Saptarshi Bej, PhD
Saptarshi Bej, PhD
Assistant Professor at IISER- Tvm
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Citado por
Citado por
LoRAS: An oversampling approach for imbalanced datasets
S Bej, N Davtyan, M Wolfien, M Nassar, O Wolkenhauer
Machine Learning 110, 279-301, 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
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
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
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
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
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
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
On extension of regular graphs
A Banerjee, S Bej
Journal of Discrete Mathematical Sciences and Cryptography 21 (1), 13-21, 2018
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
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
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
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
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
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
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
Hamiltonian cycles in annular decomposable Barnette graphs
S Bej
Journal of Discrete Mathematical Sciences and Cryptography, 1-15, 2022
Improved imbalanced classification through convex space learning
S Bej
Dissertation, Rostock, Universität Rostock, 2021, 2021
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
R Bordoloi, C Réda, O Trautmann, S Bej, O Wolkenhauer
arXiv preprint arXiv:2402.13103, 2024
Whole blood RNA sequencing identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis
EM Wacker, F Uellendahl-Werth, S Bej, O Wolkenhauer, M Vesterhus, ...
JHEP Reports 6 (2), 100988, 2024
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