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ORCIDCornelius Fritz
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Journal Articles
- 2023
[j4]Cornelius Fritz
, Giacomo De Nicola, Felix Günther, David Rügamer, Martje Rave, Marc Schneble, Andreas Bender, Maximilian Weigert, Ralph Brinks, Annika Hoyer, Ursula Berger, Helmut Küchenhoff, Göran Kauermann:
Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany. J. Comput. Graph. Stat. 32(3): 765-766 (2023)- [j3]David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller:
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 105(2) (2023) - [j2]Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann:
All that glitters is not gold: Relational events models with spurious events. Netw. Sci. 11(2): 184-204 (2023) - 2021
- [j1]Cornelius Fritz, Paul W. Thurner, Göran Kauermann:
Separable and semiparametric network-based counting processes applied to the international combat aircraft trades. Netw. Sci. 9(3): 291-311 (2021)
Informal and Other Publications
- 2024
- [i6]Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer:
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression. CoRR abs/2405.05429 (2024) - [i5]Håvard Hegre, Paola Vesco, Michael Colaresi, Jonas Vestby, Alexa Timlick, Noorain Syed Kazmi, Friederike Becker, Marco Binetti, Tobias Bodentien, Tobias Bohne, Patrick T. Brandt, Thomas Chadefaux, Simon Drauz, Christoph Dworschak, Vito D'Orazio, Cornelius Fritz, Hannah Frank, Kristian Skrede Gleditsch, Sonja Häffner, Martin Hofer, Finn L. Klebe, Luca Macis, Alexandra Malaga, Marius Mehrl, Nils W. Metternich, Daniel Mittermaier, David Muchlinski, Hannes Mueller, Christian Oswald, Paola Pisano, David Randahl, Christopher Rauh, Lotta Rüter, Thomas Schincariol, Benjamin Seimon, Elena Siletti, Marco Tagliapietra, Chandler Thornhill, Johan Vegelius, Julian Walterskirchen:
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty. CoRR abs/2407.11045 (2024) - [i4]Alejandro Espinosa-Rada, Jürgen Lerner, Cornelius Fritz:
Socio-cognitive Networks between Researchers. CoRR abs/2407.21067 (2024) - 2022
- [i3]Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann:
Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations. CoRR abs/2205.13411 (2022) - 2021
- [i2]Cornelius Fritz, Emilio Dorigatti, David Rügamer:
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany. CoRR abs/2101.00661 (2021) - 2019
- [i1]Cornelius Fritz, Michael Lebacher, Göran Kauermann:
Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. CoRR abs/1905.10351 (2019)
Coauthor Index
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