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ORCID29th PAKDD 2025: Sydney, NSW, Australia - Part I
- Xintao Wu
, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15870, Springer 2025, ISBN 978-981-96-8169-3
Anomaly Detection
- Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao:
On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection. 3-16 - Wangli Yang, Xinrong Hu, Jie Yang, Yi Guo:
sMOOD: subManifold Based Out-of-Distribution Detection. 17-30 - Sebastian Chwilczynski, Dariusz Brzezinski:
Random Similarity Isolation Forests. 31-43 - Byeongtae Park, Harim Lee, Sungmoon Kim, Dong-Kyu Chae:
Dynamic Spuriosity Bias Harmonizer: Combatting Spurious Features for Domain Generalization. 44-56 - Seonggyeom Kim, Minju Kim, Dong-Kyu Chae:
A Unified Detector for Both Adversarial Attacks and Out-of-Distribution Samples Based on Kernel Path Distribution. 57-69 - Shaowen Tang, Raymond K. Wong:
Tailored Bipartite Graph Anomaly Detection via Fixed-Attention Network. 70-81 - Huihui Chang, Haoyi Fan, Han Han, Mingzhe Han, Bing Zhou, Zongmin Wang:
Rethinking Contrastive Learning for Electrocardiogram Anomaly Detection: A Time-Frequency Augmentations Perspective. 82-94 - Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet:
Streaming Isolation Forest. 95-107 - Buhua Liu, Shuo Yang, Zhiqiang Xu, Haoyi Xiong, Yiu-ming Cheung, Zeke Xie:
Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection. 108-120 - Kijung Lee, Youngwan Jo, Sunghyun Ahn, Sanghyun Park:
MDVAD: Multimodal Diffusion for Video Anomaly Detection. 121-133
Business Data Analysis
- B. Li, Bingce Wang, Lifeng Li, Weiping Li, Tong Mo:
EquityNet: Unveiling Corporate Equity Relationships in Business Conglomerates Using Graph Neural Networks and GDV Features. 137-148 - Meng Zou, Quan You:
FGPA: An Integrated Framework for Mutual Fund Grouping and Group Persistence Assessment. 149-161 - Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu:
Labor Migration Modeling Through Large-Scale Job Query Data. 162-174 - Xianglong Bao, Kewen Wang, Zhe Wang, Hong Wu, Jiangtao Zuo, Xiaowang Zhang, Zhiyong Feng, Hutong Wu:
Explainable Temporal Knowledge Graph Reasoning via Expressive Logic Rules. 175-186
Clustering
- François Camelin, Samir Loudni, Gilles Pesant, Charlotte Truchet:
Sampling Frequent and Diverse Patterns Through Compression. 189-200 - Yung-Peng Hsu, Hung-Hsuan Chen:
Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures. 201-212 - Mamdouh Aljoud, Gabriel Marques Tavares, Collin Leiber, Thomas Seidl:
DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning. 213-224 - Yiran Luo, Evangelos E. Papalexakis:
ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks. 225-237 - Yizhen Li, Tao Qin, Jinzi Zou, Chenxu Wang, Yuan-cheng Lu:
LRTHT: An Efficient Log Clustering Framework Based on Radix Tree and Hash Table. 238-249
Continual Learning
- Yun-Da Tsai, Tzu-Hsien Tsai, Shou-De Lin:
Differentiable Good Arm Identification. 253-264 - Yun-Ang Wu, Yun-Da Tsai, Shou-De Lin:
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem. 265-277 - Dupati Srikar Chandra, P. K. Srijith, Dana Rezazadegan, Chris McCarthy:
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning. 278-290
Contrastive Learning
- Rong Qian, ZongFang Lv, YuChen Zhou:
Multi-view Hypergraph Adaptive Contrastive Learning. 293-305 - Arash Khoeini, Shuman Peng, Martin Ester:
Informed Augmentation Selection Improves Tabular Contrastive Learning. 306-318 - Ratri Mukherjee, Kishlay Jha:
Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. 319-330 - Chi Zhou, Shaolin Wang, Haoyang Che, Lei Yao, Chang Tang, Ying Gu:
Adaptive and Discriminative Contrastive Learning for Sequential Recommendation. 331-343 - Yizhou Liang, Chunshi Wang, Bin Zhao:
MLCL: Remote Sensing Change Detection Using Multi-level Contrastive Learning. 344-355
Data Processing for Learning
- Zijie Zhong, Yunhui Zhang, Ziyi Chang, Zengchang Qin:
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation. 359-371 - Su-Jung Wu, Josh Jia-Ching Ying, Vincent S. Tseng:
DiPPSI: Diffusion-Based Pulsative Physiological Signal Imputation. 372-383 - Juan Shu, Qiyu Han, George Chen, Xihao Cao, Kangming Luo, Dan Pallotta, Shivam Agrawal, Yuping Lu, Xiaoyu Zhang, Jawad Mansoor, Jyoti Anand:
Time Series Treatment Effects Analysis with Always-Missing Controls. 384-396 - Min Zheng, Weiwei Liu, Yue Wang, Chunpeng Wu:
Exploring Fine-Grained Relation Alignment for Multimedia Information Retrieval. 397-409 - Bao Duong, Nu Hoang, Thin Nguyen:
Amortized Conditional Independence Testing. 410-423 - Zihan Yan, Junxin Zhu, Jincan Xiong, Rui Xi, Shuhuan Fan, Mengshu Hou:
Faper: Join Tree with Uncertainty Awareness for Faster, More Precise and Robust Cardinality Estimation. 424-436 - Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Machine Learning Techniques for Data Reduction of Climate Applications. 437-448 - Chia-Hsuan Chang, Jui-Tse Tsai, Yi-Hang Tsai, San-Yih Hwang:
LITA: An Efficient LLM-Assisted Iterative Topic Augmentation Framework. 449-460 - Mohna Chakraborty, Adithya Kulkarni, Qi Li:
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios. 461-477 - Yuhao Li, Ling Luo, Uwe Aickelin:
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records. 478-489
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