On the public citation graph
Automatic Model Selection Method for Multivariate Time Series Anomaly Detection Based on Data Features
0 signed · 29 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45014-9_1openalex-extracted
Ensemble Methods in Machine Learning
inferredcites →https://doi.org/10.1007/978-3-319-08010-9_33openalex-extracted
Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1007/978-3-319-59050-9_12openalex-extracted
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
inferredcites →https://doi.org/10.1007/978-3-642-35289-8_36openalex-extracted
A Practical Guide to Applying Echo State Networks
inferredcites →https://doi.org/10.1007/978-94-015-3994-4openalex-extracted
Identification of Outliers
inferredcites →https://doi.org/10.1007/s10115-004-0154-9openalex-extracted
Exact indexing of dynamic time warping
inferredcites →https://doi.org/10.1007/s10618-019-00619-1openalex-extracted
Deep learning for time series classification: a review
inferredcites →https://doi.org/10.1016/j.ijforecast.2003.09.015openalex-extracted
Forecasting seasonals and trends by exponentially weighted moving averages
inferredcites →https://doi.org/10.1016/j.neucom.2022.11.056openalex-extracted
problexity—An open-source Python library for supervised learning problem complexity assessment
inferredcites →https://doi.org/10.1016/s0893-6080(05)80023-1openalex-extracted
Stacked generalization
inferredcites →https://doi.org/10.1080/07350015.1998.10524743openalex-extracted
New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program
inferredcites →https://doi.org/10.1080/095400996116802openalex-extracted
Actively Searching for an Effective Neural Network Ensemble
inferredcites →https://doi.org/10.1109/4235.585893openalex-extracted
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/icdm50108.2020.00093openalex-extracted
Multivariate Time-Series Anomaly Detection via Graph Attention Network
inferredcites →https://doi.org/10.1109/mcas.2006.1688199openalex-extracted
Ensemble based systems in decision making
inferredcites →https://doi.org/10.1145/1401890.1401946openalex-extracted
Angle-based outlier detection in high-dimensional data
inferredcites →https://doi.org/10.1162/089976601750264965openalex-extracted
Estimating the Support of a High-Dimensional Distribution
inferredcites →https://doi.org/10.1198/tech.2005.s320openalex-extracted
Combining Pattern Classifiers: Methods and Algorithms
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-extracted
Finding Structure in Time
inferredcites →https://doi.org/10.1609/aaai.v35i5.16523openalex-extracted
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
inferredcites →https://doi.org/10.1613/jair.614openalex-extracted
Popular Ensemble Methods: An Empirical Study
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-extracted
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.1145/3711118openalex-snapshot
Data-centric Artificial Intelligence: A Survey
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.