Cover Image

CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Darban, Zahra Zamanzadeh, Wang, Qizhou, Aggarwal, Charu C., Webb, Geoffrey I., Abbasnejad, Ehsan, Salehi, Mahsa
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning for Time Series Anomaly Detection: A Survey
by: Darban, Zahra Zamanzadeh, et al.
Published: (2022)

GenIAS: Generator for Instantiating Anomalies in time Series
by: Darban, Zahra Zamanzadeh, et al.
Published: (2025)

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
by: Darban, Zahra Zamanzadeh, et al.
Published: (2023)

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
by: Darban, Zahra Zamanzadeh, et al.
Published: (2024)

Open-Set Graph Anomaly Detection via Normal Structure Regularisation
by: Wang, Qizhou, et al.
Published: (2023)

A Simple State Space Model Excels at Multivariate Time Series Classification
by: Saadatmand, Hassan, et al.
Published: (2026)

Improving Position Encoding of Transformers for Multivariate Time Series Classification
by: Foumani, Navid Mohammadi, et al.
Published: (2023)

EEG-X: Device-Agnostic and Noise-Robust Foundation Model for EEG
by: Foumani, Navid Mohammadi, et al.
Published: (2025)

Deep Graph Anomaly Detection: A Survey and New Perspectives
by: Qiao, Hezhe, et al.
Published: (2024)

Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence
by: Salehi, Mahsa, et al.
Published: (2024)

BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
by: Vo, Viet Quoc, et al.
Published: (2024)

Decomposing Task Vectors for Refined Model Editing
by: Damirchi, Hamed, et al.
Published: (2025)

MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations
by: Ho, Gia-Bao Dinh, et al.
Published: (2024)

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
by: Foumani, Navid Mohammadi, et al.
Published: (2024)

Counterfactual Learning on Graphs: A Survey
by: Guo, Zhimeng, et al.
Published: (2023)

Heterogeneous Social Event Detection via Hyperbolic Graph Representations
by: Qiu, Zitai, et al.
Published: (2023)

Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction
by: Jiang, Wenkang, et al.
Published: (2026)

Beyond Imitation: Recovering Dense Rewards from Demonstrations
by: Li, Jiangnan, et al.
Published: (2025)

Do Deep Neural Network Solutions Form a Star Domain?
by: Sonthalia, Ankit, et al.
Published: (2024)

Precedence-Constrained Winter Value for Effective Graph Data Valuation
by: Chi, Hongliang, et al.
Published: (2024)

Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
by: Teney, Damien, et al.
Published: (2025)

MONSTER: Monash Scalable Time Series Evaluation Repository
by: Dempster, Angus, et al.
Published: (2025)

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
by: Grover, Karish, et al.
Published: (2025)

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
by: Dutta, Sharmishtha, et al.
Published: (2024)

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance
by: Shamsi, Afshar, et al.
Published: (2024)

The Quest for Winning Tickets in Low-Rank Adapters
by: Damirchi, Hamed, et al.
Published: (2025)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
by: Jin, Ming, et al.
Published: (2023)

Neural Redshift: Random Networks are not Random Functions
by: Teney, Damien, et al.
Published: (2024)

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
by: Lin, Yifei, et al.
Published: (2024)

Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
by: McDonnell, Mark D., et al.
Published: (2024)

Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing
by: Cooper, Connor, et al.
Published: (2025)

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
by: Dempster, Angus, et al.
Published: (2024)

SoK: Machine Unlearning for Large Language Models
by: Ren, Jie, et al.
Published: (2025)

Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection
by: Zhang, Ruyi, et al.
Published: (2024)

Real-Time Adaptive Anomaly Detection in Industrial IoT Environments
by: Raeiszadeh, Mahsa, et al.
Published: (2026)

Interpretable Representation Learning for Additive Rule Ensembles
by: Behzadimanesh, Shahrzad, et al.
Published: (2025)

RanPAC: Random Projections and Pre-trained Models for Continual Learning
by: McDonnell, Mark D., et al.
Published: (2023)

Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
by: Ying, Wangyang, et al.
Published: (2024)

Deep Learning for Satellite Image Time Series Analysis: A Review
by: Miller, Lynn, et al.
Published: (2024)

Towards the Next-generation Bayesian Network Classifiers
by: Zhang, Huan, et al.
Published: (2025)