dear all,
we cordially invite you to submit a manuscript to the following special issue

Special Issue: Methods and Applications for Anomaly Detection
Journal of Computational Mathematics and Data Science (Elsevier)
https://www.journals.elsevier.com/journal-of-computational-mathematics-and-data-science/call-for-papers/

Submission Deadline: 31 July 2022
Manuscripts can be submitted continuously until the deadline. Once a 
paper is submitted, the review process will start immediately. 
Accepted papers will be published continuously in the journal. There 
are no publication fees until March 2022.

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This Special Issue is focused on recent advances in Anomaly Detection 
(AD). AD is an important problem in many applications and it consists 
of establishing whether a given data deviates from nominal shape or 
form. The AD problem depends on the nature of input data (points, 
sequences, functions, graphs, images, objects of different nature), on 
the type of anomaly (point anomalies, contextual or behavioral 
anomalies or their combination), on the availability of labeled data 
for training/validation of the AD techniques (leading to unsupervised 
AD and supervised AD), and on the type of output of the AD (scores or 
label).   Some of the topics of interest include (but are not limited 
to):
Classification techniques
Robust regression
Robust PCA
Robust signal processing
Robust image processing
Clustering techniques
Information theory techniques
Artificial Intelligence
AD Application to any field

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Manuscript submission information:

Guest Editors:
Annalisa Pascarella (IAC-CNR, Italy)
Daniela De Canditiis (IAC-CNR, Italy)

The submission website for this journal is located at:
https://www.editorialmanager.com/jcmds/default.aspx

To ensure that all manuscripts are correctly identified for inclusion 
into the special issue, it is important that authors 
select VSI: Anomaly Detection (Special Issue) when they reach the 
“Article Type” step in the submission process.



We look forward to hearing from you.

All the best,
Annalisa Pascarella
Daniela De Canditiis

--
Daniela De Canditiis, PhD 
Istituto per le Applicazioni del Calcolo "M.Picone" (CNR)
via dei Taurini, 19 -- 00185 Roma, Italy
tel: +39 06 49937342
fax: +39 06 4404306
http://www.iac.rm.cnr.it/~danielad/