Dear Colleague,
as Guest Editors of the Special Issue "Modern Optimization Approaches to Classification" in the journal EURO Journal on Computational Optimization (ISSN: 2192-4406, Open Access) we would like to inform you about the following call for papers:
Special Issue on "Modern Optimization Approaches to Classification " ("VSI: Optimization for Classification")
Journal: EURO Journal on Computational Optimization
Call for papers: here
Editorial Manager submission system: https://www.editorialmanager.com/ejcomp
The open access Article Publishing Charge (APC) fee will be covered by EURO for articles submitted by 31st December 2023.
Important Dates
- Submission deadline: December 31, 2022
- Final decision: July 31, 2023
Aims and scope
The last few years have witnessed an increasing interaction between the Optimization and Data Science communities, leading to innovative results in both fields. The special issue is intended to be a collection of original research papers reflecting the intersection of optimization and data science topics as clustering and classification. The interplay between these areas, in fact, is essential in the current scenario where the development of complex, data-analytic systems plays a fundamental role.
The special issue is related to the topics of the 17th International conference of the International Federation of Classification Societies - IFCS 2022. Participants of the conference, as well as other authors are invited to submit contributions.
Topics of interest
- Methodological innovations in optimization-based approaches for classification and clustering.
- Developments and applications of these methods in specific applicative domains
- Interpretable models for classification
- Robust modeling for data classification
- other topics related to the interplay of clustering, data science and data analytics with optimization
Paper submission and review
The special issue aims to promote research on theoretical and practical aspects of classification and clustering, combined with modern optimization techniques. In particular, the focus is on algorithms and models, introducing an innovative application of optimization tools to classification problems. We aim at papers presenting new models for classification or clustering, new training algorithms for existing classification tools, optimization-based feature selection techniques, interpretable clustering and/or classification techniques, innovative applications of classification tools, large-scale algorithms.
Only original contributions of the highest quality will be included.
All papers must be written in English. Papers should be submitted electronically using the EURO Journal on Computational Optimization submission system and following the instructions for authors. When submitting, authors are requested to choose "VSI: Optimization for Classification" to indicate that the paper is intended for this special issue.
Guest editors will make an initial determination of the suitability and scope of all submissions. The submissions will be blind reviewed by at least two independent reviewers.
Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue.
Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please see an example here:
https://www.sciencedirect.com/journal/euro-journal-on-transportation-and-logistics/vol/11/suppl/C
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and link to submit your manuscript is available on the Journal's homepage at:
https://www.elsevier.com/journals/euro-journal-on-computational-optimization/2192-4406/guide-for-authors
Guest editors
Laura Palagi,
Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University of Rome.
Email: laura.palagi@uniroma1.it
Veronica Piccialli,
Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University of Rome.
Email: veronica.piccialli@uniroma1.it
António Pedro Duarte Silva,
Católica Porto Business School, Univ. Católica Portuguesa.
Email: psilva@ucp.pt
Kind regards,
Laura Palagi,
Veronica Piccialli,
António Pedro Duarte Silva------------------------------
Laura Palagi
Professor
Università degli Studi di Roma La Sapienza Dipartimento di Ingegneria informatica automatica e gestionale Antonio Ruberti
Roma - Italy
email
laura.palagi@uniroma1.it------------------------------