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ORCID27th PAKDD 2023: Osaka, Japan - Part I
- Hisashi Kashima
, Tsuyoshi Idé, Wen-Chih Peng:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13935, Springer 2023, ISBN 978-3-031-33373-6
Anomaly and Outlier Detection
- Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker:
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. 3-14 - Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany:
Fast and Attributed Change Detection on Dynamic Graphs with Density of States. 15-26 - Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Outlying Aspect Mining via Sum-Product Networks. 27-38 - Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo:
TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. 39-54 - Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
Achieving Counterfactual Fairness for Anomaly Detection. 55-66 - Sarel Cohen, Philipp Fischbeck, Tobias Friedrich, Martin S. Krejca:
The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World Networks. 67-79 - Sibo Qi, Juan Chen, Peng Chen, Peian Wen, Wenyu Shan, Ling Xiong:
An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series. 80-91
Association Rules
- Lucile Dierckx, Rosana Veroneze, Siegfried Nijssen:
RL-Net: Interpretable Rule Learning with Neural Networks. 95-107
Classification
- Xiaosong Yuan, Renchu Guan, Wanli Zuo, Yijia Zhang:
The Causal Strength Bank: A New Benchmark for Causal Strength Classification. 111-122 - Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. 123-134 - Heng-Ru Zhang, Run-Ting Bai, Wen-Tao Tang:
Label Distribution Learning with Discriminative Instance Mapping. 135-146 - Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li:
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. 147-158 - Huangkai Zhang, Li Zhang:
Weak Correlation-Based Discriminative Dictionary Learning for Image Classification. 159-170 - Vinayaka Vivekananda Malgi, Sunil Aryal, Zafaryab Rasool, David Tay:
Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. 171-182 - Tae-Hyung Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. 183-194
Clustering
- Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li:
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. 197-209 - Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. 210-222 - Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong:
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. 223-235
Data Mining Processes and Pipelines
- Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch:
Continuously Predicting the Completion of a Time Intervals Related Pattern. 239-251 - Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann:
Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. 252-263 - Rage Uday Kiran, Abinash Maharana, Krishna Reddy Polepalli:
A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules. 264-275 - Raghav Mittal, Anirban Mondal, P. Krishna Reddy:
A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. 276-288
Deep Learning
- Xiulong Yang, Shihao Ji:
M-EBM: Towards Understanding the Manifolds of Energy-Based Models. 291-302 - Jiuling Zhang, Zhiming Ding:
Small Temperature is All You Need for Differentiable Architecture Search. 303-315 - Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua:
Document-Level Relation Extraction with Cross-sentence Reasoning Graph. 316-328 - Lei Guan:
Weight Prediction Boosts the Convergence of AdamW. 329-340 - Chi Zhang, Wenjie Ruan, Fu Wang, Peipei Xu, Geyong Min, Xiaowei Huang:
Model-Agnostic Reachability Analysis on Deep Neural Networks. 341-354 - Felip Guimerà Cuevas, Thomy Phan, Helmut Schmid:
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle. 355-366 - Chien-Liang Liu, Hung-Yu Kao:
CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection. 367-379 - Adnan Ahmad, Wei Luo, Antonio Robles-Kelly:
Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. 380-392 - Duoyi Zhang, Yue Wang, Md. Abul Bashar, Richi Nayak:
Enhanced Topic Modeling with Multi-modal Representation Learning. 393-404 - Jing Yang, Bin Ji, Shasha Li, Jun Ma, Long Peng, Jie Yu:
Dynamic Multi-View Fusion Mechanism for Chinese Relation Extraction. 405-417 - Guoliang Zhao, Jinglei Zhang, Dongdong Du, Qing Gao, Shujun Lin, Xiongfeng Xiao, Yupeng Wu:
Alignment-Aware Word Distance. 418-429 - Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long:
MISNN: Multiple Imputation via Semi-parametric Neural Networks. 430-442 - Charles Condevaux, Sébastien Harispe:
LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences. 443-454
Dimensionality Detection and Feature Selection
- Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang:
Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification. 457-468
Ethics and Fairness
- Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. 471-482 - Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar:
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data. 483-494 - Jonathan Vasquez, Xavier Gitiaux, Huzefa Rangwala:
Estimating the Risk of Individual Discrimination of Classifiers. 495-506 - Tai Le Quy, Gunnar Friege, Eirini Ntoutsi:
Multi-fair Capacitated Students-Topics Grouping Problem. 507-519 - Anubha Pandey, Aditi Rai, Maneet Singh, Deepak Bhatt, Tanmoy Bhowmik:
GroupMixNorm Layer for Learning Fair Models. 520-531 - Flavia Salutari, Jerome Ramos, Hossein A. Rahmani, Leonardo Linguaglossa, Aldo Lipani:
Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling. 532-543 - Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart:
Fairness for Robust Learning to Rank. 544-556
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