Machine Learning in Statistical Data Processing
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (9 January 2023) | Viewed by 5023
Special Issue Editor
Interests: disease recognition using artificial intelligence methods; digital health; multimodal interfaces; biomedical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues，
Statistics and machine learning are inextricably linked. In recent years, highly effective data classification and prediction approaches have been created. New methodologies for statistical data processing and machine learning offer unprecedented prospects for creating new methods and approaches, as well as their application to efficiently solve real world issues. Machine learning enables computers to learn and recognize patterns without being programmed. When statistical approaches and machine learning are coupled, they form a robust tool for analysing various types of data in numerous computer science/engineering fields, such as image processing, audio processing, natural language processing, robot control, etc.
The planned Special Issue aims to gather review papers and research articles that offer novel original methodologies, theoretical studies, applications, data analysis, case studies, comparative studies, and other findings. Particular emphasis will be placed on the theory and application of statistical data processing and machine learning to many fields, such as computer science, engineering, manufacturing, industry 4.0, healthcare, assisted living, education, economics, sustainability, etc., to contribute novel findings to the research community.
Prof. Dr. Robertas Damaševičius
Guest Editor
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. Algorithms is an international peer-reviewed open access monthly 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 1600 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.
Keywords
- computational intelligence
- feature extraction and selection
- time series analysis and forecasting
- machine learning algorithms
- ensemble methods
- neural networks
- deep learning
- natural language processing
- data representation in multi-dimensional search space
- feature fusion algorithms
- dimension reduction
- feature engineering
- hyperparameter optimization
- qualitative analysis
- neural computing
- hybrid models
- heuristic methods
- data augmentation
- univariate and bivariate analysis methods
- explainable analysis
- medical data interpretation
- deep mining
- transformer models
- self-learning and self-analytical models
- predictive models and analytics using artificial intelligence
