Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Providing a student with feedback that is timely, most suitable and useful for her personality and the performed task is a challenging problem of online assessment within Web-based...
Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizk...
Abstract-- Computational modellers are becoming increasingly interested in building large, eclectic, biological models. These may integrate nervous system components at various lev...
Benjamin Mitchinson, Tak-Shing Chan, Jonathan M. C...
Given a graph G, we say S V (G) is resolving if for each pair of distinct u, v V (G) there is a vertex x in S where d(u, x) = d(v, x). The metric dimension of G is the minimum c...
Our research focuses on creating and executing large-scale scientific workflows that often involve thousands of computations over distributed, shared resources. We describe an app...
Jihie Kim, Ewa Deelman, Yolanda Gil, Gaurang Mehta...