| LoRAS: An oversampling approach for imbalanced datasets S Bej, N Davtyan, M Wolfien, M Nassar, O Wolkenhauer Machine Learning 110, 279-301, 2021 | 117 | 2021 |
| Protein-coding variants contribute to the risk of atopic dermatitis and skin-specific gene expression S Mucha, H Baurecht, N Novak, E Rodríguez, S Bej, G Mayr, H Emmert, ... Journal of Allergy and Clinical Immunology 145 (4), 1208-1218, 2020 | 46 | 2020 |
| Cross-tissue transcriptome-wide association studies identify susceptibility genes shared between schizophrenia and inflammatory bowel disease F Uellendahl-Werth, C Maj, O Borisov, S Juzenas, EM Wacker, ... Communications biology 5 (1), 80, 2022 | 22 | 2022 |
| Identification and epidemiological characterization of type-2 diabetes sub-population using an unsupervised machine learning approach S Bej, J Sarkar, S Biswas, P Mitra, P Chakrabarti, O Wolkenhauer Nutrition & Diabetes 12 (1), 27, 2022 | 20 | 2022 |
| A multi-schematic classifier-independent oversampling approach for imbalanced datasets S Bej, K Schulz, P Srivastava, M Wolfien, O Wolkenhauer IEEE Access 9, 123358-123374, 2021 | 20 | 2021 |
| Contribution of synthetic data generation towards an improved patient stratification in palliative care W Hahn, K Schütte, K Schultz, O Wolkenhauer, M Sedlmayr, U Schuler, ... Journal of Personalized Medicine 12 (8), 1278, 2022 | 12 | 2022 |
| Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling S Bej, AM Galow, R David, M Wolfien, O Wolkenhauer BMC bioinformatics 22, 1-17, 2021 | 12 | 2021 |
| Self-attention-based models for the extraction of molecular interactions from biological texts P Srivastava, S Bej, K Yordanova, O Wolkenhauer Biomolecules 11 (11), 1591, 2021 | 12 | 2021 |
| On extension of regular graphs A Banerjee, S Bej Journal of Discrete Mathematical Sciences and Cryptography 21 (1), 13-21, 2018 | 7 | 2018 |
| ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets K Schultz, S Bej, W Hahn, M Wolfien, P Srivastava, O Wolkenhauer arXiv preprint arXiv:2206.09812, 2022 | 6 | 2022 |
| Factors of edge-chromatic critical graphs: a brief survey and some equivalences S Bej, E Steffen Lect. Notes Semin. Interdiscip. Mat 14, 37-48, 2017 | 6 | 2017 |
| ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets K Schultz, S Bej, W Hahn, M Wolfien, P Srivastava, O Wolkenhauer Pattern Recognition 147, 110138, 2024 | 5 | 2024 |
| Comprehensive characterization of multitissue expression landscape, co-expression networks and positive selection in pikeperch JA Nguinkal, M Verleih, L De Los Rios-Perez, RM Brunner, A Sahm, S Bej, ... Cells 10 (09), 2289, 2021 | 5 | 2021 |
| Accounting for diverse feature-types improves patient stratification on tabular clinical datasets S Bej, C Umesh, M Mahendra, K Schultz, J Sarkar, O Wolkenhauer Machine Learning with Applications 14, 100490, 2023 | 3 | 2023 |
| Convgen: A Convex Space Learning Approach for Deep-Generative Oversampling and Imbalanced Classification of Small Tabular Datasets K Schultz, W Hahn, M Wolfien, P Srivastava, O Wolkenhauer, S Bej Available at SSRN 4332129, 2023 | 2 | 2023 |
| Hamiltonian cycles in annular decomposable Barnette graphs S Bej Journal of Discrete Mathematical Sciences and Cryptography, 1-15, 2022 | 2 | 2022 |
| Attention Retrieval Model for Entity Relation Extraction From Biological Literature P Srivastava, S Bej, K Schultz, K Yordanova, O Wolkenhauer IEEE Access 10, 22429-22440, 2022 | 2 | 2022 |
| Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets S Bej, P Srivastava, M Wolfien, O Wolkenhauer 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| The timing of contact restrictions and pro-active testing balances the socio-economic impact of a lockdown with the control of infections S Bej, O Wolkenhauer medRxiv, 2020.05. 08.20095596, 2020 | 2 | 2020 |
| Convex space learning for tabular synthetic data generation M Mahendra, C Umesh, S Bej, K Schultz, O Wolkenhauer arXiv preprint arXiv:2407.09789, 2024 | 1 | 2024 |
