Saved in:
| Main Author: | Maus, Philip |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.11049 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Efficient Outlier Detection Algorithm for Data Streaming
by: Hu, Rui, et al.
Published: (2025)
by: Hu, Rui, et al.
Published: (2025)
Transfer Neyman-Pearson Algorithm for Outlier Detection
by: Kalan, Mohammadreza M., et al.
Published: (2025)
by: Kalan, Mohammadreza M., et al.
Published: (2025)
Efficient Generation of Hidden Outliers for Improved Outlier Detection
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
Leveraging the Christoffel Function for Outlier Detection in Data Streams
by: Ducharlet, Kévin, et al.
Published: (2025)
by: Ducharlet, Kévin, et al.
Published: (2025)
Kernel Outlier Detection
by: Dağıdır, Can Hakan, et al.
Published: (2025)
by: Dağıdır, Can Hakan, et al.
Published: (2025)
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
by: Ding, Xueying, et al.
Published: (2024)
by: Ding, Xueying, et al.
Published: (2024)
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
by: Liu, Kay, et al.
Published: (2023)
by: Liu, Kay, et al.
Published: (2023)
Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments
by: Maus, Tom, et al.
Published: (2025)
by: Maus, Tom, et al.
Published: (2025)
Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles
by: Ghosh, Kushankur, et al.
Published: (2024)
by: Ghosh, Kushankur, et al.
Published: (2024)
Deep Transductive Outlier Detection
by: Klüttermann, Simon, et al.
Published: (2024)
by: Klüttermann, Simon, et al.
Published: (2024)
RFOD: Random Forest-based Outlier Detection for Tabular Data
by: Ang, Yihao, et al.
Published: (2025)
by: Ang, Yihao, et al.
Published: (2025)
Robust Conformal Outlier Detection under Contaminated Reference Data
by: Bashari, Meshi, et al.
Published: (2025)
by: Bashari, Meshi, et al.
Published: (2025)
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data
by: Herurkar, Dayananda, et al.
Published: (2025)
by: Herurkar, Dayananda, et al.
Published: (2025)
Approximate Algorithms For $k$-Sparse Wasserstein Barycenter With Outliers
by: Yang, Qingyuan, et al.
Published: (2024)
by: Yang, Qingyuan, et al.
Published: (2024)
Outlier Detection with Cluster Catch Digraphs
by: Shi, Rui, et al.
Published: (2024)
by: Shi, Rui, et al.
Published: (2024)
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
by: Liu, Kay, et al.
Published: (2024)
by: Liu, Kay, et al.
Published: (2024)
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
by: Herurkar, Dayananda, et al.
Published: (2024)
by: Herurkar, Dayananda, et al.
Published: (2024)
Outlier Detection in Plantar Pressure: Human-Centered Comparison of Statistical Parametric Mapping and Explainable Machine Learning
by: Dindorf, Carlo, et al.
Published: (2025)
by: Dindorf, Carlo, et al.
Published: (2025)
Clustering Three-Way Data with Outliers
by: Clark, Katharine M., et al.
Published: (2023)
by: Clark, Katharine M., et al.
Published: (2023)
PyGOD: A Python Library for Graph Outlier Detection
by: Liu, Kay, et al.
Published: (2022)
by: Liu, Kay, et al.
Published: (2022)
Label-Informed Outlier Detection Based on Granule Density
by: Chen, Baiyang, et al.
Published: (2025)
by: Chen, Baiyang, et al.
Published: (2025)
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
by: Lei, Yutian, et al.
Published: (2024)
by: Lei, Yutian, et al.
Published: (2024)
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
by: Jiang, Wenyu, et al.
Published: (2023)
by: Jiang, Wenyu, et al.
Published: (2023)
funOCLUST: Clustering Functional Data with Outliers
by: Clark, Katharine M., et al.
Published: (2025)
by: Clark, Katharine M., et al.
Published: (2025)
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
by: Sun, Li, et al.
Published: (2026)
by: Sun, Li, et al.
Published: (2026)
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
by: Cribeiro-Ramallo, Jose, et al.
Published: (2025)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2025)
Randomized PCA Forest for Unsupervised Outlier Detection
by: Rajabinasab, Muhammad, et al.
Published: (2025)
by: Rajabinasab, Muhammad, et al.
Published: (2025)
Unsupervised Event Outlier Detection in Continuous Time
by: Nath, Somjit, et al.
Published: (2024)
by: Nath, Somjit, et al.
Published: (2024)
TODS: An Automated Time Series Outlier Detection System
by: Lai, Kwei-Herng, et al.
Published: (2020)
by: Lai, Kwei-Herng, et al.
Published: (2020)
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
by: Peng, Qian, et al.
Published: (2025)
by: Peng, Qian, et al.
Published: (2025)
Comparative Study of Neighbor-based Methods for Local Outlier Detection
by: Qi, Zhuang, et al.
Published: (2024)
by: Qi, Zhuang, et al.
Published: (2024)
Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics
by: Ok, Minjae, et al.
Published: (2024)
by: Ok, Minjae, et al.
Published: (2024)
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories
by: Zhang, Zheng, et al.
Published: (2024)
by: Zhang, Zheng, et al.
Published: (2024)
Synthetic Data Outliers: Navigating Identity Disclosure
by: Trindade, Carolina, et al.
Published: (2024)
by: Trindade, Carolina, et al.
Published: (2024)
Cellwise Outliers
by: Hubert, Mia, et al.
Published: (2026)
by: Hubert, Mia, et al.
Published: (2026)
Unsupervised Outlier Detection in Audit Analytics: A Case Study Using USA Spending Data
by: Li, Buhe, et al.
Published: (2025)
by: Li, Buhe, et al.
Published: (2025)
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
by: Singh, Prabhant, et al.
Published: (2022)
by: Singh, Prabhant, et al.
Published: (2022)
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)
by: Röchner, Philipp, et al.
Published: (2024)
by: Röchner, Philipp, et al.
Published: (2024)
MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection
by: Ding, Xueying, et al.
Published: (2026)
by: Ding, Xueying, et al.
Published: (2026)
Similar Items
-
An Efficient Outlier Detection Algorithm for Data Streaming
by: Hu, Rui, et al.
Published: (2025) -
Transfer Neyman-Pearson Algorithm for Outlier Detection
by: Kalan, Mohammadreza M., et al.
Published: (2025) -
Efficient Generation of Hidden Outliers for Improved Outlier Detection
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024) -
Leveraging the Christoffel Function for Outlier Detection in Data Streams
by: Ducharlet, Kévin, et al.
Published: (2025) -
Kernel Outlier Detection
by: Dağıdır, Can Hakan, et al.
Published: (2025)