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ORCID20th PRICAI 2023: Jakarta, Indonesia - Part I
- Fenrong Liu
, Arun Anand Sadanandan, Duc Nghia Pham, Petrus Mursanto, Dickson Lukose:
PRICAI 2023: Trends in Artificial Intelligence - 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023, Jakarta, Indonesia, November 15-19, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14325, Springer 2024, ISBN 978-981-99-7018-6
Agents/Decision Theory
- Zhongjian Qiao, Kechen Jiao:
DAGE: Dropout with Action Gradient Estimator for Continuous Control. 3-14 - Lyn Qiu, Xu Li, Mingming Sun, Junchi Yan:
Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior. 15-22 - Karen Frilya Celine, Muhammad Ayaz Dzulfikar, Ivan Koswara:
Egalitarian Price of Fairness for Indivisible Goods. 23-28 - Shouliang Song, Anming Dong, Honglei Zhu, Shuai Wang, Jiguo Yu:
Intelligent Network Intrusion Detection and Situational Awareness for Cyber-Physical Systems in Smart Cities. 29-35
Data Mining and Knowledge Discovery
- Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo:
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis. 39-51 - Wenjing Xiong, Wu Chen, Jiamou Liu, Kaiqi Zhao:
An Anomaly Detection Framework for System Logs Based on Ensemble Learning. 52-65 - Payel Sadhukhan, Sarbani Palit:
Be Informed of the Known to Catch the Unknown. 66-78 - Liang Ge, Haifeng Li, Yiping Lin, Junwei Xie:
Network Structure Embedding Method Based on Role Domain Feature. 79-91 - Pin Jin, Liang Chen, Haopeng Chen, Lingti Kong, Zhengcao Li:
Machine Learning-Driven Reactor Pressure Vessel Embrittlement Prediction Model. 92-97 - Ahad N. Zehmakan, Khushvind Maurya:
Mitigating Misinformation Spreading in Social Networks via Edge Blocking. 98-103 - Yuhong Zhang, Zhihao Lin, Lin Qian, Xuegang Hu:
Multi-modal Component Representation for Multi-source Domain Adaptation Method. 104-109
(Deep) Reinforcement Learning
- Siying Wang, Hongfei Du, Wenyu Chen, Hong Qu:
Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning. 113-124 - Fanqi Lin, Shiyu Huang, Wei-Wei Tu:
Diverse Policies Converge in Reward-Free Markov Decision Processes. 125-136 - Briti Gangopadhyay, Pallab Dasgupta, Soumyajit Dey:
PruVer: Verification Assisted Pruning for Deep Reinforcement Learning. 137-149 - Xintian Cai, Yilin Liu, Quan Yuan, Guiyang Luo, Jinglin Li:
AdaptLight: Toward Cross-Space-Time Collaboration for Adaptive Traffic Signal Control. 150-156 - Qi Si, Xuesong Lu, Weiyi Li, Peng Pu:
DeepLRA: An Efficient Long Running Application Scheduling Framework with Deep Reinforcement Learning in the Cloud. 157-163 - Jinmiao Cong, Yang Liu, Chuanjuan Liu:
Guiding Task Learning by Hierarchical RL with an Experience Replay Mechanism Through Reward Machines. 164-170
Generative AI
- Ying Huang, Zhixin Li:
A Semantic Similarity Distance-Aware Contrastive Learning for Abstractive Summarization. 173-185 - Rui-Yang Ju, Yu-Shian Lin, Jen-Shiun Chiang, Chih-Chia Chen, Wei-Han Chen, Chun-Tse Chien:
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization. 186-198 - Huan Zhao, Shan Li, Bo Li, Xupeng Zha:
Coarse-to-Fine Response Generation for Document Grounded Conversations. 199-211 - Xuesong Gao, Junfeng Zhao:
Context-Dependent Text-to-SQL Generation with Intermediate Representation. 212-224 - Penghui Zhang, Guanming Xiong, Wen Zhao:
CSS: Contrastive Span Selector for Multi-span Question Answering. 225-236 - Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya:
Generative Model of Suitable Meme Sentences for Images Using AutoEncoder. 237-248 - Lichen Jia, Yang Yang, Jiansong Li, Hao Ding, Jiajun Li, Ting Yuan, Lei Liu, Zihan Jiang:
MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems. 249-261 - Weiwei Ding, Hanming Huang, Yuan Wang:
Semantic Segmentation of Remote Sensing Architectural Images Based on GAN and UNet3+ Model. 262-273 - Jiyan Qiu, Wu Yuan, Xiaoyi Hu, Jian Zhang, Xuebin Chi:
Sparse Reconstruction Method for Flow Fields Based on Mode Decomposition Autoencoder. 274-285 - Xuewei Li, Siyuan Ping, Xuzhou Fu, Jie Gao, Zhiqiang Liu:
StyleDisentangle: Disentangled Image Editing Based on StyleGAN2. 286-297 - Yuyao Xu, Jiping Zheng, Yanxin Tao, Kaiqin Zhu:
A Property Constrained Video Summarization Framework via Regret Minimization. 298-304 - Bin Chen, Mizuho Iwaihara:
Enhancing Keyphrase Generation by BART Finetuning with Splitting and Shuffling. 305-310
Graph Learning
- Tianci Wang, Yantong Lai, Gaode Chen, Ruohan Wang, Jiahui Shen, Ji Xiang:
A Dynamic-aware Heterogeneous Graph Neural Network for Next POI Recommendation. 313-326 - Xinfang Zhong, Zhixin Li:
Cross-scale Dynamic Relation Network for Object Detection. 327-339 - Jun Feng, Yuanhui Mao:
Distribution-Adaptive Graph Attention Networks for Flood Forecasting. 340-352 - Yuejun Jiao, Song Qiu, Mingsong Chen, Dingding Han, Qingli Li, Yue Lu:
DSAM-GN: Graph Network Based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification. 353-364 - Li Wang, Nianwen Ning, Yihan Liu, Yining Lv, Yongmeng Tian, Yanyu Zhang, Yi Zhou:
Dynamic Spatial-Temporal Dual Graph Neural Networks for Urban Traffic Prediction. 365-376 - Dengzhe Liang, Binglin Li, Hongxi Li, Yuncheng Jiang:
MuHca: Mixup Heterogeneous Graphs for Contrastive Learning with Data Augmentation. 377-388 - Meihong Xiao, Tingxuan Chen, Zidong Wang, Jun Long, Jincai Huang, Liu Yang:
Parameter-Lite Adapter for Dynamic Entity Alignment. 389-400 - Xiaojian Ma, Liangzhe Han, Gang Wang, Xu Liu, Tongyu Zhu:
Zoom-Based AutoEncoder for Origin-Destination Demand Prediction. 401-412
Healthcare and Wellbeing
- Ke Cao, Lihua Tian, Qiwei Li, Hao Chen, Chen Li, Yu Fan, Jianwei Ye, Weimin Yu:
A Stagewise Deep Learning Framework for Tooth Instance Segmentation in CBCT Images. 415-425 - Wenya Liu, Zhi Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi:
Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis. 426-437 - Yuichi Ishikawa, Nao Kobayashi, Yasushi Naruse, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa:
Learning Cross-Modal Factors from Multimodal Physiological Signals for Emotion Recognition. 438-450 - Hongmin Zhang, Ming Shi, Zhongwei Huang, Zhi Yang, Ran Zhou, Haitao Gan:
VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE. 451-463
Knowledge Representation and Reasoning
- Shaoyu Wang, Jingsheng Yan, Yang Liu, Pan Hu, Hongming Cai, Lihong Jiang:
Parallel Construction of Knowledge Graphs from Relational Databases. 467-479 - Shuichi Chikatsuji, Kenta Yamamoto, Ryu Takeda, Kazunori Komatani:
Knowledge Graph Augmentation with Entity Identification for Improving Knowledge Graph Completion Performance. 480-486 - Ryuta Arisaka, Takayuki Ito:
Relational Acceptability Semantics of Abstract Argumentation. 487-493
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