AutoOD: Automatic Outlier Detection
Summary: AutoOD merges multiple unsupervised outlier detectors with a learned, custom outlier classifier to produce labels without ground truth. It exploits cross-detector signals to outperform the best unsupervised detector and tuning-free baselines on diverse benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lei Cao
- 2. Yizhou Yan
- 3. Yu Wang
- 4. Samuel Madden
- 5. Elke A. Rundensteiner
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,029 | Outliers: The Good, the Bad and the Ugly | 2026 | SIGMOD | 4.1905499e-05 |
| 10,100 | AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction | 2026 | SIGMOD | 4.1905499e-05 |
| 10,377 | Agree to Disagree: Robust Anomaly Detection with Noisy Labels | 2025 | SIGMOD | 4.1905499e-05 |
| 10,488 | Data Enhancement for Binary Classification of Relational Data | 2025 | SIGMOD | 4.1905499e-05 |
| 10,745 | TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB | 4.1905499e-05 |
| 10,834 | EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB | 4.1905499e-05 |
| 11,097 | Time-Series Anomaly Detection: Overview and New Trends | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 159 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00040135453 |
| 252 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00030532082 |
| 697 | Efficient Algorithms for Mining Outliers from Large Data Sets | 2000 | SIGMOD | 0.00017964755 |
| 768 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00016864875 |
| 917 | Democratizing Data Science through Interactive Curation of ML Pipelines | 2019 | SIGMOD | 0.00015324193 |
| 1,393 | Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads | 2018 | VLDB | 0.00012223372 |
| 2,129 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.4799835e-05 |
| 2,826 | Finding Intensional Knowledge of Distance-Based Outliers | 1999 | VLDB | 8.0562807e-05 |
| 4,553 | A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System | 2022 | VLDB | 6.0852762e-05 |
| 7,580 | Human-in-the-loop Outlier Detection | 2020 | SIGMOD | 4.7023767e-05 |
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