| A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ... PLoS One 16 (6), e0251194, 2021 | 18 | 2021 |
| A self-supervised deep learning method for data-efficient training in genomics HA Gündüz, M Binder, XY To, R Mreches, B Bischl, AC McHardy, ... Communications Biology 6 (1), 928, 2023 | 4 | 2023 |
| Modern Approaches in Natural Language Processing C Becker, N Hahn, B He, H Jabbar, M Plesiak, XY To, R Yang, J Wagner https://slds-lmu.github.io/seminar_nlp_ss20/, 2020 | 4 | 2020 |
| Correction: A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ... Plos one 17 (5), e0269047, 2022 | 3 | 2022 |
| Self-GenomeNet: Self-supervised Learning with Reverse-Complement Context Prediction for Nucleotide-level Genomics Data HA Gündüz, M Binder, XY To, R Mreches, PC Münch, AC McHardy, ... | 1 | 2021 |
| A self-supervised deep learning method for data-efficient training in genomics P Münch, HA Gündüz, M Binder, XY To, R Mreches, B Bischl, A McHardy, ... | | 2023 |
| Optimized model architectures for deep learning on genomic data P Münch, HA Gündüz, R Mreches, J Moosbauer, G Robertson, XY To, ... | | 2023 |
| A platform for deep learning on (meta) genomic sequences P Münch, R Mreches, XY To, HA Gündüz, J Moosbauer, S Klawitter, ... | | 2023 |
| Self-supervised Representation Learning for Genome Sequence Data XYJ To | | 2021 |
Philipp KopperUniversity of MunichBestätigte E-Mail-Adresse bei stat.uni-muenchen.de
