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← Core Methods
Machine Learning
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Core Methods
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Anomaly Detection
162 directly classified papers
Papers per year
2006: 2
2007: 2
2008: 1
2009: 3
2010: 2
2011: 1
2012: 2
2013: 4
2014: 3
2016: 3
2017: 2
2018: 6
2019: 12
2020: 15
2021: 17
2022: 16
2023: 17
2024: 24
2025: 29
2026: 1
Papers
Multi-criteria Anomaly Detection using Pareto Depth Analysis
NIPS 2012
Group Anomaly Detection using Flexible Genre Models
NIPS 2011
Subgraph Detection Using Eigenvector L1 Norms
NIPS 2010
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch
NIPS 2010
White Functionals for Anomaly Detection in Dynamical Systems
NIPS 2009
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
NIPS 2009
Tracking Dynamic Sources of Malicious Activity at Internet Scale
NIPS 2009
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
NIPS 2008
Nearest-Neighbor-Based Active Learning for Rare Category Detection
NIPS 2007
Measuring Neural Synchrony by Message Passing
NIPS 2007
In-Network PCA and Anomaly Detection
NIPS 2006
Geometric entropy minimization (GEM) for anomaly detection and localization
NIPS 2006
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