Crowdsourcing Learning: Theories, Algorithms, and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 January 2026
Special Issue Editors
Interests: machine learning; data mining
Special Issues, Collections and Topics in MDPI journals
Interests: crowdsourcing; human computation
Special Issue Information
Dear Colleagues,
Crowdsourcing provides a fast, efficient, and cost-effective way to obtain large scales of labeled data. Crowdsourcing learning refers to learning from data labeled by crowd workers. Since the labels annotated by crowd workers are not always ground truth, crowdsourcing learning is identified as one of the weakly supervised learning paradigms with inaccurate supervision. It has gradually become one of the most active and important research areas in the machine learning and data mining community. The main challenges in the field of crowdsourcing learning contain class-imbalanced crowdsourcing learning, active crowdsourcing learning, semi-supervised crowdsourcing learning, multi-label crowdsourcing learning, multi-view crowdsourcing learning, transfer crowdsourcing learning, and so on. The aim of this Special Issue is to provide a forum for researchers to disseminate their latest theories, algorithms, and applications in the field of crowdsourcing learning. Potential topics include, but are not limited to, the following: recent theories of crowdsourcing learning; new algorithms for crowdsourcing learning; and promising applications of crowdsourcing learning in real-world science and engineering domains. Overall, this proposed Special Issue, entitled ‘Crowdsourcing Learning: Theories, Algorithms, and Applications’, aims to contribute significantly to the field while resonating with the readership of the journal.
Prof. Dr. Liangxiao Jiang
Dr. Jiyi Li
Dr. Chaoqun Li
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- crowdsourcing learning
- label completion
- label integration
- noise correction
- model correction
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
