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ORCID28th PAKDD 2024: Taipei, Taiwan - Part III
- De-Nian Yang
, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
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. Lecture Notes in Computer Science 14647, Springer 2024, ISBN 978-981-97-2261-7
Interpretability and Explainability
- Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda, Shinichi Shirakawa:
Neural Additive and Basis Models with Feature Selection and Interactions. 3-16 - Xinyue Yang, Hai Huang, Xingquan Zuo:
Random Mask Perturbation Based Explainable Method of Graph Neural Networks. 17-29 - Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano:
RouteExplainer: An Explanation Framework for Vehicle Routing Problem. 30-42 - Simon Klüttermann, Chiara Balestra, Emmanuel Müller:
On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. 43-55 - Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. 56-74 - Yasmine Mustafa, Tie Luo:
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. 75-90 - Gefei Shen, Dongfang Zhao:
Towards Nonparametric Topological Layers in Neural Networks. 91-102
Online, Streaming, Distributed Algorithms
- Zeyu Lin, Longkun Guo, Chaoqi Jia:
Streaming Fair k-Center Clustering over Massive Dataset with Performance Guarantee. 105-117 - Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song:
Projection-Free Bandit Convex Optimization over Strongly Convex Sets. 118-129 - Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Adaptive Prediction Interval for Data Stream Regression. 130-141 - Yanjie Zhong, Jiaqi Li, Soumendra Lahiri:
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-convex Finite Sum Problems. 142-154 - Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. 155-167 - Xi Li, Chen Wu, Jiaqi Wang:
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning. 168-181 - Duc Long Nguyen, Phi Le Nguyen, Truong Thao Nguyen:
Combating Quality Distortion in Federated Learning with Collaborative Data Selection. 182-193
Probabilistic Models and Statistical Inference
- Guhyuk Chung, Yongjae Lee, Woo Chang Kim:
Neural Marked Hawkes Process for Limit Order Book Modeling. 197-209 - Joaquim F. Silva, José C. Cunha:
How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams. 210-222 - Jinhao Chen, Chunhong Zhang, Zheng Hu:
Meta-Reinforcement Learning Algorithm Based on Reward and Dynamic Inference. 223-234
Security and Privacy
- Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang:
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. 237-249 - Yu-Hsin Liu, Yu-Chun Shen, Hsi-Wen Chen, Ming-Syan Chen:
Construct a Secure CNN Against Gradient Inversion Attack. 250-261 - He Cheng, Shuhan Yuan:
Backdoor Attack Against One-Class Sequential Anomaly Detection Models. 262-274
Semi-supervised and Unsupervised Learning
- Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen:
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. 277-289 - Chi-Min Chiu, Ying-Jia Lin, Hung-Yu Kao:
Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration. 290-301 - Yuki Wakai, Koh Takeuchi, Hisashi Kashima:
Recovering Population Dynamics from a Single Point Cloud Snapshot. 302-315 - Morteza Mohammady Gharasuie, Fengjiao Wang, Omar Sharif, Ravi Mukkamala:
SAWTab: Smoothed Adaptive Weighting for Tabular Data in Semi-supervised Learning. 316-328
Big Data
- Meihan Tong, Shuai Wang, Xinyu Chen, Jinsong Bei:
Improving Anti-money Laundering via Fourier-Based Contrastive Learning. 331-343 - Rong Pang, Hao Tan, Yan Yang, Xun Xu, Nanqing Liu, Peng Zhang:
A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection. 344-355 - Jiaqi Wu, Yidan Xu, Bowen Zhang, Zekun Xu, Bohan Li:
Graph-based Dynamic Preference Modeling for Personalized Recommendation. 356-368 - Aishan Maoliniyazi, Chaohong Ma, Xiaofeng Meng, Yingtao Peng:
LEAF: A Less Expert Annotation Framework with Active Learning. 369-384 - Tanya Boone-Sifuentes, Asef Nazari, Mohamed Reda Bouadjenek, Imran Razzak:
MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification. 385-396 - Shilong Shu, Liting Wang, Junhua Tian:
Improving Knowledge Tracing via Considering Students' Interaction Patterns. 397-408 - Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin:
MDAN: Multi-distribution Adaptive Networks for LTV Prediction. 409-420
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