{"total":22,"rows":[{"id":"2403.14735","title":"Foundation Models for Time Series Analysis: A Tutorial and Survey","created":"2024-03-21","cited_by_count":239,"area":null},{"id":"2210.09693","title":"TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis","created":"2022-10-18","cited_by_count":48,"area":null},{"id":"2304.04661","title":"AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges","created":"2023-04-10","cited_by_count":15,"area":null},{"id":"2309.15376","title":"ADGym: Design Choices for Deep Anomaly Detection","created":"2023-09-27","cited_by_count":11,"area":null},{"id":"2408.00803","title":"A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends","created":"2024-07-23","cited_by_count":10,"area":null},{"id":"2310.05668","title":"LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection","created":"2023-10-09","cited_by_count":9,"area":null},{"id":"2206.02956","title":"Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection","created":"2022-06-07","cited_by_count":5,"area":null},{"id":"2301.13572","title":"BALANCE: Bayesian Linear Attribution for Root Cause Localization","created":"2023-01-31","cited_by_count":3,"area":null},{"id":"2311.16191","title":"Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection","created":"2023-11-26","cited_by_count":3,"area":null},{"id":"2501.11959","title":"Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels","created":"2025-01-21","cited_by_count":3,"area":null},{"id":"2607.20002","title":"Post-Training in Time Series Foundation Models: A Unifying Framework","created":"2026-07-22","cited_by_count":3,"area":null},{"id":"2202.11269","title":"NetRCA: An Effective Network Fault Cause Localization Algorithm","created":"2022-02-23","cited_by_count":2,"area":null},{"id":"2405.20848","title":"SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2406.19711","title":"CHASE: A Causal Hypergraph based Framework for Root Cause Analysis in Multimodal Microservice Systems","created":"2024-06-28","cited_by_count":2,"area":null},{"id":"2407.14532","title":"A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management","created":"2024-07-09","cited_by_count":2,"area":null},{"id":"2408.04236","title":"Cluster-Wide Task Slowdown Detection in Cloud System","created":"2024-08-08","cited_by_count":2,"area":null},{"id":"2512.22113","title":"PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis","created":"2025-12-26","cited_by_count":2,"area":null},{"id":"2402.13264","title":"KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks","created":"2024-02-11","cited_by_count":1,"area":null},{"id":"2501.02766","title":"Are GNNs Actually Effective for Multimodal Fault Diagnosis in Microservice Systems?","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2506.20673","title":"ClusterRCA: An End-to-End Approach for Network Fault Localization and Classification for HPC System","created":"2025-06-17","cited_by_count":1,"area":null},{"id":"2601.04709","title":"Bridging Temporal and Textual Modalities: A Multimodal Framework for Automated Cloud Failure Root Cause Analysis","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2607.08555","title":"CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency","created":"2026-07-09","cited_by_count":0,"area":null}],"next_cursor":null}