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Example of AI Communications format Example of AI Communications format Example of AI Communications format Example of AI Communications format Example of AI Communications format
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Example of AI Communications format Example of AI Communications format Example of AI Communications format Example of AI Communications format Example of AI Communications format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access

AI Communications — Template for authors

Publisher: IOS Press
Categories Rank Trend in last 3 yrs
Artificial Intelligence #103 of 227 up up by 16 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 90 Published Papers | 335 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 02/06/2020
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Related Journals

open access Open Access
recommended Recommended

SAGE

Quality:  
High
CiteRatio: 2.4
SJR: 0.286
SNIP: 0.689
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Hindawi

Quality:  
High
CiteRatio: 5.0
SJR: 0.371
SNIP: 1.169
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IEEE

Quality:  
High
CiteRatio: 16.5
SJR: 1.834
SNIP: 5.821

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

3.7

48% from 2019

CiteRatio for AI Communications from 2016 - 2020
Year Value
2020 3.7
2019 2.5
2018 1.9
2017 1.5
2016 1.5
graph view Graph view
table view Table view

0.337

4% from 2019

SJR for AI Communications from 2016 - 2020
Year Value
2020 0.337
2019 0.351
2018 0.222
2017 0.242
2016 0.301
graph view Graph view
table view Table view

1.281

43% from 2019

SNIP for AI Communications from 2016 - 2020
Year Value
2020 1.281
2019 0.895
2018 0.651
2017 0.526
2016 0.643
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 48% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 4% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 43% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

AI Communications

Guideline source: View

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IOS Press

AI Communications

AI Communications is a journal on Artificial Intelligence (AI) which has a close relationship to EurAI (European Association for Artificial Intelligence, formerly ECCAI). It covers the whole AI community: scientific institutions as well as commercial and industrial companies.... Read More

Artificial Intelligence

Computer Science

i
Last updated on
02 Jun 2020
i
ISSN
0921-7126
i
Impact Factor
Medium - 0.654
i
Acceptance Rate
Not provided
i
Frequency
Monthly
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
numbered
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Citation Type
Numbered
[25]
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Bibliography Example
G.E. Blonder, M. Tinkham and T.M. Klapwijk, Transition from metallic to tunneling regimes in superconducting micro-constrictions: Excess current, charge imbalance, and super- current conversion, Phys. Rev. B 25(7) (1982), 4515–4532. 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.3233/AIC-1994-7104
Case-based reasoning: foundational issues, methodological variations, and system approaches
Agnar Aamodt1, Enric Plaza2
01 Mar 1994 - Ai Communications

Abstract:

Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other continents, and we are now within a period of highly active research in case-based reasoning in Europe, as well. ... Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other continents, and we are now within a period of highly active research in case-based reasoning in Europe, as well. This paper gives an overview of the foundational issues related to case-based reasoning, describes some of the leading methodological approaches within the field, and exemplifies the current state through pointers to some systems. Initially, a general framework is defined, to which the subsequent descriptions and discussions will refer. The framework is influenced by recent methodologies for knowledge level descriptions of intelligent systems. The methods for case retrieval, reuse, solution testing, and learning are summarized, and their actual realization is discussed in the light of a few example systems that represent different CBR approaches. We also discuss the role of case-based methods as one type of reasoning and learning method within an integrated system architecture. read more read less

Topics:

Case-based reasoning (65%)65% related to the paper, Reasoning system (62%)62% related to the paper, Model-based reasoning (61%)61% related to the paper, Qualitative reasoning (61%)61% related to the paper, Adaptive reasoning (58%)58% related to the paper
View PDF
5,750 Citations
Journal Article DOI: 10.3233/AIC-1995-8111
Computer and Robot Vision
Emanuele Trucco1
01 Jan 1995 - Ai Communications

Abstract:

Computer and Robot Vision Vol. 1, by R.M. Haralick and Linda G. Shapiro, Addison-Wesley, 1992, ISBN 0-201-10887-1.
1,426 Citations
Journal Article DOI: 10.3233/AIC-2011-0491
Potassco: The Potsdam Answer Set Solving Collection
01 Apr 2011 - Ai Communications

Abstract:

This paper gives an overview of the open source project Potassco, the Potsdam Answer Set Solving Collection, bundling tools for Answer Set Programming developed at the University of Potsdam. This paper gives an overview of the open source project Potassco, the Potsdam Answer Set Solving Collection, bundling tools for Answer Set Programming developed at the University of Potsdam. read more read less

Topics:

Answer set programming (62%)62% related to the paper, Set (abstract data type) (57%)57% related to the paper
538 Citations
open accessOpen access Journal Article DOI: 10.3233/AIC-170729
Linear discriminant analysis: A detailed tutorial
Alaa Tharwat1, Alaa Tharwat2, Tarek Gaber2, Abdelhameed Ibrahim3, Aboul Ella Hassanien4
01 Jan 2017 - Ai Communications

Abstract:

Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction problems as a preprocessing step for machine learning and pattern classification applications. At the same time, it is usually used as a black box, but (sometimes) not well understood. The aim of this paper is to build a solid intu... Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction problems as a preprocessing step for machine learning and pattern classification applications. At the same time, it is usually used as a black box, but (sometimes) not well understood. The aim of this paper is to build a solid intuition for what is LDA, and how LDA works, thus enabling readers of all levels be able to get a better understanding of the LDA and to know how to apply this technique in different applications. The paper first gave the basic definitions and steps of how LDA technique works supported with visual explanations of these steps. Moreover, the two methods of computing the LDA space, i.e. class-dependent and class-independent methods, were explained in details. Then, in a step-by-step approach, two numerical examples are demonstrated to show how the LDA space can be calculated in case of the class-dependent and class-independent methods. Furthermore, two of the most common LDA problems (i.e. Small Sample Size (SSS) and non-linearity problems) were highlighted and illustrated, and state-of-the-art solutions to these problems were investigated and explained. Finally, a number of experiments was conducted with different datasets to (1) investigate the effect of the eigenvectors that used in the LDA space on the robustness of the extracted feature for the classification accuracy, and (2) to show when the SSS problem occurs and how it can be addressed. read more read less

Topics:

Linear discriminant analysis (57%)57% related to the paper, Dimensionality reduction (53%)53% related to the paper
View PDF
518 Citations
open accessOpen access Journal Article
E - a brainiac theorem prover
Stephan Schulz1
01 Aug 2002 - Ai Communications

Abstract:

We describe the superposition-based theorem prover E. E is a sound and complete prover for clausal first order logic with equality. Important properties of the prover include strong redundancy elimination criteria, the DISCOUNT loop proof procedure, a very flexible interface for specifying search control heuristics, and an ef... We describe the superposition-based theorem prover E. E is a sound and complete prover for clausal first order logic with equality. Important properties of the prover include strong redundancy elimination criteria, the DISCOUNT loop proof procedure, a very flexible interface for specifying search control heuristics, and an efficient inference engine. We also discuss strength and weaknesses of the system. read more read less

Topics:

Gas meter prover (59%)59% related to the paper, Automated theorem proving (54%)54% related to the paper, Proof procedure (54%)54% related to the paper, First-order logic (54%)54% related to the paper, Superposition calculus (53%)53% related to the paper
View PDF
515 Citations
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SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

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With SciSpace, you do not need a word template for AI Communications.

It automatically formats your research paper to IOS Press formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
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Easy support from all your favorite tools

AI Communications format uses numbered citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write AI Communications in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the AI Communications guidelines and auto format it.

2. Do you follow the AI Communications guidelines?

Yes, the template is compliant with the AI Communications guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in AI Communications?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the AI Communications citation style.

4. Can I use the AI Communications templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for AI Communications.

5. Can I use a manuscript in AI Communications that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper AI Communications that you can download at the end.

6. How long does it usually take you to format my papers in AI Communications?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in AI Communications.

7. Where can I find the template for the AI Communications?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per AI Communications's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the AI Communications's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. AI Communications an online tool or is there a desktop version?

SciSpace's AI Communications is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like AI Communications?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like AI Communications?”

11. What is the output that I would get after using AI Communications?

After writing your paper autoformatting in AI Communications, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is AI Communications's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for AI Communications?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for AI Communications. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In AI Communications?

The 5 most common citation types in order of usage for AI Communications are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the AI Communications?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per AI Communications's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download AI Communications in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in AI Communications Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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