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Forschung · Publikationen

30 Jahre peer-reviewte Forschung.

Die vollständige Liste mit 28 Arbeiten zu Dokumentenanalyse, Handschrifterkennung und neuronalen Netzen.

  1. 2026 DCA P0 · Foundations: the biological grounding (four pillars) Preprint (Zenodo) · Neural Computation
  2. 2026 DCA P1 · Theory I: the convergence framework (Axioms A1 to A5, Prop. 1 to 4) Preprint (Zenodo) · TMLR
  3. 2026 DocVQA 2026 Technical Report · first place (>35B, 60.00%) Preprint (Zenodo) · IJDAR
  4. 2026 Enforcing 3D Coherence in Semi-Supervised Segmentation for Pancreatic Tumor Histopathology from Light Sheet Fluorescence Microscopy MIDL 2026 · PMLR 315 · Poster
  5. 2025 A benchmark analysis of feature selection and machine learning methods for environmental metabarcoding datasets CSBJ
  6. 2022 Application of a Deep Learning Approach to Analyze Large-Scale MRI Data of the Spine Healthcare / MDPI
  7. 2022 Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes DAS 2022
  8. 2021 Optimizing Small BERTs Trained for German NER Information / MDPI
  9. 2021 Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Fine-tuning arXiv
  10. 2021 Transformer for Handwritten Text Recognition using Bidirectional Post-Decoding ICDAR 2021
  11. 2021 One-Model Ensemble-Learning for Text Recognition of Historical Printings ICDAR 2021
  12. 2021 tfaip: a Generic and Powerful Research Framework for Deep Learning based on Tensorflow JOSS
  13. 2020 Two Semi-Supervised Training Approaches for Automated Text Recognition
  14. 2019 Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition ICDAR 2019
  15. 2019 End-To-End Measure for Text Recognition ICDAR 2019
  16. 2018 System Description of CITlab's Recognition & Retrieval Engine for ICDAR2017 Competition on Information Extraction in Historical Handwritten Records ICDAR 2017
  17. 2018 Neural Text Line Extraction in Historical Documents: A Two-Stage Clustering Approach
  18. 2018 READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents DAS 2018
  19. 2017 A Robust and Binarization-Free Approach for Text Line Detection in Historical Documents ICDAR 2017
  20. 2017 Decoding the Output of Neural Networks: A Discriminative Approach
  21. 2016 CITlab ARGUS for Keyword Search in Historical Handwritten Documents · ImageCLEF 2016 CEUR
  22. 2016 Cells in Multidimensional Recurrent Neural Networks JMLR
  23. 2016 Regular Expressions for Decoding of Neural Network Outputs Neural Networks
  24. 2016 CITlab ARGUS for Historical Handwritten Documents: HTRtS 2015 (tranScriptorium Dataset)
  25. 2014 CITlab ARGUS for Historical Handwritten Documents: HTRtS 2014 Handwritten Text Recognition Task
  26. 2014 CITlab ARGUS for Historical Data Tables: ANWRESH-2014 Word Recognition Task
  27. 2014 CITlab ARGUS for Arabic Handwriting: OpenHaRT 2013 Document Image Recognition Task
  28. 2012 Design Strategies for Weight Matrices of Echo State Networks Neural Computation