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2020 – today
- 2024
[c8]Johannes Villmow, Adrian Ulges, Ulrich Schwanecke:
Evaluating Contextualized Code Search in Practical User Studies. INFORMATIK 2024: 1395-1405- 2023
- [c7]Marco Wrzalik, Julian Eversheim, Johannes Villmow, Adrian Ulges, Dirk Krechel, Sven Spieckermann, Robert Forstner:
Value Stream Repair Using Graph Structure Learning. IEA/AIE (2) 2023: 15-32 - [c6]Johannes Villmow, Viola Campos, Jean Petry, Amine Abbad Andaloussi, Adrian Ulges, Barbara Weber:
How Well Can Masked Language Models Spot Identifiers That Violate Naming Guidelines? SCAM 2023: 131-142 - 2022
- [c5]Johannes Villmow, Viola Campos, Adrian Ulges, Ulrich Schwanecke:
Addressing Leakage in Self-Supervised Contextualized Code Retrieval. COLING 2022: 1006-1013 - [i2]Johannes Villmow, Viola Campos, Adrian Ulges, Ulrich Schwanecke:
Addressing Leakage in Self-Supervised Contextualized Code Retrieval. CoRR abs/2204.11594 (2022) - 2021
- [c4]Johannes Villmow, Adrian Ulges, Ulrich Schwanecke:
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks. IJCNN 2021: 1-10 - 2020
- [c3]Felix Binder, Johannes Villmow, Adrian Ulges:
Bidirectional Transformer Language Models for Smart Autocompletion of Source Code. GI-Jahrestagung 2020: 915-922
2010 – 2019
- 2019
- [c2]Haseeb Shah
, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait:
An Open-World Extension to Knowledge Graph Completion Models. AAAI 2019: 3044-3051 - [i1]Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait:
An Open-World Extension to Knowledge Graph Completion Models. CoRR abs/1906.08382 (2019) - 2018
- [c1]Johannes Villmow, Marco Wrzalik, Dirk Krechel:
Automatic Keyphrase Extraction Using Recurrent Neural Networks. MLDM (2) 2018: 210-217
Coauthor Index
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