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ORCIDSIGKDD Explorations, Volume 25
Volume 25, Number 1, June 2023
- Adaku Uchendu, Thai Le, Dongwon Lee
:
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. 1-18 - Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu:
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies. 19-35 - Erich Schubert:
Stop using the elbow criterion for k-means and how to choose the number of clusters instead. 36-42 - Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu:
Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. 43-53 - Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. 54-72 - Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi:
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. 73-82
Volume 25, Number 2, December 2023
- Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou:
Marginal Nodes Matter: Towards Structure Fairness in Graphs. 4-13 - Amrita Bhattacharjee, Huan Liu:
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? 14-21 - A. Thomasian:
Storage Systems: Organization, Performance, Coding, Reliability, and Their Data Processing, 1st Edition, October 13, 2021, Author: Alexander Thomasian. 22-24 - Mirko Bunse, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). 25-28 - Fiete Lüer, Christian Böhm:
Anomaly Detection using Generative Adversarial Networks Reviewing methodological progress and challenges. 29-41 - Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. 42-61
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