Mike Domaratzki

Selected publications

• S. Alahyari, S. M. Ghobadlou, and M. Domaratzki, “Regression augmentation with data-driven segmentation,” Neural Networks, 2026, doi: 10.1016/j.neunet.2026.108603.
• S. Jubair and M. Domaratzki, “Crop genomic selection with deep learning and environmental data: A survey,” Frontiers in Artificial Intelligence, 2023, doi: 10.3389/frai.2022.1040295
• S. Matharaarachchi, M. Domaratzki, and S. Muthukumarana, “Enhancing SMOTE for imbalanced data with abnormal minority instances,” Machine Learning with Applications, 2024, doi: 10.1016/j.mlwa.2024.100597.
• A. Morshedian and M. Domaratzki, “LSTM-attention-guided graph neural networks for integrated genotype–Environment modeling in maize yield prediction,” PLOS Computational Biology, 2026, doi: 10.1371/journal.pcbi.1013729.