Advances in knowledge discovery and data mining Part 5

The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7-10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 72...

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Körperschaft: Pacific-Asia Conference on Knowledge Discovery and Data Mining (VerfasserIn)
Weitere Verfasser: Huang, Jen-Wei (HerausgeberIn), Lin, Jerry Chun-Wei (HerausgeberIn), Pei, Jian (HerausgeberIn), Tseng, Vincent S. (HerausgeberIn), Xie, Xing (HerausgeberIn), Yang, De-Nian (HerausgeberIn)
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Sprache:eng
Veröffentlicht: Singapore Springer 2024
Schriftenreihe:Lecture notes in computer science 14649
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Titel Jahr Verfasser
Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning 2024 Kim, Junghun
ScaleViz: Scaling Visualization Recommendation Models on Large Data 2024 Ahmad, Ghazi Shazan
Adversarial Text Purification: A Large Language Model Approach for Defense 2024 Moraffah, Raha
Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation 2024 Kong, Menglin
Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation 2024 Huang, Yonghao
False Negative Sample Aware Negative Sampling for Recommendation 2024 Chen, Liguo
Multi-sourced Integrated Ranking with Exposure Fairness 2024 Liu, Yifan
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations 2024 Ting, Lo Pang-Yun
FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data 2024 Sun, Li
Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling 2024 Zuo, Jingwei
MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting 2024 Anand, Avinash
Towards Multi-subsession Conversational Recommendation 2024 Ji, Yu
TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System 2024 Syu, Jia-Hao
Mask Adaptive Spatial-Temporal Recurrent Neural Network for Traffic Forecasting 2024 Hu, Xingbang
Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval 2024 Shang, Yuanyi
Localization Through Deep Learning in New and Low Sampling Rate Environments 2024 Le, Thanh Dat
GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System 2024 Sun, Li
Attention Mechanism Based Multi-task Learning Framework for Transportation Time Prediction 2024 Yang, Miaomiao
Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning 2024 Chang, Yu-Ling
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection 2024 Yu, Yongxin
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