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Anomaly Detection

162 directly classified papers

Papers per year

Papers

Outlier Impact Characterization for Time Series Data AAAI 2021
Complete Closed Time Intervals-Related Patterns Mining AAAI 2021
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field AAAI 2021
Testing Independence Between Linear Combinations for Causal Discovery AAAI 2021
An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract) AAAI 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion IJCAI 2020
Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020
Detecting Semantic Anomalies AAAI 2020
Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation AAAI 2020
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020
Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract) AAAI 2020
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection ACL 2020
Unsupervised Anomaly Detection in Parole Hearings using Language Models EMNLP 2020
Deep Energy-based Modeling of Discrete-Time Physics NIPS 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking NIPS 2020
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems IJCAI 2020
Multivariate Triangular Quantile Maps for Novelty Detection NIPS 2019
Outlier Detection and Robust PCA Using a Convex Measure of Innovation NIPS 2019
Temporal Anomaly Detection: Calibrating the Surprise AAAI 2019
Safe Partial Diagnosis from Normal Observations AAAI 2019
Multi-View Anomaly Detection: Neighborhood in Locality Matters AAAI 2019
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019