Active Spaces are physical spaces augmented with heterogeneous computing and communication devices along with supporting software infrastructure. This integration facilitates coll...
Geetanjali Sampemane, Prasad Naldurg, Roy H. Campb...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
: Computing is being transformed to a model consisting of services that are commoditised and delivered in a manner similar to utilities such as water, electricity, gas, and telepho...
The concept of sequential two-sided search is widely used in partnerships formation applications in various domains. However, when considering the implementation of the method in M...