Home 9 Publications

Publications

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

TinyIREE: An ML Execution Environment for Embedded Systems from Compilation to Deployment

H. Liu, M. Brehler, M. Ravishankar, N. Vasilache, B. Vanik, S. Laurenzo,
2022

Yes We Care! – Certification for Machine Learning Methods through the Care Label Framework

K. Morik, H. Kotthaus, L. Heppe, D. Heinrich, R. Fischer, S. Mücke, A. Pauly, M. Jakobs, N. Piatkowski,
2022

Surrogate Model-Based Explainability Methods for Point Cloud NNs

H. Tan, H. Kotthaus,
2022