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Special Issue "Artificial Intelligence—Methodology, Systems, and Applications"
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (15 January 2019) | Viewed by 47253
Special Issue Editors
Interests: machine learning; data mining; deep learning; semantic web services; e-learning
Special Issue Information
This Special Issue will present extended versions of selected papers presented at the 18th International Conference AIMSA 2018—Artificial Intelligence: Methodology, Systems, and Applications. Initiated in 1984, the biennial AIMSA conference is a premier forum for exchanging information and research results on AI theory and principles along with applications of intelligent system technology. The conference traditionally brings together academic and industrial researchers from all areas of AI to share their ideas and experiences and learn about the research in contemporary AI. As its name indicates, the conference is dedicated to Artificial Intelligence in its entirety. However, for AIMSA 2018, we would like to put an emphasis on Deep Learning as it has been used successfully in many applications, and is considered one of the most cutting-edge machine learning and AI techniques at the moment. Authors of invited papers should be aware that the final submitted manuscript must provide a minimum of 50% new content and not exceed 30% copy/paste from the proceedings paper.
Assoc. Prof. Gennady Agre
Prof. Josef van Genabith
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Deep learning
- Machine learning
- Data Mining
- Natural language processing
- Knowledge representation
- Multi-agent systems
- Image processing