Automatic Keyphrase Extraction Using Recurrent Neural Networks. - Johannes Villmow; Marco Wrzalik; Dirk Krechel (MLDM (2), 2018)

An Open-World Extension to Knowledge Graph Completion Models. - Haseeb Shah; Johannes Villmow; Adrian Ulges; Ulrich Schwanecke; Faisal Shafait (AAAI, 2019)

Bidirectional Transformer Language Models for Smart Autocompletion of Source Code. - Felix Binder; Johannes Villmow; Adrian Ulges (GI-Jahrestagung, 2020)

A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks. - Johannes Villmow; Adrian Ulges; Ulrich Schwanecke (IJCNN, 2021)

Addressing Leakage in Self-Supervised Contextualized Code Retrieval. - Johannes Villmow; Viola Campos; Adrian Ulges; Ulrich Schwanecke (COLING, 2022)

Value Stream Repair Using Graph Structure Learning. - Marco Wrzalik; Julian Eversheim; Johannes Villmow; Adrian Ulges; Dirk Krechel; Sven Spieckermann; Robert Forstner (IEA/AIE (2), 2023)

How Well Can Masked Language Models Spot Identifiers That Violate Naming Guidelines? - Johannes Villmow; Viola Campos; Jean Petry; Amine Abbad Andaloussi; Adrian Ulges; Barbara Weber (SCAM, 2023)

Evaluating Contextualized Code Search in Practical User Studies. - Johannes Villmow; Adrian Ulges; Ulrich Schwanecke (INFORMATIK, 2024)