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ORCID26th ICONIP 2019: Sydney, NSW, Australia - Part IV
- Tom Gedeon
, Kok Wai Wong, Minho Lee:
Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part IV. Communications in Computer and Information Science 1142, Springer 2019, ISBN 978-3-030-36807-4
Adversarial Networks and Learning
- Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu:
Adversarial Deep Learning with Stackelberg Games. 3-12 - Yuchun Fang, Yilu Cao, Wei Zhang, Qiulong Yuan:
Enhance Feature Representation of Dual Networks for Attribute Prediction. 13-20 - Zhuocheng Zhou, Bofeng Zhang, Ying Lv, Tian Shi, Furong Chang:
Data Augment in Imbalanced Learning Based on Generative Adversarial Networks. 21-30 - Tongtong Wu, Xu Zhang, Fuqing Duan:
A Deep Learning Scheme for Extracting Pedestrian-Parcel Tuples from Videos. 31-39 - Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs. 40-48 - Waseem Abbas, Muhammad Haroon Shakeel, Numan Khurshid, Murtaza Taj:
Patch-Based Generative Adversarial Network Towards Retinal Vessel Segmentation. 49-56 - Tianying Xie, Yantao Li:
A Gradient-Based Algorithm to Deceive Deep Neural Networks. 57-65 - Huan Liu, Shujing Lyu, Hongjian Zhan, Yue Lu:
Writing Style Adversarial Network for Handwritten Chinese Character Recognition. 66-74 - Yang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong:
Recovering Super-Resolution Generative Adversarial Network for Underwater Images. 75-83
Convolutional Neural Networks
- Xinyu Zhu, Gongshen Liu, Bo Su:
Hierarchical Attention CNN and Entity-Aware for Relation Extraction. 87-94 - Muideen Adegoke, Chi-Sing Leung, John Sum:
Fault Tolerant Broad Learning System. 95-103 - Yikai Hua, Xiaodong Gu:
Group Loss: An Efficient Strategy for Salient Object Detection. 104-111 - Xinyang Liu, Zheng Liu, Yanwen Qu:
PPGCN: A Message Selection Based Approach for Graph Classification. 112-121 - Yi-Fan Zhang, Peter J. Thorburn, Peter Fitch:
Multi-task Temporal Convolutional Network for Predicting Water Quality Sensor Data. 122-130 - Tae-Young Kim, Sung-Bae Cho:
CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model. 131-139 - Yunhong Liu, Yizhu Huang:
MC-HDCNN: Computing the Stereo Matching Cost with a Hybrid Dilated Convolutional Neural Network. 140-147 - Maram Mahmoud A. Monshi, Josiah Poon, Vera Yuk Ying Chung:
Convolutional Neural Network to Detect Thorax Diseases from Multi-view Chest X-Rays. 148-158 - Jiahui Sun, Shilin Wang, Quanhai Zhang:
Visual Speaker Authentication by a CNN-Based Scheme with Discriminative Segment Analysis. 159-167 - Zhipeng Li, Zheng Qin, Pengbo Shen, Liu Jiang:
Intrusion Detection Using Temporal Convolutional Networks. 168-178 - Ikki Kishida, Hideki Nakayama:
Empirical Study of Easy and Hard Examples in CNN Training. 179-188 - Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai, Yi Jing:
GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis. 189-197 - Shizhan Chen, Bo You, Xuewei Li, Mei Yu, Jian Yu, Zhuo Zhang, Jie Gao, Zhiqiang Liu, Ruiguo Yu:
A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features. 198-206 - Takumi Kobayashi, Hidenori Ide, Kenji Watanabe:
Simple ConvNet Based on Bag of MLP-Based Local Descriptors. 207-215 - Zhijie Fang, Weiqun Wang, Zeng-Guang Hou:
Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition Based on Spatiotemporal EEG Data. 216-224
Deep Neural Networks
- Bo Yang, Qilin Mu, Hairui Zou, Yancheng Zeng, Hau-San Wong, Zesong Li, Peng Wang:
A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors. 227-236 - Jie Chen, Lifen Jiang, Huazhi Sun, Chunmei Ma, Zekang Liu, Dake Zhao:
LSPM: Joint Deep Modeling of Long-Term Preference and Short-Term Preference for Recommendation. 237-246 - François Torregrossa, Nihel Kooli, Robin Allesiardo, Erwan Pigneul:
How We Achieved a Production Ready Slot Filling Deep Neural Network Without Initial Natural Language Data. 247-255 - Tao Li, Jinwen Ma:
Swarm Intelligence Based Ensemble Learning of Deep Neural Networks. 256-264 - Mingdong Yang, Ying Shi:
DSMRSeg: Dual-Stage Feature Pyramid and Multi-Range Context Aggregation for Real-Time Semantic Segmentation. 265-273 - Mallek Mziou-Sallami, Mohamed Ibn Khedher, Asma Trabelsi, Samy Kerboua-Benlarbi, Dimitri Bettebghor:
Safety and Robustness of Deep Neural Networks Object Recognition Under Generic Attacks. 274-286 - Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. 287-295 - Mouna Hadj-Kacem, Nadia Bouassida:
Improving the Identification of Code Smells by Combining Structural and Semantic Information. 296-304 - Guoqiang Zhong, Wei Gao, Wencong Jiao, Biao Shen, Dongdong Xia:
Learnable Gabor Convolutional Networks. 305-313 - Siripinyo Chantamunee, Kok Wai Wong, Chun Che Fung:
Deep Autoencoder on Personalized Facet Selection. 314-322 - Kun Ni, Danning Yu, Yunlong Liu:
Attention-Based Deep Q-Network in Complex Systems. 323-332 - Peng Gang, Wei Zeng, Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases. 333-340 - Andrew M. Shackleton, Abdulrahman M. Altahhan:
A Comparison Study of Deep Learning Techniques to Increase the Spatial Resolution of Photo-Realistic Images. 341-348
Embeddings and Feature Fusion
- Cheng Zhang, Le Zhang, Yuanye He, Daren Zha:
A Robust Embedding for Attributed Networks with Outliers. 351-362 - Huimin Guo, Fujin He, Xin Cheng, Xinghao Ding, Yue Huang:
Pay Attention to Deep Feature Fusion in Crowd Density Estimation. 363-370 - Fumiaki Saitoh:
Knowledge Reuse of Learning Agent Based on Factor Information of Behavioral Rules. 371-379 - P. Meghashyam, V. Susheela Devi:
Community Based Node Embeddings for Networks. 380-387 - Han Hu, Qiuyuan Chen, Zhaoyi Liu:
Code Generation from Supervised Code Embeddings. 388-396 - Ahmed Fathy, Kan Li:
ComNE: Reinforcing Network Embedding with Community Learning. 397-405 - Yun-Hao Yuan, Li Zhu, Yun Li, Jipeng Qiang, Bin Li, Jianping Gou, Chaofeng Li:
D2PLS: A Novel Bilinear Method for Facial Feature Fusion. 406-413 - Bencheng Yan, Shenglei Huang:
Learning Network Representation via Ego-Network-Level Relationship. 414-422
Human Centred Computing
- Xinyi Wang, Min Gao, Zhenni Lu, Zongwei Wang, Junwei Zhang, Yi Zhang:
DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation. 425-432 - Dengju Li, Rui Yan, Xiaoliang Xu, Huajin Tang:
Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots. 433-440 - Li Zhang, Bo Shi, Mingna Cao, Sai Zhang, Yiming Dai, Yanmei Zhu:
Identifying EEG Responses Modulated by Working Memory Loads from Weighted Phase Lag Index Based Functional Connectivity Microstates. 441-449 - Donglin Bai, Jianbo Su:
Combining Fisheye Camera with Odometer for Autonomous Parking. 450-457 - Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers:
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. 458-465 - Xi Huang, Keyu Wu, Gang Hu, Jie Shao:
Multi-class Human Body Parsing with Edge-Enhancement Network. 466-477 - Huyen Tran, Dat Tran, Wanli Ma, Phuoc Nguyen:
vUBM: A Variational Universal Background Model for EEG-Based Person Authentication. 478-485 - Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Passenger Demographic Attributes Prediction for Human-Centered Public Transport. 486-494 - Akira Ikeda, Yoshikazu Washizawa:
Spontaneous EEG Classification Using Complex Valued Neural Network. 495-503 - Xiaoqiang Li, Yonghui Tang, Yue Sun:
Tongue Coating Classification Based on Multiple-Instance Learning and Deep Features. 504-511 - Sarah Ali Siddiqui, Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng:
Machine Learning Based Trust Model for Misbehaviour Detection in Internet-of-Vehicles. 512-520 - Abdelkader Magdy Shaaban, Christoph Schmittner, Gerald Quirchmayr, A. Baith Mohamed, Thomas Gruber, Erich Schikuta:
Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain. 521-529 - Raul Fernandez Rojas, Essam Soliman Debie, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. 530-539 - Xu Liang, Weiqun Wang, Zengguang Hou, Shixin Ren, Jiaxing Wang, Weiguo Shi, Tingting Su:
Adaptive Estimation of Human-Robot Interaction Force for Lower Limb Rehabilitation. 540-547 - Toshihiko Matsuka, Yoshiko Kawabbatas, Kuangzhe Xu:
Effect of Incomplete Memorization in a Computational Model of Human Cognition. 548-556
Human Centred Computing and Medicine
- Yichuan Jiang, Peng Wang, Hui Liu, Sheng Ge:
Decoding Action Observation Using Complex Brain Networks from Simultaneously Recorded EEG-fNIRS Signals. 559-569 - Thomas Martial Epalle, Yuqing Song, Hu Lu, Zhe Liu:
Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier. 570-579 - Yong Yuan, Chen Chen, Xiyuan Hu, Silong Peng:
TP-ADMM: An Efficient Two-Stage Framework for Training Binary Neural Networks. 580-588 - Shu-Chao Pang, AnAn Du, Xiaoli He, Jorge Díez, Mehmet A. Orgun:
Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework. 589-597 - Jie Tian, Kaijie Wu, Kai Ma, Hao Cheng, Chaocheng Gu:
Exploration of Different Attention Mechanisms on Medical Image Segmentation. 598-606 - Xiuyu Huang, Matloob Khushi, Mark Latt, Clement Loy, Simon K. Poon:
Machine Learning Based Method for Huntington's Disease Gait Pattern Recognition. 607-614 - Ziwei Li, Xuesong Zhao, Airu Yin, Chuyang Guo, Li Chen:
Research on Deep Learning-Based Intelligent Diagnosis Algorithms for OCT Medical Images of Macular Edema. 615-623 - Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys:
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients. 624-632 - Hosang Yu, Kyunghun Kang, Sungmoon Jeong, Jaechan Park:
Deep Vision System for Clinical Gait Analysis in and Out of Hospital. 633-642
Human Centred Computing for Emotion
- Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks. 645-653 - Katsuki Izumi, Osamu Araki, Tomokazu Urakawa:
Analysis of Key Face Parts to Detect Emotional Expression Using a Neural Network Model. 654-661 - Suyash Sangwan, Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Gated Contextual Cross-Modal Attention Framework for Sentiment and Emotion Analysis. 662-669 - Lu Gan, Wei Liu, Yun Luo, Xun Wu, Bao-Liang Lu:
A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning. 670-680 - Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang:
Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-attention. 681-689 - Suyuan Liu, Wenming Zheng, Tengfei Song, Yuan Zong:
Sparse Graphic Attention LSTM for EEG Emotion Recognition. 690-697 - Sidong Feng:
Dynamic Facial Stress Recognition in Temporal Convolutional Network. 698-706 - Jack Michael Harding Sekoranja:
A Comparison of CasPer Against Other ML Techniques for Stress Recognition. 707-714
Hybrid Models
- Tomasz Rutkowski, Krystian Lapa, Maciej Jaworski, Radoslaw Nielek, Danuta Rutkowska:
On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion. 717-724 - Gang Yang, Daopeng Wang, Jieping Xu:
A Hybrid Evolutionary Algorithm with Taboo and Competition Strategies for Minimum Vertex Cover Problem. 725-732 - Zhi-Min Huang, Wei-Neng Chen, Wen Shi, Xiao-Min Hu:
Ant Colony System for Carpool Service Problem with High Seating Capacity. 733-740 - Qiyu Cai, Xinyu Zhou, Anquan Jie, Maosheng Zhong, Mingwen Wang:
Enhancing Artificial Bee Colony Algorithm with Directional Information. 741-749 - Tommy Liu, Jo Plested:
Using Evolutionary Algorithms for Hyperparameter Tuning and Network Reduction Techniques to Classify Core Porosity Classes Based on Petrographical Descriptions. 750-757 - Angus Vos, Jo Plested:
Using an Evolutionary Algorithm to Optimize the Hyper-parameters of a Cascading Neural Network. 758-765
Artificial Intelligence and Cybersecurity
- Sean Park, Iqbal Gondal, Joarder Kamruzzaman, Jon Oliver:
Instruction Cognitive One-Shot Malware Outbreak Detection. 769-778
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