Cover Image

RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdelmaksoud, Mohamed, Ding, Sheng, Morozov, Andrey, Abedjan, Ziawasch
Format:	Preprint
Published:	2026
Subjects:	Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Blend: A Unified Data Discovery System
by: Esmailoghli, Mahdi, et al.
Published: (2023)

Guiding Catalogue Enrichment with User Queries
by: Du, Yupei, et al.
Published: (2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

Dive into Time-Series Anomaly Detection: A Decade Review
by: Boniol, Paul, et al.
Published: (2024)

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
by: Zhang, Buang, et al.
Published: (2025)

Multivariate Time-series Anomaly Detection via Dynamic Model Pool & Ensembling
by: Hu, Wei, et al.
Published: (2026)

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
by: Wang, Yuanyi, et al.
Published: (2024)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

TODS: An Automated Time Series Outlier Detection System
by: Lai, Kwei-Herng, et al.
Published: (2020)

Learning Action Embeddings for Off-Policy Evaluation
by: Cief, Matej, et al.
Published: (2023)

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
by: Xu, Ronghui, et al.
Published: (2024)

CLaP -- State Detection from Time Series
by: Ermshaus, Arik, et al.
Published: (2025)

CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations
by: Tang, Benzhao, et al.
Published: (2026)

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version
by: Campos, David, et al.
Published: (2026)

DTMamba : Dual Twin Mamba for Time Series Forecasting
by: Wu, Zexue, et al.
Published: (2024)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
by: Liang, Zhiyu, et al.
Published: (2024)

CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
by: Xue, Rui, et al.
Published: (2025)

ImputeGAP: A Comprehensive Library for Time Series Imputation
by: Nater, Quentin, et al.
Published: (2025)

Data Driven Decision Making with Time Series and Spatio-temporal Data
by: Yang, Bin, et al.
Published: (2025)

FedST: Secure Federated Shapelet Transformation for Time Series Classification
by: Liang, Zhiyu, et al.
Published: (2023)

E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
by: Lai, Zhichen, et al.
Published: (2024)

Open-Source Drift Detection Tools in Action: Insights from Two Use Cases
by: Müller, Rieke, et al.
Published: (2024)

Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
by: Zhang, Jiasheng, et al.
Published: (2024)

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
by: Clement, Tobias, et al.
Published: (2024)

Towards Controllable Time Series Generation
by: Bao, Yifan, et al.
Published: (2024)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)

A Survey on Time-Series Distance Measures
by: Paparrizos, John, et al.
Published: (2024)

Motiflets -- Simple and Accurate Detection of Motifs in Time Series
by: Schäfer, Patrick, et al.
Published: (2022)

Raising the ClaSS of Streaming Time Series Segmentation
by: Ermshaus, Arik, et al.
Published: (2023)

Cross-Model Consistency of Feature Importance in Electrospinning: Separating Robust from Model-Dependent Features
by: Mahdian, Mehrab, et al.
Published: (2026)

Bridging the Gap: A Decade Review of Time-Series Clustering Methods
by: Paparrizos, John, et al.
Published: (2024)

Poodle: Seamlessly Scaling Down Large Language Models with Just-in-Time Model Replacement
by: Strassenburg, Nils, et al.
Published: (2025)

NeurStore: Efficient In-database Deep Learning Model Management System
by: Xiang, Siqi, et al.
Published: (2025)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
by: Chen, Tianyi, et al.
Published: (2025)

SEAnet: A Deep Learning Architecture for Data Series Similarity Search
by: Wang, Qitong, et al.
Published: (2026)

Hashing for Fast Pattern Set Selection
by: Karjalainen, Maiju, et al.
Published: (2025)

Selecting Walk Schemes for Database Embedding
by: Lubarsky, Yuval Lev, et al.
Published: (2024)

Robust Detection of Synthetic Tabular Data under Schema Variability
by: Kindji, G. Charbel N., et al.
Published: (2025)

Hydro: Adaptive Query Processing of ML Queries
by: Kakkar, Gaurav Tarlok, et al.
Published: (2024)

CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF
by: Rathuwadu, Lankadinee, et al.
Published: (2025)