Physics, mathematics, computer science, quantitative biology, quantitative finance, statistics
Open access to pre-prints of research articles and conference publications.
Articles are not peer-reviewed by arXiv..
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Physics, mathematics, computer science, quantitative biology, quantitative finance, statistics
Open access to pre-prints of research articles and conference publications.
Articles are not peer-reviewed by arXiv..
Applied Artificial Intelligence aims to address concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about multidisciplinary impacts of AI research based on novel methods, techniques, and frameworks.
Includes in-depth studies of innovative artificial intelligence systems that are being used in the legal domain, and gives space to studies addressing the legal, ethical and social implications of the use of artificial intelligence in law.
Big Data and Cognitive Computing (ISSN 2504-2289) is an international, interdisciplinary scholarly scientific, and open access journal on big data and cognitive computing for computer science. This journal blends together big-data theories with emerging technologies on smart clouds and exploring supercomputers with new applications.
IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE's fields of interest.
IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business.
Journal of Artificial Intelligence and Soft Computing Research is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.
"Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensor and its applications. It publishes comprehensive reviews and regular research papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. The full experimental details must be provided so that the results can be reproduced."
The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning.
The focus of the journal is towards research advances on new and innovative intelligent systems’ methodologies and their applications in solving real life complex problems.