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Journal of Digital Information Management (JDIM)
International Journal of Computational Linguistics Research (IJCL)
International Journal of Web Application (IJWA)


Digital Signal Processing and Artificial Intelligence for Automatic Learning
Aim and Scope

The Machine Learning journal invites submissions of original contributions to a special issue on Digital signal processing and artificial intelligence for automatic learning (AL). AL usually plays an important role in the transition from data storage to decision support systems based on very large databases of signals such as the data obtained from sensor networks, internet services, or communication systems. These systems stimulate development of both computational solutions and novel models. Signals from real-world systems such as speech, music, bio-medical, multimedia, among others, are usually quite complex making digital signal processing very useful to automate analytic operations in order to retrieve information from the data storage.
Topics will range from foundations for real-world systems, and speech processing to language analysis, biomedicine, convergence and complexity analysis, machine learning, social networks, sparse representations, visual analytics, robust statistical methods.
This special issue solicits papers on machine learning approaches for all aspects of digital signal processing and artificial intelligence for AL, including (but not being limited to) the topics such as:

    • Learning theory
    • Cognitive information processing
    • Neural networks
    • Classification and pattern recognition
    • Nonlinear signal processing
    • Graphical models and kernel methods
    • Genomic signals and sequences
    • Multichannel adaptive signal processing
    • Kernel methods and graphical models
    • Sparsity-aware learning
    • Subspace/manifold learning
    • Bayesian and distributed learning
    • Smart Grid, games, social networks
    • Computational Intelligence
    • Data-driven adaptive systems
    • Data-driven models
    • Multimodal data fusion
    • Multiset data analysis
    • Perceptual signal processing
    • Applications (biomedical signals, biometrics, bioinformatics)

    Revised and Final Version Submission

    Revised version should follow the same requirements as for the final version to format the paper, plus a detailed document about the modifications authors have made and author's response to reviewer's comments. Authors are requested to use the Journal Style for preparing the final camera-ready version. An example paper is available (LaTex source:). A template in PDF (template.pdf) and an MS word (template.doc) template can also be downloaded. Authors are requested to strictly follow the guidelines specified in the templates.

    All enquiries concerning the publication of accepted papers should be addressed to the editor-in-chief.

    Author Guidelines

    Authors should upload full original papers in electronic format at the Journal Management Online System (http://www.dline.info/jmpt/submission.php). The papers should not be longer than 20-25 pages, single column, double space, 11 or 12 pt font, including figures, tables and references. If the submitted papers are extensions of existing conference publications, the authors must submit a corresponding letter, specifying clearly what is new in the journal paper and how the submitted paper distinguishes itself from the published conference paper. We require at least in minimum 25% of new material in such a paper. Any submitted paper must not be fully or partially submitted to another Journal, Conference, or Workshop!


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