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2020 – today
- 2024
[b1]David Biesner:
Deep Representation Learning for Analyzing Financial and Cybersecurity Data. University of Bonn, Germany, 2024- [c17]Thore Gerlach
, Stefan Knipp, David Biesner, Stelios Emmanouilidis, Klaus Hauber, Nico Piatkowski:
FPGA-Placement via Quantum Annealing. FPGA 2024: 43 - 2023
- [c16]Rebecca Kador, Helen Schneider, David Biesner, Babette Dellen, Rafet Sifa:
Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models. IEEE Big Data 2023: 2523-2528 - [c15]Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Is one label all you need? Single positive multi-label training in medical image analysis. IEEE Big Data 2023: 4963-4972 - [c14]Helen Schneider, David Biesner, Akash Ashokan, Maximilian Broß, Rebecca Kador, Sandra Halscheidt, Gabor Bagyo, Peter Dankerl, Haissam Ragab, Jin Yamamura, Christoph Labisch, Rafet Sifa:
Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements. ESANN 2023 - [c13]Helen Schneider, Elif Cansu Yildiz, David Biesner, Yannik C. Layer, Benjamin Wulff, Sebastian Nowak, Maike Theis, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis. ICANN (4) 2023: 165-176 - 2022
- [j2]David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. 13(2): 151-161 (2022) - [c12]David Biesner, Kostadin Cvejoski, Rafet Sifa:
Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. ARES 2022: 37:1-37:6 - [c11]Clayton Leroy Chapman, Lars Patrick Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage, Rafet Sifa:
Towards Generating Financial Reports from Tabular Data Using Transformers. CD-MAKE 2022: 221-232 - [c10]Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. ESANN 2022 - [c9]David Biesner, Thore Gerlach, Christian Bauckhage, Bernd Kliem, Rafet Sifa:
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. ICMLA 2022: 903-908 - [c8]David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa:
Improving Chest X-Ray Classification by RNN-based Patient Monitoring. ICMLA 2022: 946-950 - [c7]David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa:
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. ICMLA 2022: 1637-1642 - [c6]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:
Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays. SSCI 2022: 543-550 - [i4]David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa:
Improving Chest X-Ray Classification by RNN-based Patient Monitoring. CoRR abs/2210.16074 (2022) - [i3]David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa:
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. CoRR abs/2211.07716 (2022) - 2021
- [j1]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Mach. Learn. Knowl. Extr. 3(1): 123-167 (2021) - [c5]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) 2021: 15-27 - 2020
- [c4]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. CD-MAKE 2020: 401-422 - [c3]Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage:
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. ICPR 2020: 6696-6701 - [c2]David Biesner, Eduardo Brito, Lars Patrick Hillebrand, Rafet Sifa:
Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3. SwissText/KONVENS 2020 - [i2]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Generative Deep Learning Techniques for Password Generation. CoRR abs/2012.05685 (2020)
2010 – 2019
- 2019
- [c1]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:
Towards Automated Auditing with Machine Learning. DocEng 2019: 41:1-41:4 - [i1]Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. CoRR abs/1911.06121 (2019)
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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