PAKDD (1)

Keyphrases

Publications

2023

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Achieving Counterfactual Fairness for Anomaly Detection. PAKDD (1) (2023)
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. PAKDD (1) (2023)
Tae-Hyung Kim, Woo-Jeoung Nam, Seong-Whan Lee
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. PAKDD (1) (2023)
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. PAKDD (1) (2023)
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data. PAKDD (1) (2023)
Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Outlying Aspect Mining via Sum-Product Networks. PAKDD (1) (2023)
Charles Condevaux, Sébastien Harispe
LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences. PAKDD (1) (2023)
Jing Yang, Bin Ji, Shasha Li, Jun Ma, Long Peng, Jie Yu
Dynamic Multi-View Fusion Mechanism for Chinese Relation Extraction. PAKDD (1) (2023)
Lei Guan
Weight Prediction Boosts the Convergence of AdamW. PAKDD (1) (2023)
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. PAKDD (1) (2023)
Raghav Mittal, Anirban Mondal, P. Krishna Reddy
A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. PAKDD (1) (2023)
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. PAKDD (1) (2023)
Duoyi Zhang, Yue Wang, Md. Abul Bashar, Richi Nayak
Enhanced Topic Modeling with Multi-modal Representation Learning. PAKDD (1) (2023)
Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. PAKDD (1) (2023)
Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. PAKDD (1) (2023)
Felip Guimerà Cuevas, Thomy Phan, Helmut Schmid
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle. PAKDD (1) (2023)
Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo
TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. PAKDD (1) (2023)
Hongfei Liu, Zhao Kang, Lizong Zhang, Ling Tian, Fujun Hua
Document-Level Relation Extraction with Cross-sentence Reasoning Graph. PAKDD (1) (2023)
Shenyang Huang, Jacob Danovitch, Guillaume Rabusseau, Reihaneh Rabbany
Fast and Attributed Change Detection on Dynamic Graphs with Density of States. PAKDD (1) (2023)
Chi Zhang, Wenjie Ruan, Fu Wang, Peipei Xu, Geyong Min, Xiaowei Huang
Model-Agnostic Reachability Analysis on Deep Neural Networks. PAKDD (1) (2023)
Xiaosong Yuan, Renchu Guan, Wanli Zuo, Yijia Zhang
The Causal Strength Bank: A New Benchmark for Causal Strength Classification. PAKDD (1) (2023)
Jiuling Zhang, Zhiming Ding
Small Temperature is All You Need for Differentiable Architecture Search. PAKDD (1) (2023)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Multi-fair Capacitated Students-Topics Grouping Problem. PAKDD (1) (2023)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
Continuously Predicting the Completion of a Time Intervals Related Pattern. PAKDD (1) (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. PAKDD (1) (2023)
Guoliang Zhao, Jinglei Zhang, Dongdong Du, Qing Gao, Shujun Lin, Xiongfeng Xiao, Yupeng Wu
Alignment-Aware Word Distance. PAKDD (1) (2023)
Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) (2023)
Sarel Cohen, Philipp Fischbeck, Tobias Friedrich, Martin S. Krejca
The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World Networks. PAKDD (1) (2023)
Sibo Qi, Juan Chen, Peng Chen, Peian Wen, Wenyu Shan, Ling Xiong
An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series. PAKDD (1) (2023)
Heng-Ru Zhang, Run-Ting Bai, Wen-Tao Tang
Label Distribution Learning with Discriminative Instance Mapping. PAKDD (1) (2023)
Lucile Dierckx, Rosana Veroneze, Siegfried Nijssen
RL-Net: Interpretable Rule Learning with Neural Networks. PAKDD (1) (2023)
Jonathan Vasquez, Xavier Gitiaux, Huzefa Rangwala
Estimating the Risk of Individual Discrimination of Classifiers. PAKDD (1) (2023)
Vinayaka Vivekananda Malgi, Sunil Aryal, Zafaryab Rasool, David Tay
Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. PAKDD (1) (2023)
Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang
Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification. PAKDD (1) (2023)
Huangkai Zhang, Li Zhang
Weak Correlation-Based Discriminative Dictionary Learning for Image Classification. PAKDD (1) (2023)
Xiulong Yang, Shihao Ji
M-EBM: Towards Understanding the Manifolds of Energy-Based Models. PAKDD (1) (2023)
Chien-Liang Liu, Hung-Yu Kao
CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection. PAKDD (1) (2023)
Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long
MISNN: Multiple Imputation via Semi-parametric Neural Networks. PAKDD (1) (2023)
Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann
Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. PAKDD (1) (2023)
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. PAKDD (1) (2023)
Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart
Fairness for Robust Learning to Rank. PAKDD (1) (2023)
Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) (2023)
Anubha Pandey, Aditi Rai, Maneet Singh, Deepak Bhatt, Tanmoy Bhowmik
GroupMixNorm Layer for Learning Fair Models. PAKDD (1) (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)

2022

volume 13280, 2022

Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I PAKDD (1) 13280 (2022)