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9
Publications
Publications
Neural Dynamic Focused Topic Model
K. Cvejoski, R. Sanchez, C. Ojeda,
2023
SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview
K. Beckh, S. Müller, M. Jakobs, V. Toborek, H. Tan, R. Fischer, P. Welke, S. Houben, L. von Rüden,
2023
Robustness in Fatigue Strength Estimation
D. Weichert, A. Kister, S. Houben, G. Ernis, S. Wrobel,
2023
Energy Efficiency Considerations for Popular AI Benchmarks
R. Fischer, M. Jakobs, K. Morik,
2023
Shapley Values with Uncertain Value Functions
R. Heese, S. Mücke, M. Jakobs, T. Gerlach, N. Piatkowski,
2023
Feature Selection on Quantum Computers
S. Mücke, R. Heese, S. Mülle, M. Wolter, N. Piatkowski,
2023
Compiling and Deploying Machine Learning Models to Bare-Metal Devices with TinyIREE
M. Brehler, H. C. Liu, B. Vanik, S. Camphausen, L. Dong, S. Laurenzo,
2023
Computing Divergences between Discrete Decomposable Models
L. K. Lee, N. Piatkowski, F. Petitjean, G. I. Webb,
2023
MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs
E. Brito, H. Iser,
2023
The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications
S. van den Elzen, G. Andrienko, N. Andrienko, B. D. Fisher, R. M. Martins, J. Peltonen, A. C. Telea, M. Verleysen,
2023
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