Open Access Similarity learning Journals
A list of Open Access Similarity learning journals for you to publish your manuscript in
Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, but the goal is to learn from examples a similarity function that measures how similar or related two objects are
Open Access journals publish papers that are free to the reader to download. OA papers have undergone peer review and are not more or less stringent than papers in closed journals — the main difference is in the business model.
Our team made this list of Similarity learning Open Access journals with the aim to help you to decide where to publish your Similarity learning manuscript.
We have thousands of high-impact factor Similarity learning journals in our list.Rather than displaying just the most relevant Similarity learning journals, we have made an in-depth list of all the open accesss Similarity learning journals. Use our different columns — number of papers, number of citations, and relevance — to find the best Similarity learning venue for your manuscript.
The DOAJ columns refers to the The Directory of Open Access Journals, a list of open access journals, maintained by Infrastructure Services for Open Access.
There are certain criteria a journal must meet to be indexed by DOAJ, and thus inclusion in the DOAJ index is seen by scholars as a mark of quality.
All the open access Similarity learning journals in this list are indexed in OA.mg.
If you spot any mistakes in this table of Similarity learning OA journals, don’t hesitate to send us an email.
Name | ISSN | DOAJ | Publisher | No. of Papers | Citations | Relevance▼ | Website |
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