Martin Happ
Martin Happ
Position: Postdoc-Position: Team Smart Analytics - PLUS
Datum Beginn: 01.07.2020
Datum Ende: 30.05.2021
Projekt: IDA Lab
Veröffentlichungen
- M. Happ, J.L. Du, M. Herlich, C. Maier, P. Dorfinger, J. Suárez-Varela: Exploring the Limitations of Current Graph Neural Networks for Network Modeling. (2022) https://doi.org/https://doi.org/10.1109/NOMS54207.2022.9789708
- G. Zimmermann, E. Brunner, W. Brannath, M. Happ, A. Bathke: Pseudo Ranks: The Better Way of Ranking?. (2021) https://doi.org/https://doi.org/10.1080/00031305.2021.1972836
- E. Gfrerer, D. Laina, G. Danae, M. Gibernau, R. Fuchs, M. Happ, T. Tolasch, W. Trutschnig, A.C. Hörger, H.P. Comes, S. Dötterl: Floral scents of a deceptive plant are hyperdiverse and under population-specific phenotypic selection. (2021) https://doi.org/https://doi.org/10.3389/fpls.2021.719092
- J. Suárez-Varela, M. Ferriol-Galmés, A. López, P. Almasan, G. Bernárdez , D. Pujol-Perich, K. Rusek, L. Bonniot, C. Neumann, F. Schnitzler, F. Taïani, M. Happ, C. Maier, J. Lei Du, M. Herlich, P. Dorfinger, N.V. Hainke, S. Venz, J. Wegener, H. Wissing, B. Wu, S. Xiao, P. Barlet-Ros, A. Cabellos-Aparicio: The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. (2021) https://doi.org/https://doi.org/10.1145/3477482.3477485
- M. Happ, M Herrlich, C. Maier, J. L. Du, P. Dorfinger: Graph‑neural‑network‑based delay estimation for communication networkswith heterogeneous scheduling policies. (2021) https://doi.org/https://doi.org/10.52953/TEJX5530
- A. Bathke, M. Happ, M. Hummer: Indirekte Impfeffekte für Kinder und Jugendliche bei Durchimpfung der Erwachsenen. (2021) https://doi.org/ Executive Policy Brief
