Deep learning with word embeddings improves biomedical named entity recognition M Habibi, L Weber, M Neves, DL Wiegandt, U Leser Bioinformatics 33 (14), i37-i48, 2017 | 664 | 2017 |
Comparative analysis of public knowledge bases for precision oncology S Pallarz, M Benary, M Lamping, D Rieke, J Starlinger, C Sers, ... JCO Precision Oncology 3, 1-8, 2019 | 36 | 2019 |
Recognizing chemicals in patents: a comparative analysis M Habibi, DL Wiegandt, F Schmedding, U Leser Journal of cheminformatics 8, 1-15, 2016 | 19 | 2016 |
VIST-a Variant-Information Search Tool for precision oncology J Ševa, DL Wiegandt, J Götze, M Lamping, D Rieke, R Schäfer, ... BMC bioinformatics 20, 1-11, 2019 | 17 | 2019 |
Patseg: a sequential patent segmentation approach M Habibi, A Rheinlaender, W Thielemann, R Adams, P Fischer, ... Big Data Research 19, 100133, 2020 | 5 | 2020 |
Performance of Gene Name Recognition Tools on Patents. M Habibi, DL Wiegandt, F Schmedding, U Leser SMBM, 3-10, 2016 | 1 | 2016 |
Graph n-grams for Scientific Workflow Similarity Search. DL Wiegandt, J Starlinger, U Leser LWDA, 213-224, 2016 | | 2016 |