Mike Domaratzki

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Regression augmentation with data-driven segmentation.
Neural Networks
Shayan Alahyari, Shiva Mehdipour Ghobadlou, Mike Domaratzki
2026 J jnl
Sequential Bayesian estimation of the F1 score using the Dirichlet-multinomial model.
Int. J. Data Sci. Anal.
Surani Matharaarachchi, Maxime Turgeon, Mike Domaratzki, Saman Muthukumarana
2025 J jnl
Local Distribution-Based Adaptive Oversampling for Imbalanced Regression.
Trans. Mach. Learn. Res.
Shayan Alahyari, Mike Domaratzki
2025 J jnl
Local distribution-based adaptive oversampling for imbalanced regression.
CoRR
Shayan Alahyari, Mike Domaratzki
2025 J jnl
Regression Augmentation With Data-Driven Segmentation.
CoRR
Shayan Alahyari, Shiva Mehdipour Ghobadlou, Mike Domaratzki
2025 J jnl
SMOGAN: Synthetic Minority Oversampling with GAN Refinement for Imbalanced Regression.
CoRR
Shayan Alahyari, Mike Domaratzki
2025 J jnl
Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design.
CoRR
Lianghong Chen, Dongkyu Eugene Kim, Mike Domaratzki, Pingzhao Hu
2024 J jnl
Conditional probabilistic diffusion model driven synthetic radiogenomic applications in breast cancer.
PLoS Comput. Biol.
Lianghong Chen, Zi Huai Huang, Yan Sun, Mike Domaratzki, Qian Liu, Pingzhao Hu
2022 J jnl
Crop genomic selection with deep learning and environmental data: A survey.
Frontiers Artif. Intell.
Sheikh Jubair, Mike Domaratzki
2022 J jnl
Minimizing features while maintaining performance in data classification problems.
PeerJ Comput. Sci.
Surani Matharaarachchi, Mike Domaratzki, Saman Muthukumarana
2022 J jnl
Sparse bayesian learning for genomic selection in yeast.
Frontiers Bioinform.
Maryam Ayat, Mike Domaratzki