ID |
Titel |
Autoren |
Institute |
Jahr |
Erscheinungsort |
Medium |
78 |
Explainable Machine Learning for Scientific Insights and Discoveries |
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke |
SCAI |
2020 |
IEEE Access |
Journal |
100 |
Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks |
Simone Gramsch, Alex Sarishvili, Andre Schmeißer |
ITWM |
2020 |
Journal Advances in Polymer Technology |
Journal |
111 |
Adiabatic Quantum Computing for Max-Sum Diversification |
C. Bauckhage, R. Sifa, and S. Wrobel |
IAIS |
2020 |
SIAM International Conference on Data Mining (SDM) |
Conference |
201 |
Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion |
Fabian Jirasek, Rodrigo A. S. Alves, Julie Damay, Robert A. Vandermeulen, Robert Bamler, Michael Bortz, Stephan Mandt, Marius Kloft, Hans Hasse |
ITWM |
2020 |
The Journal of Physical Chemistry Letters |
Journal |
209 |
Informed Machine Learning - A Survey and Taxonomy of Integrating Knowledge into Learning Systems |
L. von Rueden, S. Mayer, K. Beckh, B. Georgiev, S. Giesselbach, R. Heese, B. Kirsch, J. Pfrommer, A. Pick, R. Ramamurthy, M. Walczak, J. Garcke, C. Bauckhage, J. Schuecker |
IAIS, IOSB, ITWM, SCAI |
2020 |
IEEE Transactions on Knowledge and Data Engineering |
Journal |