- Home
- Publications
- Publication Search
- Publication Details
Title
Anomaly Detection With Representative Neighbors
Authors
Keywords
-
Journal
IEEE Transactions on Neural Networks and Learning Systems
Volume 34, Issue 6, Pages 2831-2841
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-09-15
DOI
10.1109/tnnls.2021.3109898
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Anomaly Detection With Kernel Preserving Embedding
- (2021) Huawen Liu et al. ACM Transactions on Knowledge Discovery from Data
- Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery
- (2020) Rong Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Revisiting L 2,1-Norm Robustness With Vector Outlier Regularization
- (2020) Bo Jiang et al. IEEE Transactions on Neural Networks and Learning Systems
- Deep Subspace Clustering
- (2020) Xi Peng et al. IEEE Transactions on Neural Networks and Learning Systems
- Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder
- (2020) Longyuan Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators
- (2020) Mine Kerpicci et al. IEEE Transactions on Neural Networks and Learning Systems
- Unsupervised feature selection via latent representation learning and manifold regularization
- (2019) Chang Tang et al. NEURAL NETWORKS
- Anomaly Detection Algorithm Based on Subspace Local Density Estimation
- (2019) Chunkai Zhang et al. International Journal of Web Services Research
- A tourist walk approach for internal and external outlier detection
- (2019) Rafael D. Rodrigues et al. NEUROCOMPUTING
- VOS: A new outlier detection model using virtual graph
- (2019) Chao Wang et al. KNOWLEDGE-BASED SYSTEMS
- Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data
- (2019) Xinxing Wu et al. IEEE Transactions on Neural Networks and Learning Systems
- Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise
- (2019) Zongsheng Yue et al. IEEE Transactions on Neural Networks and Learning Systems
- Adaptive Hashing With Sparse Matrix Factorization
- (2019) Huawen Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- Supervised Dimensionality Reduction Methods via Recursive Regression
- (2019) Yun Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold
- (2019) Zhi Gao et al. IEEE Transactions on Neural Networks and Learning Systems
- Anomaly detection based on Nearest Neighbor search with Locality-Sensitive B-tree
- (2018) Maying Shen et al. NEUROCOMPUTING
- Parameter k search strategy in outlier detection
- (2018) Jin Ning et al. PATTERN RECOGNITION LETTERS
- Multi-View Low-Rank Analysis with Applications to Outlier Detection
- (2018) Sheng Li et al. ACM Transactions on Knowledge Discovery from Data
- An Efficient Representation-Based Method for Boundary Point and Outlier Detection
- (2018) Xiaojie Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Markov Boundary-Based Outlier Mining
- (2018) Kui Yu et al. IEEE Transactions on Neural Networks and Learning Systems
- Spectral Embedded Adaptive Neighbors Clustering
- (2018) Qi Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection
- (2018) Xuelong Li et al. IEEE Transactions on Neural Networks and Learning Systems
- A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
- (2018) Ke Ren et al. IEEE Transactions on Neural Networks and Learning Systems
- A novel outlier cluster detection algorithm without top-n parameter
- (2017) Jinlong Huang et al. KNOWLEDGE-BASED SYSTEMS
- A local density-based approach for outlier detection
- (2017) Bo Tang et al. NEUROCOMPUTING
- k -means clustering with outlier removal
- (2017) Guojun Gan et al. PATTERN RECOGNITION LETTERS
- Learning Instance Correlation Functions for Multilabel Classification
- (2017) Huawen Liu et al. IEEE Transactions on Cybernetics
- Efficient Outlier Detection for High-Dimensional Data
- (2017) Huawen Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A non-parameter outlier detection algorithm based on Natural Neighbor
- (2016) Jinlong Huang et al. KNOWLEDGE-BASED SYSTEMS
- Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection
- (2015) Milos Radovanovic et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Isolation-Based Anomaly Detection
- (2012) Fei Tony Liu et al. ACM Transactions on Knowledge Discovery from Data
- Rank-based outlier detection
- (2011) Huaming Huang et al. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
- OutRank: A GRAPH-BASED OUTLIER DETECTION FRAMEWORK USING RANDOM WALK
- (2008) H. D. K. MOONESINGHE et al. International Journal on Artificial Intelligence Tools
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started