Code, per-seed logs, and real NIST GIAB HG001 (GRCh38 v4.2.1) datasets for "Bias-Offset Sensitivity, Scale-Width Mismatch, and Majority-Class Collapse in C1 Piecewise-Quadratic Rectifiers" (Neurocomputing). Supported by the Faculty of Informatics, Mahasarakham University.
deep-learning variant-calling class-imbalance activation-functions neurocomputing smelu rectlu giab-benchmark mahasarakham-university
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Updated
Nov 1, 2026 - Python