Special Issue "Applied Deep Learning: Business and Industrial Applications"
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: closed (30 November 2018) | Viewed by 6543
Interests: business analytics; machine learning; distributed systems; knowledge representation
Interests: deep learning; fintech; business analytics; artificial intelligence; industry 4.0.
Interests: machine learning; big data analytics; deep architectures for audio analysis; multimodal deep learning
In the last decade, deep learning has emerged as a sub-field of machine learning that opens new possibilities for applications. The success of deep learning algorithms and architectures in the fields of image processing, speech recognition or text processing are demonstrations of its potential for a variety of tasks. This has been made possible due to a combination of advances in the training algorithms that can be traced back to neural networks and the exploitation of parallel computing and GPUs in deep learning frameworks, such as Theano, TensorFlow, and others.
In this Special Issue, we aim at collecting recent research on applications of deep learning and practical aspects of devising and deploying deep learning at scale.
The Special Issue welcomes contributions in one of the following categories, or in other related ones:
- Applications of deep learning techniques in the broad range of business analytics problems and problems related to industrial processes.
- Systematic or analytic reviews of the application of deep learning to categories of problems or concrete settings, that inform further research.
- Papers dealing with practical aspects of devising and deploying deep learning, including empirical comparisons of deep learning libraries, evaluation of tools for deep learning or any other aspect related to the practice in the field.
Prospective authors are encouraged to contact the Guest Editors for advice about the scope of potential submissions.
Prof. Dr. Miguel-Angel Sicilia
Prof. Dr. Ignacio Olmeda
Prof. Dr. Alessandro Lameiras Koerich
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 submissions that pass pre-check are 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. Big Data and Cognitive Computing is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). 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
- neural networks