Machine Learning and Statistical Modeling with Applications in Real-World Data and Artificial Intelligence

Dear Colleagues,

The focus of this Special Issue is machine learning and statistical modeling for facing real-world problems, such as COVID-19 pandemic-related data. We welcome contributions in artificial intelligence, classification, and supervised/unsupervised learning, as well as in the topics detailed below. We especially encourage interdisciplinary works.

This Special Issue looks for submissions including, but not limited to, those in applied data science with potential applications in COVID-19 and emphasis in the following areas (in alphabetical order):

(i) Artificial intelligence.

(ii) Bayesian methods.

(iii) Big data, dimensionality high, and large-scale data analysis.

(iv) Deep and statistical learning.

(v) Machine learning.

(vi) Evolutionary-based, game-based, physics-based, and swarm-based algorithms, among others.

(vii) Multivariate analysis as clustering, PCA, and PLS, among others.

(viii) Statistical modeling and its diagnostics.

Prof. Dr. Victor Leiva
Guest Editor

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