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ORCID16th PRICAI 2019: Cuvu, Yanuca Island, Fiji - Part II
- Abhaya C. Nayak
, Alok Sharma:
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11671, Springer 2019, ISBN 978-3-030-29910-1
Learning Models
- Bo Li, Xin-Hao Wang, Yong-Kang Peng, Li Chen, Sheng Ding:
Local Uncorrelated Subspace Learning. 3-11 - Dandan He, Pengfei Lin, Hailong Liu, Lei Ding, Jinrong Jiang:
DLENSO: A Deep Learning ENSO Forecasting Model. 12-23 - Qi-Qiao He, Patrick Cheong-Iao Pang, Yain-Whar Si:
Transfer Learning for Financial Time Series Forecasting. 24-36 - Guanghua Pan, Peilin Liu, Jun Wang, Rendong Ying, Fei Wen:
3DTI-Net: Learn 3D Transform-Invariant Feature Using Hierarchical Graph CNN. 37-51 - Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du:
Transfer Learning for Driving Pattern Recognition. 52-65 - Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation. 66-79 - Dongge Han, Wendelin Böhmer, Michael J. Wooldridge, Alex Rogers:
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination. 80-92 - Abbas Raza Ali, Marcin Budka, Bogdan Gabrys:
A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously. 93-106 - Chafik Samir, Jean-Michel Loubes, Anne-Françoise Yao, François Bachoc:
Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions. 107-120 - Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Toward Reciprocity-Aware Distributed Learning in Referral Networks. 121-135 - Yue Li, Weibin Zhao, Lin Shang:
A Novel Thought of Pruning Algorithms: Pruning Based on Less Training. 136-148 - Shinichi Yamada, Kourosh Neshatian:
Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines. 149-161 - Weijian Ni, Tong Liu, Qingtian Zeng:
Sparse Ordinal Regression via Factorization Machines. 162-174 - Hengliang Wang, Yuan Li, Chenfei Zhao, Kedian Mu:
An Approach with Low Redundancy to Network Feature Selection Based on Multiple Order Proximity. 175-187 - Quan Nguyen, Mikko Lauri, Simone Frintrop:
Distance Dependent Maximum Margin Dirichlet Process Mixture. 188-200 - Yong Liu, Lin Shang, Andy Song:
Dynamic Re-ranking with Deep Features Fusion for Person Re-identification. 201-213 - Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu:
MFAD: A Multi-modality Face Anti-spoofing Dataset. 214-225 - Jin Huang, Siguang Huang, Yao Liu, Yukun Hu, Yu Jiang:
Deep Learning for Intelligent Train Driving with Augmented BLSTM. 226-238
Neural Networks
- Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai:
Writing to the Hopfield Memory via Training a Recurrent Network. 241-254 - Zi Wang, Chengcheng Li, Xiangyang Wang, Dali Wang:
Towards Efficient Convolutional Neural Networks Through Low-Error Filter Saliency Estimation. 255-267 - Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai:
Momentum Acceleration of Quasi-Newton Training for Neural Networks. 268-281 - Ratneel Deo, Rohitash Chandra:
Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks. 282-295 - Binling Nie, Shouqian Sun, Dian Yu:
An End-to-End Structure Aware Graph Convolutional Network for Modeling Multi-relational Data. 296-308 - Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori:
Neural Gray-Box Identification of Nonlinear Partial Differential Equations. 309-321 - Chun Li, Lin Shang, Suping Xu:
Foreground Mask Guided Network for Crowd Counting. 322-334
Optimization
- Jia Bi, Steve R. Gunn:
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. 337-349 - Satoshi Hara, Takanori Maehara:
Convex Hull Approximation of Nearly Optimal Lasso Solutions. 350-363 - Ka Yee Wong, Raymond K. Wong, Haojie Huang:
Optimized Sequence Prediction of Risk Data for Financial Institutions. 364-378 - Vahid Riahi, M. A. Hakim Newton, Abdul Sattar:
Exploiting Setup Time Constraints in Local Search for Flowshop Scheduling. 379-392 - Zhiwen Ni, Xiaohu Ma, Xiao Sun, Lina Bian:
A Click Prediction Model Based on Residual Unit with Inception Module. 393-403 - Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. 404-418 - Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger:
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. 419-430 - Prasad Bhavana, Vineet Padmanabhan:
BMF: Matrix Factorization of Large Scale Data Using Block Based Approach. 431-436
Traffic and Vehicular Automation
- Hao Xue, Du Q. Huynh, Mark Reynolds:
Pedestrian Trajectory Prediction Using a Social Pyramid. 439-453 - Yimin Lin, Zhaoxiang Liu, Jianfeng Huang, Chaopeng Wang, Guoguang Du, Jinqiang Bai, Shiguo Lian:
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry. 454-467 - Prafull Prakash, Chaitanya Murti, J. Saketha Nath, Chiranjib Bhattacharyya:
Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. 468-481 - Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings:
Social Cost Guarantees in Smart Route Guidance. 482-495 - Mariusz Wzorek, Cyrille Berger, Patrick Doherty:
Router Node Placement in Wireless Mesh Networks for Emergency Rescue Scenarios. 496-509 - Yiling Liu, Hesheng Wang:
MotionRFCN: Motion Segmentation Using Consecutive Dense Depth Maps. 510-522 - Ruizhe Yu, Shunzhou Wang, Yao Lu, Huijun Di, Lin Zhang, Lihua Lu:
SAF: Semantic Attention Fusion Mechanism for Pedestrian Detection. 523-533 - Lauren M. Gee, Mark Reynolds:
Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication. 534-538
Social and Information Networks
- Tennakoon Mudiyanselage Gayani Tennakoon, Khanh Luong, Wathsala Anupama Mohotti, Sharma Chakravarthy, Richi Nayak:
Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks. 541-554 - Chunjing Xiao, Jianing Han, Wei Fan, Senzhang Wang, Rui Huang, Yuxiang Zhang:
Predicting Scientific Impact via Heterogeneous Academic Network Embedding. 555-568 - Murtadha H. M. Ahmed, Qun Chen, Yanyan Wang, Zhanhuai Li:
Hint-Embedding Attention-Based LSTM for Aspect Identification Sentiment Analysis. 569-581 - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining. 582-594 - Hangbin Zhang, Raymond K. Wong, Victor W. Chu:
Short-Term Memory Variational Autoencoder for Collaborative Filtering. 595-607 - Daichi Shibata, Ahmed Moustafa, Takayuki Ito, Shota Suzuki:
On Facilitating Large-Scale Online Discussions. 608-620 - Chunyu Wang, Yue Deng, Xianghua Li, Yingchu Xin, Chao Gao:
A Label-Based Nature Heuristic Algorithm for Dynamic Community Detection. 621-632 - Qifu Hu, Angsheng Li, Jiamou Liu, Jun Liu:
Time-Efficient Network Monitoring Through Confined Search and Adaptive Evaluation. 633-646 - Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai:
Autoencoding Binary Classifiers for Supervised Anomaly Detection. 647-659 - Yu Sang, Jinguang Sun, Si-Miao Wang, Xiangfu Meng, Heng Qi:
Contourlet Transform Based Seismic Signal Denoising via Multi-scale Information Distillation Network. 660-672 - Xinghao Song, Chunming Yang, Hui Zhang, Xunjian Zhao, Bo Li:
Network Embedding by Resource-Allocation for Link Prediction. 673-683 - Tao Zheng, Wei-Jie Chen, Ivor W. Tsang, Xin Yao:
Rectified Encoder Network for High-Dimensional Imbalanced Learning. 684-697 - Thanh Trung Huynh, Van Vinh Tong, Chi Thang Duong, Huynh Quyet Thang, Quoc Viet Hung Nguyen, Abdul Sattar:
Network Alignment by Representation Learning on Structure and Attribute. 698-711 - Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda:
Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern. 712-722
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