Towards Automated Auditing with Machine Learning. - Rafet Sifa; Anna Ladi; Maren Pielka; Rajkumar Ramamurthy; Lars Patrick Hillebrand; Birgit Kirsch; David Biesner; Robin Stenzel; Thiago Bell; Max Lübbering; Ulrich Nütten; Christian Bauckhage; et al. (DocEng, 2019)

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. - Eduardo Brito; Max Lübbering; David Biesner; Lars Patrick Hillebrand; Christian Bauckhage (CoRR, 2019)

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. - Lars Patrick Hillebrand; David Biesner; Christian Bauckhage; Rafet Sifa (CD-MAKE, 2020)

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. - Maren Pielka; Rafet Sifa; Lars Patrick Hillebrand; David Biesner; Rajkumar Ramamurthy; Anna Ladi; Christian Bauckhage (ICPR, 2020)

Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3. - David Biesner; Eduardo Brito; Lars Patrick Hillebrand; Rafet Sifa (SwissText/KONVENS, 2020)

Generative Deep Learning Techniques for Password Generation. - David Biesner; Kostadin Cvejoski; Bogdan Georgiev; Rafet Sifa; Erik Krupicka (CoRR, 2020)

Advances in Password Recovery Using Generative Deep Learning Techniques. - David Biesner; Kostadin Cvejoski; Bogdan Georgiev; Rafet Sifa; Erik Krupicka (ICANN (3), 2021)

Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. - Lars Patrick Hillebrand; David Biesner; Christian Bauckhage; Rafet Sifa (Mach. Learn. Knowl. Extr., 2021)

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. - David Biesner; Kostadin Cvejoski; Rafet Sifa (ARES, 2022)

Towards Generating Financial Reports from Tabular Data Using Transformers. - Clayton Leroy Chapman; Lars Patrick Hillebrand; Marc Robin Stenzel; Tobias Deußer; David Biesner; Christian Bauckhage; Rafet Sifa (CD-MAKE, 2022)

Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. - Helen Schneider; David Biesner; Sebastian Nowak 003; Yannik C. Layer; Maike Theis; Wolfgang Block; Benjamin Wulff; Alois M. Sprinkart; Ulrike I. Attenberger; Rafet Sifa (ESANN, 2022)

Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. - David Biesner; Thore Gerlach; Christian Bauckhage; Bernd Kliem; Rafet Sifa (ICMLA, 2022)

Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. - David Biesner; Maren Pielka; Rajkumar Ramamurthy; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Rafet Sifa (ICMLA, 2022)

Improving Chest X-Ray Classification by RNN-based Patient Monitoring. - David Biesner; Helen Schneider; Benjamin Wulff; Ulrike I. Attenberger; Rafet Sifa (ICMLA, 2022)

Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays. - Helen Schneider; Max Lübbering; Rebecca Kador; Maximilian Broß; Priya Priya; David Biesner; Benjamin Wulff; Thiago Bell Felix de Oliveira; Yannik C. Layer; Ulrike I. Attenberger; Rafet Sifa (SSCI, 2022)

Anonymization of German financial documents using neural network-based language models with contextual word representations. - David Biesner; Rajkumar Ramamurthy; Robin Stenzel; Max Lübbering; Lars Patrick Hillebrand; Anna Ladi; Maren Pielka; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (Int. J. Data Sci. Anal., 2022)

Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models. - Rebecca Kador; Helen Schneider; David Biesner; Babette Dellen; Rafet Sifa (IEEE Big Data, 2023)

Is one label all you need? Single positive multi-label training in medical image analysis. - Helen Schneider; Priya Priya; David Biesner; Rebecca Kador; Yannik C. Layer; Maike Theis; Sebastian Nowak 003; Alois M. Sprinkart; Ulrike I. Attenberger; Rafet Sifa (IEEE Big Data, 2023)

Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements. - Helen Schneider; David Biesner; Akash Ashokan; Maximilian Broß; Rebecca Kador; Sandra Halscheidt; Gabor Bagyo; Peter Dankerl; Haissam Ragab; Jin Yamamura; Christoph Labisch; Rafet Sifa (ESANN, 2023)

Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis. - Helen Schneider; Elif Cansu Yildiz; David Biesner; Yannik C. Layer; Benjamin Wulff; Sebastian Nowak 003; Maike Theis; Alois M. Sprinkart; Ulrike I. Attenberger; Rafet Sifa (ICANN (4), 2023)

FPGA-Placement via Quantum Annealing. - Thore Gerlach; Stefan Knipp; David Biesner; Stelios Emmanouilidis; Klaus Hauber; Nico Piatkowski (FPGA, 2024)

Quantum Optimization for FPGA-Placement. - Thore Gerlach; Stefan Knipp; David Biesner; Stelios Emmanouilidis; Klaus Hauber; Nico Piatkowski (QCE, 2024)

Deep Representation Learning for Analyzing Financial and Cybersecurity Data - David Biesner (2024)

Quantum Adiabatic Generation of Human-Like Passwords. - Sascha Mücke; Raoul Heese; Thore Gerlach; David Biesner; Loong Kuan Lee; Nico Piatkowski (CoRR, 2025)