Special Issue "Deep Learning for Data Analysis"
Deadline for manuscript submissions: closed (20 May 2022) | Viewed by 513
Interests: machine learning; deep leaerning; signal processing; neuro-engineering; computer vision
We are inviting submissions to the Special Issue on Deep Learning for Data Analysis.
Nowadays, Deep Learning is one of the central topics on widespread applications regarding data processing and analysis. In particular, the representation capability of deep learning approaches and their optimization frameworks, mainly based on automatic differentiation and parallel computing, yields sophisticated tools to extract relevant information from raw data, attracting more and more interest from the research community in several fields, such as computer vision, neuro-engineering, big data, business intelligence, time-series forecasting, natural language processing, artificial intelligence, among others.
In this Special Issue, we invite submissions exploring theoretical or applied research concerning recent advances in deep learning methods. Also, comprehensive review and survey papers are welcome.
Dr. Andres Alvarez-Meza
Dr. David Cárdenas-Peña
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2300 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
- data analysis
- machine learning
- representation learning
- computer vision
- big data
- time series forecasting
- natural language processing
- ariticial intelligence