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会议文集


文集名Advances in Knowledge Discovery and Data Mining
会议名27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023)
中译名《第二十七届亚太地区知识发现与数据挖掘会议，卷1》
会议日期May 25-28, 2023
会议地点Osaka, Japan
出版年2023
馆藏号349230


题名作者出版年
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and DecidabilityXinglong Chang; Katharina Dost; Kaiqi Zhao; Ambra Demontis; Fabio Roli; Gillian Dobbie; Jorg Wicker2023
Fast and Attributed Change Detection on Dynamic Graphs with Density of StatesShenyang Huang; Jacob Danovitch; Guillaume Rabusseau; Reihaneh Rabbany2023
Outlying Aspect Mining via Sum-Product NetworksStefan Ludtke; Christian Bartelt; Heiner Stuckenschmidt2023
TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial NetworksShyam Sundar Saravanan; Tie Luo; Mao Van Ngo2023
Achieving Counterfactual Fairness for Anomaly DetectionXiao Han; Lu Zhang; Yongkai Wu; Shuhan Yuan2023
The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World NetworksSarel Cohen; Philipp Fischbeck; Tobias Friedrich; Martin Krejca2023
An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time SeriesSibo Qi; Juan Chen; Peng Chen; Peian Wen; Wenyu Shan; Ling Xiong2023
RL-Net: Interpretable Rule Learning with Neural NetworksLucile Dierckx; Rosana Veroneze; Siegfried Nijssen2023
The Causal Strength Bank: A New Benchmark for Causal Strength ClassificationXiaosong Yuan; Renchu Guan; Wanli Zuo; Yijia Zhang2023
Topological Graph Convolutional Networks Solutions for Power Distribution Grid PlanningYuzhou Chen; Miguel Heleno; Alexandre Moreira; Yulia R. Gel2023
Label Distribution Learning with Discriminative Instance MappingHeng-Ru Zhang; Run-Ting Bai; Wen-Tao Tang2023
Leveraging Generative Models for Combating Adversarial Attacks on Tabular DatasetsJiahui Zhou; Nayyar Zaidi; Yishuo Zhang; Paul Montague; Junae Kim; Gang Li2023
Weak Correlation-Based Discriminative Dictionary Learning for Image ClassificationHuang-Kai Zhang; Li Zhang2023
Data-dependent and Scale-Invariant Kernel for Support Vector Machine ClassificationVinayaka Vivekananda Malgi; Sunil Aryal; Zafaryab Rasool; David Tay2023
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot ClassificationTae-Hyung Kim; Woo-Jeoung Nam; Seong-Whan Lee2023
An Improved Visual Assessment with Data-Dependent Kernel for Stream ClusteringBaojie Zhang; Yang Cao; Ye Zhu; Sutharshan Rajasegarar; Gang Liu; Hong Xian Li; Maia Angelova; Gang Li2023
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation CriterionAlex Mourer; Florent Forest; Mustapha Lebbah; Hanane Azzag; Jerome Lacaille2023
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned ClusteringXianchao Zhang; Mengyan Chen; Jie Mu; Linlin Zong2023
Continuously Predicting the Completion of a Time Intervals Related PatternNevo Itzhak; Szymon Jaroszewicz; Robert Moskovitch2023
Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic FeaturesArnold Hien; Samir Loudni; Noureddine Aribi; Abdelkader Ouali; Albrecht Zimmermann2023
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