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ORCID26th ICONIP 2019: Sydney, NSW, Australia - Part I
- Tom Gedeon
, Kok Wai Wong, Minho Lee:
Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11953, Springer 2019, ISBN 978-3-030-36707-7
Adversarial Networks and Learning
- Bayram Bayramli, Usman Ali, Te Qi, Hongtao Lu:
FH-GAN: Face Hallucination and Recognition Using Generative Adversarial Network. 3-15 - Qingrong Cheng, Youcai Zhang, Xiaodong Gu:
Adversarial Learning for Cross-Modal Retrieval with Wasserstein Distance. 16-29 - Bo-Qun Ma, He Li, Wei-Long Zheng, Bao-Liang Lu:
Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization. 30-42 - Zhichen Lai, Chenwei Tang, Jiancheng Lv:
Multi-view Image Generation by Cycle CVAE-GAN Networks. 43-54 - Hideo Terada, Hayaru Shouno:
B-DCGAN: Evaluation of Binarized DCGAN for FPGA. 55-64 - Huali Xu, Xiangdong Su, Tongyang Liu, Pengcheng Guo, Guanglai Gao, Feilong Bao:
A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning. 65-73 - Xiaofei Li, Jianming Liu, Mingwen Wang:
Weakly Supervised Fine-Grained Visual Recognition via Adversarial Complementary Attentions and Hierarchical Bilinear Pooling. 74-85 - Xiangdong Su, Xiang Hao, Zhiyu Wang, Yun Liu, Huali Xu, Tongyang Liu, Guanglai Gao, Feilong Bao:
Learning an Adversarial Network for Speech Enhancement Under Extremely Low Signal-to-Noise Ratio Condition. 86-97 - Ting Fang, Tingting Qiao, Duanqing Xu:
HaGAN: Hierarchical Attentive Adversarial Learning for Task-Oriented Dialogue System. 98-109 - David Iclanzan, László Szilágyi:
Learning to Generate Ambiguous Sequences. 110-121
Convolutional Neural Networks
- Jing Zhao, Iman Tabatabaei Ardekani, Shaoning Pang:
Deep Learning for Combo Object Detection. 125-137 - Yinan Ma, Jing Wu, Chengnian Long:
DasNet: Dynamic Adaptive Structure for Accelerating Multi-task Convolutional Neural Network. 138-150 - Liguang Yan, Baojiang Zhong, Kai-Kuang Ma:
Confusion-Aware Convolutional Neural Network for Image Classification. 151-161 - Rim Haidar, Irena Koprinska, Bryn Jeffries:
Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection. 162-174 - Jinting Chen, Zhaocheng Zhu, Cheng Li, Yuming Zhao:
Self-Adaptive Network Pruning. 175-186 - Chunfeng Liu, Yan Zhang, Mei Yu, Ruiguo Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Hongwei Liu, Jian Yu:
Text-Augmented Knowledge Representation Learning Based on Convolutional Network. 187-198 - Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew:
A Novel Online Ensemble Convolutional Neural Networks for Streaming Data. 199-210 - Zhixin Li, Feng Ling, Fengqi Zhang, Canlong Zhang:
Cross-media Image-Text Retrieval Based on Two-Level Network. 211-222 - Jiacheng Li, Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu:
Fusion Convolutional Attention Network for Opinion Spam Detection. 223-235 - Dan Popescu, Loretta Ichim, George Cioroiu:
Deep CNN Based System for Detection and Evaluation of RoIs in Flooded Areas. 236-248
Deep Neural Networks
- Xufang Luo, Mingyang Yi, Yunhong Wang:
Improving Deep Learning by Regularized Scale-Free MSE of Representations. 251-263 - Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao:
Training Behavior of Deep Neural Network in Frequency Domain. 264-274 - Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. 275-286 - Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan:
A Multi-cascaded Deep Model for Bilingual SMS Classification. 287-298 - Soyeon Caren Han, Yingru Lin, Siqu Long, Josiah Poon:
Low Resource Named Entity Recognition Using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer. 299-311 - Jo Plested, Tom Gedeon:
An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks. 312-323
Feature Learning and Representation
- Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. 327-339 - Rakesh Kumar Sanodiya, Chinmay Sharma, Jimson Mathew:
Unified Framework for Visual Domain Adaptation Using Globality-Locality Preserving Projections. 340-351 - Zhipeng Li, Zheng Qin, Pengbo Shen, Liu Jiang:
Zero-Shot Learning for Intrusion Detection via Attribute Representation. 352-364 - Shaoxiong Zhou, Shengrong Gong, Shan Zhong, Wei Pan, Wenhao Ying:
Region Selection Model with Saliency Constraint for Fine-Grained Recognition. 365-376 - Houda Jmila, Mohamed Ibn Khedher, Gregory Blanc, Mounim A. El-Yacoubi:
Siamese Network Based Feature Learning for Improved Intrusion Detection. 377-389 - Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia:
Self-attentive Pyramid Network for Single Image De-raining. 390-401
Human Centred Computing
- Mujtaba Asad, Zuopeng Yang, Zubair Khan, Jie Yang, Xiangjian He:
Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos. 405-417 - Xingyuan Gao, Shiying Sun, Xiaoguang Zhao, Min Tan:
Learning to Navigate in Human Environments via Deep Reinforcement Learning. 418-429 - Zexian Wang, Fei Jiang, Ruimin Shen:
An Effective Yawn Behavior Detection Method in Classroom. 430-441 - Hyunseob Kim, Tae Joon Jun, Giang Nguyen, Daeyoung Kim:
Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data. 442-453 - Thiptanawat Phongwattana, Jonathan H. Chan:
Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition. 454-463 - Gang Yang, Lei Zhang, Jieping Xu:
A Generative Face Completion Method Based on Associative Memory. 464-475 - Lubin Meng, Chin-Teng Lin, Tzyy-Ping Jung, Dongrui Wu:
White-Box Target Attack for EEG-Based BCI Regression Problems. 476-488
Human Centred Computing and Medicine
- Yan-Jie Zhou, Xiao-Liang Xie, Gui-Bin Bian, Zeng-Guang Hou, Bao Liu, Zhi-Chao Lai, Xinkai Qu, Shi-Qi Liu, Xiao-Hu Zhou:
Real-Time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair. 491-500 - Naoyuki Sato, Yuichi Katori:
Infra-Slow Electroencephalogram Power Associates with Reaction Time in Simple Discrimination Tasks. 501-511 - Ye Jin Lee, Dae-Hyeon Kim, Rhee Man Kil, Hee Yong Youn:
Classifying Speech Data in Parkinson's Disease Based on Class Probability Output Networks. 512-523 - Yiming Cheng, Guihe Qin, Rui Zhao, Yanhua Liang, Minghui Sun:
ConvCaps: Multi-input Capsule Network for Brain Tumor Classification. 524-534 - Dunsheng Liu, Yuanning Liu, Liyan Dong:
G-ResNet: Improved ResNet for Brain Tumor Classification. 535-545 - Jungrae Cho, Inchul Choi, Jaeil Kim, Sungmoon Jeong, Young-Sup Lee, Jaechan Park, Jungjoon Kim, Minho Lee:
Affinity Graph Based End-to-End Deep Convolutional Networks for CT Hemorrhage Segmentation. 546-555 - Nga Tran, Dat Tran, Shuangzhe Liu, Tien Pham:
On the Stability of a Pass-Thought Security System in Different Brain States. 556-567 - Myungwon Choi, Pilsub Lee, Daegyeom Kim, Suji Lee, HyunChul Youn, Hyun-Ghang Jeong, Cheol E. Han:
Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE). 568-579
Hybrid Models
- Thanh Tung Khuat, Bogdan Gabrys:
Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data. 583-595 - Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. 596-607 - Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Lan Phuong Dao, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, John McCall:
Evolving an Optimal Decision Template for Combining Classifiers. 608-620 - Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator. 621-632 - Rukshima Dabare, Kok Wai Wong, Mohd Fairuz Shiratuddin, Polychronis Koutsakis:
Fuzzy Deep Neural Network for Classification of Overlapped Data. 633-643 - Maryam Hasani-Shoreh, Frank Neumann:
On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization. 644-657 - Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass:
A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. 658-669 - Yun-Hao Yuan, Hui Zhang, Yun Li, Jipeng Qiang, Jianping Gou, Guangwei Gao, Bin Li:
Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning. 670-678 - Bradley Alexander, David Hin, Aneta Neumann, Safwan Ull-Karim:
Evolving Pictures in Image Transition Space. 679-690 - Dipanjyoti Paul, Abhishek Kumar, Sriparna Saha, Jimson Mathew:
Improved Multi-objective Evolutionary Subspace Clustering. 691-703 - Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read:
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. 704-716 - Abdelkader Berrouachedi, Rakia Jaziri, Gilles Bernard:
Deep Extremely Randomized Trees. 717-729
Artificial Intelligence and Cybersecurity
- Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang:
An Advanced Version of MDNet for Visual Tracking. 733-745 - Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang:
Enhanced LSTM with Batch Normalization. 746-755 - Muhamad Erza Aminanto, Lei Zhu, Tao Ban, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue:
Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest. 756-765 - Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi, Koji Nakao:
A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. 766-778
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