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28th PAKDD 2024: Taipei, Taiwan - Part V
- De-Nian Yang
, Xing Xie
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14649, Springer 2024, ISBN 978-981-97-2264-8
Multimedia and Multimodal Data
- Jingwei Zuo
Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling. 3-14 - Yu-Ling Chang, Hao-Shang Ma, Shiou-Chi Li, Jen-Wei Huang:
Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning. 15-27 - Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu:
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. 28-39 - Junghun Kim, Ka Hyun Park, U Kang:
Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning. 40-52 - Avinash Anand
MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting. 53-64 - Raha Moraffah
Adversarial Text Purification: A Large Language Model Approach for Defense. 65-77 - Tzu-Hsien Tsai, Yun-Da Tsai, Shou-De Lin:
lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap. 78-89
Recommender Systems
- Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila:
ScaleViz: Scaling Visualization Recommendation Models on Large Data. 93-104 - Menglin Kong, Li Fan
Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation. 105-117 - Ludwig Zellner, Simon Rauch
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises. 118-130 - Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme:
HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation. 131-143 - Yonghao Huang, Pengxiang Lan, Xiaokang Li, Yihao Zhang, Kaibei Li:
Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation. 144-155 - Yu Wang
Conditional Denoising Diffusion for Sequential Recommendation. 156-169 - Lei Pan, Von-Wun Soo:
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering. 170-181 - Yu Ji, Qi Shen, Shixuan Zhu, Hang Yu, Yiming Zhang, Chuan Cui, Zhihua Wei:
Towards Multi-subsession Conversational Recommendation. 182-194 - Liguo Chen, Zhigang Gong, Hong Xie, Mingqiang Zhou:
False Negative Sample Aware Negative Sampling for Recommendation. 195-206 - Yifan Liu
Multi-sourced Integrated Ranking with Exposure Fairness. 207-218 - Zhen-Hua Zhuang, Lijun Zhang:
Soft Contrastive Learning for Implicit Feedback Recommendations. 219-230 - Chenyang Zhou, Guobing Zou, Shengxiang Hu, Hehe Lv, Liangrui Wu, Bofeng Zhang:
Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation. 231-243 - Jia-Hao Syu
TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System. 244-255
Spatio-temporal Data
- Xingbang Hu
Mask Adaptive Spatial-Temporal Recurrent Neural Network for Traffic Forecasting. 259-270 - Yuanyi Shang, Kai Ming Ting, Zijing Wang, Yufan Wang:
Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval. 271-283 - Lo Pang-Yun Ting, Chi-Chun Lin, Shih-Hsun Lin, Yu-Lin Chu, Kun-Ta Chuang:
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations. 284-296 - Thanh Dat Le, Yan Huang:
Localization Through Deep Learning in New and Low Sampling Rate Environments. 297-308 - Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang:
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. 309-321 - Li Sun, Juanjuan Zhao, Fan Zhang, Kejiang Ye:
GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System. 322-335 - Li Sun, Juanjuan Zhao, Fan Zhang, Rui Zhang, Kejiang Ye:
FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data. 336-349 - Yuchen Song, Juanjuan Zhao, Xitong Gao, Fan Zhang, Kejiang Ye:
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories. 350-362 - Rajjat Dadwal, Ran Yu, Elena Demidova:
A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings. 363-375 - Miaomiao Yang, Tao Wu, Jiali Mao, Kaixuan Zhu, Aoying Zhou:
Attention Mechanism Based Multi-task Learning Framework for Transportation Time Prediction. 376-388 - Wenbo Zhang
MSTAN: A Multi-view Spatio-Temporal Aggregation Network Learning Irregular Interval User Activities for Fraud Detection. 389-401
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