wong, Minho Lee:
    Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11955, Springer 2019, ISBN 978-3-030-36717-6

Semantic and Graph Based Approaches

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    Hong Chen, Hisashi Koga:
    GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features. 3-14
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    Kuan Xu, Yu Qiao, Yueyang Gu, Xiaoguang Niu, Suwei Ma, Xiaobin Xiao, Xingqi Fang:
    Joint Semantic Hashing Using Deep Supervised and Unsupervised Methods. 15-23
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    Weiwei Weng, Jiagao Wu, Lu Yang, Linfeng Liu, Bin Hu:
    Label-Based Deep Semantic Hashing for Cross-Modal Retrieval. 24-36
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    Yijun Su, Xiang Li, Daren Zha, Wei Tang, Yiwen Jiang, Ji Xiang, Neng Gao:
    HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation. 37-49
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    Hongbo Xiao, Zhenchang Xing, Xiaohong Li, Hao Guo:
    Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach. 50-63
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    Sandeep Narayan Parameswaran, Sukhendu Das:
    SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attention. 64-76
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    Jirí Síma, Martin Plátek:
    One Analog Neuron Cannot Recognize Deterministic Context-Free Languages. 77-89
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    Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
    Tag-Based Semantic Features for Scene Image Classification. 90-102
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    Qiuxiang He, Guoping Huang, Li Li:
    Integrating TM Knowledge into NMT with Double Chain Graph. 103-114
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    Fengyi Zhang, Fangzhou Xiong, Xu Yang, Zhiyong Liu:
    Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure. 115-126
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    Fatma Ghorbel, Wafa Wali, Fayçal Hamdi, Elisabeth Métais, Bilel Gargouri:
    Visualizing Readable Instance Graphs of Ontology with Memo Graph. 127-139

Spiking Neuron and Related Models

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    Wenbin Yao, Shan Wang, Huiyuan Fu:
    Hippocampus Segmentation in MRI Using Side U-Net Model. 143-150
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    Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang:
    AutoML for DenseNet Compression. 151-161
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    Hui Yan, Xinle Liu, Hong Huo, Tao Fang:
    Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit. 162-172
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    Fu Xing, Ye Yuan, Hong Huo, Tao Fang:
    Homeostasis-Based CNN-to-SNN Conversion of Inception and Residual Architectures. 173-184
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    Megumi Ito, Malte J. Rasch, Masatoshi Ishii, Atsuya Okazaki, SangBum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, Wilfried Haensch:
    Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation. 185-194
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    Dhvani Shah, Grace Y. Wang, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov:
    Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression. 195-206

Text Computing Using Neural Techniques

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    Shenglei Huang, Shaohan Hu, Bencheng Yan:
    Watch and Ask: Video Question Generation. 209-221
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    Fengcheng Yuan, Yanfu Xu, Zheng Lin, Weiping Wang, Gang Shi:
    Multi-perspective Denoising Reader for Multi-paragraph Reading Comprehension. 222-234
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    Barbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemyslaw Biecek:
    Models in the Wild: On Corruption Robustness of Neural NLP Systems. 235-247
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    Xuewen Zhang, Kui Meng, Gongshen Liu:
    Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization. 248-258
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    Wei Chen, Wenxin Yu, Zhiqiang Zhang, Yunye Zhang, Kepeng Xu, Fengwei Zhang, Yibo Fan, Gang He, Zhuo Yang:
    Target-Based Attention Model for Aspect-Level Sentiment Analysis. 259-269
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    Hai Huang, Tianshuo Huang, Longxuan Ma, Lei Zhang:
    Keyphrase Generation with Word Attention. 270-281
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    Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
    Dynamic Neural Language Models. 282-294
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    Nan Li, Meng Ge, Longbiao Wang, Jianwu Dang:
    A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition. 295-305
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    Hang Miao, Ruifang Liu, Sheng Gao:
    Option Attentive Capsule Network for Multi-choice Reading Comprehension. 306-318
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    Yuki Kawaguchi, Seiichi Ozawa:
    Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning. 319-327
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    Yuqi Zhang, Kui Meng, Gongshen Liu:
    Paragraph-Level Hierarchical Neural Machine Translation. 328-339
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    Yixuan Sheng, Man Lan:
    Residual Connection-Based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension. 340-352
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    Gang Yang, Jieping Xu:
    Zero-Shot Transfer Learning Based on Visual and Textual Resemblance. 353-362
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    Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao, Min Lu:
    Morphological Knowledge Guided Mongolian Constituent Parsing. 363-375
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    Jiahuan Lei, Qing Zhang, Jinshan Wang, Hengliang Luo:
    BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis. 376-386
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    Dali Chen, Wenge Rong, Zhiyuan Ma, Yuanxin Ouyang, Zhang Xiong:
    Topic Aware Context Modelling for Dialogue Response Generation. 387-397
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    Kumar Shikhar Deep, Asif Ekbal, Pushpak Bhattacharyya:
    A Deep Neural Framework for Contextual Affect Detection. 398-409
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    Manal Mohania, Liyuan Zhou, Tom Gedeon:
    Improving Student Forum Responsiveness: Detecting Duplicate Questions in Educational Forums. 410-421

Time-Series and Related Models

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    Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Junxiong Guo, Jing Xiao:
    On Probability Calibration of Recurrent Text Recognition Network. 425-436
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    Danuta Rutkowska, Leszek Rutkowski:
    On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining. 437-448
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    Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood:
    Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation. 449-461
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    Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman:
    Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. 462-474
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    Luxuan Li, Tao Kong, Fuchun Sun, Huaping Liu:
    Deep Point-Wise Prediction for Action Temporal Proposal. 475-487
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    Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa:
    Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine. 488-498
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    Zhansheng Xiong, Zhenhua Wang, Zheng Wang, Jianhua Zhang:
    Deep Spatial-Temporal Field for Human Head Orientation Estimation. 499-509
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    Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
    Prediction-Coherent LSTM-Based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People. 510-521
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    Zhaoyi Liu, Qiuyuan Chen, Han Hu, Haoyu Tang, Y. X. Zou:
    Teacher-Student Learning and Post-processing for Robust BiLSTM Mask-Based Acoustic Beamforming. 522-533
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    Rania Maalej, Monji Kherallah:
    Maxout into MDLSTM for Offline Arabic Handwriting Recognition. 534-545

Unsupervised Neural Models

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    Yang Fan, Jianhua Dai, Siqi Xu:
    Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization. 549-560
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    Kaoutar Benlamine, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei, Nistor Grozavu:
    Distance Estimation for Quantum Prototypes Based Clustering. 561-572
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    Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
    Accelerating Bag-of-Words with SOM. 573-584
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    Guo Chen, Song Wu, Guoqiang Xiao:
    A Deep Clustering-Guide Learning for Unsupervised Person Re-identification. 585-596
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    Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang:
    Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. 597-607
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    Youngjoo Seo, Manuel Morante, Yannis Kopsinis, Sergios Theodoridis:
    Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net. 608-620
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    Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
    Clustering Ensemble Selection with Determinantal Point Processes. 621-633
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    Parisa Rastin, Guénaël Cabanes, Rosanna Verde, Younès Bennani, Thierry Couronne:
    Generative Histogram-Based Model Using Unsupervised Learning. 634-646

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