Mücahit Cihan

Uncertainty-Gated Dual-Branch Additive–Attention Network for Robust and Calibrated Tabular Classification Under Missingness

Tabular deep learning is still challenging in real-world settings. Many datasets include both numerical and categorical variables, substantial missingness, and a need for not only strong classification performance but also interpretability and reliable probability estimates. DA2-Net is proposed to address this problem...