David Biesner

According to our database, David Biesner authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Representation Learning for Analyzing Financial and Cybersecurity Data

David Biesner

PhD thesis, 2024

FPGA-Placement via Quantum Annealing.

Thore Gerlach, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

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, Maike Theis, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the Artificial Neural Networks and Machine Learning, 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

Proceedings of the 31st European Symposium on Artificial Neural Networks, 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, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2023

Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models.

Rebecca Kador, Helen Schneider, David Biesner, Babette Dellen, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2023

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

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Improving Chest X-Ray Classification by RNN-based Patient Monitoring.

David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation.

Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the 30th European Symposium on Artificial Neural Networks, 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

Proceedings of the Machine Learning and Knowledge Extraction, 2022

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation.

David Biesner, Kostadin Cvejoski, Rafet Sifa

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

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

Advances in Password Recovery Using Generative Deep Learning Techniques.

David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Generative Deep Learning Techniques for Password Generation.

David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka

CoRR, 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

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 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

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM.

Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification.

Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage

CoRR, 2019

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, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz

Proceedings of the ACM Symposium on Document Engineering 2019, 2019