Missing data is a common occurrence in the time series domain, for instance due to faulty sensors, server downtime or patients not attending their scheduled appointments. One of the best methods to impute these missing values is Multiple Imputations by Chained Equations (MICE) which has the drawback that it can only model linear relationships among the variables in a multivariate time series. T…
In September 2020, researchers from Armenia, Chile, Germany and Japan met at the American University of Armenia for a virtual conference to discuss technologies with applications in smart cities, data science and information theory approaches for intelligent systems, technical challenges for intelligent environments, smart human centered computing, artificial neural networks, and deep learning.…