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ORCID21st PRICAI 2024: Kyoto, Japan - Part I
- Rafik Hadfi
, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai:
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15281, Springer 2025, ISBN 978-981-96-0115-8
Machine Learning
- Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi:
Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation. 3-15 - Tejas Kiran Chaudhari, Naresh Manwani:
EQUISCALE: Equitable Scaling for Abstention Learning. 16-28 - Mashfiqul Huq Chowdhury, Yuichi Hirose, Stephen Marsland, Yuan Yao:
Unsupervised Clustering Using a Variational Autoencoder with Constrained Mixtures for Posterior and Prior. 29-40 - Junjie Gao, Xiangyu Zheng, Dongdong Wang, Zhixiang Huang, Bangqi Zheng:
UTBoost: Gradient Boosted Decision Trees for Uplift Modeling. 41-53 - Hangwei He, Libing Wu, Enshu Wang, Yizhou Wang, Yu Zhao:
CodeMosaic Patch: Physical Adversarial Attacks Against Infrared Aerial Object Detectors. 54-68 - Chongwei Huang, Jian Hou, Huaqiang Yuan:
Sequential Clustering for Real-World Datasets. 69-80 - Danni Huang, Jicheng Yu, Shun Mao, Jiawei Li, Yuncheng Jiang:
Dual-Mode Contrastive Learning-Enhanced Knowledge Tracing. 81-92 - Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen:
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. 93-105 - Xiaolong Liang, Yì N. Wáng:
Characterization of Similarity Metrics in Epistemic Logic. 106-118 - Zhigang Liu, Hao Yan, Yurong Zhong, Weiling Li:
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery. 119-133 - Mohamad Rasmy, Caroline Sabty, Nourhan Sakr, Alia El Bolock:
Enhanced Cognitive Distortions Detection and Classification Through Data Augmentation Techniques. 134-145 - Raad Shariat, John Z. Zhang:
Enhancing Music Genre Classification Using Augmented Features Ensemble Learning Technique. 146-157 - Min Teng, Chao Gao, Zhen Wang, Jun Tanimoto:
A Multi-layer Network Community Detection Method via Network Feature Augmentation and Contrastive Learning. 158-169 - Hui Wang, Tao Hu, Xiaoke Geng, Kai Li:
Scene Text Recognition Based on Corner Point and Attention Mechanism. 170-181 - Naihao Wang, Ruirui Li:
A Comprehensive Framework for Debiased Sample Selection Across All Noise Types. 182-193 - You Wu, Jingfeng Guo, Xiao Chen, Xiao Pan, Bin Liu:
A Traffic Flow Prediction Model Integrating Dynamic Implicit Graph Information. 194-208 - Xiao-Lei Xia, Mingxing Ouyang:
A Recursive Learning Algorithm for the Least Squares SVM. 209-220 - Zhihuan Xing, Yuqing Lan, Yin Yu, Yong Cao, Xiaoyi Yang, Yichun Yu, Dan Yu:
BDEL: A Backdoor Attack Defense Method Based on Ensemble Learning. 221-235 - Haowei Xu, Chao Gao, Xianghua Li, Zhen Wang, Jun Tanimoto:
Customizing Spatial-Temporal Graph Mamba Networks for Pandemic Forecasting. 236-242 - Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata:
Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor. 243-256 - Haoning Yang, Yimin Wang, Yixi Wang, Jun Chen:
T-FIA: Temporal-Frequency Interactive Attention Network for Long-Term Time Series Forecasting. 257-268 - Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. 269-281 - Zhengchao Zhang, Lianke Zhou, Junzheng Sun, Nianbin Wang:
A Quality Assessment Method of Few-Shot Datasets Based on the Fusion of Quantity and Quality. 282-293
Deep Learning
- Feiyang Dong, Jizhong Jin, Lei Li, Heyang Li, Yucheng Zhang:
CSDCNet: A Semantic Segmentation Network for Tubular Structures. 297-308 - Ruiqi Chen, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic. 309-321 - Jie Li, Yuxia Wang, Yifan Wang, Ruiyun Yu, Xingwei Wang:
HN-Darts:Hybrid Network Differentiable Architecture Search for Industrial Scenarios. 322-327 - Yangfan Zhang, Bing Guo:
High-Order Structure Enhanced Graph Clustering Network. 328-340 - Fan Wu, Zineng Zhou, Haiyong Luo, Fang Zhao, Bo Zhou:
CAFGO: Confidence-Adaptive Factor Graph Optimization Algorithm for Fusion Localization. 341-347 - Wei Fu, Wenqi Lou, Yunji Qin, Lei Gong, Chao Wang, Xuehai Zhou:
MFNAS: Multi-fidelity Exploration in Neural Architecture Search with Stable Zero-Shot Proxy. 348-360 - Tianci Wang, Yantong Lai, Yiyuan Wang, Ji Xiang:
DyAGL: A Dynamic-Aware Adaptive Graph Learning Network for Next POI Recommendation. 361-374 - Jie Xie, Mingying Zhu, Juan Gabriel Colonna:
Acoustic Classification of Bird Species Using Improved Pre-trained Models. 375-382 - Xin Sun, Yongqing Mi, Jia Liu, Hongao Li:
Aspect Term Extraction via Dynamic Attention and a Densely Connected Graph Convolutional Network. 383-395 - Niu Guanchen, Songsong Cheng, Teng Li:
NLDF: Neural Light Dynamic Fields for 3D Talking Head Generation. 396-402 - Songtao Cai, Li Li:
Enhanced Knowledge Tracing via Frequency Integration and Order Sensitivity. 403-415 - Rui Mao, Xufei Zhuang, Xudong Gao, Haitao Zhang, Qing-Dao-Er-Ji Ren, Bao Shi, Yatu Ji, Nier Wu:
Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting. 416-428 - Zhen Xiong, Haozhi Huang, Jundong Tan, Guanghua Yang:
Pose Preserving Landmark Guided Neural Radiation Fields for Talking Portrait Synthesis. 429-440 - Leilei Li, Jun Luo, Pan Dong, Xiaoxiang Fang, Axin Yu, Zhe Jiang:
Adaptive Optimisation of PyTorch Memory Pools for DNNs. 441-453 - Jiahui Hu, Jie Xu, Jiakun Chen, LiQiang Qiao, Jilu Wang, Feiran Huang, Chaozhuo Li:
Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank. 454-466 - Jiakun Chen, Jie Xu, Jiahui Hu, LiQiang Qiao, Shuo Wang, Feiran Huang, Chaozhuo Li:
Context-Aware Structural Adaptive Graph Neural Networks. 467-479 - Shangru Jia, Tatsuhiko Tsunoda, Alok Sharma:
multi-GAT: Integrative Analysis of scRNA-seq and scATAC-seq Data Using Graph Attention Networks for Cell Annotation. 480-486
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