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2020 – today
- 2023
[c9]Sarah Lang, Bernhard Liebl, Manuel Burghardt:
Toward a Computational Historiography of Alchemy: Challenges and Obstacles of Object Detection for Historical Illustrations of Mining, Metallurgy and Distillation in 16th-17th Century Print. CHR 2023: 29-48- [c8]Nicolas Ruth, Manuel Burghardt, Bernhard Liebl:
From Clusters to Graphs - Toward a Scalable Viewing of News Videos. CHR 2023: 167-177 - [c7]Chiao-I Tseng, Bernhard Liebl, Manuel Burghardt, John A. Bateman:
FakeNarratives - First Forays in Understanding Narratives of Disinformation in Public and Alternative News Videos. DHd 2023: 138 - [c6]Bernhard Liebl, Manuel Burghardt:
Zoetrope - Interactive Feature Exploration in News Videos. DH 2023 - [c5]Bernhard Liebl, Manuel Burghardt:
Designing a Prototype for Visual Exploration of Narrative Patterns in NewsVideos. GI-Jahrestagung 2023: 831-840 - 2020
- [c4]Bernhard Liebl, Manuel Burghardt:
From Historical Newspapers to Machine-Readable Data: The Origami OCR Pipeline. CHR 2020: 351-373 - [c3]Manuel Burghardt, Bernhard Liebl:
"The Vectorian" - Eine parametrisierbare Suchmaschine für intertextuelle Referenzen. DHd 2020 - [c2]Jana Keck, Estelle Bunout, Marten Düring, Torsten Roeder, Sarah Oberbichler, Lino Wehrheim, Bernhard Liebl:
What's in the news? (Erfolgs-)Rezepte für das wissenschaftliche Arbeiten mit digitalisierten Zeitungen. DHd 2020 - [c1]Bernhard Liebl, Manuel Burghardt:
An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers. ICPR 2020: 5153-5160 - [i2]Bernhard Liebl, Manuel Burghardt:
An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers. CoRR abs/2004.07317 (2020) - [i1]Bernhard Liebl, Manuel Burghardt:
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation. CoRR abs/2008.02777 (2020)
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