IJAI-ML-IV-2020: Special Issue of IJAI on Machine Learning Methods for Inverse Problems |
Website | http://www.ceser.in/ceserp/index.php/ijai/about/editorialPolicies#custom-1 |
Submission link | https://easychair.org/conferences/?conf=ijaimliv2020 |
Submission deadline | June 30, 2020 |
SPECIAL ISSUE OF INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE (IJAI) ON MACHINE LEARNING METHODS FOR INVERSE PROBLEMS
Inverse Problems can be found in many branches/fields of science. In this context, the estimation of parameters or model states is performed via data. As is well-known, Inverse Problems can be ill-posed, which can difficult the computation of optimal parameters by employing, for instance, gradient-based optimization methods. Thus, alternatives such as Machine Learning (ML) techniques can be applied to learn from data and to adjust (model) parameters. For instance, in Data Assimilation, imperfect model forecasts are adjusted according to real noisy observations. Based on these, parameters such as the localization radius and the inflation factor can be estimated via ML methods. In Data-Driven methods, ML methods can be utilized to abstract error statistics from data and to build models that mimic the actual behavior of natural phenomena. In general, ML methods can be exploited in any context wherein complex relations of variables (parameters or states) rises from data.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The papers must be formatted according to the IJAI journal, more info here: http://www.ceser.in/ceserp/index.php/ijai/about/submissions#authorGuidelines
List of Topics
Main topics of interest of this special issue are (but not restricted to):
- Data Assimilation
- Bayesian Inference
- Data-Driven Models
- Uncertainty Quantification
- Image Processing
Important Dates
- Paper Submission: June 30, 2020.
- Acceptance/Rejection Notification: July 15, 2020.
- Camera Ready: July 30, 2020.
- Special Issue: Autumn, 2020.
Guest Editor
About the Journal
The main aim of the International Journal of Artificial Intelligence™ (ISSN 0974-0635) is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence. This is a broad-based journal covering all branches of Artificial Intelligence and its application in the following topics: Technology & Computing; Fuzzy Logic; Neural Networks; Reasoning and Evolution; Automatic Control; Mechatronics; Robotics; Parallel Processing; Programming Languages; Software & Hardware Architectures; CAD Design & Testing; Web Intelligence Applications; Computer Vision and Speech Understanding; Multimedia & Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning; Signal, Image & Speech Processing; Intelligent System Architectures; Knowledge Representation; Bioinformatics; Natural Language Processing; Mathematics & Physics. The International Journal of Artificial Intelligence (IJAI) is a peer-reviewed online journal and is published in Spring and Autumn i.e. two times in a year.
The International Journal of Artificial Intelligence (ISSN 0974-0635) is reviewed, abstracted and indexed in the past by the INSPEC The IET, SCOPUS (Elsevier Bibliographic Databases), Zentralblatt MATH (io-port.net) of European Mathematical Society, Indian Science Abstracts, getCITED, SCImago Journal & Country Rank, Newjour, JournalSeek, Math-jobs.com’s Journal Index, Academic keys, Ulrich's Periodicals Directory, IndexCopernicus, and International Statistical Institute (ISI, Netherlands)Journal Index. The IJAI is already in request process to get reviewed, abstracted and indexed by the Clarivate Analytics Web of Science (Also known as Thomson ISI Web of Knowledge SCI), Mathematical Reviews and MathSciNet of American Mathematical Society, and by other agencies.
More info here: http://www.ceser.in/ceserp/index.php/ijai/index
Contact
Dr. Elias D. Nino-Ruiz, enino@uninorte.edu.co