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ORCID18th PRICAI 2022: Shanghai, China - Part I
- Sankalp Khanna
, Jian Cao, Quan Bai, Guandong Xu:
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13629, Springer 2022, ISBN 978-3-031-20861-4
AI Foundations/Decision Theory
- Shaily Mishra, Manisha Padala, Sujit Gujar:
Fair Allocation with Special Externalities. 3-16 - Tomoya Sugahara, Kaito Yamashita, Nathanaël Barrot, Miyuki Koshimura, Makoto Yokoo:
Robust Weighted Partial Maximum Satisfiability Problem: Challenge to σ2P-Complete Problem. 17-31 - Xiaolong Liang, Yì N. Wáng:
Epistemic Logic via Distance and Similarity. 32-45 - Marco Baioletti, Francesco Santini:
Abstract Argumentation Goes Quantum: An Encoding to QUBO Problems. 46-60 - Yoichiro Iida, Tomohiro Sonobe, Mary Inaba:
Diversification of Parallel Search of Portfolio SAT Solver by Search Similarity Index. 61-74 - Mark Alexander Burgess, Charles Gretton, Josh Milthorpe, Luke Croak, Thomas Willingham, Alwen Tiu:
Dagster: Parallel Structured Search with Case Studies. 75-89 - Huacong Jiang, Weiming Liu, Bin Li:
Faster Optimistic Online Mirror Descent for Extensive-Form Games. 90-103 - Saurabh Fadnis, Jussi Rintanen:
Generalized 3-Valued Belief States in Conformant Planning. 104-117 - Lulu Kong, Chao Gao, Shuang Peng:
Clustering-Based Network Inference with Submodular Maximization. 118-131
Applications of AI
- Xin Xu, Yu Dong, Fan Zhu:
A LiDAR Based Control Solution to Achieve High Precision in Autonomous Parking. 135-147 - Zequan Xu, Qihang Sun, Shaofeng Hu, Jiguang Qiu, Chen Lin, Hui Li:
Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection. 148-160 - Junwei Li, Junzhong Ji:
Deep Forest with Sparse Topological Feature Extraction and Hash Mapping for Brain Network Classification. 161-174 - Lulu Sun, Zhouming Liu, Choujun Zhan, Hu Min:
COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network. 175-187 - Weipeng Chen, Haiwei Pan, Kejia Zhang, Xin Du, Qianna Cui:
VMEKNet: Visual Memory and External Knowledge Based Network for Medical Report Generation. 188-201 - Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki:
Detecting Video Anomalous Events with an Enhanced Abnormality Score. 202-217 - Danxu Wang, Zhonglin Sun:
Frequency Domain Based Learning with Transformer for Underwater Image Restoration. 218-232 - Yazhou Huang, Hao Pan, Zhiyu Zeng:
MMISeg: A Semi-supervised Segmentation Method Based on Mixup and Mutual Information for Cardiac MRI Segmentation. 233-246 - Qingyou He, Liangqun Li:
Dual-Stream Feature Fusion Network for Detection and ReID in Multi-object Tracking. 247-260 - Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Ichiro Ide, Phi Le Nguyen:
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning. 261-274 - Yaning Zhang, Tianyi Wang, Minglei Shu, Yinglong Wang:
A Robust Lightweight Deepfake Detection Network Using Transformers. 275-288 - Xingkong Ma, Houjie Qiu, Shujia Yao, Xinyi Chen, Jingsong Zhang, Zhaoyun Ding, Shaoyong Li, Bo Liu:
A General Personality Analysis Model Based on Social Posts and Links. 289-303 - Yinan Bao, Qianwen Ma, Lingwei Wei, Ding Wang, Wei Zhou, Songlin Hu:
Deception Detection Towards Multi-turn Question Answering with Context Selector Network. 304-315 - Rongguang Ye, Ranmin Wang, Yantong Guo, Lei Chen:
SIA-Unet: A Unet with Sequence Information for Gastrointestinal Tract Segmentation. 316-326 - Zihao Gao, Huifang Ma, Xiaohui Zhang, Zheyu Wu, Zhixin Li:
Co-contrastive Self-supervised Learning for Drug-Disease Association Prediction. 327-338 - Ruijun Li, Weihua Li, Yi Yang, Quan Bai:
Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention Based Full Semantic Information Mining. 339-350
Data Mining and Knowledge Discovery
- Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu:
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. 353-365 - Peiwang Tang, Xianchao Zhang:
Features Fusion Framework for Multimodal Irregular Time-series Events. 366-379 - Hao Li, Mingjian Tang, Kewen Liao, Jie Shao:
A Multi-output Integration Residual Network for Predicting Time Series Data with Diverse Scales. 380-393 - Jufang Duan, Yi Wang, Wei Zheng:
PLAE: Time-Series Prediction Improvement by Adaptive Decomposition. 394-407 - Mianfan Chen, Wenjun Ma, Shun Mao, Yuncheng Jiang:
GMEKT: A Novel Graph Attention-Based Memory-Enhanced Knowledge Tracing. 408-421 - Junwei Zhang, Hao Wang, Xiangfeng Luo:
Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction. 422-434 - Da Huang, Fangyuan Lei:
Temporal Edge-Aware Hypergraph Convolutional Network for Dynamic Graph Embedding. 435-449 - Takeru Araki, Yuan Luo, Minyi Guo:
Performance Improvement Validation of Decision Tree Algorithms with Non-normalized Information Distance in Experiments. 450-464 - Yang-yang Liu, Jian-Wei Liu:
The Time-Sequence Prediction via Temporal and Contextual Contrastive Representation Learning. 465-476 - Hongyi Qian, Baohui Wang, Ping Ma, Lei Peng, Songfeng Gao, You Song:
Managing Dataset Shift by Adversarial Validation for Credit Scoring. 477-488 - Yujie Li, Yu Sang, Wei Chen, Lei Zhao:
Linking Check-in Data to Users on Location-aware Social Networks. 489-503 - Qin Qu, Zhi Wang, Wu Chen:
Robust Subspace Clustering Based on Latent Low-rank Representation with Weighted Schatten-p Norm Minimization. 504-515
Evolutionary Computation/Optimisation
- Rui Zhang, Andrew Lensen, Yanan Sun:
Speeding up Genetic Programming Based Symbolic Regression Using GPUs. 519-533 - Shu-Jun Li, Mingjia Li, Hong Qian:
High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension. 534-547 - Dingming Liu, Haopu Shang, Wenjing Hong, Chao Qian:
Multi-objective Evolutionary Instance Selection for Multi-label Classification. 548-561 - Jiyuan Pei, Yi Mei, Jialin Liu, Xin Yao:
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. 562-573 - Guanghui Zhu, Shen Jiang, Xu Guo, Chunfeng Yuan, Yihua Huang:
Evolutionary Automated Feature Engineering. 574-586
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