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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

论文数26

被引数

期刊论文 26

发表时间

Enriching Category Representations with LLMs Towards Robust Zero-Shot OOD Detection 利用大型语言模型增强类别表示以实现稳健的零样本OOD检测

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Chao, Dian; Zhang, Yuxuan; Zhou, Luping; Yang, Yang

Fair and Privacy-Preserving Synthetic Data Generation via Clustering-Based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty 基于聚类变分自编码器和带有梯度惩罚的对抗性去偏wasserstein生成对抗网络的公平且隐私保护的合成数据生成

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Adouani, Malek; Dagdia, Zaineb Chelly

Bias vs Bias Dawn of Justice: A Fair Fight in Recommendation Systems 偏见与偏见黎明：推荐系统中的公平竞争

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Kheya, Tahsin Alamgir; Bouadjenek, Mohamed Reda; Aryal, Sunil

Analyzing and Correcting Biased Machine Learning-Based Tuning of Weight Shrinkage in Forecast Combination 分析和纠正基于机器学习的权重收缩在预测组合中的偏差调整

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Wachslander, Veronika

TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion TreeDiffusion: 条件扩散的层次生成聚类

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Goncalves, Jorge da Silva; Manduchi, Laura; Vandenhirtz, Moritz; Vogt, Julia E.

Improving Novel Anomaly Detection with Domain-Invariant Latent Representations 通过领域不变潜在表示改进新型异常检测

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Roy, Padmaksha; Jin, Ming; Singhal, Himanshu; Cody, Tyler; Choi, Kevin

InfoClus: Informative Clustering of High-Dimensional Data Embeddings InfoClus：高维数据嵌入的信息性聚类

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

OAAI

Lai, Fuyin; Heiter, Edith; Bied, Guillaume; Lijffijt, Jefrey

KANITE: Kolmogorov-Arnold Networks for ITE Estimation KANITE: 用于ITE估计的Kolmogorov-Arnold网络

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Mehendale, Eshan; Thorat, Abhinav; Kolla, Ravi; Pedanekar, Niranjan

RandomAD: A Random Kernel-Based Anomaly Detector for Time Series RandomAD：一种基于随机核的时间序列异常检测器

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Xi, Wenjie; Lin, Jessica

Unimodal Strategies in Density-Based Clustering 基于密度的聚类中的单模态策略

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Nir, Oron; Tenenbaum, Jay; Shamir, Ariel

Unsupervised Surrogate Anomaly Detection 无监督代理异常检测

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Kluettermanni, Simon; Katzke, Tim; Mueller, Emmanuel

Robust Gaussian Process Regression with Huber Likelihood and Projection Pursuit 基于Huber似然和投影寻踪的鲁棒高斯过程回归

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Algikar, Pooja; Mili, Lamine

Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework 重新定义公平性：多维视角与综合评估框架

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Wang, Zichong; Yin, Zhipeng; Liu, Zhen; Yap, Roland H. C.; Zhang, Xiaocai; Hu, Shu; Zhang, Wenbin

What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices 大型语言模型未讨论的内容：对内容审核和审查实践的实证研究

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

OAAI

Noels, Sander; Bied, Guillaume; Buyl, Maarten; Rogiers, Alexander; Fettach, Yousra; Lijffijt, Jefrey; De Bie, Tijl

Better Features, Better Calibration: A Simple Fix for Overconfident Networks 更好的特征，更好的校准：解决过度自信网络的简单方法

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Ghosal, Soumya Suvra; Hebbalaguppe, Ramya; Manocha, Dinesh

Optimizing and Tuning Fairness in Machine Learning: An Augmented Lagrangian Method with a Performance Budget 优化和调整机器学习中的公平性：一种带有性能预算的增广拉格朗日方法

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

OAAI

Fontana, Michele; Naretto, Francesca; Monreale, Anna

DispaRisk: Assessing Fairness Through Usable Information DispaRisk：通过可用信息评估公平性

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Vasquez, Jonathan; Domeniconi, Carlotta; Rangwala, Huzefa

GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model GLADMamba：基于选择性状态空间模型的无监督图级异常检测

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Fu, Yali; Li, Jindong; Wang, Qi; Xing, Qianli

SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation SODA：通过邻域传播进行领域漂移点云中的未知分布检测

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Goodge, Adam; Hooi, Bryan; Liao, Jingyi; Su, Yongyi; Ng, Wee Siong; Xu, Xun; Yang, Xulei

HAGAN: Homophily-Aware Generative Adversarial Network for Graph Anomaly Detection HAGAN：基于同质性感知生成对抗网络的图异常检测

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I

IF0

2026-01-01

PREAI

Wang, Wenkai; Gao, Fan; Wang, Meihong