This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2025 | VLDB J '25 | VUS effective and efficient accuracy measures for time-series anomaly detection | None |
| 2025 | Arxiv '25 | Open Challenges in Time Series Anomaly Detection An Industry Perspective | None |
| 2025 | Scientific Data '25 | CESNET-TimeSeries24 Time Series Dataset for Network Traffic Anomaly Detection and Forecasting | None |
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2024 | KDD '24 | SensitiveHUE Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns | SensitiveHUE |
| 2024 | KDD '24 | PATE: Proximity-Aware Time Series Anomaly Evaluation | PATE |
| 2024 | KDD '24 | CutAddPaste Time Series Anomaly Detection by Exploiting Abnormal Knowledge | CutAddPaste |
| 2024 | KDD '24 | PeFAD A Parameter-Efficient Federated Framework for Time Series Anomaly Detection | None |
| 2024 | KDD '24 | Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer | KAD-Disformer |
| 2024 | KDD '24 | EntropyStop Unsupervised Deep Outlier Detection with Loss Entropy | EntropyStop-KDD2024 |
| 2024 | KDD '24 | Cluster-Wide Task Slowdown Detection in Cloud System | SORN |
| 2024 | WWW '24 | Revisiting VAE for Unsupervised Time Series Anomaly Detection A Frequency Perspective | FCVAE |
| 2024 | WWW '24 | Air-CAD Edge-Assisted Multi-Drone Network for Real-time Crowd Anomaly Detection | None |
| 2024 | WWW '24 | LARA A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection | None |
| 2024 | WWW '24 | Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection | DualTF |
| 2024 | WWW '24 | Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems | AnoTuner |
| 2024 | WWW '24 | Weakly Supervised Anomaly Detection via Knowledge-Data Alignment | KDAlign |
| 2024 | VLDB '24 | An Experimental Evaluation of Anomaly Detection in Time Series | experiment-tsad |
| 2024 | VLDB '24 | ADF & TransApp A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series | TransApp |
| 2024 | VLDB '24 | A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | MSD-Mixer |
| 2024 | VLDB '24 | AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data | autotsad |
| 2024 | VLDB '24 | METER A Dynamic Concept Adaptation Framework for Online Anomaly Detection | METER |
| 2024 | VLDB '24 | ImDiffusion Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | IMDiffusion |
| 2024 | ICDE '24 | Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection | None |
| 2024 | ICDE '24 | Unraveling the 'Anomaly' in Time Series Anomaly Detection A Self-supervised Tri-domain Solution | TriAD |
| 2024 | ICDE '24 | From Chaos to Clarity Time Series Anomaly Detection in Astronomical Observations | AERO |
| 2024 | ICDE '24 | Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection | TFMAE |
| 2024 | ICDE '24 | EADS An Early Anomaly Detection System for Sensor-based Multivariate Time Series | None |
| 2024 | ICDE '24 | Matrix Profile for Anomaly Detection on Multidimensional Time Series | None |
| 2024 | ICDE '24 | Interdependency Matters Graph Alignment for Multivariate Time Series Anomaly Detection | None |
| 2024 | Neurips '24 | Drift doesn't Matter Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection | D3R |
| 2024 | Neurips '24 | The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark | None |
| 2024 | ICLR '24 UnderReview | BENCHMARKING MULTIVARIATE TIME SERIES ANOMALY DETECTION WITH LARGE-SCALE REAL WORLD DATASETS | None |
| 2024 | IJCAI '24 | Sub-Adjacent Transformer Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods | sub_adjacent_transformer |
| 2024 | AAAI '24 | When Model Meets New Normals Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection | None |
| 2024 | EAAI '24 | Toward interpretable anomaly detection for autonomous vehicles with denoising variational transformer | None |
| 2024 | ICASSP '24 | Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection | TADNet |
| 2024 | ICPADS '24 | Learning Triple-View Representation Discrepancy for Multivariate Time Series Anomaly Detection with Multi-Scale Patching | None |
| 2024 | IEEE TKDE '24 | Deep Isolation Forest for Anomaly Detection | DeepOD |
| 2024 | IEEE TKDE '24 | Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection | couta |
| 2024 | IEEE TKDE '24 | Hierarchical Context Representation and Self-adaptive Thresholding for Multivariate Anomaly Detection | None |
| 2024 | IEEE TKDE '24 | A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems | None |
| 2024 | IEEE TKDE '24 | Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection | None |
| 2024 | IEEE TKDE '24 | Contrastive Time-series Anomaly Detection | None |
| 2024 | ACM Trans. Softw. Eng. Methodol. '24 | Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Software Systems | Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Software Systems.zip |
| 2024 | IEEE TNNLS '24 | PAFormer: Anomaly Detection of Time Series With Parallel-Attention Transformer | None |
| 2024 | IEEE TNNLS '24 | Fuzzy State-Driven Cross-Time Spatial Dependence Learning for Multivariate Time-Series Anomaly Detection | None |
| 2024 | IEEE TNNLS '24 | Adaptive Memory Broad Learning System for Unsupervised Time Series Anomaly Detection | None |
| 2024 | IEEE TIM '24 | Asymptotic Consistent Graph Structure Learning for Multivariate Time-Series Anomaly Detection | ACGSL-for-MTS |
| 2024 | IEEE TIM '24 | Triple Attention An Integrated Approach for Interpretable Anomaly Detection in Temporal and Association Dimensions | None |
| 2024 | IEEE TIM '24 | Conditional-TimeGAN for Realistic and High-Quality Appliance Trajectories Generation and Data Augmentation in Nonintrusive Load Monitoring | None |
| 2024 | IEEE TIM '24 | Noise-Reduced Anomaly Attention Transformer for Intelligent Microscale Defects Detection in Metal Materials | None |
| 2024 | IEEE TITS '24 | Learning from the Dark Side A Parallel Time Series Modelling Framework for Forecasting and Fault Detection on Intelligent Vehicles | None |
| 2024 | IEEE TII '24 | TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT | None |
| 2024 | IEEE TII '24 | A Robust Anomaly Detection Model for Pumps Based on the Spectral Residual With Self Attention Variational Autoencoder | None |
| 2024 | IEEE TII '24 | Can Untrained Neural Networks Detect Anomalies | None |
| 2024 | IEEE TII '24 | STAGED A Spatial-Temporal Aware Graph Encoder-Decoder for Fault Diagnosis in Industrial Processes | None |
| 2024 | IEEE T CONSUM ELECTR '24 | Satellite Early Anomaly Detection Using an Advanced Transformer Architecture for Non-Stationary Telemetry Data | None |
| 2024 | IEEE TNSM '24 | Detecting Cloud Anomaly via Broad Network-based Contrastive Autoencoder | None |
| 2024 | IEEE Trans. Consum. Electron. '24 | Graph Structure Learning-based Multivariate Time Series Anomaly Detection in Internet of Things for Human-Centric Consumer Applications | None |
| 2024 | IEEE Trans. Consum. Electron. '24 | DroneSSL Self-Supervised Multimodal Anomaly Detection in Internet of Drone Things | None |
| 2024 | IEEE Trans. Emerg. Topics Comput. '24 | Coupled Attention Networks for Multivariate Time Series Anomaly Detection | None |
| 2024 | IEEE T. Sust. Comput. '24 | Addressing Concept Drift in IoT Anomaly Detection Drift Detection, Interpretation, and Adaptation | None |
| 2024 | IEEE IoT J '24 | Multi-view Graph Contrastive Learning for Multivariate Time Series Anomaly Detection in IoT | None |
| 2024 | IEEE IoT J '24 | DyEdgeGAT Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems | dyedgegat |
| 2024 | IEEE IoT J '24 | MPFormer Multi-Patch Transformer for Multivariate Time Series Anomaly Detection with Contrastive Learning | None |
| 2024 | IEEE IoT J '24 | Two-phase Dual-adversarial Agents with Multivariate Information for Unsupervised Anomaly Detection of IIoT-edge Devices | None |
| 2024 | IEEE Sens J '24 | S-KDGAN Series-Knowledge Distillation With GANs for Anomaly Detection of Sensor Time-Series Data in Smart IoT | None |
| 2024 | IEEE Sens J '24 | Multivariate Time Series Anomaly Detection via Low-Rank and Sparse Decomposition | None |
| 2024 | IEEE Sens J '24 | MTAD Multiobjective Transformer Network for Unsupervised Multisensor Anomaly Detection | None |
| 2024 | IEEE Sens J '24 | Graph-Based Time-Series Decomposition for Multisource Sensors Anomaly Detection | None |
| 2024 | IEEE Sens J '24 | Industrial Anomaly Detection Based on Factorized Temporal-Channel Fusion | None |
| 2024 | IEEE Sens J '24 | An Unsupervised Long- and Short-Term Sparse Graph Neural Network for Multisensor Anomaly Detection | None |
| 2024 | IEEE Sens J '24 | MAD-MEL Combining Entity and Metric Learning for Anomaly Detection in Multivariate Time Series | None |
| 2024 | IEEE Sens J '24 | Heterogeneous Sensor Fault Detection for Networked Systems Based on a Graph Transformer | None |
| 2024 | IEEE Sens J '24 | Anomaly Detection for Telemetry Time Series Using a Denoising Diffusion ProbabilisticModel | None |
| 2024 | IEEE TASE '24 | Detection of Rotating Stall Inception of Axial Compressors Based on Deep Dilated Causal Convolutional Neural Networks | None |
| 2024 | IEEE Sensors J '24 | GAAD GAN-enabled Autoencoder for Real-Time Sensor Anomaly Detection and Recovery in Autonomous Driving | None |
| 2024 | ACM TIST '24 | GNN-based Advanced Feature Integration for ICS Anomaly Detection | None |
| 2024 | Information Sciences '24 | Refining one-class representation A unified transformer for unsupervised time-series anomaly detection | AMFormer |
| 2024 | Information Sciences '24 | A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies | None |
| 2024 | Information Sciences '24 | Rectifying inaccurate unsupervised learning for robust time series anomaly detection | None |
| 2024 | Information Fusion '24 | Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values | GST-Pro (comming soon) |
| 2024 | IP & M '24 | Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks | None |
| 2024 | KBS '24 | SIET: Spatial information enhanced transformer for multivariate time series anomaly detection | None |
| 2024 | KBS '24 | An enhanced spatio-temporal constraints network for anomaly detection in multivariate time series | None |
| 2024 | KBS '24 | AFMF Time series anomaly detection framework with modified forecasting | AFMF |
| 2024 | ESWA '24 | Adaptable and Interpretable Framework for Anomaly Detection in SCADA-based industrial systems | None |
| 2024 | ESWA '24 | An unsupervised spatiotemporal fusion network augmented with random mask and time-relative information modulation for anomaly detection of machines with multiple measuring points | None |
| 2024 | ESWA '24 | An adversarial contrastive autoencoder for robust multivariate time series anomaly detection | None |
| 2024 | Computers & Security '24 | STFT-TCAN A TCN-attention based multivariate time series anomaly detection architecture with time-frequency analysis for cyber-industrial systems | None |
| 2024 | Applied Soft Computing '24 | Early neurological deterioration detection with a transformer convolutional auto-encoder model | None |
| 2024 | Applied Energy '24 | Sensing anomaly of photovoltaic systems with sequential conditionalvariational autoencoder | PV-system-anomaly-detection |
| 2024 | ISA Transactions '24 | Conditional normalizing flow for multivariate time series anomaly detection | None |
| 2024 | Neural Processing Letters '24 | Concept Drift Adaptation for Time Series Anomaly Detection via Transformer | None |
| 2024 | Nerual Networks '24 | A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection | NormFAAE |
| 2024 | Nerual Networks '24 | GRAND GAN-based software runtime anomaly detection method using trace information | GRAND , dataset |
| 2024 | Nerual Networks '24 | SVD-AE An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection | None |
| 2024 | Complex & Intelligent Systems '24 | An enhanced abnormal information expression spatiotemporal model for anomaly detection in multivariate time-series | None |
| 2024 | Arxiv'24 | Tensor time-series forecasting and anomaly detection with augmented causality | None |
| 2024 | Arxiv '24 | TimeSeriesBench An Industrial-Grade Benchmark for Time Series Anomaly Detection Models | EasyTSAD |
| 2024 | Arxiv '24 | QUADFormer Learning-based Detection of Cyber Attacks in Quadrotor UAVs | None |
| 2024 | Arxiv '24 | Entropy Causal Graphs for Multivariate Time Series Anomaly Detection | CGAD |
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2023 | AAAI | Detecting Multivariate Time Series Anomalies with Zero Known Label | MTGFLOW |
| 2023 | ACM Hum.-Comput. Interact | MTV Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series | None |
| 2023 | ACM SC | Prodigy Towards Unsupervised Anomaly Detection in Production HPC Systems | Proctor |
| 2023 | ACM TKDD | STAD-GAN Unsupervised Anomaly Detection on Multivariate Time Series with Self-training Generative Adversarial Networks | None |
| 2023 | ACM TIST | GNN-based Advanced Feature Integration for ICS Anomaly Detection | None |
| 2023 | ArXiv | A Survey of Time Series Anomaly Detection Methods in the AIOps Domain (貌似是裴丹投给ACM Computing Survey的, 最新的综述类文章) | None |
| 2023 | ArXiv | Algorithmic Recourse for Anomaly Detection in Multivariate Time Series | RecAD |
| 2023 | ArXiv | BSSAD Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series | None |
| 2023 | ArXiv | CARLA Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection | None |
| 2023 | ArXiv | DTAAD Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data | DTAAD |
| 2023 | ArXiv | EdgeConvFormer Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series | None |
| 2023 | ArXiv | Evaluation Strategy of Time-series Anomaly Detection with Decay function | None |
| 2023 | ArXiv | LARA A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection | None |
| 2023 | ArXiv | Performance Issue Identification in Cloud System with Relational-Temporal Anomaly Detection | ISOLATE |
| 2023 | ArXiv | Time Series Anomaly Detection using Diffusion-based Models | DiffusionAE |
| 2023 | ArXiv | TRANSFORMERS IN TIME-SERIES ANALYSIS A TUTORIAL | None |
| 2023 | ArXiv | Unsupervised Anomaly Detection in Time-series An Extensive Evaluation and Analysis of State-of-the-art Methods | None |
| 2023 | ASE (CCF A) | Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System | MSTGAD |
| 2023 | AutoML | Meta-Learning for Fast Model Recommendation in Unsupervised Multivariate Time Series Anomaly Detection | Meta-Learning_for_Fast_Model_Recommendation |
| 2023 | CIKM | DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series | DuoGAT |
| 2023 | CIKM | MadSGM: Multivariate Anomaly Detection with Score-based Generative Models | None |
| 2023 | CVPR WorkShop | Spacecraft Time-Series Anomaly Detection Using Transfer Learning | None |
| 2023 | DMKD | DAMP accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams | discord-aware-matrix-profile |
| 2023 | DMKD | MERLIN++ parameter-free discovery of time series anomalies | MERLIN |
| 2023 | DMKD | Navigating the metric maze a taxonomy of evaluation metrics for anomaly detection in time series | TSAD_eval |
| 2023 | EAAI | CLformer Constraint-based Locality enhanced Transformer for anomaly detection of ancient building structures | None |
| 2023 | EDBT | New Trends in Time-Series Anomaly Detection (& New Trends in Time Series Anomaly Detection slides) | None |
| 2023 | ECML-PKDD | Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses | Time-CAD |
| 2023 | ESEC/FSE | Beyond Sharing Conflict-Aware Multivariate Time Series Anomaly Detection | MTS_CAD |
| 2023 | ICASSP | DEEP AUTOENCODING ONE-CLASS TIME SERIES ANOMALY DETECTION | AOC |
| 2023 | ICASSP | REAL-TIME SYNCHRONIZATION IN NEURAL NETWORKS FOR MULTIVARIATE TIME SERIES ANOMALY DETECTION | None |
| 2023 | ICASSP | STGAT-MAD SPATIAL-TEMPORAL GRAPH ATTENTION NETWORK FOR MULTIVARIATE TIME SERIES ANOMALY DETECTION | STGAT |
| 2023 | ICASSP | ZERO-SHOT DOMAIN ADAPTATION OF ANOMALOUS SAMPLES FOR SEMI-SUPERVISED ANOMALY DETECTION | None |
| 2023 | ICDE | A Stitch in Time Saves Nine: Enabling Early Anomaly Detection with Correlation Analysis | CAD |
| 2023 | ICME | A MASKED ATTENTION NETWORK WITH QUERY SPARSITY MEASUREMENT FOR TIME SERIES ANOMALY DETECTION | MAN-QSM |
| 2023 | ICML | Making the End-User a Priority in Benchmarking OrionBench for Unsupervised Time Series Anomaly Detection | None |
| 2023 | ICML | Prototype-oriented unsupervised anomaly detection for multivariate time series | PUAD |
| 2023 | ICLR | UNSUPERVISED MODEL SELECTION FOR TIME-SERIES ANOMALY DETECTION | tsad-model-selection |
| 2023 | ICLR (Under Review) | VARIATIONAL ADAPTIVE GRAPH TRANSFORMER FOR MULTIVARIATE TIME SERIES MODELING | None |
| 2023 | ICSE | Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention | Hades/ |
| 2023 | ICWS | Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services | OmniTransfer/ |
| 2023 | KDD | DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | DCdetector |
| 2023 | KDD | ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection | ECGGAN |
| 2023 | KDD | Imputation-based Time-Series Anomaly Detection with ConditionalWeight-Incremental Diffusion Models | DiffAD |
| 2023 | KDD | Precursor-of-Anomaly Detection for Irregular Time Series | PAD |
| 2023 | KDD | Sparse Binary Transformers for Multivariate Time Series Modeling | None |
| 2023 | Neroupis | Drift doesn't Matter Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection | None |
| 2023 | NeurIPS (NIPS) | Nominality Score Conditioned Time Series Anomaly Detection by PointSequential Reconstruction | NPSR |
| 2023 | TPCTC | Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology | MVTSEvalPaper |
| 2023 | ΤΡΑΜΙ | Adversarial Data Augmentation for HMM-based Anomaly Detection | adv_data_aug_hmm |
| 2023 | Transactions on Machine Learning Research | TimeSeAD: Benchmarking Deep Multivariate Time-Series Anomaly Detection | TimeSeAD |
| 2023 | VLDB | Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series | MSAD |
| 2023 | VLDB | Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles | CAE-Ensemble |
| 2023 | WSDM | Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation | DAEMON |
| 2023 | IEEE J. Sel. Areas Commun | Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed Systems | None |
| 2023 | IEEE Open Journal of Signal Processing | A Tiny Transformer-Based Anomaly Detection Framework for IoT Solutions | None |
| 2023 | IEEE T CONSUM ELECTR | Satellite Early Anomaly Detection Using an Advanced Transformer Architecture for Non-Stationary Telemetry Data | None |
| 2023 | IEEE TAES | An Anomaly Detection Method for Satellites Using Monte Carlo Dropout | SatAnomalyDetection |
| 2023 | IEEE TII | A Multi-head Attention Self-supervised Representation Model for Industrial Sensors Anomaly Detection | None |
| 2023 | IEEE TII | A Novel Anomaly Detection Method for Digital Twin Data Using Deconvolution Operation With Attention Mechanism | None |
| 2023 | IEEE TII | A Novel Echo State Network Autoencoder for Anomaly Detection in Industrial IoT Systems | None |
| 2023 | IEEE TII | Integrated Generative Model for Industrial Anomaly Detection via Bidirectional LSTM and Attention Mechanism | None |
| 2023 | IEEE TII | Learning Hierarchical Spatial-Temporal Graph Representations for Robust Multivariate Industrial Anomaly Detection | None |
| 2023 | IEEE TII | TMANomaly Time-Series Mutual Adversarial Networks for Industrial Anomaly Detection | None |
| 2023 | IEEE TII | TinyAD Memory-efficient anomaly detection for time series data in Industrial IoT | None |
| 2023 | IEEE TIM | Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance | None |
| 2023 | IEEE TIM | CrossFuN Multiview Joint Cross-Fusion Network for Time-Series Anomaly Detection | None |
| 2023 | IEEE TIM | Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning | None |
| 2023 | IEEE TIM | KalmanAE Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection | None |
| 2023 | IEEE TIM | Learning Spatial Graph Structure for Multivariate KPI Anomaly Detection in Large-Scale Cyber-Physical Systems | None |
| 2023 | IEEE TIM | Multiscale Wavelet Graph AutoEncoder for Multivariate Time-Series Anomaly Detection | None |
| 2023 | IEEE TIM | Self-Supervised Variational Graph Autoencoder for System-Level Anomaly Detection | None |
| 2023 | IEEE TIM | Subsequence Time Series Clustering-Based Detection of Axial Piston Pumps (Matrix Profile, MDL, 这个套路发TIM, 很可以) | None |
| 2023 | IEEE TITS | Multisensor Anomaly Detection and Interpretable Analysis for Linear Induction Motors | None |
| 2023 | IEEE TITS | Traffic Anomaly Detection Exploiting Temporal Positioning of Flow-Density Samples | labeled_traffic_data |
| 2023 | IEEE TNSM | ML Models for Detecting QoE Degradation in Low-Latency Applications A Cloud-Gaming Case Study | None |
| 2023 | IEEE TNSM | One Model to Find Them All Deep Learning for Multivariate Time-Series Anomaly Detection in Mobile Network Data | None |
| 2023 | IEEE Trans. Emerg. Topics Comput. | Coupled Attention Networks for Multivariate Time Series Anomaly Detection | None |
| 2023 | TKDE | Deep Isolation Forest for Anomaly Detection | deep-iforest, DeepOD |
| 2023 | TKDE | GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set | FGANomaly |
| 2023 | TKDE | Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series | None |
| 2023 | TKDE | Time Series Anomaly Detection With Adversarial Reconstruction Networks | BeatGAN.ipynb, BeatGAN |
| 2023 | TNNLS | PAFormer: Anomaly Detection of Time Series With Parallel-Attention Transformer | None |
| 2023 | TNNLS | Unsupervised Multimodal Anomaly Detection With Missing Sources for Liquid Rocket Engine | None |
| 2023 | IEEE ICC | Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks | ICC2023 |
| 2023 | IEEE ISSRE | AutoKAD Empowering KPI Anomaly Detection with Label-Free Deployment | None |
| 2023 | IEEE ISSRE | fKPISelect Fault-Injection Based Automated KPI Selection for Practical Multivariate Anomaly Detection | None |
| 2023 | IEEE Micro | On-Device Tiny Machine Learning for Anomaly Detection Based on the Extreme Values Theory | None |
| 2023 | IEEE SANER | TADL Fault Localization with Transformer-based Anomaly Detection for Dynamic Microservice Systems | None |
| 2023 | IEEE Sens | Multivariate Time Series Anomaly Detection With Generative Adversarial Networks Based on Active Distortion Transformer | None |
| 2023 | IEEE Sens J | A Unified Detection Approach for Point and Subsequence Anomaly Data From Train Axle Temperature Sensors | None |
| 2023 | IEEE Sens J | DUMA: Dual Mask for Multivariate Time Series Anomaly Detection | None |
| 2023 | IEEE Sens J | Real-Time Deep Anomaly Detection Framework for Multivariate Time-Series Data in Industrial IoT | None |
| 2023 | IEEE Sens J | S-KDGAN Series-Knowledge Distillation With GANs for Anomaly Detection of Sensor Time-Series Data in Smart IoT | None |
| 2023 | IEEE Sens J | Unsupervised Anomaly Detection Method for Bearing Based on VAE-GAN and Time-Series Data Correlation Enhancement (June 2023) | None |
| 2023 | IOTJ | Anomaly Detection in Industrial Multivariate Time-Series Data With Neutrosophic Theory | None |
| 2023 | IOTJ | Global-Local Association Discrepancy for Multivariate Time Series Anomaly Detection in IIoT | None |
| 2023 | IOTJ | Multi-view Graph Contrastive Learning for Multivariate Time Series Anomaly Detection in IoT | MGCLAD |
| 2023 | IOTJ | Multiview Graph Contrastive Learning for Multivariate Time-Series Anomaly Detection in IoT | MGCLAD (compelete code is coming soon !) |
| 2023 | IOTJ | Unsupervised Deep Learning for IoT Time Series (综述类文章, 数据集总结) | None |
| 2023 | JMLR proceeding | MGADN A Multi-task Graph Anomaly Detection Network for Multivariate Time Series | None |
| 2023 | Neural Processing Letters | Concept Drift Adaptation for Time Series Anomaly Detection via Transformer | None |
| 2023 | Sensors | An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments | None |
| 2023 | Sensors | DDD TinyML: A TinyML-Based Driver Drowsiness Detection Model Using Deep Learning | None |
| 2023 | ΑΕΙ | BTAD A binary transformer deep neural network model for anomaly detection in multivariate time series data | None |
| 2023 | ΑΕΙ | High-dimensional time series analysis and anomaly detection A case study of vehicle behavior modeling and unhealthy state detection | None |
| 2023 | Applied Soft Computing | Anomaly detection of power battery pack using gated recurrent units based variational autoencoder | None |
| 2023 | Computers in Industry | Deep attention SMOTE Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines | None |
| 2023 | Computers in Industry | Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data | None |
| 2023 | Computers & Security | GRU-Based Interpretable Multivariate Time Series Anomaly Detection in Industrial Control System | None |
| 2023 | Entropy | A Three-Dimensional ResNet and Transformer-Based Approach to Anomaly Detection in Multivariate Temporal-Spatial Data | None |
| 2023 | ESWA | Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder | None |
| 2023 | FGCS | Identifying performance anomalies in fluctuating cloud environments A robust correlative-GNN-based explainable approach | None |
| 2023 | FGCS | Multivariate time series anomaly detection with adversarial transformer architecture in the Internet of Things | None |
| 2023 | Information Fusion | Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series | None |
| 2023 | Information Fusion | MST-GAT A multimodal spatial-temporal graph attention network for time series anomaly detection | mtad-gat (non-official) |
| 2023 | Information Sciences | Few-shot time-series anomaly detection with unsupervised domain adaptation | None |
| 2023 | IP & M | Adaptive Multivariate Time-Series Anomaly Detection | None |
| 2023 | ISA Transactions | Wind turbine anomaly detection based on SCADA A deep autoencoder enhanced by fault instances | None |
| 2023 | IJCNN | Contrastive Time Series Anomaly Detection by Temporal Transformations | None |
| 2023 | KBS | Diagnostic spatio-temporal transformer with faithful encoding | None |
| 2023 | KBS | M3GAN A masking strategy with a mutable filter for multidimensional anomaly detection | M3GAN |
| 2023 | KBS | Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE | MUTANT |
| 2023 | KBS | SIET: Spatial information enhanced transformer for multivariate time series anomaly detection | None |
| 2023 | Nerual Networks | An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection | ATF-UAD |
| 2023 | NeuroComputing | LUAD A lightweight unsupervised anomaly detection scheme for multivariate time series data | None |
| 2023 | PR | DITAN A deep-learning domain agnostic framework for detection and interpretation of temporally-based multivariate ANomalies | None |
| 2023 | RE & SS | A graph embedded in graph framework with dual-sequence input for efficient anomaly detection of complex equipment under insufficient samples | GG_Nets |
| 2023 | RE & SS | Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data | None |
| 2023 | RE & SS | Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data | None |
| 2023 | SEKE | DGNN Dynamic Graph Neural Networks for Anomaly Detection in Multivariate Time Series | None |
| 2023 | The Journal of Supercomputing | Hybrid graph transformer networks for multivariate timeseries anomaly detection | None |
| 2023 | TIE | Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision | None |
| 2023 | TNNLS | An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series (& Supplementary Information) | mvts-ano-eval |
| 2023 | TNNLS | Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | CST-GL |
| 2023 | World Wide Web | HAN-CAD hierarchical attention network for context anomaly detection in multivariate time series | None |
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2022 | KDD '22 | Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams 🌟 | None |
| 2022 | KDD '22 | Local Evaluation of Time Series Anomaly Detection Algorithms | affiliation-metrics-py |
| 2022 | KDD '22 | Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series | FuSAGNet |
| 2022 | KDD '22 | Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream | ARCUS |
| 2022 | KDD '22 | CAT Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences | None |
| 2022 | VLDB '22 | TranAD Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data | TranAD |
| 2022 | VLDB '22 | TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection | TSB-UAD |
| 2022 | VLDB '22 | Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection | VUS |
| 2022 | VLDB J '22 | A survey on outlier explanations | None |
| 2022 | VLDB '22 | A New Distributional Treatment for Time Series and An Anomaly Detection Investigation | IDK/TS |
| 2022 | ICLR '22 | ANOMALY TRANSFORMER: TIME SERIES ANOMALY DETECTION WITH ASSOCIATION DISCREPANCY | Anomaly-Transformer |
| 2022 | ICML '22 | Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection | DVGCRN |
| 2022 | AAAI '22 | Towards a Rigorous Evaluation of Time-series Anomaly Detection | None |
| 2022 | AAAI '22 | AnomalyKiTS: Anomaly Detection Toolkit for Time Series | None |
| 2022 | ICDE '22 | From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations | AERO |
| 2022 | ICDE '22 | Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders | Bi-VQRAE |
| 2022 | ICDE '22 | MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks | None |
| 2022 | KDD Workshop '22 | Representation Learning Using a Multi-Branch Transformer for Industrial Time Series Anomaly Detection | None |
| 2022 | KDD Workshop '22 | One-Class Predictive Autoencoder Towards Unsupervised Anomaly Detection on Industrial Time Series | None |
| 2022 | KDD WorkShop '22 | Towards Explainable Precision Changepoint Detection through Linear Decomposition | None |
| 2022 | CVPR WorkShop '21 | Spacecraft Time-Series Anomaly Detection Using Transfer Learning | None |
| 2022 | IEEE TKDE '22 | Time Series Anomaly Detection with Adversarial Reconstruction Networks | BeatGAN |
| 2022 | IEEE J. Sel. Areas Commun. '22 | Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services | AnoTransfer-code, AnoTransfer-data |
| 2022 | IEEE J. Sel. Areas Commun. '22 | Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed Systems | None |
| 2022 | IEEE TII '22 | ArcNet: Series AC Arc Fault Detection Based on Raw Current and Convolutional Neural Network | None |
| 2022 | IEEE Sens J '22 | GAN-Based Data Augmentation Strategy for Sensor Anomaly Detection in Industrial Robots | None |
| 2022 | IEEE BigData '22 | Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection | DecomposedTransAD |
| 2022 | IEEE BigData '22 | Verification of Sparsity in the Attention Mechanism of Transformer for Anomaly Detection in Multivariate Time Series | None |
| 2022 | IEEE BigData '22 | A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data | semisup-abnormal-event-prediction |
| 2022 | IEEE HPCC '22 | FedTADBench Federated Time-series Anomaly Detection Benchmark | FedTADBench |
| 2022 | IEEE ICTAI '22 | A Dilated Transformer Network for Time Series Anomaly Detection | None |
| 2022 | JASA'22 | Factor Models for High-Dimensional Tensor Time Series | None |
| 2022 | MSSP '22 | A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines | None |
| 2022 | Applied Intelligence '22 | Change point detection for compositional multivariate data | None |
| 2022 | ICDM '22 | Change Detection with Probabilistic Models on Persistence Diagrams | None |
| 2022 | EAAI '22 | Graft : A graph based time series data mining framework | None |
| 2022 | GLOBECOM '22 | Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition | None |
| 2022 | ESWA '22 | Real-time Change-Point Detection A deep neural network-based adaptive approach for detecting changes in multivariate time series data | None |
| 2022 | ESWA '22 | A space-embedding strategy for anomaly detection in multivariate time series | SESAD_V1.0 |
| 2022 | Measurement '22 | Variational transformer-based anomaly detection approach for multivariate time series | None |
| 2022 | Information Sciences '22 | Contrastive autoencoder for anomaly detection in multivariate time series | None |
| 2022 | Axiv '22 | Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data | None |
| 2022 | Arxiv '22 | A Comparative Study on Unsupervised Anomaly Detection for Time Series Experiments and Analysis | ADTS |
| 2022 | Arxiv '22 | LPC-AD Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding | None |
| 2022 | Arxiv '22 | STACKED RESIDUALS OF DYNAMIC LAYERS FOR TIME SERIES ANOMALY DETECTION | None |
| 2022 | KDD Workshop '22 | Prototypes as Explanation for Time Series Anomaly Detection | None |
| 2022 | IEEE TIST '22 | Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors | None |
| 2022 | TII '23 | Learning Hierarchical Spatial-Temporal Graph Representations for Robust Multivariate Industrial Anomaly Detection | None |
| 2022 | TIM '22 | Satellite Telemetry Data Anomaly Detection Using Causal Network and Feature-Attention-Based LSTM | None |
| 2022 | TNSE '22 | Robust Group Anomaly Detection for Quasi-Periodic Network Time Series | None |
| 2022 | TNSE '22 | TimeAutoAD Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series | None |
| 2022 | WWW '22 | A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems | None |
| 2022 | KDD Workshop '22 | Towards Explainable Precision Changepoint Detection through Linear Decomposition | None |
| 2022 | JMLR proceeding '22 | MGADN A Multi-task Graph Anomaly Detection Network for Multivariate Time Series | None |
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2021 | KDD '21 | Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis | None |
| 2021 | KDD '21 | Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding | InterFusion |
| 2021 | KDD '21 | Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering | NSIBF |
| 2021 | KDD '21 | Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization | None |
| 2021 | KDD '21 | Toward Deep Supervised Anomaly Detection Reinforcement Learning from Partially Labeled Anomaly Data | None |
| 2021 | VLDB '21 | SAND: Streaming Subsequence Anomaly Detection | SAND |
| 2021 | VLDB J '21 | Unsupervised and scalable subsequence anomaly detection in large data series | norma |
| 2021 | VLDB '21 | Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series | exathlon |
| 2021 | nips '21 | Revisiting Time Series Outlier Detection: Definitions and Benchmarks | tods |
| 2021 | nips '21 | Online false discovery rate control for anomaly detection in time series | None |
| 2021 | WWW '21 | SDFVAE Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs | SDFVAE |
| 2021 | AAAI '21 | Graph Neural Network-Based Anomaly Detection in Multivariate Time Series | GDN |
| 2021 | ICDE '21 | GRAB: Finding Time Series Natural Structures via A Novel Graph-based Scheme | GRAB |
| 2021 | ICDE '21 | DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series | None |
| 2021 | CVPR WorkShop '21 | Spacecraft Time-Series Anomaly Detection Using Transfer Learning | None |
| 2021 | INFOCOM '21 | CTF Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer | None |
| 2021 | IEEE J. Sel. Areas Commun. '21 | Sequential (Quickest) Change Detection Classical Results and New Directions | None |
| 2021 | IEEE MASS '21 | Repetitive Activity Monitoring from Multivariate Time Series A Generic and Efficient Approach | None |
| 2021 | IEEE TVCG '21 | MultiSegVA Using Visual Analytics to Segment Biologging Time Series on Multiple Scales | None |
| 2021 | IEEE IoT J '21 | An Interpretable Multivariate Time-series Anomaly Detection Method in Cyber-Physical Systems Based on Adaptive Mask | None |
| 2021 | Information Sciences '21 | Change-point detection based on adjusted shape context method cost | None |
| 2021 | Measurement '21 | A deep sequence multi-distribution adversarial model for bearing abnormal condition detection | None |
| 2021 | Measurement '21 | Detection and analysis of real-time anomalies in large-scale complex system | None |
| 2021 | Applied Soft Computing '21 | Temporal convolutional autoencoder for unsupervised anomaly detection in time series | None |
| 2021 | NeuroComputing '21 | Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders | None |
| 2021 | NeuroComputing '21 | Robust unsupervised anomaly detection via multi-time scale DCGANs with forgetting mechanism for industrial multivariate time series | None |
| 2021 | TIM '21 | Multi-Instance Deep Learning Based on Attention Mechanism for Failure Prediction of Unlabeled Hard Disk Drives | None |
| 2021 | TIM '21 | Telemetry Data-Based Spacecraft Anomaly Detection With Spatial-Temporal Generative Adversarial Networks | None |
| 2021 | IJCNN '21 | A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series | None |
| 2021 | Ph.D. Thesis | Explainable and Network-Based Approaches for Decision-making in Emergency Management | None |
| 2021 | Ph.D. Thesis | Mobile sensing based human stress monitoring for smart health applications | None |
| 2021 | Ph.D. Thesis | Detection of Anomalies and Identification of their Precursors in Large Data Series Collections | None |
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2020 | KDD '20 | Non-Linear Mining of Social Activities in Tensor Streams 🌟 | None |
| 2020 | KDD '20 | USAD UnSupervised Anomaly Detection on Multivariate Time Series | usad |
| 2020 | ICDE '20 | SAD An Unsupervised System for Subsequence Anomaly Detection | norma |
| 2020 | ICDE '20 | Automated Anomaly Detection in Large Sequences | norma |
| 2020 | VLDB '20 | GraphAn Graph-based Subsequence Anomaly Detection | series2graph |
| 2020 | NeurIPS '20 | Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network | THOC-Pytorch (unofficial implementation) |
| 2020 | KDD Workshop MiLeTS '20 | Driver2vec Driver Identification from Automotive Data | Driver2vec |
| 2020 | IEEE TCYB '20 | An Online Unsupervised Dynamic Window Method to Track Repeating Patterns From Sensor Data 🌟 | FingdingIOR |
| 2020 | IEEE TIST '20 | Cut-n-Reveal: Time-Series Segmentations with Explanations 🌟 | Cut-n-Reveal |
| 2020 | ACM Trans. Comput. Healthcare '20 | mSIMPAD: Efficient and Robust Mining of Successive Similar Patterns of Multiple Lengths in Time Series 🌟 | mSIMPAD |
| 2020 | Signal Process. '20 | Selective review of offline change point detection methods 🌟 | Ruptures |
| 2020 | Knowl. Inf. Syst. '20 | Unsupervised online change point detection in high-dimensional time series | None |
| 2020 | Pattern Recognit. Lett. '20 | A new approach for optimal time-series segmentation | None |
| 2020 | Pattern Recognit. Lett. '20 | Memetic algorithm for multivariate time-series segmentation 🌟 | ma_mts |
| 2020 | Measurement '20 | Convolutional neural network architecture for beam instabilities identification in Synchrotron Radiation Systems as an anomaly detection problem | None |
| 2020 | Arxiv '20 | An Evaluation of Change Point Detection Algorithms 🌟 | TCPDBench |
| 2020 | ICASSP '20 | Modeling Piece-Wise Stationary Time Series | None |
| 2020 | SDM '20 | Lag-aware multivariate time-series segmentation 🌟 | None |
| 2020 | IEEE Big Data '20 | TadGAN Time Series Anomaly Detection Using Generative Adversarial Networks | TadGAN |
| 2020 | ASE '20 | Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems | None |
| 2020 | IMWUT '20 | ESPRESSO Entropy and ShaPe awaRe timE-Series SegmentatiOn for Processing Heterogeneous Sensor Data | ESPRESSO |
| 2020 | TVCG '20 | CloudDet Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems | None |
| 2020 | [email protected]. Thesis '20 | Unsupervised Subsequence Anomaly Detection in Large Sequences | Paul Boniol's PH.D. Thesis |
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2019 | KDD '19 | Dynamic Modeling and Forecasting of Time-evolving Data Streams | OrbitMap |
| 2019 | KDD '19 | Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network | OmniAnomaly |
| 2019 | Neurips '19 | U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging 🌟 | U-Time |
| 2019 | IJCAI '19 | BeatGAN Anomalous Rhythm Detection using Adversarially Generated Time Series 🌟 | BeatGAN |
| 2019 | ICDM '19 | Multi-aspect mining of complex sensor sequences 🌟 | CubeMarker |
| 2019 | CIKM '19 | Automatic Sequential Pattern Mining in Data Streams | None |
| 2019 | CIKM '19 | Time-Series Aware Precision and Recall for Anomaly Detection | TaPR |
| 2019 | WSDM Workshop '19 | Inferring Work Routines and Behavior Deviations with Life-logging Sensor Data | None |
| 2019 | ICANN '19 | MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks | MAD-GANs |
| 2019 | Adv. Data Anal. Classif. '19 | Greedy Gaussian segmentation of multivariate time series 🌟 | GGS |
| 2019 | DMKD '19 | Domain agnostic online semantic segmentation for multi-dimensional time series 🌟 | Floss & datasets) |
| 2019 | Neurocomputing '19 | A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation | tssa |
| 2019 | Arxiv '2019 | Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning | None |
| 2019 | SDM '19 | Branch and Border Partition Based Change Detection in Multivariate Time Series 🌟 | Bnb |
| 2019 | SDM '19 | SMF Drift-Aware Matrix Factorization with Seasonal Patterns | smf & dataset |
| 2019 | AAAI '19 | A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data | MSCRED |
| 2019 | Ph.D. Thesis | Anomaly Detection in Graphs and Time Series Algorithms and Applications | None |
| Year | Venue | Paper Title and Paper Interpretation | Code |
|---|---|---|---|
| 2018 | AAAI '18 | Automatic Segmentation of Data Sequences | DASSA |
| 2018 | WWW '18 | Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications | donut |
| 2018 | IPCCC '18 | Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder | Bagel |
| 2018 | IEEE TKDE '18 | BEATS Blocks of Eigenvalues Algorithm for Time series Segmentation 🌟 | BEATS |
| 2018 | Arxiv '18 | MASA: Motif-Aware State Assignment in Noisy Time Series Data | MASA |
| 2018 | Arxiv '18 | Time Series Segmentation through Automatic Feature Learning 🌟 | None |
| 2018 | KDD '18 | Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding | telemanom |
| 2018 | Ph.D. Thesis | Inferring Structure from Multivariate Time Series Sensor Data | None |
| 2018 | Ph.D. Thesis | Segmenting, Summarizing and Predicting Data Sequences | None |
| 2018 | vt.edu '18 | Segmentations with Explanations for Outage Analysis 🌟 | None |
| 2018 | ACM Hum.-Comput. Interact '22 | MTV Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series | None |