Home 9 Publications

Publications

Neural Dynamic Focused Topic Model

K. Cvejoski, R. Sánchez, C. Ojeda,
2023

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 Rueden,
2023

Robustness in Fatigue Strength Estimation

D. Weichert, A. Kister, S. Houben, G. Ernis, S. Wrobel,
2023

Explainable Online Ensemble of Deep Neural Network Pruning for Time Series Forecasting

A. Saadallah, M. Jakobs, K. Morik,
2022

Graph-Based Tensile Strength Approximation of Random Nonwoven Materials by Interpretable Regression

D. Antweiler, M. Marmening, N. Marheineke, A. Schmeißer, R. Wegener, P. Welke,
2022

Visual Analytics for Human-Centered Machine Learning

N. Andrienko, G. Andrienko, L. Adilova, S. Wrobel,
2022

Sicherheit von Quantum Machine Learning

E. Sultanoow, C. Bauckhage, C. Knopf, N. Piatkowski,
2022

QUBOs for Sorting Lists and Building Trees

C. Bauckhage, T. Gerlach, N. Piatkowski,
2022

Anonymization of German Financial Documents  Using Neural Network- Based Language Models with Contextual Word Representations

D. Biesner, R. Ramamurthy, R. Stenzl, M. Luebbering, L. Hillebrand, A. Ladi, M. Pielka, R. Loitz, C. Bauckhage, R. Sifa,
2022

A Generalized Weisfeiler-Lehman Graph Kernel

T. H. Schulz, P. Welke, T. Horvath, S. Wrobel,
2022