Author

K. F. Akhter

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Preprint Jul 2026

A Fair Benchmarking of Deep Relational Database Learning Models

Relational databases (RDBs) are the primary data infrastructure in many enterprises, yet recent deep learning methods designed for RDBs have been evaluated under inconsistent experimental protocols, making fair comparison difficult. We present one of the first systematic benchmarking studies of recently released deep l...

K. F. Akhter, Bharath Ajendla, Manar D. Samad · 1 citation

#machine learning Open access Aug 2026

Generalized context in cross attention for transfer learning of disjoint tabular data.

The experiments show that CATTLE can learn generalized context from a single source data set and is rank-wise and statistically superior to nine state-of-the-art baselines, including machine learning, deep learning, and transfer learning methods using large-scale pre-trained models.

K. F. Akhter, Ibna Kowsar, Manar D. Samad · Neural Networks · 0 citations