4 papers
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
Shailesh Tripathi, David Muhr, Brunner Manuel +3
The implementation of robust, stable, and user-centered data analytics and machine learning models is confronted by numerous challenges in production and manufacturing. Therefore,…
On conjectures of network distance measures by using graph spectra
Aleksandar Ilic, Matthias Dehmer
In this note we resolve three conjectures from [M. Dehmer, S. Pickl, Y. Shi, G. Yu, \emph{New inequalities for network distance measures by using graph spectra}, Discrete Appl. Mat…
Quantitative Graph Theory: A new branch of graph theory and in network science
Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi
In this paper, we describe {\sc quantitative graph theory} and argue it is a new graph-theoretical branch in network science, however, with significant different features compared…
Computational Analysis of the structural properties of Economic and Financial Networks
Frank Emmert-Streib, Aliyu Musa, Kestutis Baltakys +5
In recent years, methods from network science are gaining rapidly interest in economics and finance. A reason for this is that in a globalized world the interconnectedness among ec…