PAKDD (3)

Keyphrases

Publications

2024

Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) (2024)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Adaptive Prediction Interval for Data Stream Regression. PAKDD (3) (2024)
He Cheng, Shuhan Yuan
Backdoor Attack Against One-Class Sequential Anomaly Detection Models. PAKDD (3) (2024)
Chi-Min Chiu, Ying-Jia Lin, Hung-Yu Kao
Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration. PAKDD (3) (2024)
Rong Pang, Hao Tan, Yan Yang, Xun Xu, Nanqing Liu, Peng Zhang
A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection. PAKDD (3) (2024)
Xinyue Yang, Hai Huang, Xingquan Zuo
Random Mask Perturbation Based Explainable Method of Graph Neural Networks. PAKDD (3) (2024)
Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda, Shinichi Shirakawa
Neural Additive and Basis Models with Feature Selection and Interactions. PAKDD (3) (2024)
Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song
Projection-Free Bandit Convex Optimization over Strongly Convex Sets. PAKDD (3) (2024)
Simon Klüttermann, Chiara Balestra, Emmanuel Müller
On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. PAKDD (3) (2024)
Gefei Shen, Dongfang Zhao
Towards Nonparametric Topological Layers in Neural Networks. PAKDD (3) (2024)
Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. PAKDD (3) (2024)
Jinhao Chen, Chunhong Zhang, Zheng Hu
Meta-Reinforcement Learning Algorithm Based on Reward and Dynamic Inference. PAKDD (3) (2024)
Meihan Tong, Shuai Wang, Xinyu Chen, Jinsong Bei
Improving Anti-money Laundering via Fourier-Based Contrastive Learning. PAKDD (3) (2024)
Yanjie Zhong, Jiaqi Li, Soumendra Lahiri
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-convex Finite Sum Problems. PAKDD (3) (2024)
Guhyuk Chung, Yongjae Lee, Woo Chang Kim
Neural Marked Hawkes Process for Limit Order Book Modeling. PAKDD (3) (2024)
Yasmine Mustafa, Tie Luo
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. PAKDD (3) (2024)
Duc Long Nguyen, Phi Le Nguyen, Thao Nguyen Truong
Combating Quality Distortion in Federated Learning with Collaborative Data Selection. PAKDD (3) (2024)
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano
RouteExplainer: An Explanation Framework for Vehicle Routing Problem. PAKDD (3) (2024)
Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin
MDAN: Multi-distribution Adaptive Networks for LTV Prediction. PAKDD (3) (2024)
Yuki Wakai, Koh Takeuchi, Hisashi Kashima
Recovering Population Dynamics from a Single Point Cloud Snapshot. PAKDD (3) (2024)
Shilong Shu, Liting Wang, Junhua Tian
Improving Knowledge Tracing via Considering Students' Interaction Patterns. PAKDD (3) (2024)
Joaquim F. Silva, José C. Cunha
How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams. PAKDD (3) (2024)
Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. PAKDD (3) (2024)
Zeyu Lin, Longkun Guo, Chaoqi Jia
Streaming Fair k-Center Clustering over Massive Dataset with Performance Guarantee. PAKDD (3) (2024)
Aishan Maoliniyazi, Chaohong Ma, Xiaofeng Meng, Yingtao Peng
LEAF: A Less Expert Annotation Framework with Active Learning. PAKDD (3) (2024)
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) (2024)
Jiaqi Wu, Yidan Xu, Bowen Zhang, Zekun Xu, Bohan Li
Graph-based Dynamic Preference Modeling for Personalized Recommendation. PAKDD (3) (2024)
Morteza Mohammady Gharasuie, Fengjiao Wang, Omar Sharif, Ravi Mukkamala
SAWTab: Smoothed Adaptive Weighting for Tabular Data in Semi-supervised Learning. PAKDD (3) (2024)
Yu-Hsin Liu, Yu-Chun Shen, Hsi-Wen Chen, Ming-Syan Chen
Construct a Secure CNN Against Gradient Inversion Attack. PAKDD (3) (2024)
Xi Li, Chen Wu, Jiaqi Wang
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning. PAKDD (3) (2024)
Tanya Boone-Sifuentes, Asef Nazari, Mohamed Reda Bouadjenek, Imran Razzak
MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification. PAKDD (3) (2024)

volume 14647, 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 III PAKDD (3) 14647 (2024)

2023

volume 13937, 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 III PAKDD (3) 13937 (2023)