| Insights into sex chromosome evolution and aging from the genome of a short-lived fish K Reichwald, A Petzold, P Koch, BR Downie, N Hartmann, S Pietsch, ... Cell 163 (6), 1527-1538, 2015 | 276 | 2015 |
| Reduced cGMP levels in CSF of AD patients correlate with severity of dementia and current depression R Hesse, L Lausser, P Gummert, F Schmid, A Wahler, C Schnack, ... Alzheimer's research & therapy 9 (1), 1-11, 2017 | 40 | 2017 |
| Genetic factors of the disease course after sepsis: rare deleterious variants are predictive S Taudien, L Lausser, EJ Giamarellos-Bourboulis, C Sponholz, ... EBioMedicine 12, 227-238, 2016 | 37 | 2016 |
| BiTrinA—multiscale binarization and trinarization with quality analysis C Müssel, F Schmid, TJ Blätte, M Hopfensitz, L Lausser, HA Kestler Bioinformatics 32 (3), 465-468, 2016 | 34 | 2016 |
| Semantic multi-classifier systems for the analysis of gene expression profiles L Lausser, F Schmid, M Platzer, MJ Sillanpää, HA Kestler Special Issue: Selected Papers of the 3rd German-Polish Symposium on Data …, 2017 | 20 | 2017 |
| Elevated Hedgehog activity contributes to attenuated DNA damage responses in aged hematopoietic cells A Scheffold, AH Baig, Z Chen, SE Von Löhneysen, F Becker, Y Morita, ... Leukemia 34 (4), 1125-1134, 2020 | 13 | 2020 |
| Sputnik: ad hoc distributed computation G Völkel, L Lausser, F Schmid, JM Kraus, HA Kestler Bioinformatics 31 (8), 1298-1301, 2015 | 13 | 2015 |
| Rank-based classifiers for extremely high-dimensional gene expression data L Lausser, F Schmid, LR Schirra, AFX Wilhelm, HA Kestler Advances in Data Analysis and Classification 12 (4), 917-936, 2018 | 12 | 2018 |
| GiANT: gene set uncertainty in enrichment analysis F Schmid, M Schmid, C Müssel, JE Sträng, C Buske, L Bullinger, ... Bioinformatics 32 (12), 1891-1894, 2016 | 11 | 2016 |
| Assessing phenotype order in molecular data L Lausser, LM Schäfer, LR Schirra, R Szekely, F Schmid, HA Kestler Scientific reports 9 (1), 11746, 2019 | 9 | 2019 |
| Unlabeling data can improve classification accuracy L Lausser, F Schmid, M Schmid, HA Kestler Pattern Recognition Letters 37, 15-23, 2014 | 7 | 2014 |
| Binarize: Binarization of one-dimensional data S Mundus, C Müssel, F Schmid, L Lausser, TJ Blätte, M Hopfensitz, ... | 5 | 2015 |
| On the utility of partially labeled data for classification of microarray data L Lausser, F Schmid, HA Kestler IAPR International Workshop on Partially Supervised Learning, 96-109, 2011 | 4 | 2011 |
| Efficient cross-validation traversals in feature subset selection L Lausser, R Szekely, F Schmid, M Maucher, HA Kestler Scientific Reports 12 (1), 21485, 2022 | 3 | 2022 |
| Ordinal prototype-based classifiers A Burkovski, LR Schirra, F Schmid, L Lausser, HA Kestler Arch. Data Sci., Ser. A 2, 3-21, 2017 | 3 | 2017 |
| Interpretable classifiers in precision medicine: Feature selection and multi-class categorization LR Schirra, F Schmid, HA Kestler, L Lausser Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016 | 3 | 2016 |
| Linear contrast classifiers in high-dimensional spaces F Schmid, L Lausser, HA Kestler Artificial Neural Networks in Pattern Recognition: 6th IAPR TC 3 …, 2014 | 3 | 2014 |
| Constraining classifiers in molecular analysis: invariance and robustness L Lausser, R Szekely, A Klimmek, F Schmid, HA Kestler Journal of the Royal Society Interface 17 (163), 20190612, 2020 | 2 | 2020 |
| Three transductive set covering machines F Schmid, L Lausser, HA Kestler Data Analysis, Machine Learning and Knowledge Discovery, 303-311, 2014 | 2 | 2014 |
| Martin Hopfensitz, Christoph Müssel and Hans A. Kestler April 4, 2023 TJ Blätte, F Schmid, S Mundus, L Lausser | | 2023 |
