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ORCID26th PAKDD 2022: Chengdu, China - Part III
- João Gama, Tianrui Li
, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13282, Springer 2022, ISBN 978-3-031-05980-3
Applications
- Pranay Gupta, Manish Gupta:
NewsKVQA: Knowledge-Aware News Video Question Answering. 3-15 - Shenghao Liu, Bang Wang, Bin Liu, Laurence T. Yang:
Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation. 16-28 - Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold:
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. 29-41 - Xianzhuang Li, Zhen Wang, Xuesong Wu, Bo Yuan, Xueqian Wang:
Input Enhanced Logarithmic Factorization Network for CTR Prediction. 42-54 - Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. 55-66 - Xin Zhou, Shigeo Matsubara, Yuan Liu, Qidong Liu:
Bribery in Rating Systems: A Game-Theoretic Perspective. 67-78 - Zilong Lin, Yong Shi, Zhi Xue:
IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection. 79-91 - Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. 92-104 - Anindita Sinha Banerjee, Sachin Pawar, Girish K. Palshikar, Devavrat Thosar, Jyoti Bhat, Payodhi Mandloi:
Estimating Skill Proficiency from Resumes. 105-118 - Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai:
Causal Enhanced Uplift Model. 119-131 - Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang:
An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management. 132-146 - Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen:
A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System. 147-160 - Haoyu Zhu, Xiuyi Jia, Changdong Zhang, Tingting Liu:
ToothCR: A Two-Stage Completion and Reconstruction Approach on 3D Dental Model. 161-172 - Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty:
BaDumTss: Multi-task Learning for Beatbox Transcription. 173-186 - Cuixiao Liang, Wenjie Cai, Shaowu Peng, Qiong Liu:
Detail Perception Network for Semantic Segmentation in Water Scenes. 187-199 - Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei:
Learning Discriminative Representation Base on Attention for Uplift. 200-211 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Mental Health Treatments Using an Explainable Adaptive Clustering Model. 212-222 - Daoguang Zan, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan, Yongji Wang:
S2QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph. 223-236 - Shuai Wang, Lin Shang:
Improve Chinese Spelling Check by Reevaluation. 237-248 - Jun Zhang, Menqian Cai, Chenyu Zhao, Xiaowei Zhang, Zhiqian Zhang, Haiheng Chen, Sulong Xu:
Extreme Multi-label Classification with Hierarchical Multi-task for Product Attribute Identification. 249-260 - Yuman Sang, Yifeng Zeng, Ruiying Liu, Fan Yang, Zhangrui Yao, Yinghui Pan:
Exploiting Spatial Attention and Contextual Information for Document Image Segmentation. 261-274 - Wenya Zhu, Yinghua Zhang, Yu Zhang, Yu-Hang Zhou, Yinfu Feng, Yuxiang Wu, Qing Da, Anxiang Zeng:
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce. 275-287 - Jia Guo, Wendi Ji, Jiahao Yuan, Xiaoling Wang:
Multi-channel Orthogonal Decomposition Attention Network for Sequential Recommendation. 288-300 - Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang:
Rethinking Adjacent Dependency in Session-Based Recommendations. 301-313 - Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher Gordon, Ronald R. Grunstein:
Insomnia Disorder Detection Using EEG Sleep Trajectories. 314-325 - Marco Gigli, Fabio Stella:
Parametric Bandits for Search Engine Marketing Optimisation. 326-337 - Bing Shi, Zhaoxiang Song, Xizi Huang, Jianqiao Xu:
User Incentive Based Bike-Sharing Dispatching Strategy. 338-352 - Mudit Agarwal, Naresh Manwani:
ALBIF: Active Learning with BandIt Feedbacks. 353-364 - Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He:
A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. 365-378
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last updated on 2024-12-04 20:02 CET by the dblp team
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