Research group: Computational Medicine and Statistical Learning Laboratory (CMSL)
Research unit: Research Group
Latest research outputs
- Published
Graph measures with high discrimination power revisited: A random polynomial approach
Dehmer, M., Chen, Z., Emmert-Streib, F., Shi, Y. & Tripathi, S. 1 Oct 2018 In : Information Sciences. 467, p. 407-414 8 p.Research output: Contribution to journal › Article
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- E-pub ahead of print
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach
Dehmer, M., Chen, Z., Emmert-Streib, F., Mowshowitz, A., Shi, Y., Tripathi, S. & Zhang, Y. 29 Aug 2018 In : Information Sciences. 471, p. 19-28 10 p.Research output: Contribution to journal › Article
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- Published
Computational analysis of structural properties of economic and financial networks
Emmert-Streib, F., Musa, A., Baltakys, K., Kanniainen, J., Tripathi, S., Yli-Harja, O., Jodlbauer, J. & Dehmer, M. 15 Aug 2018 In : Journal of Network Theory in Finance. 4, 3, p. 1-32 32 p.Research output: Contribution to journal › Article
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ID: 10548657