SEMIR replaces dense voxel computation with a learned topology-preserving graph minor that supports exact decoding and GNN-based inference for small-structure segmentation in large medical images.
Algorithms for Hyper-Parameter Optimization , url =
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A domain-tuned multi-objective search over generative-model hyperparameters improves synthetic flight-diversion data quality and boosts diversion prediction versus real-data-only training.
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SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation
SEMIR replaces dense voxel computation with a learned topology-preserving graph minor that supports exact decoding and GNN-based inference for small-structure segmentation in large medical images.
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Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework
A domain-tuned multi-objective search over generative-model hyperparameters improves synthetic flight-diversion data quality and boosts diversion prediction versus real-data-only training.