2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015

Country

United States

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

Subject Area and Category

Arts and Humanities
- Classics

Computer Science
- Artificial Intelligence
- Hardware and Architecture

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Biomedical multidimensional signal processing and multimedia understanding is an important part of many intelligent applications. Analyzing raw data is essential to exploit their full potential and to help with their detail analysis and use in bioengineering, control and robotic systems. Our purpose is to provide an international forum to present and discuss current trends and future directions in computational intelligence in biomedicine, neurology and multimedia understanding. The meeting also aims at fostering the creation of a permanent network of scientists and practitioners for an easy access to latest research topics in this interdisciplinary area. Suggested topics include, but are not limited to: • Medical data mining, biosensors and multiframe signal acqusition • Medical image segmentation • Biological and medical knowledge representation and data processing • Man-machine interaction, motion detection, recognition and modelling • Statistical and Bayesian methods of biosignal processing • Wavelet transforms and multidimensional signals analysis • Computational intelligence in biomedicine • Polysomnography and diagnosis of sleep disorders • Optical coherence tomography and retinal imaging • Data processing in rehabilitation and analysis of sport activities • Integration of heterogeneous data sources in medicine and data fusion • Multimedia labeling, semantic annotation • Multimodal and cross-modal data analysis, clustering • Big data, distributed digital libraries and decision support systems in medicine • Multimodal indexing and searching in very large data-bases • Remote patient monitoring and telemonitoring, eHealth, mHealth • Digital signal processing and assistive technologies • Text and speech recognition • Microscopic image feature extraction and classification

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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.

Year	SJR
2016	0.120
2017	0.150
2018	0.133

Total Documents

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

Year	Documents
2016	0
2017	0
2018	0

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 document	Year	Value
Cites / Doc. (4 years)	2016	0.622
Cites / Doc. (4 years)	2017	0.703
Cites / Doc. (4 years)	2018	0.865
Cites / Doc. (3 years)	2016	0.622
Cites / Doc. (3 years)	2017	0.703
Cites / Doc. (3 years)	2018	0.865
Cites / Doc. (2 years)	2016	0.622
Cites / Doc. (2 years)	2017	0.703
Cites / Doc. (2 years)	2018	0.000

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.

Cites	Year	Value
Self Cites	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	23
Total Cites	2017	26
Total Cites	2018	32

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.

Cites	Year	Value
External Cites per document	2016	0.622
External Cites per document	2017	0.703
External Cites per document	2018	0.865
Cites per document	2016	0.622
Cites per document	2017	0.703
Cites per document	2018	0.865

% 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.

Year	International Collaboration
2016	0
2017	0
2018	0

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.

Documents	Year	Value
Non-citable documents	2016	1
Non-citable documents	2017	1
Non-citable documents	2018	1
Citable documents	2016	36
Citable documents	2017	36
Citable documents	2018	36

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.

Documents	Year	Value
Uncited documents	2016	24
Uncited documents	2017	25
Uncited documents	2018	25
Cited documents	2016	13
Cited documents	2017	12
Cited documents	2018	12

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