Unusual Behavior Detection Based on Machine Learning Call for Papers

Special Issue "Unusual Behavior Detection Based on Machine Learning"

Journal Sensors (ISSN 1424-8220, IF 3.576)

Submission deadline: August 20th, 2022

For more information and submission steps on the issue, please visit
the Special Issue website at



Recent advances in pattern recognition and machine learning are
leading many fields of Artificial Intelligence. Anomaly detection
techniques are used to identify unusual events or abnormal patterns
which are often referred to as anomalies or outliers. Detecting
unusual behavior using machine learning is also of great use in
security, where these abnormal behaviors represent a potential
attack. In addition, the vast amount of information that exists today
requires an automatic analysis that allows us to discern whether these
data follow normal behavior or are altered for some reason.


Topics of interest, but no limited to:

    Pattern recognition
    Unusual behavior
    Machine learning
    Supervised learning
    Unsupervised learning
    Anomaly detection
    Abnormal behavior detection


Guest editors

Prof. Dr. Enrique Domínguez (University of Malaga, Spain)
Prof. Dr. Rafael M. Luque-Baena (University of Malaga, Spain)