Scimago Journal & Country Rank

Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Publisher


H-Index

23

Publication type

Conferences and Proceedings

ISSN

-

Coverage

-

Information

Homepage

Scope

The 14th International Conference on Machine Learning and Applications (IEEE ICMLA'15) will be held in Miami, Florida, USA, December 9-11, 2015. ICMLA 2015 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML). The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges. The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, games, are especially encouraged. Contributions describing applications of machine learning (ML) techniques to real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights into the design of ML systems, and papers describing development of new analytical frameworks that advance practical machine learning methods are especially encouraged. Join the conversation about this journal
SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

YearSJR
20170.189
20180.216
20190.314
Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

YearDocuments
20170
20180
20190
Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per documentYearValue
Cites / Doc. (4 years)20171.045
Cites / Doc. (4 years)20181.290
Cites / Doc. (4 years)20191.507
Cites / Doc. (3 years)20171.045
Cites / Doc. (3 years)20181.290
Cites / Doc. (3 years)20191.507
Cites / Doc. (2 years)20171.045
Cites / Doc. (2 years)20181.290
Cites / Doc. (2 years)20190.000
Total Cites 
Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

CitesYearValue
Self Cites20170
Self Cites20180
Self Cites20190
Total Cites2017231
Total Cites2018285
Total Cites2019333
External Cites per Doc 
Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

CitesYearValue
External Cites per document20171.045
External Cites per document20181.290
External Cites per document20191.507
Cites per document20171.045
Cites per document20181.290
Cites per document20191.507
% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

YearInternational Collaboration
20170
20180
20190
Citable documents 
Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

DocumentsYearValue
Non-citable documents20172
Non-citable documents20182
Non-citable documents20192
Citable documents2017219
Citable documents2018219
Citable documents2019219
Cited documents 
Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

DocumentsYearValue
Uncited documents2017121
Uncited documents2018105
Uncited documents2019103
Cited documents2017100
Cited documents2018116
Cited documents2019118
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