| Analyzing large microbiome datasets using machine learning and big data T Krause, JT Wassan, P Mc Kevitt, H Wang, H Zheng, M Hemmje BioMedInformatics 1 (3), 138-165, 2021 | 11 | 2021 |
| GenDAI–AI-Assisted Laboratory Diagnostics for Genomic Applications T Krause, E Jolkver, S Bruchhaus, M Kramer, M Hemmje 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 5 | 2021 |
| Understanding the role of (advanced) machine learning in metagenomic workflows T Krause, BGN Andrade, H Afli, H Wang, H Zheng, ML Hemmje AVI Workshop on Big Data Applications, Italian Workshop on Visualization and …, 2021 | 5 | 2021 |
| A Conceptual Architecture for AI-based Big Data Analysis and Visualization Supporting Metagenomics Research. T Reis, T Krause, MX Bornschlegl, ML Hemmje CERC, 264-272, 2020 | 5 | 2020 |
| A Systematic Approach to Diagnostic Laboratory Software Requirements Analysis T Krause, E Jolkver, P Mc Kevitt, M Kramer, M Hemmje Bioengineering 9 (4), 144, 2022 | 4 | 2022 |
| A Preliminary Evaluation of “GenDAI”, an AI-Assisted Laboratory Diagnostics Solution for Genomic Applications T Krause, E Jolkver, S Bruchhaus, P Mc Kevitt, M Kramer, M Hemmje BioMedInformatics 2 (2), 332-344, 2022 | 3 | 2022 |
| Design and Development of a qPCR-Based Mitochondrial Analysis Workflow for Medical Laboratories T Krause, L Glau, E Jolkver, F Leonardi-Essmann, PM Kevitt, M Kramer, ... BioMedInformatics 2 (4), 643-653, 2022 | 1 | 2022 |
| Towards the Improvement of Automated Scientific Document Categorization by Deep Learning T Krause arXiv preprint arXiv:1706.05719, 2017 | 1 | 2017 |
Matthias HemmjeProfessor of Computer Science, University of HagenVerified email at hemmje.de
