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ORCID26th ICONIP 2019: Sydney, NSW, Australia - Part III
- 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
- Hong Chen, Hisashi Koga:
GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features. 3-14 - 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 - Weiwei Weng, Jiagao Wu, Lu Yang, Linfeng Liu, Bin Hu:
Label-Based Deep Semantic Hashing for Cross-Modal Retrieval. 24-36 - 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 - Hongbo Xiao, Zhenchang Xing, Xiaohong Li, Hao Guo:
Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach. 50-63 - Sandeep Narayan Parameswaran, Sukhendu Das:
SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attention. 64-76 - Jirí Síma, Martin Plátek:
One Analog Neuron Cannot Recognize Deterministic Context-Free Languages. 77-89 - Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
Tag-Based Semantic Features for Scene Image Classification. 90-102 - Qiuxiang He, Guoping Huang, Li Li:
Integrating TM Knowledge into NMT with Double Chain Graph. 103-114 - Fengyi Zhang, Fangzhou Xiong, Xu Yang, Zhiyong Liu:
Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure. 115-126 - 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
- Wenbin Yao, Shan Wang, Huiyuan Fu:
Hippocampus Segmentation in MRI Using Side U-Net Model. 143-150 - Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang:
AutoML for DenseNet Compression. 151-161 - 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 - Fu Xing, Ye Yuan, Hong Huo, Tao Fang:
Homeostasis-Based CNN-to-SNN Conversion of Inception and Residual Architectures. 173-184 - 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 - 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
- Shenglei Huang, Shaohan Hu, Bencheng Yan:
Watch and Ask: Video Question Generation. 209-221 - Fengcheng Yuan, Yanfu Xu, Zheng Lin, Weiping Wang, Gang Shi:
Multi-perspective Denoising Reader for Multi-paragraph Reading Comprehension. 222-234 - Barbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemyslaw Biecek:
Models in the Wild: On Corruption Robustness of Neural NLP Systems. 235-247 - Xuewen Zhang, Kui Meng, Gongshen Liu:
Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization. 248-258 - 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 - Hai Huang, Tianshuo Huang, Longxuan Ma, Lei Zhang:
Keyphrase Generation with Word Attention. 270-281 - Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Dynamic Neural Language Models. 282-294 - Nan Li, Meng Ge, Longbiao Wang, Jianwu Dang:
A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition. 295-305 - Hang Miao, Ruifang Liu, Sheng Gao:
Option Attentive Capsule Network for Multi-choice Reading Comprehension. 306-318 - Yuki Kawaguchi, Seiichi Ozawa:
Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning. 319-327 - Yuqi Zhang, Kui Meng, Gongshen Liu:
Paragraph-Level Hierarchical Neural Machine Translation. 328-339 - Yixuan Sheng, Man Lan:
Residual Connection-Based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension. 340-352 - Gang Yang, Jieping Xu:
Zero-Shot Transfer Learning Based on Visual and Textual Resemblance. 353-362 - Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao, Min Lu:
Morphological Knowledge Guided Mongolian Constituent Parsing. 363-375 - Jiahuan Lei, Qing Zhang, Jinshan Wang, Hengliang Luo:
BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis. 376-386 - Dali Chen, Wenge Rong, Zhiyuan Ma, Yuanxin Ouyang, Zhang Xiong:
Topic Aware Context Modelling for Dialogue Response Generation. 387-397 - Kumar Shikhar Deep, Asif Ekbal, Pushpak Bhattacharyya:
A Deep Neural Framework for Contextual Affect Detection. 398-409 - Manal Mohania, Liyuan Zhou, Tom Gedeon:
Improving Student Forum Responsiveness: Detecting Duplicate Questions in Educational Forums. 410-421
Time-Series and Related Models
- Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Junxiong Guo, Jing Xiao:
On Probability Calibration of Recurrent Text Recognition Network. 425-436 - Danuta Rutkowska, Leszek Rutkowski:
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining. 437-448 - Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood:
Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation. 449-461 - 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 - Luxuan Li, Tao Kong, Fuchun Sun, Huaping Liu:
Deep Point-Wise Prediction for Action Temporal Proposal. 475-487 - Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa:
Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine. 488-498 - Zhansheng Xiong, Zhenhua Wang, Zheng Wang, Jianhua Zhang:
Deep Spatial-Temporal Field for Human Head Orientation Estimation. 499-509 - 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 - 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 - Rania Maalej, Monji Kherallah:
Maxout into MDLSTM for Offline Arabic Handwriting Recognition. 534-545
Unsupervised Neural Models
- Yang Fan, Jianhua Dai, Siqi Xu:
Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization. 549-560 - Kaoutar Benlamine, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei, Nistor Grozavu:
Distance Estimation for Quantum Prototypes Based Clustering. 561-572 - Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Accelerating Bag-of-Words with SOM. 573-584 - Guo Chen, Song Wu, Guoqiang Xiao:
A Deep Clustering-Guide Learning for Unsupervised Person Re-identification. 585-596 - Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang:
Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. 597-607 - Youngjoo Seo, Manuel Morante, Yannis Kopsinis, Sergios Theodoridis:
Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net. 608-620 - Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
Clustering Ensemble Selection with Determinantal Point Processes. 621-633 - Parisa Rastin, Guénaël Cabanes, Rosanna Verde, Younès Bennani, Thierry Couronne:
Generative Histogram-Based Model Using Unsupervised Learning. 634-646
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