Australian Journal of Intelligent Information Processing Systems, Volume 15 (original) (raw)



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Volume 15, Number 2, 2019
Adversarial Networks and Learning

Xia Liang, Junmin Wu, Yan Yin:
MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation. 1-9
Masashi Okada, Hidehiro Nakano, Arata Miyauchi:
CycleGAN using Semi-Supervised Learning. 10-19
Yan Liu, Wei Yang, Xueyu Zhang, Yi Zhang, Liusheng Huang:
GAN Generate Adversarial Examples to Fool Deep Networks. 20-28
Mitchell Scott, Jo Plested:
GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling. 29-35
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. 36-43
Convolutional Neural Networks

Abir Fathallah, Mohamed Ibn Khedher, Mounim A. El-Yacoubi, Najoua Essoukri Ben Amara:
Triplet CNN-based Word Spotting of Historical Arabic Documents. 44-51
Neng Fu, Nuerbiye Kamili, Yanhong Huang, Jianqi Shi:
A Novel Deep Intrusion Detection Model Based On a Convolutional Neural Network. 52-59
Jakub Nowak, Marcin Korytkowski, Marcin Wozniak, Rafal Scherer:
URL-based Phishing Attack Detection by Convolutional Neural Networks. 60-67
Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami:
Prediction of regions including dislocations in multicrystalline silicon photoluminescence image by transfer learning of convolutional neural network. 68-74
Linhong Weng, Qing Li, Ding Xuehai:
GRU based Convolutional Neural Network with Initialized Filters for Text Classification. 75-85
Deep Neural Networks

Jiawei Li, Yiming Li, Jiacheng Yang, Taian Guo, Shu-Tao Xia:
UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble. 86-93
Chenyang Zhang, Jiamei Wang, Xinyun Li, Fei Fu, Weiquan Wang:
Method for the Machine-Generation of Ancient Chinese Poetry Based on a Deep Neural Network Combined with Images. 94-105
Volume 15, Number 3, 2019
Human Centred Computing

Fatima Ezzahraa Ben Bouazza, Younès Bennani, Mourad El Hamri, Guénaël Cabanes, Basarab Matei, Abdelfettah Touzani:
Multi-view Clustering through Optimal Transport. 1-9
Shu Liu, Jo Plested:
Structure simplification of neural network for smile classification. 10-18
Min Wang, Jiankun Hu, Hussein A. Abbass:
Stable EEG Biometrics Using Convolutional Neural Networks and Functional Connectivity. 19-26
Jiahui Shen, Yuanye He, Ji Xiang:
Zero-shot learning of user intent understanding by Convolutional Neural Networks. 27-33
Zirui Tan, Jo Plested:
Classification of Human?s Perception of Manipulated and Unmanipulated Digital Images Using Neural Network with Network Reduction Techniques. 34-40
Ke Li, Yuan Zong, Baolin Song, Jie Zhu, Jingang Shi, Wenming Zheng, Li Zhao:
Three-Stream Convolutional Neural Network for Micro-Expression Recognition. 41-48

Seid Miad Zandavi, Zexi Hu, Yuk Ying Chung, Ali Anaissi:
Augmented Reality Vision Improving Educational Learning. Aust. J. Intell. Inf. Process. Syst. 15(3): 49-58 (2019)
Human Centred Computing for Emotion

Huangfei Jiang, Xiya Guan, Wei-Ye Zhao, Li-Ming Zhao, Bao-Liang Lu:
Generating Multimodal Features for Emotion Classification from Eye Movement Signals. 59-66
Chaikesh Chouragade, V. Susheela Devi:
Deep Transfer Learning for Emotion Recognition from Text. 67-75
Yun-Hao Yuan, Chao Zhang, Yun Li, Jipeng Qiang, Bin Li, Guangwei Gao, Xiaoning Song, Huimin Lu:
Fractional Sparse Representation Based Classification and Multi-view Extension for Face Recognition. 76-81
Yun-Hao Yuan, Jie Yang, Yun Li, Jipeng Qiang, Bin Li, Xiaobo Shen, Jianping Gou, Guangwei Gao:
Face Hallucination Using Locality Preserving Canonical Correlation Analysis. 82-90
Volume 15, Number 4, 2019
Human Centred Computing and Medicine

Chen Xuheng, Mingyong Zhuang, Congbo Cai, Yue Huang, Xinghao Ding:
Accurate Infant Brain MRI Segmentation via 3D Dense-Fuse Convolution Neural Networks. 1-7
Zeyuan Wang, Josiah Poon, Simon K. Poon:
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data. 8-15
Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Britt Klein:
Towards Machine Learning approach for Digital-Health intervention program. 16-24
Chen Wang, Liang Peng, Jingyue Li, Zeng-Guang Hou, Weiqun Wang:
Quantitative Analysis of Motor Synergies and Assessment of Upper-limb Motor Function for Post-stroke Rehabilitation Based on Multi-modal Data Fusion. 25-33
Dang Nguyen, Dat Tran, Wanli Ma:
A Study on Combining EEG Signals and Crytography for Bitcoin Security. 34-42
Weiguo Shi, Weiqun Wang, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, Shixin Ren, Liang Peng:
SEMG and KNN Based Human Motion Intention Recognition for Active and Safe Neurorehabilitation. 43-52
Arshia Rehman, Saeeda Naz, Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. 53-60
Social Network Computing

Baoping Liu, Yijun Su, Daren Zha, Neng Gao, Ji Xiang:
CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking. 61-68
Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter. 69-76

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