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  • STHP_revison_v1

    Rights statement: This is the author’s version of a work that was accepted for publication in Information Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Science, ?, ?, 2020 DOI:

    Accepted author manuscript, 1.55 MB, PDF document

    Embargo ends: 1/01/50

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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A Self-Training Hierarchical Prototype-Based Approach for Semi-Supervised Classification

Research output: Contribution to journalJournal article

Forthcoming
<mark>Journal publication date</mark>9/05/2020
<mark>Journal</mark>Information Sciences
Publication statusAccepted/In press
Original languageEnglish

Bibliographic note

This is the author’s version of a work that was accepted for publication in Information Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Science, ?, ?, 2020 DOI: