Applications Based on Asymmetry/Symmetry in Data Mining and Machine Learning
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 50
Special Issue Editors
Interests: artificial intelligence; machine learning; RNA; bioinformatics; genomics; biomedicine
Special Issue Information
Dear Colleagues,
As a guest editor for this Special Issue, it is my pleasure to introduce a collection of works exploring the profound role of symmetry and asymmetry in data mining and machine learning. The interplay between these two principles is fundamental. Symmetry provides structure, reduces complexity, and imbues models with invariances. Asymmetry captures the critical deviations, imbalances, and directional relationships that define the real-world data.
This issue highlights cutting-edge research that leverages this duality. Contributions span theoretical advances exploiting group theory and geometric priors for innovative applications in graph neural networks, computer vision, and generative modeling. Several papers have addressed asymmetry in the form of data imbalance, algorithmic fairness, and asymmetric loss functions, tackling essential challenges in ethical AI and robust learning.
We invite you to delve into these studies that collectively demonstrate how a principled understanding of (a)symmetry is not merely an abstract concern but a powerful lens for designing the next generation of intelligent systems.
We look forward to receiving your contributions.
Dr. Cesaré Ovando-Vazquez
Dr. Mishael Sánchez-Pérez
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- symmetries
- asymmetries
- explainable
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