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ORCID26th PAKDD 2022: Chengdu, China - Part II
- 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 II. Lecture Notes in Computer Science 13281, Springer 2022, ISBN 978-3-031-05935-3
Foundations
- Md. Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat, Riyasaat Ahmed Rahul, Tamim Bin Zakir, Farhana Meem, Md. Saddam Hossain Mukta, Swakkhar Shatabda:
Text2Chart: A Multi-staged Chart Generator from Natural Language Text. 3-16 - Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie:
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. 17-29 - Junxiang Wang, Liang Zhao:
Convergence and Applications of ADMM on the Multi-convex Problems. 30-43 - Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang:
Prototypical Classifier for Robust Class-Imbalanced Learning. 44-57 - Junwei Zhang, Zhao Li, Juan Wang, Yinghui Wang, Shichang Hu, Jie Xiao, Zhaolin Li:
Quantum Entanglement Inspired Correlation Learning for Classification. 58-70 - Fan Min, Yu Li, Liyan Liu:
Self-paced Safe Co-training for Regression. 71-82 - Seyed M. R. Modaresi, Aomar Osmani, Mohammadreza Razzazi, Abdelghani Chibani:
Uniform Evaluation of Properties in Activity Recognition. 83-95 - Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti:
Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers. 96-108 - Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min:
Attention-to-Embedding Framework for Multi-instance Learning. 109-121 - Mei Yang, Wen-Xi Zeng, Fan Min:
Multi-instance Embedding Learning Through High-level Instance Selection. 122-133 - Lamine Diop:
High Average-Utility Itemset Sampling Under Length Constraints. 134-148 - Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker:
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. 149-160 - Yu Fang, Xuemei Cao, Xin Wang, Fan Min:
Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction. 161-173 - Jiangmei Luo, Qingsheng Zhu, Junnan Li, Dongdong Cheng, Mingqiang Zhou:
A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation. 174-186 - Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri:
Modelling Zeros in Blockmodelling. 187-198 - Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu:
Towards Better Generalization for Neural Network-Based SAT Solvers. 199-210 - Maciej Skorski, Alessandro Temperoni, Martin Theobald:
Robust and Provable Guarantees for Sparse Random Embeddings. 211-223 - Size Ma, Keji Han, Xianzhong Long, Yun Li:
Transferable Interpolated Adversarial Attack with Random-Layer Mixup. 224-235 - Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel:
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification. 236-248 - Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer:
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis. 249-261 - Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing Classifier Fairness with Collider Bias. 262-276 - Qihang Chen, Dayang Liang, Yunlong Liu:
Hard Negative Sample Mining for Contrastive Representation in Reinforcement Learning. 277-288 - Aomar Osmani, Massinissa Hamidi:
Reduction of the Position Bias via Multi-level Learning for Activity Recognition. 289-302 - Yao Dong, Lei Wang, Ji Xiang, Kai Liu:
Modeling IsA Relations via Box Structure for Knowledge Graph Embedding. 303-315 - Xianyang Qi, Jiashu Pu, Shiwei Zhao, Runze Wu, Jianrong Tao:
A GNN-Enhanced Game Bot Detection Model for MMORPGs. 316-327 - Donghun Lee, Warren B. Powell:
Online Learning with Regularized Knowledge Gradients. 328-339 - Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Fact Aware Multi-task Learning for Text Coherence Modeling. 340-353 - Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme:
Open Set Recognition for Time Series Classification. 354-366 - Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Gang Li:
Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data. 367-379 - Shaofan Liu, Shiliang Sun:
Safe Offline Reinforcement Learning Through Hierarchical Policies. 380-391 - David Hason Rudd, Huan Huo, Guandong Xu:
Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition. 392-404 - Yuan Li, Wei Mi, Jingguo Ge, Jingyuan Hu, Hui Li, Daoqing Zhang, Tong Li:
SelectAug: A Data Augmentation Method for Distracted Driving Detection. 405-416 - Cangqi Zhou, Sunyue Xu, Hao Ban, Jing Zhang:
Neural Topic Modeling with Gaussian Mixture Model and Householder Flow. 417-428 - Rob Churchill, Lisa Singh:
Dynamic Topic-Noise Models for Social Media. 429-443 - Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li:
Contrastive Attributed Network Anomaly Detection with Data Augmentation. 444-457 - Wenya Zhu, Xiaoyu Lv, Baosong Yang, Yinghua Zhang, Xu Yong, Linlong Xu, Yinfu Feng, Haibo Zhang, Qing Da, Anxiang Zeng, Ronghua Chen:
Cross-Lingual Product Retrieval in E-Commerce Search. 458-471 - Siamak Farshidi, Zhiming Zhao:
An Adaptable Indexing Pipeline for Enriching Meta Information of Datasets from Heterogeneous Repositories. 472-484 - Piyush Kansal, Nitish Kumar, Sangam Verma, Karamjit Singh, Pranav Pouduval:
FLiB: Fair Link Prediction in Bipartite Network. 485-498 - Chih-Chun Yang, Cheng-Te Li, Shou-De Lin:
SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling. 499-510 - Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. 511-525 - Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen:
Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. 526-538 - Qichao Chen, Wenjie Jiang, Kuan Li, Yi Wang:
Improving Energy-Based Out-of-Distribution Detection by Sparsity Regularization. 539-551
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