PAKDD (1)

Keyphrases

Publications

2024

Yihan Meng, Weitao Li, Lin Shang
SASBO: Sparse Attack via Stochastic Binary Optimization. PAKDD (1) (2024)
Yung-Peng Hsu, Hung-Hsuan Chen
Multivariate Beta Mixture Model: Probabilistic Clustering with Flexible Cluster Shapes. PAKDD (1) (2024)
Toshiyuki Oshima, Kentaro Takagi, Kouta Nakata
Clustering-Friendly Representation Learning for Enhancing Salient Features. PAKDD (1) (2024)
Junjie Zhang, Yuxin Ding
Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks. PAKDD (1) (2024)
Le Zhang, Raymond S. T. Lee
Chaotic Neural Oscillators with Deep Graph Neural Network for Node Classification. PAKDD (1) (2024)
Sangyup Lee, Simon S. Woo
Saliency-Aware Time Series Anomaly Detection for Space Applications. PAKDD (1) (2024)
Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering. PAKDD (1) (2024)
Charles Vernerey, Noureddine Aribi, Samir Loudni, Yahia Lebbah, Nassim Belmecheri
Learning to Rank Based on Choquet Integral: Application to Association Rules. PAKDD (1) (2024)
Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou
Modeling Treatment Effect with Cross-Domain Data. PAKDD (1) (2024)
Yu-Xiang Wu, Bi-Ru Dai
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection. PAKDD (1) (2024)
Xiang Ying, Shimei Luo, Mei Yu, Mankun Zhao, Jian Yu, Jiujiang Guo, Xuewei Li
Two-Stage Knowledge Graph Completion Based on Semantic Features and High-Order Structural Features. PAKDD (1) (2024)
Tien-Cuong Bui, Wen-Syan Li
Human-Driven Active Verification for Efficient and Trustworthy Graph Classification. PAKDD (1) (2024)
Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. PAKDD (1) (2024)
Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa
QWalkVec: Node Embedding by Quantum Walk. PAKDD (1) (2024)
Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki
SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. PAKDD (1) (2024)
Raghav Mittal, Anirban Mondal, P. Krishna Reddy, Mukesh K. Mohania
A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods. PAKDD (1) (2024)
Kaiyue Wang, Fan Yang, Yucheng Yao, Xiabing Zhou
LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection. PAKDD (1) (2024)
Yuye Feng, Wei Zhang, Haiming Sun, Weihao Jiang
Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection. PAKDD (1) (2024)
Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. PAKDD (1) (2024)
Kuei-Hsiang Huang, Cheng-Yu Sie, Jhong-En Lin, Che-Rung Lee
LPSD: Low-Rank Plus Sparse Decomposition for Highly Compressed CNN Models. PAKDD (1) (2024)
Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu
Local Subsequence-Based Distribution for Time Series Clustering. PAKDD (1) (2024)
Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos
NETEFFECT: Discovery and Exploitation of Generalized Network Effects. PAKDD (1) (2024)
Shanfeng Hu, Ying Huang
TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection. PAKDD (1) (2024)
Daniel Shrewsbury, Suneung Kim, Young-Eun Kim, Heejo Kong, Seong-Whan Lee
Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations. PAKDD (1) (2024)
Jérémy Foxcroft, Peter Christen, Luiza Antonie
Class Ratio and Its Implications for Reproducibility and Performance in Record Linkage. PAKDD (1) (2024)
Xiaocui Li, Yu Xiao, Xinyu Zhang, Qingyu Shi, Xiance Tang
ImMC-CSFL: Imbalanced Multi-view Clustering Algorithm Based on Common-Specific Feature Learning. PAKDD (1) (2024)
Phuong Nguyen, Tuan M. V. Le
SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection. PAKDD (1) (2024)
Hao Liu, Raymond Chi-Wing Wong
Adversarial Learning of Group and Individual Fair Representations. PAKDD (1) (2024)
Matteo Francia, Joseph Giovanelli, Matteo Golfarelli
AutoClues: Exploring Clustering Pipelines via AutoML and Diversification. PAKDD (1) (2024)

volume 14645, 2024

Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I PAKDD (1) 14645 (2024)

2023

volume 13935, 2023

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 PAKDD (1) 13935 (2023)