Home 9 Publications ( Page 3 )

Publications

Gradient Flows for Linear Discriminant Analysis

C. Bauckhage, R. Sifa,
2022

What Can We Expect from (Quantum) Digital Twins?

M. Amir, C. Bauckhage, A. Chircu, C. Czarnecki, C. Knopf, N. Piatkowski, E. Sultanow,
2022

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction for Financial Reports

L. Hillebrand, T. Deusser, C. Bauckhage, R. Sifa,
2022

Dynamic Review-based Recommenders

K. Cvejoski, R. Sánchez, C. Bauckhage, C. Ojeda,
2022

A Quantitative Human-Grounded Evaluation Process for Explainable ML

K. Beckh, S. Müller, S. Rüping,
2022

Fooling Perturbation-Based Explainability Methods

R. L. Wilking, M. Jakobs, K. Morik,
2022

A Unified Framework for Assessing Energy Efficiency of Machine Learning

R. Fischer, M. Jakobs, S. Mücke, K. Morik,
2022

SancScreen: Towards a real-world dataset for evaluating explainability methods

M. Jakobs, H. Kotthaus, I. Röder, M. Baritz,
2022

Towards Informed Pre-Training for Critical Error Detection in English-German

L. Pucknat, M. Pielka, R. Sifa,
2022

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation

D. Biesner, K. Cvejoski, R. Sifa,
2022