Daniel Otten

According to our database, Daniel Otten authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Prompting in Practice: Investigating Software Developers' Use of Generative AI Tools.

Daniel Otten, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Denys Poshyvanyk

CoRR, October, 2025

Developers' Perspectives on Software Licensing: Current Practices, Challenges, and Tools.

Nathan Wintersgill, Trevor Stalnaker, Daniel Otten, Laura A. Heymann, Oscar Chaparro, Massimiliano Di Penta, Daniel M. Germán, Denys Poshyvanyk

CoRR, October, 2025

Territorial Acoustic Species Estimation using Acoustic Sensor Networks.

Leonhard Brüggemann, Daniel Otten, Frederik Sachser, Nils Aschenbruck

Ecol. Informatics, 2025

A classifier-deduced signal extraction approach for time difference estimation in acoustic sensor networks.

Leonhard Brüggemann, Mario Dyczka, Daniel Otten, Nils Aschenbruck

Ecol. Informatics, 2025

2024

Backdoor attacks on DNN and GBDT - A Case Study from the insurance domain.

Robin Kühlem, Daniel Otten, Daniel Ludwig, Anselm Hudde, Alexander Rosenbaum, Andreas Mauthe

CoRR, 2024

Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks.

Anita Eisenbürger, Daniel Otten, Anselm Hudde, Frank Hopfgartner

CoRR, 2024

Weather-Based Link Prediction for LEO-Satellite Networks using the WetLinks Dataset.

Eric Lanfer, Dominic Laniewski, Daniel Otten, Nils Aschenbruck

Proceedings of the IFIP Networking Conference, 2024

2023

Green Traffic Engineering by Line Card Minimization.

Daniel Otten, Max Ilsen, Markus Chimani, Nils Aschenbruck

Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

Green Segment Routing for Improved Sustainability of Backbone Networks.

Daniel Otten, Alexander Brundiers, Timmy Schüller, Nils Aschenbruck

Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

On Modelling the Power Consumption of a Backbone Network.

Daniel Otten, Sebastian Neuner, Nils Aschenbruck

Proceedings of the IEEE International Conference on Communications, 2023

Generating more Realistic Packet Loss Patterns for Wireless links using Neural Networks.

Daniel Otten, Thomas Hänel, Tim Römer, Nils Aschenbruck

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023