Special Issues

Mathematics publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Advances in Fuzzy Rough Sets and Intelligent Computing
edited by Wentao Li, and
submission deadline 31 Dec 2026 | 1 articles | Viewed by 1024 | Submission Open
Keywords: fuzzy rough sets; intelligent computing; machine learning; decision support systems; multi-criteria decision making
(This special issue belongs to the Section D2: Operations Research and Fuzzy Decision Making)
Statistical Analysis and Data Science for Complex Data, 2nd Edition
edited by
submission deadline 31 Dec 2026 | 1 articles | Viewed by 283 | Submission Open
Keywords: algorithm; big data; high dimensionality; noisy data
(This special issue belongs to the Section D1: Probability and Statistics)
Advances in Biostatistics and Bioinformatics
edited by and
submission deadline 31 Dec 2026 | Viewed by 92 | Submission Open
Keywords: biostatistics; bioinformatics; machine learning; deep learning; statistical learning; data mining; genomic data analysis; epidemiology; personalized medicine; public health; statistical methods and AI in medical research; statistical methods and AI in epidemiology
(This special issue belongs to the Section D1: Probability and Statistics)
Advanced Mathematical and Statistical Methods for Modern Data Science and Scientific Machine Learning
edited by and
submission deadline 31 Dec 2026 | Viewed by 9 | Submission Open
Keywords: artificial intelligence; approximation theory; bayesian inference; bioinformatics; computational inference; data science; high-dimensional probability; large language models; MCMC; multiple testing; probabilistic modeling; scientific machine learning; statistical computing
(This special issue belongs to the Section D1: Probability and Statistics)
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