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2020 – today
- 2024
[j1]Christoph Düsing, Philipp Cimiano, Sebastian Rehberg, Christiane Scherer, Olaf Kaup, Christiane Köster, Stefan Hellmich, Daniel Herrmann, Kirsten Laura Meier, Simon Claßen, Rainer Borgstedt:
Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapy. Artif. Intell. Medicine 157: 102982 (2024)- 2023
- [c5]Daniel Herrmann, Jan-Philip Pohl, Steffi Rentsch, Daniel Jahncke, Nina Lefeldt, Dieter von Hörsten:
Digitales Assistenzsystem zur Applikation von Pflanzenschutzmitteln. GIL Jahrestagung 2023: 345-350 - 2022
- [c4]Johanna Schröder, Dieter von Hörsten, Daniel Herrmann, Jens Karl Wegener:
Spot Farming - ein digitaler Lösungsansatz für eine kleins-kalige und nachhaltige Intensivierung der Landwirtschaft. GIL Jahrestagung 2022: 253-258
2010 – 2019
- 2018
- [c3]Markus Gödker, Daniel Herrmann, Thomas Franke:
User perspective on eco-driving HMIs for electric buses in local transport. MuC 2018 - 2016
- [c2]Jeremias Blendin, Daniel Herrmann, Matthias Wichtlhuber, Matthias Gunkel, Felix Wissel, David Hausheer
:
Enabling efficient multi-layer repair in elastic optical networks by gradually superimposing SDN. CNSM 2016: 118-126 - 2014
- [c1]Daniel Herrmann, Martin Turba, Arjan Kuijper, Immanuel Schweizer:
Inbound interdomain traffic engineering with LISP. LCN 2014: 458-461 - 2010
- [e1]Ulrich Faigle, Rainer Schrader, Daniel Herrmann:
9th Cologne-Twente Workshop on Graphs and Combinatorial Optimization, Cologne, Germany, May 25-27, 2010. Extended Abstracts. 2010 [contents] - [i2]Daniel Herrmann, Tom Kamphans, Elmar Langetepe:
Exploring Simple Triangular and Hexagonal Grid Polygons Online. CoRR abs/1012.5253 (2010)
2000 – 2009
- 2003
- [i1]Dominik Janzing, Daniel Herrmann:
Reliable and Efficient Inference of Bayesian Networks from Sparse Data by Statistical Learning Theory. CoRR cs.LG/0309015 (2003)
Coauthor Index
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